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Human Brain Project Specific Grant Agreement 3

Risultati finali

D3.3 Showcase 6 Release of closed-loop sensorimotor demonstrators

Release of a set of functional, closed-loop demonstrators, connecting developed cognitive architectures to relevant physical agents, demonstrating the performance of a range of sensorimotor tasks.

D2.1 Showcase 3 - DEMO3.1 and Showcase 4 - DEMO4.1

Proof of concept demos of large scale, full brain simulation corresponding to different brain states and consciousness levels and robot demonstration and simulation of object and scene recognition v1.

D3.14 Showcase 5 - Final demonstrator, in-hand object manipulation performed by robotic hand

Simulation of in-hand performing in-object manipulation.

D6.7 Health Data Cloud

Demonstrator of the Health Data Cloud functional platform

D5.12 Upper limb Closed-loop neurorehabilitation simulator

Prototype of the functional simulator integrating the brain activity simulated by the TVB and the use of the ISMORE simulator with transfer to physical system.

D3.18 Memory-based contextual awareness supporting intelligent action planning for a mobile unmanned system in industrial setting (PROMEN-AID)

This demonstrator entails a simulation model, publically accessible on EBRAINS, which illustrates efficacy of the developed functional cognitive architecture in supporting the desired behavior for the system, relying on a physics simulation. It also includes implementation of relevant technological bricks on a real-world system, demonstrated in an industrially relevant environment.

D2.4 Final Showcases

Showcase 3 – DEMO3.3Full brain simulation corresponding to different brain states and consciousness levels integrating meso and microcortical mechanisms.Showcase 4 – DEMO4.3Simulation of object and scene recognition v3. This simulation will illustrate how the brain may achieve image and scene recognition through the process of learning to construct internal models (latent representations) of objects and the environment. In addition, the demonstration will document which data have been gathered and curated to inform the model, how the data are used to build models, object perception recognition in large-scale networks, and how data and model applications can unfold for neuromorphic computing and robotics.

D3.16 Final demonstrator of the deep learning and SNN model for robot control in a conditional task using the industrial manipulator UR5 (SPIKEFERENCE)

Final demonstrator illustrating both the deep learning and the SNN models for solving a conditional task using an industrial robotic arm UR5e. The precise sequence of actions depends on external conditions and the robot will improvise using the abstracted prior information already learnt.

D3.17 Automated manipulation technology for industrial warehouse applications (GROW)

The demonstrator includes a simulation models, hosted on EBRAINS. It illustrates the developed cognitive architecture’s ability, following a learning stage (used to acquire relevant knowledge of objects to be manipulated), to recognize desired sets of objects and manipulate them as required by the application. Relevant components are also demonstrated in a real-world setting.

D3.6 Showcase 6 - Closed-loop demonstrators addressing advanced cognitive and sensorimotor functions

Release of a set of functional, closed-loop demonstrators, connecting developed cognitive architectures to relevant physical agents, building upon previously implemented sensorimotor modalities to illustrate the performance of a range of advanced cognitive tasks.

D1.9 Proof of concept simulations for validity solutions

A software will be developed showing first traits of integrating task relevant brain function and task-related learning into activity-based models. The prototype will be a first implementation of the concepts proposed in the blueprint (D3.19 at M40) and demonstrate the functionality of individual key elements relevant to model integration (such as plasticity via deep learning, Structured Flows on Manifolds (SFM) for Motion Description Language).Tasks contributing to this Deliverable: T1.11, T2.1, T2.4 and T3.1

D2.3 Showcase 3 - DEMO3.2 and Showcase 4 - DEMO4.2

Advanced large scale, full brain simulation corresponding to different brain states and consciousness levels and robot demonstration and simulation of object and scene recognition v2.

D1.1 Early prototype software interface with atlas services based on initial versions of data models including DEMO1 of Showcases 1 and 2

A prototype implementation of the software interface between TVB and EBRAINS atlas services will be available. This prototype will be based on first incomplete versions of data and metadata models for the multiscale connectome data and demonstrate the principle of hosting the novel multiscale connectome and regional multimodal characteristics in EBRAINS, as well as linking of multiscale models to the atlas. Showcase demonstrators will comprise the prototype software interface and a video illustrating the influence of regional variability on seizure propagation through individual brain networks. Detailed specifications for DEMO2 are provided.

D1.2 Advanced prototype software integrating heterogeneous region models including DEMO2 of Showcases 1 and 2

A more advanced prototype software will be available, in which early drafts of advanced mean field models are integrated in TVB and exchange with EBRAINS atlas services. Showcase demonstrators will be available in the prototype and illustrate functional (but incomplete) workflows including breaking of regional variance in subject-specific brain network models using EBRAINS atlas services, simulation of individual resting fMRI signals and validation against empirical brain imaging signals. Detailed specifications for DEMO3 are provided.

D1.5 Full integration of atlas services, models and validation including DEMO3 of Showcases 1 and 2

Software integrating workflows of EBRAINS services (atlas, knowledge graph, HIP) and TVB will be available making full use of the brain reference framework, comprising the release of a variety of models of human brain networks acknowledging population variability, assessment of reliability, and normative data on model parameters in relation to demographic, lifestyle, and cognitive data of large cohorts. Integrated workflows will be available to create personalised brain network models in small detailed cohorts, enabling mutual prediction of brain states in different healthy (rest, cognitive tasks) and diseased conditions. The software will allow demonstrations of the showcases comprising the evaluation of predictive power of epileptic patient brain models, validated on large retrospective cohort (>100 patients), ready for clinical trial testing; as well as demonstrations of sampling of individual degeneracy from empirical functional resting-state imaging data and reconstruction of virtual brain model variability.

D1.4 Multiscale network models

Demonstrators will be available in EBRAINS featuring a multiscale data-driven network model (microcircuit models for cortex, cerebellum, hippocampus, basal ganglia) using Neuron and NEST, and mean field models integrating the specifics of each brain region; model will be integrated in WP1 brain reference framework, and will be informed and validated against empirical data sets, including parameter maps for neuroreceptors, molecular regulators and their complexes with cellular partners.

D3.1 Showcase 5 - Proof of Concept, performing human-like digit configurations by robotic hand

Simulation of robotic hand performing human-like digit configurations.

D1.6 Software pipeline from neurophysiological and brain structural connectivity data to individualised TVB model

Software pipeline from neurophysiological and brain structural connectivity data to individualised TVB model equipped with synaptic and connectivity rate constants, derived from DCM (with supporting academic papers)

D5.7 EBRAINS Infrastructure

(Prototype); includes the working EBRAINS infrastructure. An accompanying report asserts the completion of all implementation, quality assurance and delivery of the infrastructure. Interim releases of the infrastructure are presented at given milestones.

D3.5 Showcase 5 - Intermediate prototype, performing human-like object manipulation by robotic hand

Simulation of robotic hand performing object manipulation.

D1.7 Ultra-high-resolution dedicated brain PET with time-of-flight and depth of interaction detection

Dedicated brain PET (dbPET) prototype in seating/reclined position, with time-of-flight and depth of interaction detection, able to produce reconstructed images with 1.0mm spatial resolution. Brain cortex thickness is 1.5-4.5mm, containing six layers with different functions and neuro receptors. 1.0mm 3D spatial resolution will allow to assess brain functional activity at cortex layer / deep nuclei level.

D5.8 EBRAINS modeling workflows implementation status at M42

M36 status on EBRAINS implementation and procedures, including open source workflows, simulation engines for multilevel brain modeling, and outlook for post-HBP phase.

D7.6 First functional version of OP7.7 - Dashboards giving access to project management data

Release of a Project Management Dashboard for project participants, managers, and governance to have a synthetic vision of project status and progress on the individual elements of the project framework. This Deliverable will also include an update with better assistance for the verification of project metadata collected.

D3.13 Computational architecture for hierarchical cognitive processing

The release will make available to EBRAINS' user community the computational architecture developed to address the considered range of problems, with speccial emphasis on the architecture's capacity for generalization (assessed in light of the degree of transfer of relevant functions to other tasks).

D4.7 EBRAINS FAIR data services (SC1) - status at M18

Knowledge Graph release with improved functionality and extended content, and updated inventory of related FAIR data, tools and services, prepared for, or released through the EBRAINS portal.

D4.8 EBRAINS Brain Atlas Services (SC2) - status at M18

Extended brain atlases with major update of murine and first release of basic NHP atlas, new toolboxes supporting clinical and neuroimaging usecases, as well as new releases of web-based spatial anchoring and data analysis tools.

D5.11 EBRAINS Closed loop AI and robotics workflows

Neurobotics Platform release with improved functionality, extended content, and updated inventory of related closed-loop models, tools, and services prepared for, or released through the EBRAINS portal.

D5.9 EBRAINS Closed loop AI and robotics workflows

Neurorobotics Platform release with improved functionality, extended content, and updated inventory of related closed-loop models, tools, and services prepared for, or released through the EBRAINS portal.

D3.4 Release of scaffold model including basal ganglia, cerebellum, and cerebral cortex

Detailed basal ganglia and cerebellar network models incorporating multiple plasticity mechanisms will be simplified to obtain point neuron network models retaining the main biological learning characteristics, and integrated into a functional model together with a cortical component.

D1.8: Long-COVID mechanisms: Hypothesis for long COVID based on AI and modelling

MRI data and meta-data from MRI analysis will be available on up to 144 subjects, 40 controls and 104 COVID. Models of brain dynamics from TVB will be demonstrated and compared between COVID and control subjects. BMFs extracted from qMRI and TVB modeling will be identified to explain long-COVID symptoms. Possible long-COVID scenarios will be proposed through MIP algorithms run on the entire cohort of subjects.

D4.1 EBRAINS FAIR data services (SC1) - status at M7

Knowledge Graph release with improved functionality and extended content, and inventory of related FAIR data, tools and services, prepared for, or released through the EBRAINS portal.

D3.2 Closed-loop visuomotor architecture supporting use of saccades for object recognition

Prototype cognitive architecture, integrating heterogeneous network modules and learning methods, with applications to visuo-motor related problems, including in-hand object manipulation.

D5.1 EBRAINS Closed loop AI and robotics workflows: Status at M9

Neurorobotics Platform release with improved functionality, extended content, and updated inventory of related closed-loop models, tools, and services prepared for, or released through the EBRAINS portal.

D4.16 Release of MIP 8.0 (SC5)

New release of MIP with strengthened data privacy and safety, optimized data factory and front-end, and novel federated algorithms

D3.11 Framework for plasticity and meta-plasticity learning rules

Large-scale deployment of the models and algorithms from Output 13 on available EBRAINS platforms, as well as a hybrid demonstrator exploiting the advantages of available EBRAINS platforms for learning-to-learn setups involving both synaptic plasticity and meta-plasticity.

D3.10 Framework for deep learning scheme for spike-based applications

Finalized and tested version of algorithms for advanced learning, implemented in software made available to a general audience (not limited to HBP, addressing the EBRAINS user community at large).

D5.2 EBRAINS modeling workflows implementation status at M9

M9 status on implementation procedures of interconnecting tools according to EBRAINS architecture specification, workflows and simulation engines, and mechanisms to port established SGA2 use cases into EBRAINS.

D9.2 Toolkit on equality in governance structures, procedures and implementation

Challenges to implement equality measures in the governance for an interdisciplinary, distributed partnership differ from the challenges single universities or regional projects face. The HBP has analysed and implemented suitable guidelines, structures and procedures which will be further developed according to the changes in SGA3 and evaluated with surveys and interviews. The toolkit will make the scientific background, best practice, and practical tools available for interdisciplinary projects with comparable challenges.

D5.6 EBRAINS Closed loop AI and robotics workflows: Status at M18

Neurorobotics Platform release with improved functionality, extended content, and updated inventory of related closed-loop models, tools, and services prepared for, or released through the EBRAINS portal.

D4.15 EBRAINS Brain Atlas Services - status at end of SGA3 (SC2)

Updated, high-coverage brain atlases including several ultrahigh-resolution 3D regions of interest from different modalities computed on FENIX HPC facilities, along with a software development kit for atlas services, and an inventory of well integrated web-based registration and analysis tools.

D5.10 Implementation of an original workflow for allosteric drug design based on state-based pharmacology with the accurate calculation of the protein-ligand binding affinity for a defined conformation of the receptor based on HPC resources (ChemFlow,work

ChemFlow aims at preparing, running, and analyzing a virtual screening campaign based on docking with free energy rescoring, efficiently and semi-automatically. ChemFlow is currently tested on a number of protein-ligand complexes and shall be distributed freely within the end of SGA

D6.3 NMC in EBRAINS with TRL 8 software

SpiNNaker-1 system and BrainScaleS-2 small scale system with TRL 8 software support and a front-end, which is fully integrated into the EBRAINS (Collab2). SpiNNaker with NRP integration.

D6.5 Final release of the Collaboratory

Final release of the Collaboratory at TRL 9 level

D3.9 Release of spiking models of visuo-motor coordination incorporating multiple brain regions, implemented in software, neuromorphic hardware, and neurorobotics

Models incorporating retina, thalamus, brainstem, basal ganglia, cerebellum, and cerebral cortex able to perform eye, hand, and arm movements, implemented in simulation software (NEURON, NEST, LFPy) and on SpiNNaker, and demonstrated in closed-loop scenarios with neurorobotics.

D4.12 EBRAINS FAIR data services (SC1) - status at the end of SGA3

Knowledge Graph release with improved functionality and extended content, and updated inventory of related FAIR data, tools and services released through the EBRAINS portal.

D4.9 Medical Data Analytics: Human intracerebral EEG Platform (HIP) and Medical Informatics Platform (MIP) (SC5) - status at M21

First release of HIP platform with all services needed for end-users to upload, store and curate iEEG data.

D4.13 Medical Data Analytics: Human intracerebral EEG Platform (HIP) and Medical Informatics Platform (MIP) (SC5) - status at M42

A fully operational HIP platform, providing all services needed to fully manage, share and analyse iEEG data within EBRAINS according to the HIP consortium charter, with ≥ 200 fully curated iEEG datasets

D5.5 EBRAINS modeling workflows implementation status at M21

M21 status on installed workflows and simulation engines including tools interconnected according to EBRAINS architecture specification, closed-loop simulation solutions, and new release of tools interconnected by EBRAINS APIs.

D4.2 EBRAINS Brain Atlas Services (SC2) - status at M8

Updated brain atlases including full coverage of cytoarchitectonic probabilistic maps and first microscopic resolution maps for human.

D7.9 Enabling digital neuroscience: 10 years of research, co-design development, and collaboration in the Human Brain Project

Overview of HBP outputs in science, data management, technology, and medicine. Social and economic impact. Education Programme. Equality and diversity in research. Responsible research and innovation. Innovation and exploitation of results. Future progress of EBRAINS.

D3.12 Neural network architectures for relational reasoning, planning, and cognitive intelligence

A neural network architecture will be built based on the neurobiology of the primate prefrontal cortex. Its performance will be evaluated on verbal and/or nonverbal intelligence tests. The deliverable will consist of (i) an evaluation dataset; (ii) the network code; and providing (iii) a summary of results achieved.

D3.19 Blueprint for task-capable prototype

Blueprint for task-capable prototype, including written document summarizing results of activities and conclusions. The document will identify lead paradigms, likely to be derived from existing cognitive tasks in WP2-WP3, discuss, interrogate, and analyse key challenges and propose solutions leading to the creation of a blueprint guiding the proposed prototype. The discussion will also include an evaluation of how models of brain states and cognition can be optimally integrated and an evaluation of the capacity of use of neuromorphic simulation.Tasks contributing to this Deliverable: T1.11, T2.1, T2.4 and T3.1

D3.7 Handbook for RRI for adaptive networks for cognitive architectures

The deliverable contains the processes required for responsible work on adaptive networks for cognitive architectures and a description of how these have been integrated into the work of the relevant HBP activities.

D6.4 Final release of the federated HPC, Cloud and storage infrastructure for EBRAINS

Final release of the improved and enhanced federated HPC, Cloud, storage and network infrastructure and related services for EBRAINS

D3.8 Cognitive architecture with visuo-motor and advanced cognitive functions

A report detailing the architecture, biologically plausible training procedure, embodiment and performance of a biologically detailed network architecture able to perform visuo-motor and complex A.I. tasks by employing hierarchical cognitive processing. The report will further include ongoing comparisons of brain activity generated by the architecture against neuroimaging and behavioural data.

D6.2 Intermediate release of the federated HPC, Cloud and storage infrastructure for EBRAINS

Intermediate release of the improved and enhanced federated HPC, Cloud, storage and network infrastructure and related services for EBRAINS

D7.5 Final report of the SGA3 Calls for Expression of Interest (CEoI)

This Deliverable will provide an overview of the management of the Calls for Expression of Interest (CEoI) for SGA3. It will include the description of the entire process, starting from the preparation of the call documents to the evaluation of the proposals. It will also include the information on the new projects selected for EC funding and on the new partners integrated int the HBP Consortium. This deliverable will have a confidential Annex.

D8.4 Final report on delivery of the HBP Engagement Strategy highlighting activities and impact of the Communication, Partnering, Media Relations, Exploitation, and Education & Outreach teams in SGA3

Final report on delivery of the HBP Engagement Strategy highlighting activities and impact of the Communication, Partnering, Media Relations, Exploitation, and Education & Outreach teams in SGA3.

D4.11 Sustained Community Building after 2023

Status of efforts and plan for sustained Community Building after end of HBP

D2.8 Ethics and philosophy articles to act as reference of cognition and consciousness research

These articles will propose criteria to analyse broadly relevant issues on the relationships between the complex networks and emergence of consciousness as well as between human and artificial intelligence/cognition. They will provide concrete empirical, theoretical and behavioural criteria for ascribing consciousness to humans also in clinical contexts (e.g. patients who suffer from disorders of consciousness), animals, and machines. They will suggest strategies for dealing with key ethical and societal implications of the research results and broadly communicate concrete measures to connect new communities of potential users of EBRAINS from social science and the humanities.

D9.4 Ethics Strategy for international collaboration on the integration of neuroethics and neuroscience

Drawing from an overview of the main challenges faced by the different international brain initiatives whenintegrating neuroethics and neuroscience, this deliverable will propose a general strategy and methodology (result ofcollaborative work) that fosters an ethically sustainable and conceptually sound research infrastructure (EBRAINS)and can be used by other Brain projects.

D8.6: Final report on the activities of the Task Force for Science and Communications

Description: This deliverable will summarize the activities of the Task Force for Science Communication aimed at intensifying communication of scientific achievements of the HBP in the final phase of the project targeting the media and public as well as decision makers. As an appendix, the deliverable will include printed communication material highlighting the scientific achievements of the HBP produced within T8.7, specifically, a small brochure (extended leaflet) published in Q1 2022, an end-of-year report highlighting HBP scientific achievements of 2022, a final report summarizing the HBP’s scientific achievements.

D7.4 Report of the EBRAINS research infrastructure voucher programme

This Deliverable will provide an overview of the management of the EBRAINS research infrastructure voucher programme for SGA3. It will include the description of the entire process, starting from the preparation of the call documents to the evaluation of the proposals. It will also include the information on the new projects selected for implementation.

D4.10 EBRAINS Compliance and Data Management Handbook

Including Ethics Compliance, Data Governance and Data Protection.

D5.3 EBRAINS Technical Coordination Guidelines

(Report, M10)Report presenting (a) the EBRAINS Infrastructure user requirements, its detailed logical architecture, deployment planning, integration approach and guidelines, (b) the delivery processes, quality assurance procedures, mechanisms and metrics/KPIs, software and software production management tools and dependency/licensing policies. The report will be continuously updated throughout the duration of the project to reflect the evolution and alignment of the EBRAINS infrastructure.

D5.13 Selection of 3 compounds able to inhibit the NLRP3 inflammasome activation in the low micro/nanomolar range endowed with drug-like properties

The compounds identified in silico simulations will be synthesized and tested in vitro to verify the anti-inflammatory effect. Best performing compounds will be selected according to preliminary ADME experiments. At least one compound will be identified for further in vivo studies and patenting.

D9.3 Analysis on cultural considerations in RRI and neuroethics

In order to develop an ethically sustainable Research Infrastructure, the examination of environmental (cultural, symbolic, social) variations and their impact on research, ethical assessment, and policy needs to be undertaken. This delivery provides such an analysis, focusing on the more relevant considerations and offering an overview of how they can be approached and evaluated. Insights will support reflection on cultural considerations in EBRAINS and brain research more generally.

"D2.7 Use-cases integrating analysis workflows and algorithms in EBRAINS and at least 3 largely collaborative ""Live scientific papers"""

"Novel measures of perceptual integration and joint multisensory object features, network perturbation and responsiveness, neuromodulatory network impact, wave propagation, network complexity and network synchronisation will be made available to the community. They will be associated with relevant data collections and validated models. The ""live papers"" will be associated with data, analysis tools and models in EBRAINS to act as platform demonstrators of WP2 activities."

D2.2 Early version of use case for cognitive performance integrating data and models

This early Deliverable will present an early version of an integrated use case for object recognition including existing data and models as well as specific planning for development ranging from experimental data, to models, neuromorphic implementations and potential uses in robotics.

D2.6 Data-driven and validated multiscale computational models and neuromorphic implementations

Our models will be mainly mesoscopic and will be integrated into the full brain models generated in WP1. They will reproduce emergent activity in various brain states, responsiveness, sensory processing and cognitive processes, departing from vision and reaching motor manipulation. Our NEST models will be used as a benchmark for analysis workflows, for execution on HPAC platforms. Network models will be adapted for real-time or faster-than-real-time execution on neuromorphic architectures (Spinnaker and BrainScaleS). Dendritic apical amplification will be integrated.

D 3.15 Process inspired EEG pattern predicting failure-sensitivity as indicated by fMRI mapping and/or ic recordings activity

Models, developed relying on EEG/fMRI or ic/scalp EEG recordings and ML, are used to produce EEG patterns which successfully predict failure sensitivity, as indicated by fMRI mapping and/or ic recordings

D4.14 EITN Activity Report

This report will summarise the activities of the EITN, the workshops and visitor programme, as well as the information that was made available through the EITN web site.

D9.1 EBRAINS RRI Capacity Development Plan

In order to be able to implement the eventual RRI plan, the personnel of the HBP and EBRAINS will need to develop the capacity to work with and implement these policies. This delivery contains a plan detailing which capacities are needed and how they can be achieved.

D5.4 Interim EBRAINS Infrastructure Implementation Report

(Report)Interim report presenting the delivered software, quality assurance performance, and delivery progress of the infrastructure.

D2.5 Multiscale datasets available in the EBRAINS KG (Tier-3 curated, following FAIR principles)

Data ranging from dendrites and single cell electrophysiology to full brain imaging (including calcium imaging, multineuronal recording, LFPs, iEEG, microECoG, fMRI) and from different species (human, rodent, monkey) will be made available in the EBRAINS KG. These data will be generated by the different tasks and will be articulated around specific questions (cognitive tasks, brain states, network responsiveness, conscious/unconscious perception) and live papers, along with the associated data-driven and validated models.

D1.3 Multiscale human whole brain connectome data set

Data set will be available comprising multiscale connectome and microscopic resolution 3D brain areas with realistic measurements of 3D cell densities and morphologies, densities and distributions of neurotransmitter receptors, nested connectomes and axonal conduction velocities, and functional brain imaging data, all directly linked to the probabilistic maps that interface to the macroscopic scale, fully annotated and curated, and organised in the same brain reference framework.

D6.1 Online documentation of Facility Hubs concept, offers and access

Public online documentation of the Facility Hub concept, ways how to get access and information about first available pilots

D9.5 Implementing RRI in EBRAINS: website, RRI toolkit and capacity building activities

This deliverable will contain an ERBAINS RRI toolkit, an implementation handbook and outcomes of the EBRAINS RRI development. The deliverable will contain agreed upon principles and practices that EBRAINS and other projects and infrastructures can implement development.

Pubblicazioni

The cortical microcircuitry of predictions and context – a multi-scale perspective

Autori: Lars Muckli, Lucy S. Petro, Clement Abbatecola, Ahsan Adeel, Johanna Bergmann, Nicolas Deperrois, Alain Destexhe, Nikolaus Kriegeskorte, Christiaan N. Levelt, Wolfgang Maass, A. Tyler Morgan, Paolo Papale, Cyriel M. A. Pennartz, Benjamin Peters, Mihai A. Petrovici, William. A. Phillips, Pieter R. Roelfsema, Robert N.S. Sachdev, Koen Seignette, Matthew W. Self, Fraser W. Smith, Johan F. Storm, Mich
Pubblicato in: 2023
Editore: Zenodo
DOI: 10.5281/zenodo.8380094

Overview of ethical issues across the HBP (OP9.9)

Autori: Manuel Guerrero
Pubblicato in: 2023
Editore: Zenodo
DOI: 10.5281/zenodo.8395701

Spiking Neural Network Equalization on Neuromorphic Hardware for IM/DD Optical Communication

Autori: Elias Arnold, Georg Böcherer, Eric Müller, Philipp Spilger, Johannes Schemmel, Stefano Calabrò, Maxim Kuschnerov
Pubblicato in: 2022
Editore: arXiv

Fast and Energy-efficient Deep Neuromorphic Learning

Autori: Julian Göltz, Laura Kriener, Virginie Sabado and Mihai A. Petrovici
Pubblicato in: 2021
Editore: ERCIM EEIG

The BrainScaleS Accelerated Analogue Neuromorphic Architecture

Autori: Johannes Schemmel
Pubblicato in: 2021
Editore: ERCIM EEIG

Complex Projects - Diverse Solutions? Theoretical Reflection, Practical Experiences, and Recommendations on Enhancing Equality, Diversity, and Inclusion in Research Projects

Autori: Grasenick, Karin, Romero, Pilar F., & Salles, Arleen.
Pubblicato in: 2023
Editore: Zenodo
DOI: 10.5281/zenodo.7756893

Software publication: yashchiki -- Container image build flow for BrainScaleS

Autori: Electronic Vision(s)
Pubblicato in: 2021
Editore: zenodo

The coming decade of digital brain research - A vision for neuroscience at the intersection of technology and computing

Autori: Katrin Amunts, Markus Axer, Lise Bitsch, Jan Bjaalie, Andrea Brovelli, Svenja Caspers, Jean-Pierre Changeux, Irene Costantini, Egidio D'Angelo, Giulia De Bonis, Gustavo Deco, Javier DeFelipe, Alain Destexhe, Timo Dicksheid, Markus Diesmann, Julie Dugue, Emrah Düzel, Simon B Eickhoff, Andreas K Engel, Kathinka Evers, Jan Fousek, Stephen Furber, Rainer Goebel, Onur Güntürkün, Alban d'Exaerde De
Pubblicato in: 2022
Editore: ZENODO
DOI: 10.5281/zenodo.6630232

New Collaboration Between the HBP’s Innovation and Ethics & Society Teams

Autori: Achim Rosemann and Guillermo Vellasco
Pubblicato in: 2021
Editore: HBP - HBP Innovation Team

Spiking Neural Network Equalization for IM/DD Optical Communication

Autori: Elias Arnold, Georg Böcherer, Eric Müller, Philipp Spilger, Johannes Schemmel , Stefano Calabrò, Maxim Kuschnerov
Pubblicato in: 2022
Editore: arXiv

BrainScaleS: Greater Versatility for Neuromorphic Emulation

Autori: Andreas Baumbach, Sebastian Billaudelle , Virginie Sabado and Mihai A. Petrovici
Pubblicato in: 2021
Editore: ERCIM EEIG

Opinion on Trust and Transparency in Artificial Intelligence - Ethics&Society, The Human Brain Project

Autori: Aicardi, Christine; Bitsch, Lise; Datta Burton, Saheli; Evers, Kathinka; Farisco, Michele; Mahfoud, Tara; Rose, Nikolas; Rosemann, Achim; Salles, Arleen; Stahl, Bernd; Ulnicane, Inga
Pubblicato in: 2021
Editore: HBP

Uncovering Neuronal Learning Principles through Artificial Evolution

Autori: Henrik D. Mettler, Virginie Sabado, Walter Senn, Mihai A. Petrovici and Jakob Jordan
Pubblicato in: 2021
Editore: ERCIM EEIG

Building Brains

Autori: Steve Furber
Pubblicato in: 2021
Editore: ERCIM EEIG

Opinion on 'Responsible Dual Use' Political, Security, Intelligence and Military Research of Concern in Neuroscience and Neurotechnology

Autori: Aicardi, Christine, Bitsch, Lise, Bang Bådum, Nicklas, Datta, Saheli, Evers, Kathinka, Farisco, Michele, Fothergill, Tyr, Giordano, James, Harris, Emma, Jørgensen, Marie Louise, Klüver, Lars, Mahfoud, Tara, Rainey, Stephen, Riisgaard, Karen, Rose, Nikolas, Salles, Arleen, Stahl, Bernd, & Ulnicane, Inga.
Pubblicato in: 2021
Editore: Zenodo
DOI: 10.5281/zenodo.4588601

Opinion and Action Plan on Data Protection and Privacy - Ethics&Society, Human Brain Project

Autori: Salles, Arleen; Stahl, Bernd; Bjaalie, Jan; Domingo-Ferrer, Josep; Rose, Nikolas; Rainey, Stephen; Spranger, Tade
Pubblicato in: 2021
Editore: Zenodo
DOI: 10.5281/zenodo.4588467

Challenges for Achieving Responsible Data Governance in European Health Data Space

Autori: Danish Board of Technology
Pubblicato in: 2023
Editore: zenodo
DOI: 10.5281/zenodo.8358373

Ethics and Society in Brain Research: Implementing Responsible Research and Innovation (RRI) in the Human Brain Project (HBP)

Autori: Bitsch, Lise; Salles, Arleen; Evers, Kathinka; Changeux, Jean-Pierre; Stahl, Bernd; Aicardi, Christine; Burton Datta, Saheli; Mahfoud, Tara; Reinsborough, Michael; Rose, Nikolas; Klüver, Lars; Ladegaard, Sissel Fibecker; Alves, Elsa; Nordfalk, Francisca; Bådum, Nicklas; Eke, Damian; Knight, Will; Grasenick, Karin; Romero, Pilar Flores; Ulnicane, Inga; Rosemann, Achim; Ogoh, George; Matar, Amal;
Pubblicato in: 2023
Editore: Zenodo
DOI: 10.5281/zenodo.7736402

Spiking model of the head direction cell system for orientation estimation

Autori: Rachael Stentiford, Thomas C. Knowles, Martin J. Pearson
Pubblicato in: 2021
Editore: NEST Conference 2021

Social, ethical & reflective work in the Human Brain Project

Autori: HBP SP12 and WP9
Pubblicato in: 2021
Editore: Human Brain Project

Building adaptable and reusable pipelines for investigating the features of slow cortical rhythms across scales, methods, and species

Autori: Robin Gutzen, Giulia De Bonis, Elena Pastorelli, Cristiano Capone, Chiara De Luca, Glynis Mattheisen, Anna Letizia Allegra Mascaro, Francesco Resta, Francesco Saverio Pavone, Maria V. Sanchez-Vives, Maurizio Mattia, Sonja Grün, Andrew Davison, Pier Stanislao Paolucci, Michael Denker
Pubblicato in: 2020
Editore: Ludwig-Maximilians-Universität München
DOI: 10.12751/nncn.bc2020.0030

Autocorrelations from emergent bistability in homeostatic spiking neural networks on neuromorphic hardware

Autori: Benjamin Cramer, Markus Kreft, Sebastian Billaudelle, Vitali Karasenko, Aron Leibfried, Eric Müller, Philipp Spilger, Johannes Weis, Johannes Schemmel, Miguel A. Muñoz, Viola Priesemann, Johannes Zierenberg
Pubblicato in: 2022
Editore: arXiv

Mixed-Signal Neuromorphic Device HICANN-X

Autori: Johannes Schemmel
Pubblicato in: 2021
Editore: imec

Paleoanthropology of cognition: an overview on Hominins brain evolution

Autori: Jean-Jacques Hublin, Jean-Pierre Changeux
Pubblicato in: Comptes Rendus. Biologies, Vol. 345, No. 2, 2022, ISSN 1768-3238
Editore: Cellule MathDoc/CEDRAM
DOI: 10.5802/crbiol.92

Evolving interpretable plasticity for spiking networks

Autori: Jakob Jordan, Maximilian Schmidt, Walter Senn, Mihai A Petrovici
Pubblicato in: eLife, Vol. 10, 2021, ISSN 2050-084X
Editore: eLife Sciences Publications
DOI: 10.7554/elife.66273

Brain-Inspired Spiking Neural Network Controller for a Neurorobotic Whisker System

Autori: Alberto Antonietti, Alice Geminiani, Edoardo Negri, Egidio D'Angelo, Claudia Casellato, Alessandra Pedrocchi
Pubblicato in: Frontiers in Neurorobotics, Vol. 16, 2022, ISSN 1662-5218
Editore: Frontiers Research Foundation
DOI: 10.3389/fnbot.2022.817948

FFClust: Fast fiber clustering for large tractography datasets for a detailed study of brain connectivity

Autori: Andrea Vázquez, Narciso López-López, Alexis Sánchez, Josselin Houenou, Cyril Poupon, Jean-François Mangin, Cecilia Hernández, Pamela Guevara
Pubblicato in: NeuroImage, Numero 220, 2020, Pagina/e 117070, ISSN 1053-8119
Editore: Academic Press
DOI: 10.1016/j.neuroimage.2020.117070

Comparison of Artificial and Spiking Neural Networks on Digital Hardware

Autori: Simon Davidson, Steve B. Furber
Pubblicato in: Frontiers in Neuroscience, Vol. 15, 2021, ISSN 1662-453X
Editore: Frontiers Media SA
DOI: 10.3389/fnins.2021.651141

Bridging Scales in Alzheimer's Disease: Biological Framework for Brain Simulation With The Virtual Brain

Autori: Leon Stefanovski, Jil Mona Meier, Roopa Kalsank Pai, Paul Triebkorn, Tristram Lett, Leon Martin, Konstantin Bülau, Martin Hofmann-Apitius, Ana Solodkin, Anthony Randal McIntosh, Petra Ritter
Pubblicato in: Frontiers in Neuroinformatics, Vol. 15, 2021, ISSN 1662-5196
Editore: Frontiers Research Foundation
DOI: 10.3389/fninf.2021.630172

Reciprocal interaction between striatal cholinergic and low‐threshold spiking interneurons — A computational study

Autori: Johanna Frost Nylén, Ilaria Carannante, Sten Grillner, Jeanette Hellgren Kotaleski
Pubblicato in: European Journal of Neuroscience, Numero 53/7, 2021, Pagina/e 2135-2148, ISSN 0953-816X
Editore: Blackwell Publishing Inc.
DOI: 10.1111/ejn.14854

Integrating psychosocial variables and societal diversity in epidemic models for predicting COVID-19 transmission dynamics

Autori: Viktor K. Jirsa, Spase Petkoski, Huifang Wang, Marmaduke Woodman, Jan Fousek, Cornelia Betsch, Lisa Felgendreff, Robert Bohm, Lau Lilleholt, Ingo Zettler, Sarah Faber, Kelly Shen, Anthony Randal Mcintosh
Pubblicato in: PLOS Digital Health, Vol. 1, No. 8, 2022, ISSN 2767-3170
Editore: Public Library of Science (PLoS)
DOI: 10.1371/journal.pdig.0000098

Spontaneous neuronal avalanches as a correlate of access consciousness

Autori: Giovanni Rabuffo, Pierpaolo Sorrentino, Christophe Bernard, Viktor Jirsa
Pubblicato in: Frontiers in Psychology, Vol. 13, 2022, ISSN 1664-1078
Editore: Frontiers Research Foundation
DOI: 10.3389/fpsyg.2022.1008407

NNMT: Mean-Field Based Analysis Tools for Neuronal Network Models

Autori: Moritz Layer, Johanna Senk, Simon Essink, Alexander van Meegen, Hannah Bos, Moritz Helias
Pubblicato in: Frontiers in Neuroinformatics, Vol. 16, 2022, ISSN 1662-5196
Editore: Frontiers Research Foundation
DOI: 10.3389/fninf.2022.835657

The Insula: A Stimulating Island of the Brain

Autori: Inès Rachidi, Lorella Minotti, Guillaume Martin, Dominique Hoffmann, Julien Bastin, Olivier David, Philippe Kahane
Pubblicato in: Brain Sciences, Vol. 11, No. 11, 2021, ISSN 2076-3425
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/brainsci11111533

From nose to brain: The effect of lemon inhalation observed by whole brain voxel to voxel functional connectivity

Autori: Charlotte Martial, Anne-Lise Poirrier, Laurence Pottier, Héléna Cassol, Sepehr Mortaheb, Rajanikant Panda, Mateo Lopez, Thibault Perrin, Antoine Boilevin, Olivia Gosseries, Steven Laureys
Pubblicato in: Cortex, Vol. 165, 2023, ISSN 0010-9452
Editore: Masson Publishing
DOI: 10.1016/j.cortex.2023.04.012

A guide to the BRAIN Initiative Cell Census Network data ecosystem

Autori: Michael Hawrylycz, Maryann E. Martone, Giorgio A. Ascoli, Jan G. Bjaalie, Hong-Wei Dong, Satrajit S. Ghosh, Jesse Gillis, Ronna Hertzano, David R. Haynor, Patrick R. Hof, Yongsoo Kim, Ed Lein, Yufeng Liu, Jeremy A. Miller, Partha P. Mitra, Eran Mukamel, Lydia Ng, David Osumi-Sutherland, Hanchuan Peng, Patrick L. Ray, Raymond Sanchez, Aviv Regev, Alex Ropelewski, Richard H. Scheuermann, Shawn Zheng
Pubblicato in: PLOS Biology, Vol. 21, No. 6, 2023, ISSN 1545-7885
Editore: Public Library of Science (PLoS)
DOI: 10.1371/journal.pbio.3002133

Exploring the human cerebral cortex using confocal microscopy

Autori: Luca Pesce, Annunziatina Laurino, Marina Scardigli, Jiarui Yang, David A. Boas, Patrick R. Hof, Christophe Destrieux, Irene Costantini, Francesco Saverio Pavone
Pubblicato in: Progress in Biophysics and Molecular Biology, 2021, ISSN 0079-6107
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.pbiomolbio.2021.09.001

Behavioral, Anatomical and Heritable Convergence of Affect and Cognition in Superior Frontal Cortex

Autori: Nevena Kraljević, H. Lina Schaare, Simon B. Eickhoff, Peter Kochunov, B.T. Thomas Yeo, Shahrzad Kharabian Masouleh, Sofie L. Valk
Pubblicato in: NeuroImage, Vol. 243, 2021, ISSN 1053-8119
Editore: Academic Press
DOI: 10.1016/j.neuroimage.2021.118561

A combinatorial input landscape in the “higher-order relay” posterior thalamic nucleus

Autori: Diana Casas-Torremocha, Mario Rubio-Teves, Anna Hoerder-Suabedissen, Shuichi Hayashi, Lucía Prensa, Zoltán Molnár, Cesar Porrero, Francisco Clasca
Pubblicato in: The Journal of Neuroscience, 2022, ISSN 0270-6474
Editore: Society for Neuroscience
DOI: 10.1523/jneurosci.0698-22.2022

Brownian Dynamics Simulations of Proteins in the Presence of Surfaces: Long-Range Electrostatics and Mean-Field Hydrodynamics

Autori: Martin Reinhardt, Neil J. Bruce, Daria B. Kokh, Rebecca C. Wade
Pubblicato in: Journal of Chemical Theory and Computation, Vol. 17, No. 6, 2021, ISSN 1549-9618
Editore: American Chemical Society
DOI: 10.1021/acs.jctc.0c01312

Cortical propagation tracks functional recovery after stroke

Autori: Gloria Cecchini, Alessandro Scaglione, Anna Letizia Allegra Mascaro, Curzio Checcucci, Emilia Conti, Ihusan Adam, Duccio Fanelli, Roberto Livi, Francesco Saverio Pavone, Thomas Kreuz
Pubblicato in: PLOS Computational Biology, Vol. 17, No. 5, 2021, ISSN 1553-7358
Editore: Public Library of Science (PLoS)
DOI: 10.1371/journal.pcbi.1008963

HippoUnit: A software tool for the automated testing and systematic comparison of detailed models of hippocampal neurons based on electrophysiological data

Autori: Sára Sáray, Christian A. Rössert, Shailesh Appukuttan, Rosanna Migliore, Paola Vitale, Carmen A. Lupascu, Luca L. Bologna, Werner Van Geit, Armando Romani, Andrew P. Davison, Eilif Muller, Tamás F. Freund, Szabolcs Káli
Pubblicato in: PLOS Computational Biology, Vol. 17, No. 1, 2021, ISSN 1553-7358
Editore: Public Library of Science (PLoS)
DOI: 10.1371/journal.pcbi.1008114

Combining hypothesis- and data-driven neuroscience modeling in FAIR workflows

Autori: Olivia Eriksson, Upinder Singh Bhalla, Kim T Blackwell, Sharon M Crook, Daniel Keller, Andrei Kramer, Marja-Leena Linne, Ausra Saudargienė, Rebecca C Wade, Jeanette Hellgren Kotaleski
Pubblicato in: eLife, Vol. 11, 2022, ISSN 2050-084X
Editore: eLife Sciences Publications
DOI: 10.7554/elife.69013

Comprehensive verbal fluency features predict executive function performance

Autori: Julia Amunts, Julia A. Camilleri, Simon B. Eickhoff, Kaustubh R. Patil, Stefan Heim, Georg G. von Polier, Susanne Weis
Pubblicato in: Scientific Reports, Vol. 11, No. 1, 2021, ISSN 2045-2322
Editore: Nature Publishing Group
DOI: 10.1038/s41598-021-85981-1

Extremely fast pRF mapping for real-time applications

Autori: Salil Bhat, Michael Lührs, Rainer Goebel, Mario Senden
Pubblicato in: NeuroImage, Vol. 245, 2021, ISSN 1053-8119
Editore: Academic Press
DOI: 10.1016/j.neuroimage.2021.118671

The Neurorobotics Platform Robot Designer: Modeling Morphologies for Embodied Learning Experiments

Autori: Benedikt Feldotto, Fabrice O. Morin, Alois Knoll
Pubblicato in: Frontiers in Neurorobotics, Vol. 16, 2022, ISSN 1662-5218
Editore: Frontiers Research Foundation
DOI: 10.3389/fnbot.2022.856727

Scattered Light Imaging: Resolving the substructure of nerve fiber crossings in whole brain sections with micrometer resolution

Autori: Miriam Menzel, Jan André Reuter, David Gräßel, Mike Huwer, Philipp Schlömer, Katrin Amunts, Markus Axer
Pubblicato in: NeuroImage, Vol. 233, 2021, ISSN 1053-8119
Editore: Academic Press
DOI: 10.1016/j.neuroimage.2021.117952

Complex Robotic Manipulation via Graph-Based Hindsight Goal Generation

Autori: Zhenshan Bing, Matthias Brucker, Fabrice O. Morin, Rui Li, Xiaojie Su, Kai Huang, Alois Knoll
Pubblicato in: IEEE Transactions on Neural Networks and Learning Systems, 2021, ISSN 2162-237X
Editore: IEEE Computational Intelligence Society
DOI: 10.1109/tnnls.2021.3088947

Organization of the Macaque Monkey Inferior Parietal Lobule Based on Multimodal Receptor Architectonics

Autori: Meiqi Niu, Lucija Rapan, Thomas Funck, Seán Froudist-Walsh, Ling Zhao, Karl Zilles, Nicola Palomero-Gallagher
Pubblicato in: NeuroImage, 2021, ISSN 1053-8119
Editore: Academic Press
DOI: 10.1016/j.neuroimage.2021.117843

Neural Responsivity to Reward Versus Punishment Shortly After Trauma Predicts Long-Term Development of Posttraumatic Stress Symptoms

Autori: Ziv Ben-Zion, Ofir Shany, Roee Admon, Nimrod Jackob Keynan, Netanell Avisdris, Shira Reznik Balter, Arieh Y. Shalev, Israel Liberzon, Talma Hendler
Pubblicato in: Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, Vol. 7, No. 2, 2022, ISSN 2451-9022
Editore: Elsevier BV
DOI: 10.1016/j.bpsc.2021.09.001

The Evolution-Driven Signature of Parkinson’s Disease

Autori: Nico J. Diederich, Toshiki Uchihara, Sten Grillner, Christopher G. Goetz
Pubblicato in: Trends in Neurosciences, Vol. 43, No. 7, 2020, ISSN 0166-2236
Editore: Elsevier BV
DOI: 10.1016/j.tins.2020.05.001

Estimating the Minimal Number of Repeated Examinations for Random Responsiveness With the Coma Recovery Scale—Revised as an Example

Autori: Hao Yang, Chengyin Ye, Xiaochen Liu, Lingxiu Sun, Anqi Wang, Jing Wang, Nantu Hu, Xiaohua Hu, Olivia Gosseries, Steven Laureys, Haibo Di, Jiqian Fang
Pubblicato in: Frontiers in Integrative Neuroscience, Vol. 15, 2021, ISSN 1662-5145
Editore: Frontiers Research Foundation
DOI: 10.3389/fnint.2021.685627

BigBrain 3D atlas of cortical layers: Cortical and laminar thickness gradients diverge in sensory and motor cortices

Autori: Konrad Wagstyl, Stéphanie Larocque, Guillem Cucurull, Claude Lepage, Joseph Paul Cohen, Sebastian Bludau, Nicola Palomero-Gallagher, Lindsay B. Lewis, Thomas Funck, Hannah Spitzer, Timo Dickscheid, Paul C. Fletcher, Adriana Romero, Karl Zilles, Katrin Amunts, Yoshua Bengio, Alan C. Evans
Pubblicato in: PLOS Biology, Numero 18/4, 2020, Pagina/e e3000678, ISSN 1545-7885
Editore: Public Library of Science (PLoS)
DOI: 10.1371/journal.pbio.3000678

Exploring Test-Retest Reliability and Longitudinal Stability of Digital Biomarkers for Parkinson Disease in the m-Power Data Set: Cohort Study

Autori: Mehran Sahandi Far, Simon B Eickhoff, Maria Goni, Juergen Dukart
Pubblicato in: Journal of Medical Internet Research, Vol. 23, No. 9, 2021, ISSN 1438-8871
Editore: Journal of medical Internet Research
DOI: 10.2196/26608

How Active Inference Could Help Revolutionise Robotics

Autori: Lancelot Da Costa, Pablo Lanillos, Noor Sajid, Karl Friston, Shujhat Khan
Pubblicato in: Entropy, Vol. 24, No. 3, 2022, ISSN 1099-4300
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/e24030361

Moral decisions in the age of COVID-19: Your choices really matter

Autori: Francesco Donnarumma, Giovanni Pezzulo
Pubblicato in: Social Sciences & Humanities Open, Vol. 4, No. 1, 2021, ISSN 2590-2911
Editore: Elsevier BV
DOI: 10.1016/j.ssaho.2021.100149

Optimization of Efficient Neuron Models With Realistic Firing Dynamics. The Case of the Cerebellar Granule Cell

Autori: Milagros Marín, María José Sáez-Lara, Eduardo Ros, Jesús A. Garrido
Pubblicato in: Frontiers in Cellular Neuroscience, Vol. 14, 2020, ISSN 1662-5102
Editore: Frontiers Research Foundation
DOI: 10.3389/fncel.2020.00161

Personality traits and pattern of beliefs of near-death(-like) experiencers

Autori: Aminata Bicego, Héléna Cassol, Jessica Simon, Pauline Fritz, Simona Abagnale, Audrey Vanhaudenhuyse, Steven Laureys, Charlotte Martial
Pubblicato in: Frontiers in Human Neuroscience, Vol. 17, 2023, ISSN 1662-5161
Editore: Frontiers Research Foundation
DOI: 10.3389/fnhum.2023.1124739

Sequence learning, prediction, and replay in networks of spiking neurons

Autori: Younes Bouhadjar, Dirk J. Wouters, Markus Diesmann, Tom Tetzlaff
Pubblicato in: PLOS Computational Biology, Vol. 18, No. 6, 2022, ISSN 1553-7358
Editore: Public Library of Science (PLoS)
DOI: 10.1371/journal.pcbi.1010233

Biophysically detailed forward modeling of the neural origin of EEG and MEG signals

Autori: Solveig Næss, Geir Halnes, Espen Hagen, Donald J. Hagler, Anders M. Dale, Gaute T. Einevoll, Torbjørn V. Ness
Pubblicato in: NeuroImage, Numero 225, 2021, Pagina/e 117467, ISSN 1053-8119
Editore: Academic Press
DOI: 10.1016/j.neuroimage.2020.117467

The Bayesian Virtual Epileptic Patient: A probabilistic framework designed to infer the spatial map of epileptogenicity in a personalized large-scale brain model of epilepsy spread

Autori: M. Hashemi, A.N. Vattikonda, V. Sip, M. Guye, F. Bartolomei, M.M. Woodman, V.K. Jirsa
Pubblicato in: NeuroImage, Vol. 217, 2020, ISSN 1053-8119
Editore: Academic Press
DOI: 10.1016/j.neuroimage.2020.116839

Clinical and advanced neurophysiology in the prognostic and diagnostic evaluation of disorders of consciousness: review of an IFCN-endorsed expert group

Autori: A. Comanducci, M. Boly, J. Claassen, M. De Lucia, R.M. Gibson, E. Juan, S. Laureys, L. Naccache, A.M. Owen, M. Rosanova, A.O. Rossetti, C. Schnakers, J.D. Sitt, N.D. Schiff, M. Massimini
Pubblicato in: Clinical Neurophysiology, Vol. 131, No. 11, 2020, ISSN 1388-2457
Editore: Elsevier BV
DOI: 10.1016/j.clinph.2020.07.015

The many dimensions of human hippocampal organization and (dys)function

Autori: Sarah Genon, Boris C. Bernhardt, Renaud La Joie, Katrin Amunts, Simon B. Eickhoff
Pubblicato in: Trends in Neurosciences, Vol. 44, No. 12, 2021, ISSN 0166-2236
Editore: Elsevier BV
DOI: 10.1016/j.tins.2021.10.003

Delineating visual, auditory and motor regions in the human brain with functional neuroimaging: a BrainMap-based meta-analytic synthesis

Autori: Marisa K. Heckner, Edna C. Cieslik, Vincent Küppers, Peter T. Fox, Simon B. Eickhoff, Robert Langner
Pubblicato in: Scientific Reports, Vol. 11, No. 1, 2021, ISSN 2045-2322
Editore: Nature Publishing Group
DOI: 10.1038/s41598-021-88773-9

Event-Based Update of Synapses in Voltage-Based Learning Rules

Autori: Jonas Stapmanns, Jan Hahne, Moritz Helias, Matthias Bolten, Markus Diesmann, David Dahmen
Pubblicato in: Frontiers in Neuroinformatics, Vol. 15, 2021, ISSN 1662-5196
Editore: Frontiers Research Foundation
DOI: 10.3389/fninf.2021.609147

Subcortical atrophy correlates with the perturbational complexity index in patients with disorders of consciousness

Autori: Evan S. Lutkenhoff, Micah A. Johnson, Silvia Casarotto, Marcello Massimini, Martin M. Monti
Pubblicato in: Brain Stimulation, Numero 13/5, 2020, Pagina/e 1426-1435, ISSN 1935-861X
Editore: Elsevier BV
DOI: 10.1016/j.brs.2020.07.012

Brain topography beyond parcellations: local gradients of functional maps

Autori: Elvis Dohmatob, Hugo Richard, Ana Luísa Pinho, Bertrand Thirion
Pubblicato in: NeuroImage, 2021, ISSN 1053-8119
Editore: Academic Press
DOI: 10.1016/j.neuroimage.2020.117706

Cytoarchitecture, probability maps and segregation of the human insula

Autori: Julian Quabs, Svenja Caspers, Claudia Schöne, Hartmut Mohlberg, Sebastian Bludau, Timo Dickscheid, Katrin Amunts
Pubblicato in: NeuroImage, Vol. 260, 2022, ISSN 1053-8119
Editore: Academic Press
DOI: 10.1016/j.neuroimage.2022.119453

Modulation of cortical slow oscillations and complexity across anesthesia levels

Autori: Miguel Dasilva, Alessandra Camassa, Alvaro Navarro-Guzman, Antonio Pazienti, Lorena Perez-Mendez, Gorka Zamora-López, Maurizio Mattia, Maria V. Sanchez-Vives
Pubblicato in: NeuroImage, Numero 224, 2021, Pagina/e 117415, ISSN 1053-8119
Editore: Academic Press
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From Coarse to Fine-Grained Parcellation of the Cortical Surface Using a Fiber-Bundle Atlas

Autori: Narciso López-López, Andrea Vázquez, Josselin Houenou, Cyril Poupon, Jean-François Mangin, Susana Ladra, Pamela Guevara
Pubblicato in: Frontiers in Neuroinformatics, Numero 14, 2020, ISSN 1662-5196
Editore: Frontiers Research Foundation
DOI: 10.3389/fninf.2020.00032

Shape variability of the central sulcus in the developing brain: a longitudinal descriptive and predictive study in preterm infants.

Autori: H de Vareilles, D Rivière, Z Sun, C Fischer, F Leroy, S Neumane, N Stopar, R Eijsermans, M Ballu, ML Tataranno, MJNL Benders, JF Mangin, J Dubois
Pubblicato in: NeuroImage, 2021, ISSN 1053-8119
Editore: Academic Press
DOI: 10.1016/j.neuroimage.2021.118837

Reclaiming saliency: Rhythmic precision-modulated action and perception

Autori: Ajith Anil Meera, Filip Novicky, Thomas Parr, Karl Friston, Pablo Lanillos, Noor Sajid
Pubblicato in: Frontiers in Neurorobotics, Vol. 16, 2022, ISSN 1662-5218
Editore: Frontiers Research Foundation
DOI: 10.3389/fnbot.2022.896229

Automated computation of nerve fibre inclinations from 3D polarised light imaging measurements of brain tissue

Autori: Miriam Menzel, Jan A. Reuter, David Gräßel, Irene Costantini, Katrin Amunts, Markus Axer
Pubblicato in: Scientific Reports, Vol. 12, No. 1, 2022, ISSN 2045-2322
Editore: Nature Publishing Group
DOI: 10.1038/s41598-022-08140-0

Modulation of cortical slow oscillatory rhythm by GABA B receptors: an in vitro experimental and computational study

Autori: Maria Perez‐Zabalza, Ramon Reig, Jesus Manrique, Daniel Jercog, Milena Winograd, Nestor Parga, Maria V. Sanchez‐Vives
Pubblicato in: The Journal of Physiology, Numero 598/16, 2020, Pagina/e 3439-3457, ISSN 0022-3751
Editore: Blackwell Publishing Inc.
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Identifying spatio-temporal seizure propagation patterns in epilepsy using Bayesian inference

Autori: Anirudh N. Vattikonda, Meysam Hashemi, Viktor Sip, Marmaduke M. Woodman, Fabrice Bartolomei, Viktor K. Jirsa
Pubblicato in: Communications Biology, Vol. 4, No. 1, 2021, ISSN 2399-3642
Editore: Nature Research
DOI: 10.1038/s42003-021-02751-5

Parameter tuning differentiates granule cell subtypes enriching transmission properties at the cerebellum input stage

Autori: Stefano Masoli, Marialuisa Tognolina, Umberto Laforenza, Francesco Moccia, Egidio D’Angelo
Pubblicato in: Communications Biology, Numero 3/1, 2020, ISSN 2399-3642
Editore: Springer Science and Business Media LLC
DOI: 10.1038/s42003-020-0953-x

Architecture and connectivity of the human angular gyrus and of its homolog region in the macaque brain

Autori: Meiqi Niu, Nicola Palomero-Gallagher
Pubblicato in: Brain Structure and Function, 2022, ISSN 1863-2653
Editore: Springer Verlag
DOI: 10.1007/s00429-022-02509-7

Model simulations unveil the structure-function-dynamics relationship of the cerebellar cortical microcircuit

Autori: Robin De Schepper, Alice Geminiani, Stefano Masoli, Martina Francesca Rizza, Alberto Antonietti, Claudia Casellato, Egidio D’Angelo
Pubblicato in: Communications Biology, Vol. 5, No. 1, 2022, ISSN 2399-3642
Editore: Nature Research
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Non-synaptic interactions between olfactory receptor neurons, a possible key feature of odor processing in flies

Autori: Mario Pannunzi, Thomas Nowotny
Pubblicato in: PLOS Computational Biology, Vol. 17, No. 12, 2021, ISSN 1553-7358
Editore: Public Library of Science (PLoS)
DOI: 10.1371/journal.pcbi.1009583

Changes in measures of consciousness during anaesthesia of one hemisphere (Wada test)

Autori: Sebastian Halder, Bjørn E Juel, André S Nilsen, Lashmi Venkat Raghavan, Johan F Storm
Pubblicato in: NeuroImage, Numero 226, 2021, Pagina/e 117566, ISSN 1053-8119
Editore: Academic Press
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Gell-Mann–Low Criticality in Neural Networks

Autori: Lorenzo Tiberi, Jonas Stapmanns, Tobias Kühn, Thomas Luu, David Dahmen, Moritz Helias
Pubblicato in: Physical Review Letters, Vol. 128, No. 16, 2022, ISSN 0031-9007
Editore: American Physical Society
DOI: 10.1103/physrevlett.128.168301

Waxholm Space atlas of the rat brain: a 3D atlas supporting data analysis and integration

Autori: Heidi Kleven, Ingvild E. Bjerke, Francisco Clascá, Henk J. Groenewegen, Jan G. Bjaalie, Trygve B. Leergaard
Pubblicato in: Nature methods, 2023, ISSN 1548-7091
Editore: Nature Publishing Group
DOI: 10.1038/s41592-023-02034-3

Modelling unitary fields and the single‐neuron contribution to local field potentials in the hippocampus

Autori: Maria Teleńczuk, Bartosz Teleńczuk, Alain Destexhe
Pubblicato in: The Journal of Physiology, Numero 598/18, 2020, Pagina/e 3957-3972, ISSN 0022-3751
Editore: Blackwell Publishing Inc.
DOI: 10.1113/jp279452

Recent progress in molecular simulation methods for drug binding kinetics

Autori: Ariane Nunes-Alves, Daria B Kokh, Rebecca C Wade
Pubblicato in: Current Opinion in Structural Biology, Numero 64, 2020, Pagina/e 126-133, ISSN 0959-440X
Editore: Elsevier BV
DOI: 10.1016/j.sbi.2020.06.022

Developing Capabilities for Responsible Research and Innovation (RRI)

Autori: Ogoh George, Simisola Akintoye, Damian Eke, Michele Farisco, Josepine Fernow, Karin Grasenick, Manuel Guerrero, Achim Rosemann, Arleen Salles, Inga Ulnicane
Pubblicato in: Journal of Responsible Technology, 2023, ISSN 2329-9460
Editore: Elsevier B.V
DOI: 10.1016/j.jrt.2023.100065

Entropy, free energy, symmetry and dynamics in the brain

Autori: Viktor Jirsa, Hiba Sheheitli
Pubblicato in: Journal of Physics: Complexity, Vol. 3, No. 1, 2022, ISSN 2632-072X
Editore: IOP Publishing
DOI: 10.1088/2632-072x/ac4bec

Metastable oscillatory modes emerge from synchronization in the brain spacetime connectome

Autori: Joana Cabral, Francesca Castaldo, Jakub Vohryzek, Vladimir Litvak, Christian Bick, Renaud Lambiotte, Karl Friston, Morten L. Kringelbach, Gustavo Deco
Pubblicato in: Communications Physics, Vol. 5, No. 1, 2022, ISSN 2399-3650
Editore: Nature Research
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Subject‐specific segregation of functional territories based on deep phenotyping

Autori: Ana Luísa Pinho, Alexis Amadon, Murielle Fabre, Elvis Dohmatob, Isabelle Denghien, Juan Jesús Torre, Chantal Ginisty, Séverine Becuwe‐Desmidt, Séverine Roger, Laurence Laurier, Véronique Joly‐Testault, Gaëlle Médiouni‐Cloarec, Christine Doublé, Bernadette Martins, Philippe Pinel, Evelyn Eger, Gaël Varoquaux, Christophe Pallier, Stanislas Dehaene, Lucie Hertz‐Pannier, Bertrand Thir
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Frequency- and State-Dependent Network Effects of Electrical Stimulation Targeting the Ventral Tegmental Area in Macaques

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The rt-TEP tool: real-time visualization of TMS-Evoked Potentials to maximize cortical activation and minimize artifacts

Autori: Silvia Casarotto, Matteo Fecchio, Mario Rosanova, Giuseppe Varone, Sasha D’Ambrosio, Simone Sarasso, Andrea Pigorini, Simone Russo, Angela Comanducci, Risto J. Ilmoniemi, Marcello Massimini
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Executive functions predict verbal fluency scores in healthy participants

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Soft-Grasping With an Anthropomorphic Robotic Hand Using Spiking Neurons

Autori: J. Camilo Vasquez Tieck, Katharina Secker, Jacques Kaiser, Arne Roennau, Rudiger Dillmann
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Heritability and cross-species comparisons of human cortical functional organization asymmetry

Autori: Bin Wan, Şeyma Bayrak, Ting Xu, H Lina Schaare, Richard AI Bethlehem, Boris C Bernhardt, Sofie L Valk
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Whole‐brain analyses indicate the impairment of posterior integration and thalamo‐frontotemporal broadcasting in disorders of consciousness

Autori: Rajanikant Panda, Ane López‐González, Matthieu Gilson, Olivia Gosseries, Aurore Thibaut, Gianluca Frasso, Benedetta Cecconi, Anira Escrichs, Gustavo Deco, Steven Laureys, Gorka Zamora‐López, Jitka Annen, Coma Science Group Collaborators
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1024-channel electrophysiological recordings in macaque V1 and V4 during resting state

Autori: Xing Chen, Aitor Morales-Gregorio, Julia Sprenger, Alexander Kleinjohann, Shashwat Sridhar, Sacha J. van Albada, Sonja Grün, Pieter R. Roelfsema
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Origin and dynamics of cortical slow oscillations

Autori: Maria V Sanchez-Vives
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Frameworks Enabling Ubiquitous Mixed Reality Applications Across Dynamically Adaptable Device Configurations

Autori: Sandro Weber, Linda Rudolph, Sven Liedtke, Christian Eichhorn, Daniel Dyrda, David A. Plecher, Gudrun Klinker
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BitBrain and Sparse Binary Coincidence (SBC) memories: Fast, robust learning and inference for neuromorphic architectures

Autori: Michael Hopkins, Jakub Fil, Edward George Jones, Steve Furber
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Neuronal population dynamics during motor plan cancellation in nonhuman primates

Autori: Pierpaolo Pani, Margherita Giamundo, Franco Giarrocco, Valentina Mione, Roberto Fontana, Emiliano Brunamonti, Maurizio Mattia, Stefano Ferraina
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TAAC - TMS Adaptable Auditory Control: A universal tool to mask TMS clicks

Autori: S. Russo, S. Sarasso, G.E. Puglisi, D. Dal Palù, A. Pigorini, S. Casarotto, S. D’Ambrosio, A. Astolfi, M. Massimini, M. Rosanova, M. Fecchio
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M-current modulation of cortical slow oscillations: Network dynamics and computational modeling

Autori: Leonardo Dalla Porta, Almudena Barbero-Castillo, Jose Manuel Sanchez-Sanchez, Maria V. Sanchez-Vives
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Spike-based coupling between single neurons and populations across rat sensory cortices, perirhinal cortex, and hippocampus

Autori: Reinder Dorman, Jeroen J. Bos, Martin A. Vinck, Pietro Marchesi, Julien Fiorilli, Jeanette A.M. Lorteije, Ingrid Reiten, Jan G. Bjaalie, Michael Okun, Cyriel M.A. Pennartz
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An explainable artificial intelligence approach to spatial navigation based on hippocampal circuitry

Autori: Simone Coppolino, Michele Migliore
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RateML: A Code Generation Tool for Brain Network Models

Autori: Michiel van der Vlag, Marmaduke Woodman, Jan Fousek, Sandra Diaz-Pier, Aarón Pérez Martín, Viktor Jirsa, Abigail Morrison
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The covariance perceptron: A new paradigm for classification and processing of time series in recurrent neuronal networks

Autori: Matthieu Gilson, David Dahmen, Rubén Moreno-Bote, Andrea Insabato, Moritz Helias
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Editorial: From Structure to Function in Neuronal Networks: Effects of Adaptation, Time-Delays, and Noise

Autori: Joana Cabral, Viktor Jirsa, Oleksandr V. Popovych, Alessandro Torcini, Serhiy Yanchuk
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Experimentation, learning, and dialogue: an RRI-inspired approach to dual-use of concern

Autori: Inga Ulnicane, Tara Mahfoud, Arleen Salles
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Learning how network structure shapes decision-making for bio-inspired computing

Autori: Michael Schirner, Gustavo Deco, Petra Ritter
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Learning cortical representations through perturbed and adversarial dreaming

Autori: Nicolas Deperrois, Mihai A Petrovici, Walter Senn, Jakob Jordan
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Routing brain traffic through the von Neumann bottleneck: Efficient cache usage in spiking neural network simulation code on general purpose computers

Autori: J. Pronold, J. Jordan, B.J.N. Wylie, I. Kitayama, M. Diesmann, S. Kunkel
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Reconciling the object and spatial processing views of the perirhinal cortex through task‐relevant unitization

Autori: Julien Fiorilli, Jeroen J. Bos, Xenia Grande, Judith Lim, Emrah Düzel, Cyriel M. A. Pennartz
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Scatterometry Measurements With Scattered Light Imaging Enable New Insights Into the Nerve Fiber Architecture of the Brain

Autori: Miriam Menzel, Marouan Ritzkowski, Jan A. Reuter, David Gräßel, Katrin Amunts, Markus Axer
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Unimanual sensorimotor learning—A simultaneous EEG‐fMRI aging study

Autori: Sabrina Chettouf, Paul Triebkorn, Andreas Daffertshofer, Petra Ritter
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Method for quantifying arousal and consciousness in healthy states and severe brain injury via EEG-based measures of corticothalamic physiology

Autori: S. Assadzadeh, J. Annen, L. Sanz, A. Barra, E. Bonin, A. Thibaut, M. Boly, S. Laureys, O. Gosseries, P.A. Robinson
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Exploring the social, ethical, legal, and responsibility dimensions of artificial intelligence for health – a new column in Intelligent Medicine

Autori: Achim Rosemann, Xinqing Zhang
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Event driven bio-inspired attentive system for the iCub humanoid robot on SpiNNaker

Autori: Giulia D’Angelo, Adam Perrett, Massimiliano Iacono, Steve Furber, Chiara Bartolozzi
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Hippocampal place cells encode global location but not connectivity in a complex space

Autori: Éléonore Duvelle, Roddy M. Grieves, Anyi Liu, Selim Jedidi-Ayoub, Joanna Holeniewska, Adam Harris, Nils Nyberg, Francesco Donnarumma, Julie M. Lefort, Kate J. Jeffery, Christopher Summerfield, Giovanni Pezzulo, Hugo J. Spiers
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Cellular-resolution mapping uncovers spatial adaptive filtering at the rat cerebellum input stage

Autori: Stefano Casali, Marialuisa Tognolina, Daniela Gandolfi, Jonathan Mapelli, Egidio D’Angelo
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Signature of consciousness in brain-wide synchronization patterns of monkey and human fMRI signals

Autori: Gerald Hahn, Gorka Zamora-López, Lynn Uhrig, Enzo Tagliazucchi, Helmut Laufs, Dante Mantini, Morten L Kringelbach, Bechir Jarraya, Gustavo Deco
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Database of literature derived cellular measurements from the murine basal ganglia

Autori: Ingvild E. Bjerke, Maja A. Puchades, Jan G. Bjaalie, Trygve B. Leergaard
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Accurate online training of dynamical spiking neural networks through Forward Propagation Through Time

Autori: Bojian Yin, Federico Corradi, Sander M. Bohté
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Geosmin suppresses defensive behaviour and elicits unusual neural responses in honey bees

Autori: Florencia Scarano, Mukilan Deivarajan Suresh, Ettore Tiraboschi, Amélie Cabirol, Morgane Nouvian, Thomas Nowotny, Albrecht Haase
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Anatomy of nerve fiber bundles at micrometer-resolution in the vervet monkey visual system

Autori: Hiromasa Takemura, Nicola Palomero-Gallagher, Markus Axer, David Gräßel, Matthew J Jorgensen, Roger Woods, Karl Zilles
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Humans account for cognitive costs when finding shortcuts: An information-theoretic analysis of navigation

Autori: Gian Luca Lancia, Mattia Eluchans, Marco D’Alessandro, Hugo J. Spiers, Giovanni Pezzulo
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Conductance-based Adaptive Exponential integrate-and-fire model

Autori: Damien Depannemaecker, Tomasz Górski, Alain Destexhe
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Auditory localization should be considered as a sign of minimally conscious state based on multimodal findings

Autori: Manon Carrière, Helena Cassol, Charlène Aubinet, Rajanikant Panda, Aurore Thibaut, Stephen K Larroque, Jessica Simon, Charlotte Martial, Mohamed A Bahri, Camille Chatelle, Géraldine Martens, Srivas Chennu, Steven Laureys, Olivia Gosseries
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Of Ethical Frameworks and Neuroethics in Big Neuroscience Projects: A View from the HBP

Autori: Arleen Salles, Michele Farisco
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EEG Lempel-Ziv complexity varies with sleep stage, but does not seem to track dream experience

Autori: Arnfinn Aamodt, André Sevenius Nilsen, Rune Markhus, Anikó Kusztor, Fatemeh HasanzadehMoghadam, Nils Kauppi, Benjamin Thürer, Johan Frederik Storm, Bjørn Erik Juel
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Data-driven method to infer the seizure propagation patterns in an epileptic brain from intracranial electroencephalography

Autori: Viktor Sip, Meysam Hashemi, Anirudh N. Vattikonda, Marmaduke M. Woodman, Huifang Wang, Julia Scholly, Samuel Medina Villalon, Maxime Guye, Fabrice Bartolomei, Viktor K. Jirsa
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Naturalizing psychopathology—towards a quantitative real-world psychiatry

Autori: Juha M. Lahnakoski, Simon B. Eickhoff, Juergen Dukart, Leonhard Schilbach
Pubblicato in: Molecular Psychiatry, 2021, ISSN 1359-4184
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DOPAMAP, high-resolution images of dopamine 1 and 2 receptor expression in developing and adult mouse brains

Autori: I. E. Bjerke, E. R. Cullity, K. Kjelsberg, K. M. Charan, T. B. Leergaard, J. H. Kim
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SynCoPa: Visualizing Connectivity Paths and Synapses Over Detailed Morphologies

Autori: Sergio E. Galindo, Pablo Toharia, Oscar David Robles Sanchez, Luis Pastor
Pubblicato in: Frontiers in Neuroinformatics, 2021, ISSN 1662-5196
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Attention for action in visual working memory

Autori: Christian N.L. Olivers, Pieter R. Roelfsema
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Decoding Natural Sounds in Early “Visual” Cortex of Congenitally Blind Individuals

Autori: Petra Vetter, Łukasz Bola, Lior Reich, Matthew Bennett, Lars Muckli, Amir Amedi
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About the compatibility between the perturbational complexity index and the global neuronal workspace theory of consciousness

Autori: Michele Farisco, Jean-Pierre Changeux
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Linking interindividual variability in brain structure to behaviour

Autori: Sarah Genon, Simon B. Eickhoff, Shahrzad Kharabian
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Burst control: Synaptic conditions for burst generation in cortical layer 5 pyramidal neurons

Autori: Eilam Goldenberg Leleo, Idan Segev
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Cerebral electrometabolic coupling in disordered and normal states of consciousness

Autori: Jitka Annen, Gianluca Frasso, Glenn J.M. van der Lande, Estelle A.C. Bonin, Marie M. Vitello, Rajanikant Panda, Arianna Sala, Carlo Cavaliere, Federico Raimondo, Mohamed Ali Bahri, Nicholas D. Schiff, Olivia Gosseries, Aurore Thibaut, Steven Laureys
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Slow waves form expanding, memory-rich mesostates steered by local excitability in fading anesthesia

Autori: Antonio Pazienti, Andrea Galluzzi, Miguel Dasilva, Maria V. Sanchez-Vives, Maurizio Mattia
Pubblicato in: iScience, Vol. 25, No. 3, 2022, ISSN 2589-0042
Editore: Cell press
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Functional parcellation of human and macaque striatum reveals human-specific connectivity in the dorsal caudate

Autori: Xiaojin Liu, Simon B. Eickhoff, Svenja Caspers, Jianxiao Wu, Sarah Genon, Felix Hoffstaedter, Rogier B. Mars, Iris E. Sommer, Claudia R. Eickhoff, Ji Chen, Renaud Jardri, Kathrin Reetz, Imis Dogan, André Aleman, Lydia Kogler, Oliver Gruber, Julian Caspers, Christian Mathys, Kaustubh R. Patil
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The effects of the general anesthetic sevoflurane on neurotransmission: an experimental and computational study

Autori: Jonathan Mapelli, Daniela Gandolfi, Enrico Giuliani, Stefano Casali, Luigi Congi, Alberto Barbieri, Egidio D’Angelo, Albertino Bigiani
Pubblicato in: Scientific Reports, Numero 11/1, 2021, ISSN 2045-2322
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Resting-state networks in the course of aging—differential insights from studies across the lifespan vs. amongst the old

Autori: C. Jockwitz, S. Caspers
Pubblicato in: Pflügers Archiv - European Journal of Physiology, 2021, ISSN 0031-6768
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SpecSeg is a versatile toolbox that segments neurons and neurites in chronic calcium imaging datasets based on low-frequency cross-spectral power

Autori: Leander de Kraker, Koen Seignette, Premnath Thamizharasu, Bastijn J.G. van den Boom, Ildefonso Ferreira Pica, Ingo Willuhn, Christiaan N. Levelt, Chris van der Togt
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Sharpness recognition based on synergy between bio-inspired nociceptors and tactile mechanoreceptors

Autori: Adel Parvizi-Fard, Nima Salimi-Nezhad, Mahmood Amiri, Egidio Falotico, Cecilia Laschi
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Toward Cognitive Navigation: Design and Implementation of a Biologically Inspired Head Direction Cell Network

Autori: Zhenshan Bing, Amir EI Sewisy, Genghang Zhuang, Florian Walter, Fabrice O. Morin, Kai Huang, Alois Knoll
Pubblicato in: IEEE Transactions on Neural Networks and Learning Systems, 2021, ISSN 2162-237X
Editore: IEEE Computational Intelligence Society
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Demonstrating Analog Inference on the BrainScaleS-2 Mobile System

Autori: Yannik Stradmann, Sebastian Billaudelle, Oliver Breitwieser, Falk Leonard Ebert, Arne Emmel, Dan Husmann, Joscha Ilmberger, Eric Muller, Philipp Spilger, Johannes Weis, Johannes Schemmel
Pubblicato in: IEEE Open Journal of Circuits and Systems, 2022, ISSN 2644-1225
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Focal lesions induce large-scale percolation of sleep-like intracerebral activity in awake humans

Autori: S. Russo, A. Pigorini, E. Mikulan, S. Sarasso, A. Rubino, F.M. Zauli, S. Parmigiani, P. d'Orio, A. Cattani, S. Francione, L. Tassi, C.L.A. Bassetti, G. Lo Russo, L. Nobili, I. Sartori, M. Massimini
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A Deep Learning-Based Workflow for Dendritic Spine Segmentation

Autori: Isabel Vidaurre-Gallart, Isabel Fernaud-Espinosa, Nicusor Cosmin-Toader, Lidia Talavera-Martínez, Miguel Martin-Abadal, Ruth Benavides-Piccione, Yolanda Gonzalez-Cid, Luis Pastor, Javier DeFelipe, Marcos García-Lorenzo
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Pseudonymisation of neuroimages and data protection: Increasing access to data while retaining scientific utility

Autori: Damian Eke, Ida E.J. Aasebø, Simisola Akintoye, William Knight, Alexandros Karakasidis, Ezequiel Mikulan, Paschal Ochang, George Ogoh, Robert Oostenveld, Andrea Pigorini, Bernd Carsten Stahl, Tonya White, Lyuba Zehl
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A Unified Framework for Neuroscience Morphological Data Visualization

Autori: Luis Pastor, Sofia Bayona, Juan P. Brito, María Cuevas, Isabel Fernaud, Sergio Emilio Galindo, Juan José García-Cantero, Francisco González de Quevedo, Susana Mata, Oscar David Robles, Angel Rodríguez, Pablo Toharia, Ana Zdravkovic
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The natural axis of transmitter receptor distribution in the human cerebral cortex

Autori: Alexandros Goulas, Jean-Pierre Changeux, Konrad Wagstyl, Katrin Amunts, Nicola Palomero-Gallagher, Claus C. Hilgetag
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Bridging the gap between single receptor type activity and whole‐brain dynamics

Autori: Dirk Jancke, Stefan Herlitze, Morten L. Kringelbach, Gustavo Deco
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What lies underneath: Precise classification of brain states using time-dependent topological structure of dynamics

Autori: Fernando Soler-Toscano, Javier A. Galadí, Anira Escrichs, Yonatan Sanz Perl, Ane López-González, Jacobo D. Sitt, Jitka Annen, Olivia Gosseries, Aurore Thibaut, Rajanikant Panda, Francisco J. Esteban, Steven Laureys, Morten L. Kringelbach, José A. Langa, Gustavo Deco
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A Spiking Neural Network Model of Rodent Head Direction Calibrated With Landmark Free Learning

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Proceedings of the Second Curing Coma Campaign NIH Symposium: Challenging the Future of Research for Coma and Disorders of Consciousness

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Scaffolding layered control architectures through constraint closure: insights into brain evolution and development

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A unified physiological framework of transitions between seizures, sustained ictal activity and depolarization block at the single neuron level

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Efficient Low-Pass Dendro-Somatic Coupling in the Apical Dendrite of Layer 5 Pyramidal Neurons in the Anterior Cingulate Cortex

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An Adaptive Generalized Leaky Integrate-and-Fire Model for Hippocampal CA1 Pyramidal Neurons and Interneurons

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How hot is the hot zone? Computational modelling clarifies the role of parietal and frontoparietal connectivity during anaesthetic-induced loss of consciousness

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Whole-brain propagation delays in multiple sclerosis, a combined tractography - magnetoencephalography study

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A neuroscientist’s guide to using murine brain atlases for efficient analysis and transparent reporting

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ConGen—A Simulator-Agnostic Visual Language for Definition and Generation of Connectivity in Large and Multiscale Neural Networks

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Time to consider animal data governance: perspectives from neuroscience

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Bayesian Integration in a Spiking Neural System for Sensorimotor Control

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Brain Motor Network Changes in Parkinson's Disease: Evidence from Meta‐Analytic Modeling

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Blue Brain Nexus: An open, secure, scalable system for knowledge graph management and data-driven science

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Dual STDP processes at Purkinje cells contribute to distinct improvements in accuracy and speed of saccadic eye movements

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Research Data Management and Data Sharing for Reproducible Research—Results of a Community Survey of the German National Research Data Infrastructure Initiative Neuroscience

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Graphene BioFET sensors for SARS-CoV-2 detection: a multiscale simulation approach

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Modeling seizures: From single neurons to networks

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In search of convergent regional brain abnormality in cognitive emotion regulation: A transdiagnostic neuroimaging meta‐analysis

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Systematic Review and Meta-analysis: Resting-State Functional Magnetic Resonance Imaging Studies of Attention-Deficit/Hyperactivity Disorder

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Transcutaneous vagal nerve stimulation to treat disorders of consciousness: Protocol for a double-blind randomized controlled trial

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Age-Related Changes of Peak Width Skeletonized Mean Diffusivity (PSMD) Across the Adult Lifespan: A Multi-Cohort Study

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Mouse visual cortex contains a region of enhanced spatial resolution

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Cerebellar Golgi cell models predict dendritic processing and mechanisms of synaptic plasticity

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Towards cognitive navigation: A biologically inspired calibration mechanism for the head direction cell network

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Event-based backpropagation can compute exact gradients for spiking neural networks

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Light- and Redox-Dependent Force Spectroscopy Reveals that the Interaction between Plastocyanin and Plant Photosystem I Is Favored when One Partner Is Ready for Electron Transfer

Autori: Zamora RA, López-Ortiz M, Sales-Mateo M, Hu C, Croce R, Maniyara RA, Pruneri V, Giannotti MI, Gorostiza P
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On the influence of prior information evaluated by fully Bayesian criteria in a personalized whole-brain model of epilepsy spread

Autori: Meysam Hashemi, Anirudh N. Vattikonda, Viktor Sip, Sandra Diaz-Pier, Alexander Peyser, Huifang Wang, Maxime Guye, Fabrice Bartolomei, Marmaduke M. Woodman, Viktor K. Jirsa
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Power and politics in framing bias in Artificial Intelligence policy

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Network Layer Analysis for a RL-Based Robotic Reaching Task

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Nicotinic receptors: From protein allostery to computational neuropharmacology

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Ligand Unbinding Mechanisms and Kinetics for T4 Lysozyme Mutants from τRAMD Simulations

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Linking Brain Structure, Activity, and Cognitive Function through Computation

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Simplified Evaluation of CONsciousness Disorders (SECONDs) in individuals with severe brain injury: a validation study

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High-Density EEG in a Charles Bonnet Syndrome Patient during and without Visual Hallucinations: A Case-Report Study

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3D Ultrastructural Study of Synapses in the Human Entorhinal Cortex

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A Model for Structured Information Representation in Neural Networks of the Brain

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La Recherche du Temps Perdu: Timing in Somatosensation. Commentary: Somatosensation in the Brain: A Theoretical Re-evaluation and a New Model

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Meta-analytical transdiagnostic neural correlates in common pediatric psychiatric disorders

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Evidence or Confidence: What Is Really Monitored during a Decision?

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Neural Correlates of Multisensory Detection Behavior: Comparison of Primary and Higher-Order Visual Cortex

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A comparative biology approach to DNN modeling of vision: A focus on differences, not similarities

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Genetic and phylogenetic uncoupling of structure and function in human transmodal cortex

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Additive Manufacturing of Subject‐Conformal Receive Coils for Magnetic Resonance Imaging

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Cross-ethnicity/race generalization failure of behavioral prediction from resting-state functional connectivity

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Stimulation of the ventral tegmental area induces visual cortical plasticity at the neuronal level

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The BrainScaleS-2 accelerated neuromorphic system with hybrid plasticity.

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Framing governance for a contested emerging technology:insights from AI policy

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Computational epidemiology study of homeostatic compensation during sensorimotor aging

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Editorial: Neuroscience, computing, performance, and benchmarks: Why it matters to neuroscience how fast we can compute

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A Quantitative Comparison of Inhibitory Interneuron Size and Distribution between Mouse and Macaque V1, Using Calcium-Binding Proteins

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Cortical oscillations support sampling-based computations in spiking neural networks

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Data‐driven integration of hippocampal CA1 synaptic physiology in silico

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Brain simulation augments machine‐learning–based classification of dementia

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STEPS 4.0: Fast and memory-efficient molecular simulations of neurons at the nanoscale

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The web of laughter: frontal and limbic projections of the anterior cingulate cortex revealed by cortico-cortical evoked potential from sites eliciting laughter

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Behavioral Training Related Neurotransmitter Receptor Expression Dynamics in the Nidopallium Caudolaterale and the Hippocampal Formation of Pigeons

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Ephaptic coupling in white matter fibre bundles modulates axonal transmission delays

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Good governance as a response to discontents? Déjà vu, or lessons for AI from other emerging technologies

Autori: Inga Ulnicane, Damian Okaibedi Eke, William Knight, George Ogoh, Bernd Carsten Stahl
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Submillimeter fMRI reveals an extensive, fine-grained and functionally-relevant scene-processing network in monkeys

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Automated High-Definition MRI Processing Routine Robustly Detects Longitudinal Morphometry Changes in Alzheimer’s Disease Patients

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Gradients of neurotransmitter receptor expression in the macaque cortex

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Spontaneous and Perturbational Complexity in Cortical Cultures

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A data-based large-scale model for primary visual cortex enables brain-like robust and versatile visual processing

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An empirical evaluation of functional alignment using inter-subject decoding

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Variation in Pyramidal Cell Morphology Across the Human Anterior Temporal Lobe

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Mean-field based framework for forward modeling of LFP and MEG signals

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NFDI-Neuro: building a community for neuroscience research data management in Germany

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Noise Enhancement of Neural Information Processing

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Neuronal Cascades Shape Whole-Brain Functional Dynamics at Rest

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Virtual deep brain stimulation: Multiscale co-simulation of a spiking basal ganglia model and a whole-brain mean-field model with The Virtual Brain

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Cortical Synchrony as a Mechanism of Collinear Facilitation and Suppression in Early Visual Cortex

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Simulations approaching data: cortical slow waves in inferred models of the whole hemisphere of mouse

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Reaching and Grasping Movements in Parkinson’s Disease: A Review

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Meta-Reinforcement Learning in Nonstationary and Nonparametric Environments

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Response-code conflict in dual-task interference and its modulation by age

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Editorial: The Embodied Brain: Computational Mechanisms of Integrated Sensorimotor Interactions With a Dynamic Environment

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Glutamate spillover drives robust all-or-none dendritic plateau potentials—an in silico investigation using models of striatal projection neurons

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Structure-function relationships of the disease-linked A218T oxytocin receptor variant

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Intrinsic Connectivity Patterns of Task-Defined Brain Networks Allow Individual Prediction of Cognitive Symptom Dimension of Schizophrenia and Are Linked to Molecular Architecture

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Auditory and Somatosensory P3 Are Complementary for the Assessment of Patients with Disorders of Consciousness

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Solving Robotic Manipulation with Sparse Reward Reinforcement Learning via Graph-Based Diversity and Proximity

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Computational modelling in disorders of consciousness: Closing the gap towards personalised models for restoring consciousness

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Latency shortening with enhanced sparseness and responsiveness in V1 during active visual sensing

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Relationships between neurotransmitter receptor densities and expression levels of their corresponding genes in the human hippocampus

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When your brain looks older than expected: combined lifestyle risk and BrainAGE

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Deep learning networks reflect cytoarchitectonic features used in brain mapping

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Dynamics of a Mutual Inhibition Circuit between Pyramidal Neurons Compared to Human Perceptual Competition

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Influence of Processing Pipeline on Cortical Thickness Measurement

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Sequence Learning in a Single Trial: A Spiking Neurons Model Based on Hippocampal Circuitry

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Dynamical Mechanisms of Interictal Resting-State Functional Connectivity in Epilepsy

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Electrical coupling regulated by GABAergic nucleo-olivary afferent fibres facilitates cerebellar sensory–motor adaptation

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A framework and resource for global collaboration in non-human primate neuroscience

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Capacity for consciousness under ketamine anaesthesia is selectively associated with activity in posteromedial cortex in rats

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Decoding rapidly presented visual stimuli from prefrontal ensembles without report nor post-perceptual processing

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Responsible innovation ecosystems: Ethical implications of the application of the ecosystem concept to artificial intelligence

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A comparative study of pre‐alpha islands in the entorhinal cortex from selected primates and in lissencephaly

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Somatosensory area 3b is selectively unaffected in corticobasal syndrome: combining MRI and histology

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How ‘visual’ is the visual cortex? The interactions between the visual cortex and other sensory, motivational and motor systems as enabling factors for visual perception

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Mapping odorant sensitivities reveals a sparse but structured representation of olfactory chemical space by sensory input to the mouse olfactory bulb

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Reflections on the past two decades of neuroscience

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Contour proposal networks for biomedical instance segmentation

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Association between Long-Term Air Pollution, Chronic Traffic Noise, and Resting-State Functional Connectivity in the 1000BRAINS Study

Autori: Lina Glaubitz, Johanna Stumme, Sarah Lucht, Susanne Moebus, Sara Schramm, Christiane Jockwitz, Barbara Hoffmann, Svenja Caspers
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Distribution of the Noradrenaline Innervation and Adrenoceptors in the Macaque Monkey Thalamus

Autori: Isabel Pérez-Santos, Nicola Palomero-Gallagher, Karl Zilles, Carmen Cavada
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Thalamo-cortical spiking model of incremental learning combining perception, context and NREM-sleep

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Receptor architecture of macaque and human early visual areas: not equal, but comparable

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Multimodal investigation of the association between shift work and the brain in a population-based sample of older adults

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Impact of Cholesterol on the Stability of Monomeric and Dimeric Forms of the Translocator Protein TSPO: A Molecular Simulation Study

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Dopaminergic and Cholinergic Modulation of Large Scale Networks in silico Using Snudda

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Cytoarchitecture, intersubject variability, and 3D mapping of four new areas of the human anterior prefrontal cortex

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An Anatomically Constrained Model of V1 Simple Cells Predicts the Coexistence of Push–Pull and Broad Inhibition

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Dynamic primitives of brain network interaction

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Classification and prediction of cognitive performance differences in older age based on brain network patterns using a machine learning approach

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Dynamic coupling of whole-brain neuronal and neurotransmitter systems

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Is Consciousness First in Virtual Reality?

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Revisiting the global workspace orchestrating the hierarchical organization of the human brain

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Gender Specificities in Sleep Disturbances following Mild Traumatic Brain Injury: A Preliminary Study

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Cerebellar adaptive mechanisms explain the optimal control of saccadic eye movements

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1q21.1 distal copy number variants are associated with cerebral and cognitive alterations in humans

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Inversion of pop-out for a distracting feature dimension in monkey visual cortex

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On the Complexity of Resting State Spiking Activity in Monkey Motor Cortex

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A linguistic complexity pattern that defies aging: The processing of multiple negations

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Bistability of somatic pattern memories: stochastic outcomes in bioelectric circuits underlying regeneration

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Momentum-dependence in the infinitesimal Wilsonian renormalization group

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The Cerebellar Involvement in Autism Spectrum Disorders: From the Social Brain to Mouse Models

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NEST Desktop, an Educational Application for Neuroscience

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Brain computation by assemblies of neurons

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Circadian Modulation of Neurons and Astrocytes Controls Synaptic Plasticity in Hippocampal Area CA1

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NLRP3 monomer functional dynamics: From the effects of allosteric binding to implications for drug design

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FAIRly big: A framework for computationally reproducible processing of large-scale data

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International data governance for neuroscience

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Bodily Information and Top-Down Affective Priming Jointly Affect the Processing of Fearful Faces

Autori: Alessandra Nicoletta Cruz Yu, Pierpaolo Iodice, Giovanni Pezzulo, Laura Barca
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mlGeNN: accelerating SNN inference using GPU-enabled neural networks

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A self-supervised deep neural network for image completion resembles early visual cortex fMRI activity patterns for occluded scenes

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Evaluating the statistical similarity of neural network activity and connectivity via eigenvector angles

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Associations of Air Pollution and Noise with Local Brain Structure in a Cohort of Older Adults

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Resolving Fast Gas Transients with Metal Oxide Sensors

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Characterization of regional differences in resting-state fMRI with a data-driven network model of brain dynamics

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Fine-grained or coarse-grained? Strategies for implementing parallel genetic algorithms in a programmable neuromorphic platform

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Additional fiber orientations in the sagittal stratum—noise or anatomical fine structure?

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Combining brain perturbation and neuroimaging in non-human primates

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Occipital Intralobar fasciculi: a description, through tractography, of three forgotten tracts

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Target spike patterns enable efficient and biologically plausible learning for complex temporal tasks

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Multilevel development of cognitive abilities in an artificial neural network

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Error driven synapse augmented neurogenesis

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In pursuit of the epileptogenic zone in focal epilepsy:a dynamical network biomarker approach

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Responsible Research and Innovation & Digital Inclusiveness during Covid-19 Crisis in the Human Brain Project (HBP)

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The reliability and heritability of cortical folds and their genetic correlations across hemispheres

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The EBRAINS Hodgkin-Huxley Neuron Builder: An online resource for building data-driven neuron models

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Emerging technology for economic competitiveness or societal challenges? Framing purpose in Artificial Intelligence policy

Autori: Inga Ulnicane
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Changes of Mind after Movement Onset Depend on the State of the Motor System

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Autocorrelations from emergent bistability in homeostatic spiking neural networks on neuromorphic hardware

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Data-driven reduction of dendritic morphologies with preserved dendro-somatic responses

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Systematic modelling of the development of laminar projection origins in the cerebral cortex: Interactions of spatio-temporal patterns of neurogenesis and cellular heterogeneity

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Emergence of associative learning in a neuromorphic inference network

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A tutorial and tool for exploring feature similarity gradients with MRI data

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Effects of copy number variations on brain structure and risk for psychiatric illness: Large‐scale studies from the ENIGMA working groups on CNVs

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Discrimination between cyclic nucleotides in a cyclic nucleotide-gated ion channel

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Autofluorescence enhancement for label-free imaging of myelinated fibers in mammalian brains

Autori: Irene Costantini, Enrico Baria, Michele Sorelli, Felix Matuschke, Francesco Giardini, Miriam Menzel, Giacomo Mazzamuto, Ludovico Silvestri, Riccardo Cicchi, Katrin Amunts, Markus Axer, Francesco Saverio Pavone
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Towards a Bio-Inspired Real-Time Neuromorphic Cerebellum

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Towards Establishing Criteria for the Ethical Analysis of Artificial Intelligence

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Long-Term Desynchronization by Coordinated Reset Stimulation in a Neural Network Model With Synaptic and Structural Plasticity

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Virtual Connectomic Datasets in Alzheimer’s Disease and Aging Using Whole-Brain Network Dynamics Modelling

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Assessing the ethical and social concerns of artificial intelligence in neuroinformatics research: an empirical test of the European Union Assessment List for Trustworthy AI (ALTAI)

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fastPLI: A Fiber Architecture Simulation Toolbox for 3D-PLI

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Fast and energy-efficient neuromorphic deep learning with first-spike times

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Closing the mechanistic gap: the value of microarchitecture in understanding cognitive networks

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Regional changes of brain structure during progression of idiopathic Parkinson's disease – A longitudinal study using deformation based morphometry

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Closed-Form Control With Spike Coding Networks

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EEG Signal Diversity Varies With Sleep Stage and Aspects of Dream Experience

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Brain simulation as a cloud service: The Virtual Brain on EBRAINS

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Self-Consistent Stochastic Dynamics for Finite-Size Networks of Spiking Neurons

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Delineating epileptogenic networks using brain imaging data and personalized modeling in drug-resistant epilepsy

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The inferior frontal sulcus: cortical segregation, molecular architecture and function

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The fibro‐ and cyto‐architecture demarcating the border between the dentate gyrus and CA3 in sheep ( <i>Ovis aries</i> ) and domestic pig ( <i>Sus scrofa domesticus</i> )

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Turbulent-like Dynamics in the Human Brain

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Frontal and Cerebellar Atrophy Supports FTSD-ALS Clinical Continuum

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Cortical reorganization after motor stroke: A pilot study on differences between the upper and lower limbs

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The EBRAINS NeuroFeatureExtract: An Online Resource for the Extraction of Neural Activity Features From Electrophysiological Data

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Minimal specifications for non-human primate MRI: Challenges in standardizing and harmonizing data collection

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On the Contribution of Neuroethics to the Ethics and Regulation of Artificial Intelligence

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Verification and Design Methods for the BrainScaleS Neuromorphic Hardware System

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Genetic factors influencing a neurobiological substrate for psychiatric disorders

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Convergent regional brain abnormalities in behavioral variant frontotemporal dementia: A neuroimaging meta‐analysis of 73 studies

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Routing Brain Traffic Through the Von Neumann Bottleneck: Parallel Sorting and Refactoring

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Analytical and fast Fiber Orientation Distribution reconstruction in 3D-Polarized Light Imaging

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Non-Linear Frequency Dependence of Neurovascular Coupling in the Cerebellar Cortex Implies Vasodilation–Vasoconstriction Competition

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Perturbations in dynamical models of whole-brain activity dissociate between the level and stability of consciousness

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Are we really unconscious in “unconscious” states? Common assumptions revisited

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Disruption in structural–functional network repertoire and time-resolved subcortical fronto-temporoparietal connectivity in disorders of consciousness

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Multiscale molecular simulations to investigate adenylyl cyclase‐based signaling in the brain

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Scale-Free Functional Brain Networks Exhibit Increased Connectivity, Are More Integrated and Less Segregated in Patients with Parkinson’s Disease following Dopaminergic Treatment

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A brain atlas of axonal and synaptic delays based on modelling of cortico-cortical evoked potentials

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Modulation of intercolumnar synchronization by endogenous electric fields in cerebral cortex

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Higher Order Visual Areas Enhance Stimulus Responsiveness in Mouse Primary Visual Cortex

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Fast Simulations of Highly-Connected Spiking Cortical Models Using GPUs

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Cellular Mechanisms of Conscious Processing

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Transcutaneous Auricular Vagal Nerve Stimulation and Disorders of Consciousness: A Hypothesis for Mechanisms of Action

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Progress towards a cellularly resolved mouse mesoconnectome is empowered by data fusion and new neuroanatomy techniques

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Perception-Action Coupling Target Tracking Control for a Snake Robot via Reinforcement Learning

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Brain-inspired meta-reinforcement learning cognitive control in conflictual inhibition decision-making task for artificial agents

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Modeling the relationship between neuronal activity and the BOLD signal: contributions from astrocyte calcium dynamics

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Generalizing Longitudinal Age Effects on Brain Structure – A Two-Study Comparison Approach

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Losing the Self in Near-Death Experiences: The Experience of Ego-Dissolution

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Comprehensive decoding mental processes from Web repositories of functional brain images

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A whole-brain model of the neural entropy increase elicited by psychedelic drugs

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EEG spectral exponent as a synthetic index for the longitudinal assessment of stroke recovery

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The Neurotransmitter Receptor Architecture of the Mouse Olfactory System

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Up and Down states during slow oscillations in slow-wave sleep and different levels of anesthesia

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Gray matter volume and estimated brain age gap are not linked with sleep‐disordered breathing

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Event-Based Sensing and Signal Processing in the Visual, Auditory, and Olfactory Domain: A Review

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Meta-Reinforcement Learning in Non-Stationary and Dynamic Environments

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Epistemic Challenges of Digital Twins & Virtual Brains: Perspectives from Fundamental Neuroethics

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VMetaFlow: A Meta-Framework for Integrating Visualizations in Coordinated View Applications

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Spiking Neural Network Nonlinear Demapping on Neuromorphic Hardware for IM/DD Optical Communication

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Benchmarking Highly Parallel Hardware for Spiking Neural Networks in Robotics

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Automatic group-wise whole-brain short association fiber bundle labeling based on clustering and cortical surface information

Autori: Andrea Vázquez, Narciso López-López, Josselin Houenou, Cyril Poupon, Jean-François Mangin, Susana Ladra, Pamela Guevara
Pubblicato in: BioMedical Engineering OnLine, Numero 19/1, 2020, ISSN 1475-925X
Editore: BioMed Central
DOI: 10.1186/s12938-020-00786-z

3D Analysis of the Synaptic Organization in the Entorhinal Cortex in Alzheimer’s Disease

Autori: M. Domínguez-Álvaro, M. Montero-Crespo, L. Blazquez-Llorca, S. Plaza-Alonso, N. Cano-Astorga, J. DeFelipe, L. Alonso-Nanclares
Pubblicato in: eneuro, Vol. 8, No. 3, 2021, ISSN 2373-2822
Editore: Society for Neuroscience
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Optimal responsiveness and information flow in networks of heterogeneous neurons

Autori: Matteo Di Volo, Alain Destexhe
Pubblicato in: Scientific Reports, Vol. 11, No. 1, 2021, ISSN 2045-2322
Editore: Nature Publishing Group
DOI: 10.1038/s41598-021-96745-2

Special treatment of prediction errors in autism spectrum disorder

Autori: Greta Krasimirova Todorova, Frank Earl Pollick, Lars Muckli
Pubblicato in: Neuropsychologia, Vol. 163, 2021, ISSN 0028-3932
Editore: Pergamon Press Ltd.
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Prediction of response to repetitive transcranial magnetic stimulation in phantom sounds based on individual brain anatomy

Autori: Timm B Poeppl, Martin Schecklmann, Katrin Sakreida, Michael Landgrebe, Berthold Langguth, Simon B Eickhoff
Pubblicato in: Brain Communications, Vol. 3, No. 3, 2021, ISSN 2632-1297
Editore: Oxford University Press (OUP)
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Motor and higher‐order functions topography of the human dentate nuclei identified with tractography and clustering methods

Autori: Fulvia Palesi, Matteo Ferrante, Marta Gaviraghi, Anastasia Misiti, Giovanni Savini, Alessandro Lascialfari, Egidio D'Angelo, Claudia A. M. Gandini Wheeler‐Kingshott
Pubblicato in: Human Brain Mapping, Vol. 42, No. 13, 2021, ISSN 1065-9471
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The current and future contribution of neuroimaging to the understanding of disorders of consciousness

Autori: Naji Alnagger, Paolo Cardone, Charlotte Martial, Steven Laureys, Jitka Annen, Olivia Gosseries
Pubblicato in: La Presse Médicale, Vol. 52, No. 2, 2023, ISSN 0755-4982
Editore: Elsevier Masson
DOI: 10.1016/j.lpm.2022.104163

EBRAINS Live Papers - Interactive Resource Sheets for Computational Studies in Neuroscience

Autori: Shailesh Appukuttan, Luca L. Bologna, Felix Schürmann, Michele Migliore, Andrew P. Davison
Pubblicato in: Neuroinformatics, 2022, ISSN 1539-2791
Editore: Humana Press, Inc.
DOI: 10.1007/s12021-022-09598-z

Simulation to Real: Learning Energy-Efficient Slithering Gaits for a Snake-Like Robot

Autori: Zhenshan Bing, Long Cheng, Kai Huang, Alois Knoll
Pubblicato in: IEEE Robotics &amp; Automation Magazine, Vol. 29, No. 4, 2022, ISSN 1070-9932
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/mra.2022.3204237

International survey on the implementation of the European and American guidelines on disorders of consciousness

Autori: Michele Farisco, Rita Formisano, Olivia Gosseries, Yoko Kato, Shigeki Koboyashi, Steven Laureys, Nicolas Lejeune, Charlotte Martial, Amal Matar, Ann-Marie Morrisey, Caroline Schnakers, Maidinamu Yakufujiang, Tomohiro Yamaki, Vigneswaran Veeramuthu, Matteo Zandalasini, Nathan Zasler, Alfonso Magliacano, Anna Estraneo, IBIA Special Interest Group on DoCs
Pubblicato in: Journal of Neurology, 2023, ISSN 0340-5354
Editore: Dr. Dietrich Steinkopff Verlag
DOI: 10.1007/s00415-023-11956-z

Embedding responsibility in intelligent systems: from AI ethics to responsible AI ecosystems

Autori: Bernd Carsten Stahl
Pubblicato in: Scientific Reports, Vol. 13, No. 1, 2023, ISSN 2045-2322
Editore: Nature Publishing Group
DOI: 10.1038/s41598-023-34622-w

Toward a High-Resolution Reconstruction of 3D Nerve Fiber Architectures and Crossings in the Brain Using Light Scattering Measurements and Finite-Difference Time-Domain Simulations

Autori: Miriam Menzel, Markus Axer, Hans De Raedt, Irene Costantini, Ludovico Silvestri, Francesco S. Pavone, Katrin Amunts, Kristel Michielsen
Pubblicato in: Physical Review X, Numero 10/2, 2020, ISSN 2160-3308
Editore: American Physical Society
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In silico exploration of mouse brain dynamics by focal stimulation reflects the organization of functional networks and sensory processing

Autori: Andreas Spiegler, Javad Karimi Abadchi, Majid Mohajerani, Viktor K. Jirsa
Pubblicato in: Network Neuroscience, Vol. 4, No. 3, 2020, ISSN 2472-1751
Editore: MIT Press - Journals
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3D synaptic organization of layer III of the human anterior cingulate and temporopolar cortex

Autori: Nicolás Cano-Astorga, Sergio Plaza-Alonso, Javier DeFelipe, Lidia Alonso-Nanclares
Pubblicato in: Cerebral Cortex, Vol. 33, No. 17, 2023, ISSN 1047-3211
Editore: Oxford University Press
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Multiple Poses and Thermodynamics of Ligands Targeting Protein Surfaces: The Case of Furosemide Binding to mitoNEET in Aqueous Solution

Autori: Linh Gia Hoang, Jonas Goßen, Riccardo Capelli, Toan T. Nguyen, Zhaoxi Sun, Ke Zuo, Jörg B. Schulz, Giulia Rossetti, Paolo Carloni
Pubblicato in: Frontiers in Cell and Developmental Biology, Vol. 10, 2022, ISSN 2296-634X
Editore: Frontiers Media SA
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The Aging Brain and Executive Functions Revisited: Implications from Meta-analytic and Functional-Connectivity Evidence

Autori: Marisa K. Heckner, Edna C. Cieslik, Simon B. Eickhoff, Julia A. Camilleri, Felix Hoffstaedter, Robert Langner
Pubblicato in: Journal of Cognitive Neuroscience, 2021, ISSN 0898-929X
Editore: Cambridge Center for Behavioral Studies
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Sparse coding with a somato-dendritic rule

Autori: Damien Drix, Verena V. Hafner, Michael Schmuker
Pubblicato in: Neural Networks, Numero 131, 2020, Pagina/e 37-49, ISSN 0893-6080
Editore: Pergamon Press Ltd.
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Variation of connectivity across exemplar sensory and associative thalamocortical loops in the mouse

Autori: Arghya Mukherjee, Navdeep Bajwa, Norman H Lam, César Porrero, Francisco Clasca, Michael M Halassa
Pubblicato in: eLife, Numero 9, 2020, ISSN 2050-084X
Editore: eLife Sciences Publications
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Aberrant olfactory network functional connectivity in people with olfactory dysfunction following COVID-19 infection: an exploratory, observational study

Autori: Jed Wingrove, Janine Makaronidis, Ferran Prados, Baris Kanber, Marios C. Yiannakas, Cormac Magee, Gloria Castellazzi, Louis Grandjean, Xavier Golay, Carmen Tur, Olga Ciccarelli, Egidio D'Angelo, Claudia A.M. Gandini Wheeler-Kingshott, Rachel L. Batterham
Pubblicato in: eClinicalMedicine, Vol. 58, 2023, ISSN 2589-5370
Editore: Elsevier BV
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JuSpace : A tool for spatial correlation analyses of magnetic resonance imaging data with nuclear imaging derived neurotransmitter maps

Autori: Juergen Dukart, Stefan Holiga, Michael Rullmann, Rupert Lanzenberger, Peter C. T. Hawkins, Mitul A. Mehta, Swen Hesse, Henryk Barthel, Osama Sabri, Robert Jech, Simon B. Eickhoff
Pubblicato in: Human Brain Mapping, Numero 42/3, 2021, Pagina/e 555-566, ISSN 1065-9471
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Variability in the analysis of a single neuroimaging dataset by many teams

Autori: Rotem Botvinik-Nezer, Felix Holzmeister, Colin F. Camerer, Anna Dreber, Juergen Huber, Magnus Johannesson, Michael Kirchler, Roni Iwanir, Jeanette A. Mumford, R. Alison Adcock, Paolo Avesani, Blazej M. Baczkowski, Aahana Bajracharya, Leah Bakst, Sheryl Ball, Marco Barilari, Nadège Bault, Derek Beaton, Julia Beitner, Roland G. Benoit, Ruud M. W. J. Berkers, Jamil P. Bhanji, Bharat B. Biswal, Sebas
Pubblicato in: Nature, Vol. 582, No. 7810, 2020, ISSN 0028-0836
Editore: Nature Publishing Group
DOI: 10.1038/s41586-020-2314-9

Global organization of neuronal activity only requires unstructured local connectivity

Autori: David Dahmen Is a corresponding author , Moritz Layer, Lukas Deutz, Paulina Anna Dąbrowska, Nicole Voges, Michael von Papen, Thomas Brochier, Alexa Riehle, Markus Diesmann, Sonja Grün, Moritz Helias
Pubblicato in: eLife Sciences Publications Cambridge, 2022, ISSN 2050-084X
Editore: eLife Sciences Publications
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Multiscale Approach for Computing Gated Ligand Binding from Molecular Dynamics and Brownian Dynamics Simulations

Autori: S. Kashif Sadiq, Abraham Muñiz Chicharro, Patrick Friedrich, Rebecca C. Wade
Pubblicato in: Journal of Chemical Theory and Computation, Vol. 17, No. 12, 2021, ISSN 1549-9618
Editore: American Chemical Society
DOI: 10.1021/acs.jctc.1c00673

What names for covert awareness? A systematic review

Autori: Caroline Schnakers, Chase Bauer, Rita Formisano, Enrique Noé, Roberto Llorens, Nicolas Lejeune, Michele Farisco, Liliana Teixeira, Ann-Marie Morrissey, Sabrina De Marco, Vigneswaran Veeramuthu, Kseniya Ilina, Brian L. Edlow, Olivia Gosseries, Matteo Zandalasini, Francesco De Bellis, Aurore Thibaut, Anna Estraneo
Pubblicato in: Frontiers in Human Neuroscience, 2022, ISSN 1662-5161
Editore: Frontiers Research Foundation
DOI: 10.3389/fnhum.2022.971315

Medical Informatics Platform (MIP): A Pilot Study Across Clinical Italian Cohorts

Autori: Alberto Redolfi, Silvia De Francesco, Fulvia Palesi, Samantha Galluzzi, Cristina Muscio, Gloria Castellazzi, Pietro Tiraboschi, Giovanni Savini, Anna Nigri, Gabriella Bottini, Maria Grazia Bruzzone, Matteo Cotta Ramusino, Stefania Ferraro, Claudia A. M. Gandini Wheeler-Kingshott, Fabrizio Tagliavini, Giovanni B. Frisoni, Philippe Ryvlin, Jean-François Demonet, Ferath Kherif, Stefano F. Cappa, Egi
Pubblicato in: Frontiers in Neurology, Numero 11, 2020, ISSN 1664-2295
Editore: Frontiers Research Foundation
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Myelin densities in retinotopically defined dorsal visual areas of the macaque

Autori: Xiaolian Li, Qi Zhu, Wim Vanduffel
Pubblicato in: Brain Structure and Function, 2021, ISSN 1863-2653
Editore: Springer Verlag
DOI: 10.1007/s00429-021-02363-z

Model-based whole-brain effective connectivity to study distributed cognition in health and disease

Autori: Matthieu Gilson, Gorka Zamora-López, Vicente Pallarés, Mohit H. Adhikari, Mario Senden, Adrià Tauste Campo, Dante Mantini, Maurizio Corbetta, Gustavo Deco, Andrea Insabato
Pubblicato in: Network Neuroscience, Numero 4/2, 2020, Pagina/e 338-373, ISSN 2472-1751
Editore: MIT Press - Journals
DOI: 10.1162/netn_a_00117

Neuronize v2: Bridging the Gap Between Existing Proprietary Tools to Optimize Neuroscientific Workflows

Autori: Ivan Velasco, Pablo Toharia, Ruth Benavides-Piccione, Isabel Fernaud-Espinosa, Juan P. Brito, Susana Mata, Javier DeFelipe, Luis Pastor, Sofia Bayona
Pubblicato in: Frontiers in Neuroanatomy, Numero 14, 2020, ISSN 1662-5129
Editore: Frontiers Research Foundation
DOI: 10.3389/fnana.2020.585793

A machine learning approach for the factorization of psychometric data with application to the Delis Kaplan Executive Function System

Autori: J. A. Camilleri, S. B. Eickhoff, S. Weis, J. Chen, J. Amunts, A. Sotiras, S. Genon
Pubblicato in: Scientific Reports, Vol. 11, No. 1, 2021, ISSN 2045-2322
Editore: Nature Publishing Group
DOI: 10.1038/s41598-021-96342-3

Runtime Construction of Large-Scale Spiking Neuronal Network Models on GPU Devices

Autori: Bruno Golosio, Jose Villamar, Gianmarco Tiddia, Elena Pastorelli, Jonas Stapmanns, Viviana Fanti, Pier Stanislao Paolucci, Abigail Morrison, Johanna Senk
Pubblicato in: Applied Sciences, Vol. 13, No. 17, 2023, ISSN 2076-3417
Editore: MDPI AG
DOI: 10.3390/app13179598

Local brain-state dependency of effective connectivity: a pilot TMS–EEG study

Autori: Ida Granö, Tuomas P. Mutanen, Aino Tervo, Jaakko O. Nieminen, Victor H. Souza, Matteo Fecchio, Mario Rosanova, Pantelis Lioumis, Risto J. Ilmoniemi
Pubblicato in: Open Research Europe, Vol. 2, 2022, ISSN 2732-5121
Editore: F1000 Research Ltd
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PfCRT mutations conferring piperaquine resistance in falciparum malaria shape the kinetics of quinoline drug binding and transport

Autori: Guillermo M. Gomez, Giulia D’Arrigo, Cecilia P. Sanchez, Fiona Berger, Rebecca C. Wade, Michael Lanzer
Pubblicato in: PLOS Pathogens, Vol. 19, No. 6, 2023, ISSN 1553-7374
Editore: Public Library of Science (PLoS)
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Chimpanzee brain morphometry utilizing standardized MRI preprocessing and macroanatomical annotations

Autori: Sam Vickery, William D Hopkins, Chet C Sherwood, Steven J Schapiro, Robert D Latzman, Svenja Caspers, Christian Gaser, Simon B Eickhoff, Robert Dahnke, Felix Hoffstaedter
Pubblicato in: eLife, Numero 9, 2020, ISSN 2050-084X
Editore: eLife Sciences Publications
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Brain research challenges supercomputing

Autori: Katrin Amunts, Thomas Lippert
Pubblicato in: Science, Vol. 374, No. 6571, 2021, ISSN 0036-8075
Editore: American Association for the Advancement of Science
DOI: 10.1126/science.abl8519

Complete hemispherotomy leads to lateralized functional organization and lower level of consciousness in the isolated hemisphere

Autori: Thomas Blauwblomme, Athena Demertzi, Jean‐Marc Tacchela, Ludovic Fillon, Marie Bourgeois, Emma Losito, Monika Eisermann, Daniele Marinazzo, Federico Raimondo, Sarael Alcauter, Frederik Van De Steen, Nigel Colenbier, Steven Laureys, Volodia Dangouloff‐Ros, Lionel Naccache, Nathalie Boddaert, Rima Nabbout
Pubblicato in: Epilepsia Open, Numero 5/4, 2020, Pagina/e 537-549, ISSN 2470-9239
Editore: Wiley
DOI: 10.1002/epi4.12433

Convolutional Neural Networks for cytoarchitectonic brain mapping at large scale

Autori: Christian Schiffer, Hannah Spitzer, Kai Kiwitz, Nina Unger, Konrad Wagstyl, Alan C. Evans, Stefan Harmeling, Katrin Amunts, Timo Dickscheid
Pubblicato in: NeuroImage, 2021, ISSN 1053-8119
Editore: Academic Press
DOI: 10.1016/j.neuroimage.2021.118327

Adaptive Robot-Human Handovers With Preference Learning

Autori: Gojko Perovic, Francesco Iori, Angela Mazzeo, Marco Controzzi, Egidio Falotico
Pubblicato in: IEEE Robotics and Automation Letters, Vol. 8, No. 10, 2023, ISSN 2377-3766
Editore: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/lra.2023.3306280

The Cultural and Social Challenge of Promoting the Professional Value of Motherhood and Fatherhood

Autori: Alessandra Pedrocchi
Pubblicato in: Frontiers in Neuroscience, Vol. 16, 2022, ISSN 1662-453X
Editore: Frontiers Media SA
DOI: 10.3389/fnins.2022.853329

Multimodal 3D atlas of the macaque monkey motor and premotor cortex

Autori: Lucija Rapan, Sean Froudist-Walsh, Meiqi Niu, Ting Xu, Thomas Funck, Karl Zilles, Nicola Palomero-Gallagher
Pubblicato in: NeuroImage, Numero 226, 2021, Pagina/e 117574, ISSN 1053-8119
Editore: Academic Press
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Apical drive—A cellular mechanism of dreaming?

Autori: Jaan Aru, Francesca Siclari, William A. Phillips, Johan F. Storm
Pubblicato in: Neuroscience & Biobehavioral Reviews, Numero 119, 2020, Pagina/e 440-455, ISSN 0149-7634
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A realistic morpho-anatomical connection strategy for modelling full-scale point-neuron microcircuits

Autori: Daniela Gandolfi, Jonathan Mapelli, Sergio Solinas, Robin De Schepper, Alice Geminiani, Claudia Casellato, Egidio D’Angelo, Michele Migliore
Pubblicato in: Scientific Reports, Vol. 12, No. 1, 2022, ISSN 2045-2322
Editore: Nature Publishing Group
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Neuromorphic quantum computing

Autori: Christian Pehle, Christof Wetterich
Pubblicato in: Physical Review E, Vol. 106, No. 4, 2022, ISSN 2470-0045
Editore: American Physical Society (APS)
DOI: 10.1103/physreve.106.045311

Neuroscience is ready for neuroethics engagement

Autori: Jayatri Das, Cynthia Forlini, Darrell M. Porcello, Karen S. Rommelfanger, Arleen Salles, Global Neuroethics Summit Delegates
Pubblicato in: Frontiers in Communication, Vol. 7, 2022, ISSN 2297-900X
Editore: Frontiers Media SA
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A cortex-like canonical circuit in the avian forebrain

Autori: Martin Stacho, Christina Herold, Noemi Rook, Hermann Wagner, Markus Axer, Katrin Amunts, Onur Güntürkün
Pubblicato in: Science, Numero 369/6511, 2020, Pagina/e eabc5534, ISSN 0036-8075
Editore: American Association for the Advancement of Science
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The tectum/superior colliculus as the vertebrate solution for spatial sensory integration and action

Autori: Tadashi Isa, Emmanuel Marquez-Legorreta, Sten Grillner, Ethan K. Scott
Pubblicato in: Current Biology, Vol. 31, No. 11, 2021, ISSN 0960-9822
Editore: Cell Press
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Reinforcement learning in a spiking neural model of striatum plasticity

Autori: Álvaro González-Redondo, Jesús Garrido, Francisco Naveros Arrabal, Jeanette Hellgren Kotaleski, Sten Grillner, Eduardo Ros
Pubblicato in: Neurocomputing, Vol. 548, 2023, ISSN 0925-2312
Editore: Elsevier BV
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Validation of the simplified evaluation of consciousness disorders (SECONDs) scale in Mandarin

Autori: Anqi Wang, Lingxiu Sun, Lijuan Cheng, Nantu Hu, Yan Chen, Leandro R D Sanz, Aurore Thibaut, Olivia Gosseries, Steven Laureys, Charlotte Martial, Haibo Di
Pubblicato in: Annals of Physical and Rehabilitation Medicine, Vol. 66, No. 7, 2023, ISSN 1877-0657
Editore: Elsevier Masson
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Granular layEr Simulator: Design and Multi-GPU Simulation of the Cerebellar Granular Layer

Autori: Giordana Florimbi, Emanuele Torti, Stefano Masoli, Egidio D'Angelo, Francesco Leporati
Pubblicato in: Frontiers in Computational Neuroscience, Vol. 15, 2021, ISSN 1662-5188
Editore: Frontiers Research Foundation
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3D Atlas of the Pituitary Gland of the Model Fish Medaka (Oryzias latipes)

Autori: Muhammad Rahmad Royan, Khadeeja Siddique, Gergely Csucs, Maja A. Puchades, Rasoul Nourizadeh-Lillabadi, Jan G. Bjaalie, Christiaan V. Henkel, Finn-Arne Weltzien, Romain Fontaine
Pubblicato in: Frontiers in Endocrinology, Vol. 12, 2021, ISSN 1664-2392
Editore: Frontiers Media SA
DOI: 10.3389/fendo.2021.719843

Shaping brain structure: Genetic and phylogenetic axes of macroscale organization of cortical thickness

Autori: Sofie L. Valk, Ting Xu, Daniel S. Margulies, Shahrzad Kharabian Masouleh, Casey Paquola, Alexandros Goulas, Peter Kochunov, Jonathan Smallwood, B. T. Thomas Yeo, Boris C. Bernhardt, Simon B. Eickhoff
Pubblicato in: Science Advances, Numero 6/39, 2020, Pagina/e eabb3417, ISSN 2375-2548
Editore: American Association for the Advancement of Science (AAAS)
DOI: 10.1126/sciadv.abb3417

General Anesthesia Disrupts Complex Cortical Dynamics in Response to Intracranial Electrical Stimulation in Rats

Autori: A. Arena, R. Comolatti, S. Thon, A. G. Casali, J. F. Storm
Pubblicato in: eneuro, Vol. 8, No. 4, 2021, ISSN 2373-2822
Editore: Society for Neuroscience
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Shape perception via a high-channel-count neuroprosthesis in monkey visual cortex

Autori: Xing Chen, Feng Wang, Eduardo Fernandez, Pieter R. Roelfsema
Pubblicato in: Science, Numero 370/6521, 2020, Pagina/e 1191-1196, ISSN 0036-8075
Editore: American Association for the Advancement of Science
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Predicting Synaptic Connectivity for Large-Scale Microcircuit Simulations Using Snudda

Autori: J. J. Johannes Hjorth, Jeanette Hellgren Kotaleski, Alexander Kozlov
Pubblicato in: Neuroinformatics, 2021, ISSN 1559-0089
Editore: Springer
DOI: 10.1007/s12021-021-09531-w

Efficient Communication in Distributed Simulations of Spiking Neuronal Networks With Gap Junctions

Autori: Jakob Jordan, Moritz Helias, Markus Diesmann, Susanne Kunkel
Pubblicato in: Frontiers in Neuroinformatics, Numero 14, 2020, ISSN 1662-5196
Editore: Frontiers Research Foundation
DOI: 10.3389/fninf.2020.00012

CEREBRUM‐7T: Fast and Fully Volumetric Brain Segmentation of 7 Tesla MR Volumes

Autori: Michele Svanera, Sergio Benini, Dennis Bontempi, Lars Muckli
Pubblicato in: Human Brain Mapping, 2021, ISSN 1065-9471
Editore: John Wiley & Sons Inc.
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Olfaction in Lamprey Pallium Revisited—Dual Projections of Mitral and Tufted Cells

Autori: Shreyas M. Suryanarayana, Juan Pérez-Fernández, Brita Robertson, Sten Grillner
Pubblicato in: Cell Reports, Numero 34/1, 2021, Pagina/e 108596, ISSN 2211-1247
Editore: Cell Press
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A taxonomy of seizure dynamotypes

Autori: Maria Luisa Saggio, Dakota Crisp, Jared M Scott, Philippa Karoly, Levin Kuhlmann, Mitsuyoshi Nakatani, Tomohiko Murai, Matthias Dümpelmann, Andreas Schulze-Bonhage, Akio Ikeda, Mark Cook, Stephen V Gliske, Jack Lin, Christophe Bernard, Viktor Jirsa, William C Stacey
Pubblicato in: eLife, Numero 9, 2020, ISSN 2050-084X
Editore: eLife Sciences Publications
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Towards modern post-coma care based on neuroscientific evidence

Autori: Leandro R.D. Sanz, Steven Laureys, Olivia Gosseries
Pubblicato in: International Journal of Clinical and Health Psychology, Vol. 23, No. 3, 2023, ISSN 1697-2600
Editore: Asociacion Espanola de Psicologia Conductual
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A comparative study between state‐of‐the‐art MRI deidentification and AnonyMI, a new method combining re‐identification risk reduction and geometrical preservation

Autori: Ezequiel Mikulan, Simone Russo, Flavia Maria Zauli, Piergiorgio d'Orio, Sara Parmigiani, Jacopo Favaro, William Knight, Silvia Squarza, Pierluigi Perri, Francesco Cardinale, Pietro Avanzini, Andrea Pigorini
Pubblicato in: Human Brain Mapping, 2021, ISSN 1065-9471
Editore: John Wiley & Sons Inc.
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Calcium Channel-Dependent Induction of Long-Term Synaptic Plasticity at Excitatory Golgi Cell Synapses of Cerebellum

Autori: F. Locatelli, T. Soda, I. Montagna, S. Tritto, L. Botta, F. Prestori, E. D'Angelo
Pubblicato in: The Journal of Neuroscience, Vol. 41, No. 15, 2021, ISSN 0270-6474
Editore: Society for Neuroscience
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Cognitive profiles in older males and females

Autori: C. Jockwitz, L. Wiersch, J. Stumme, S. Caspers
Pubblicato in: Scientific Reports, Vol. 11, No. 1, 2021, ISSN 2045-2322
Editore: Nature Publishing Group
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Mapping Cytoarchitectonics and Receptor Architectonics to Understand Brain Function and Connectivity

Autori: Daniel Zachlod, Nicola Palomero-Gallagher, Timo Dickscheid, Katrin Amunts
Pubblicato in: Biological Psychiatry, Vol. 93, No. 5, 2022, ISSN 0006-3223
Editore: Elsevier BV
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Whole-brain dynamical modelling for classification of Parkinson’s disease

Autori: Kyesam Jung, Esther Florin, Kaustubh R Patil, Julian Caspers, Christian Rubbert, Simon B Eickhoff, Oleksandr V Popovych
Pubblicato in: Brain Communications, Vol. 5, No. 1, 2022, ISSN 2632-1297
Editore: Oxford University Press (OUP)
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In vitro neurons learn and exhibit sentience when embodied in a simulated game-world

Autori: Brett J. Kagan, Andy C. Kitchen, Nhi T. Tran, Forough Habibollahi, Moein Khajehnejad, Bradyn J. Parker, Anjali Bhat, Ben Rollo, Adeel Razi, Karl J. Friston
Pubblicato in: Neuron, Vol. 110, No. 23, 2022, ISSN 0896-6273
Editore: Cell Press
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The role of thickness inhomogeneities in hierarchical cortical folding

Autori: Lucas da Costa Campos, Raphael Hornung, Gerhard Gompper, Jens Elgeti, Svenja Caspers
Pubblicato in: NeuroImage, 2021, ISSN 1053-8119
Editore: Academic Press
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EMULATING DENDRITIC COMPUTING PARADIGMS ON ANALOG NEUROMORPHIC HARDWARE

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JTrack: A Digital Biomarker Platform for Remote Monitoring of Daily-Life Behaviour in Health and Disease

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Comparing Surrogates to Evaluate Precisely Timed Higher-Order Spike Correlations

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The Heidelberg Spiking Data Sets for the Systematic Evaluation of Spiking Neural Networks

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A framework to identify structured behavioral patterns within rodent spatial trajectories

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Increased sensitivity to strong perturbations in a whole-brain model of LSD

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A Timm-Nissl multiplane microscopic atlas of rat brain zincergic terminal fields and metal-containing glia

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Optimum trajectory learning in musculoskeletal systems with model predictive control and deep reinforcement learning

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Entropy production of multivariate Ornstein-Uhlenbeck processes correlates with consciousness levels in the human brain

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Group-level inference of information-based measures for the analyses of cognitive brain networks from neurophysiological data

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Cross-cohort replicability and generalizability of connectivity-based psychometric prediction patterns

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Combined analysis of cytoarchitectonic, molecular and transcriptomic patterns reveal differences in brain organization across human functional brain systems.

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Reproducing and quantitatively validating a biologically-constrained point-neuron model of CA1 pyramidal cells

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Control of Brain State Transitions with a Photoswitchable Muscarinic Agonist

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Fast Simulation of a Multi-Area Spiking Network Model of Macaque Cortex on an MPI-GPU Cluster

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Using light and X-ray scattering to untangle complex neuronal orientations and validate diffusion MRI

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Loss of consciousness reduces the stability of brain hubs and the heterogeneity of brain dynamics

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CGMD Platform: Integrated Web Servers for the Preparation, Running, and Analysis of Coarse-Grained Molecular Dynamics Simulations

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Perspective on the Multiple Pathways to Changing Brain States

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Assessing brain state and anesthesia level with two-photon calcium signals

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Exploring ethics and human rights in artificial intelligence – A Delphi study

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Exploring Parameter and Hyper-Parameter Spaces of Neuroscience Models on High Performance Computers With Learning to Learn

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Limited Pairings of Electrical Micro-stimulation of the Ventral Tegmental Area and a Visual Stimulus Enhance Visual Cortical Responses

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Transversal functional connectivity and scene-specific processing in the human entorhinal-hippocampal circuitry

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Building a responsible innovation toolkit as project legacy

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Predictive olfactory learning in Drosophila

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Large-scale all-optical dissection of motor cortex connectivity shows a segregated organization of mouse forelimb representations

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Larger GPU-accelerated brain simulations with procedural connectivity

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Robotic Manipulation in Dynamic Scenarios via Bounding-Box-Based Hindsight Goal Generation

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Neural responses to heartbeats detect residual signs of consciousness during resting state in post-comatose patients

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Inter-subject and inter-parcellation variability of resting-state whole-brain dynamical modeling

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A comprehensive neural simulation of slow-wave sleep and highly responsive wakefulness dynamics

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The topography of corticopontine projections is controlled by postmitotic expression of the area-mapping gene <i>Nr2f1</i>

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The efferent connections of the orbitofrontal, posterior parietal, and insular cortex of the rat brain

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A Guide to Perform 3D Histology of Biological Tissues with Fluorescence Microscopy

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The execution of movement - a spinal affair

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Simulations of working memory spiking networks driven by short-term plasticity

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A Scalable Approach to Modeling on Accelerated Neuromorphic Hardware

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Drift in a popular metal oxide sensor dataset reveals limitations for gas classification benchmarks

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Analysis of Age-Dependent Alterations in Excitability Properties of CA1 Pyramidal Neurons in an APPPS1 Model of Alzheimer’s Disease

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Identification of pleiotropy at the gene level between psychiatric disorders and related traits

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Extracting representations of cognition across neuroimaging studies improves brain decoding

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Determination of the nanoscale electrical properties of olfactory receptor hOR1A1 and their dependence on ligand binding: Towards the development of capacitance-operated odorant biosensors

Autori: Lagunas, Anna; Belloir, Christine; Briand, Loïc; Gorostiza, Pau; Samitier, Josep
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Modernizing the NEURON Simulator for Sustainability, Portability, and Performance

Autori: Omar Awile, Pramod Kumbhar, Nicolas Cornu, Salvador Dura-Bernal, James Gonzalo King, Olli Lupton, Ioannis Magkanaris, Robert A. McDougal, Adam J. H. Newton, Fernando Pereira, Alexandru Săvulescu, Nicholas T. Carnevale, William W. Lytton, Michael L. Hines, Felix Schürmann
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Reversible Photocontrol of Dopaminergic Transmission in Wild-Type Animals

Autori: Matera, Carlo; Calvé, Pablo; Casadó-Anguera, Verònica; Sortino, Rosalba; Gomila, Alexandre MJ.; Moreno, Estefanía; Gener, Thomas; Delgado-Sallent, Cristina; Nebot, Pau; Costazza, Davide; Conde-Berriozabal, Sara; Masana, Mercè; Hernando, Jordi; Casadó, Vicent; Puig, MVictoria; Gorostiza, Pau
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Integration, coincidence detection and resonance in networks of spiking neurons expressing Gamma oscillations and asynchronous states

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Computational Modeling of Inhibitory Transsynaptic Signaling in Hippocampal and Cortical Neurons Expressing Intrabodies Against Gephyrin

Autori: Carmen A. Lupascu, Annunziato Morabito, Federica Ruggeri, Chiara Parisi, Domenico Pimpinella, Rocco Pizzarelli, Giovanni Meli, Silvia Marinelli, Enrico Cherubini, Antonino Cattaneo, Michele Migliore
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Adaptation shapes local cortical reactivity: from bifurcation diagram and simulations to human physiological and pathological responses

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Neurophysiological Biomarkers of Persistent Post-concussive Symptoms: A Scoping Review

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Conditions for wave trains in spiking neural networks

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Active inference unifies intentional and conflict-resolution imperatives of motor control

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Cytoarchitectonic parcellation and functional characterization of four new areas in the caudal parahippocampal cortex

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Three-Dimensional Synaptic Organization of Layer III of the Human Temporal Neocortex

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A neurophenomenological approach to non-ordinary states of consciousness: hypnosis, meditation, and psychedelics

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Attractor competition enriches cortical dynamics during awakening from anesthesia

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Development and validation of an fMRI-informed EEG model of reward-related ventral striatum activation

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Dynamical Characteristics of Recurrent Neuronal Networks Are Robust Against Low Synaptic Weight Resolution

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Ubi-Interact: A modular approach to connecting systems

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DOI: 10.4108/eai.14-7-2021.170291

A workflow for exploring ligand dissociation from a macromolecule: Efficient random acceleration molecular dynamics simulation and interaction fingerprint analysis of ligand trajectories

Autori: Daria B. Kokh, Bernd Doser, Stefan Richter, Fabian Ormersbach, Xingyi Cheng, Rebecca C. Wade
Pubblicato in: The Journal of Chemical Physics, Numero 153/12, 2020, Pagina/e 125102, ISSN 0021-9606
Editore: American Institute of Physics
DOI: 10.1063/5.0019088

Validation of a new approach for distinguishing anesthetized from awake state in patients using directed transfer function applied to raw EEG

Autori: Bjørn E. Juel, Luis Romundstad, Johan F. Storm, Pål G. Larsson
Pubblicato in: Journal of Clinical Monitoring and Computing, 2020, ISSN 1387-1307
Editore: Kluwer Academic Publishers
DOI: 10.1007/s10877-020-00603-x

Contextual drive of neuronal responses in mouse V1 in the absence of feedforward input

Autori: Lisa Kirchberger, Sreedeep Mukherjee, Matthew W. Self, Pieter R. Roelfsema
Pubblicato in: Science Advances, Vol. 9, No. 3, 2023, ISSN 2375-2548
Editore: American Association for the Advancement of Science (AAAS)
DOI: 10.1126/sciadv.add2498

Large-scale, cell-resolution volumetric mapping allows layer-specific investigation of human brain cytoarchitecture

Autori: Irene Costantini, Giacomo Mazzamuto, Matteo Roffilli, Annunziatina Laurino, Filippo Maria Castelli, Mattia Neri, Giovanni Lughi, Andrea Simonetto, Erica Lazzeri, Luca Pesce, Christophe Destrieux, Ludovico Silvestri, Valerio Conti, Renzo Guerrini, Francesco Saverio Pavone
Pubblicato in: Biomedical Optics Express, Vol. 12, No. 6, 2021, ISSN 2156-7085
Editore: The Optical Society
DOI: 10.1364/boe.415555

Deploying and Optimizing Embodied Simulations of Large-Scale Spiking Neural Networks on HPC Infrastructure

Autori: Benedikt Feldotto, Jochen Martin Eppler, Cristian Jimenez-Romero, Christopher Bignamini, Carlos Enrique Gutierrez, Ugo Albanese, Eloy Retamino, Viktor Vorobev, Vahid Zolfaghari, Alex Upton, Zhe Sun, Hiroshi Yamaura, Morteza Heidarinejad, Wouter Klijn, Abigail Morrison, Felipe Cruz, Colin McMurtrie, Alois C. Knoll, Jun Igarashi, Tadashi Yamazaki, Kenji Doya, Fabrice O. Morin
Pubblicato in: Frontiers in Neuroinformatics, Vol. 16, 2022, ISSN 1662-5196
Editore: Frontiers Research Foundation
DOI: 10.3389/fninf.2022.884180

Mechanisms Underlying Disorders of Consciousness: Bridging Gaps to Move Toward an Integrated Translational Science

Autori: Andrea I. Luppi, Joshua Cain, Lennart R. B. Spindler, Urszula J. Górska, Daniel Toker, Andrew E. Hudson, Emery N. Brown, Michael N. Diringer, Robert D. Stevens, Marcello Massimini, Martin M. Monti, Emmanuel A. Stamatakis, Melanie Boly, the Curing Coma Campaign and Its Contributing Collaborators
Pubblicato in: Neurocritical Care, Vol. 35, No. S1, 2021, ISSN 1541-6933
Editore: Humana Press, Inc.
DOI: 10.1007/s12028-021-01281-6

A unified resource and configurable model of the synapse proteome and its role in disease

Autori: Oksana Sorokina, Colin Mclean, Mike D. R. Croning, Katharina F. Heil, Emilia Wysocka, Xin He, David Sterratt, Seth G. N. Grant, Thomas I. Simpson, J. Douglas Armstrong
Pubblicato in: Scientific Reports, Vol. 11, No. 1, 2021, ISSN 2045-2322
Editore: Nature Publishing Group
DOI: 10.1038/s41598-021-88945-7

Local sleep-like cortical reactivity in the awake brain after focal injury

Autori: Simone Sarasso, Sasha D’Ambrosio, Matteo Fecchio, Silvia Casarotto, Alessandro Viganò, Cristina Landi, Giulia Mattavelli, Olivia Gosseries, Matteo Quarenghi, Steven Laureys, Guya Devalle, Mario Rosanova, Marcello Massimini
Pubblicato in: Brain, Vol. 143, No. 12, 2020, ISSN 0006-8950
Editore: Oxford University Press
DOI: 10.1093/brain/awaa338

Consciousness and complexity: a consilience of evidence

Autori: Simone Sarasso, Adenauer Girardi Casali, Silvia Casarotto, Mario Rosanova, Corrado Sinigaglia, Marcello Massimini
Pubblicato in: Neuroscience of Consciousness, 2021, ISSN 2057-2107
Editore: Oxford University Press (OUP)
DOI: 10.1093/nc/niab023

Strong and reliable synaptic communication between pyramidal neurons in adult human cerebral cortex

Autori: Sarah Hunt, Yoni Leibner, Eline J Mertens, Natalí Barros-Zulaica, Lida Kanari, Tim S Heistek, Mahesh M Karnani, Romy Aardse, René Wilbers, Djai B Heyer, Natalia A Goriounova, Matthijs B Verhoog, Guilherme Testa-Silva, Joshua Obermayer, Tamara Versluis, Ruth Benavides-Piccione, Philip de Witt-Hamer, Sander Idema, David P Noske, Johannes C Baayen, Ed S Lein, Javier DeFelipe, Henry Markram, Huibert
Pubblicato in: Cerebral Cortex, Vol. 33, No. 6, 2022, ISSN 1047-3211
Editore: Oxford University Press
DOI: 10.1093/cercor/bhac246

Acceleration of the SPADE Method Using a Custom-Tailored FP-Growth Implementation

Autori: Florian Porrmann, Sarah Pilz, Alessandra Stella, Alexander Kleinjohann, Michael Denker, Jens Hagemeyer, Ulrich Rückert
Pubblicato in: Frontiers in Neuroinformatics, Vol. 15, 2021, ISSN 1662-5196
Editore: Frontiers Research Foundation
DOI: 10.3389/fninf.2021.723406

The Dynamics of Functional Brain Networks Associated With Depressive Symptoms in a Nonclinical Sample

Autori: Sonsoles Alonso Martínez, Gustavo Deco, Gert J. Ter Horst, Joana Cabral
Pubblicato in: Frontiers in Neural Circuits, Vol. 14, 2020, ISSN 1662-5110
Editore: Frontiers Research Foundation
DOI: 10.3389/fncir.2020.570583

Revealing Whole-Brain Causality Networks During Guided Visual Searching

Autori: Christian M. Kiefer, Junji Ito, Ralph Weidner, Frank Boers, N. Jon Shah, Sonja Grün, Jürgen Dammers
Pubblicato in: Frontiers in Neuroscience, Vol. 16, 2022, ISSN 1662-453X
Editore: Frontiers Media SA
DOI: 10.3389/fnins.2022.826083

Tinnitus Perception in Light of a Parietal Operculo–Insular Involvement: A Review

Autori: Chloé Jaroszynski, Agnès Job, Maciej Jedynak, Olivier David, Chantal Delon-Martin
Pubblicato in: Brain Sciences, Vol. 12, No. 3, 2022, ISSN 2076-3425
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/brainsci12030334

From deep brain phenotyping to functional atlasing

Autori: Bertrand Thirion, Alexis Thual, Ana Luísa Pinho
Pubblicato in: Current Opinion in Behavioral Sciences, Vol. 40, 2021, ISSN 2352-1546
Editore: Elsevier Limited
DOI: 10.1016/j.cobeha.2021.05.004

Up and Down States and Memory Consolidation Across Somatosensory, Entorhinal, and Hippocampal Cortices

Autori: John J. Tukker, Prateep Beed, Dietmar Schmitz, Matthew E. Larkum, Robert N. S. Sachdev
Pubblicato in: Frontiers in Systems Neuroscience, Vol. 14, 2020, ISSN 1662-5137
Editore: Frontiers Research Foundation
DOI: 10.3389/fnsys.2020.00022

Increased signal diversity/complexity of spontaneous EEG, but not evoked EEG responses, in ketamine-induced psychedelic state in humans

Autori: Nadine Farnes, Bjørn E. Juel, André S. Nilsen, Luis G. Romundstad, Johan F. Storm
Pubblicato in: PLOS ONE, Numero 15/11, 2020, Pagina/e e0242056, ISSN 1932-6203
Editore: Public Library of Science
DOI: 10.1371/journal.pone.0242056

Attention-Gated Brain Propagation: How the brain can implement reward-based error backpropagation

Autori: Isabella Pozzi, Sander Bohté and Pieter Roelfsema
Pubblicato in: 2020
Editore: NeurIPS foundation

Motivational Modulation of Consummatory Behaviour and Learning in a Robot Model of Spatial Navigation

Autori: Alejandro Jimenez-Rodriguez, Tony J. Prescott
Pubblicato in: 2023
Editore: Springer Nature Switzerland
DOI: 10.1007/978-3-031-39504-8_17

Robustness to Noisy Synaptic Weights in Spiking Neural Networks

Autori: Chen Li, Runze Chen, Christoforos Moutafis, Steve Furber
Pubblicato in: 2020 International Joint Conference on Neural Networks (IJCNN), 2020, Pagina/e 1-8, ISBN 978-1-7281-6926-2
Editore: IEEE
DOI: 10.1109/ijcnn48605.2020.9207019

Translation and Scale Invariance for Event-Based Object tracking

Autori: Jens Egholm Pedersen, Raghav Singhal, Jorg Conradt
Pubblicato in: 2023
Editore: ACM
DOI: 10.1145/3584954.3584996

Learning to predict cutting angles from histological human brain sections

Autori: Christian Schiffer, Luisa Schuhmacher, Katrin Amunts, Timo Dickscheid
Pubblicato in: 2022
Editore: OpenReview

Shared Independent Component Analysis for Multi-Subject Neuroimaging

Autori: Hugo Richard, Pierre Ablin, Bertrand Thirion, Alexandre Gramfort, Aapo Hyvärinen
Pubblicato in: NeurIPS 2021, 2021
Editore: Advances in Neural Information Processing Systems 34 (NeurIPS 2021)

Simple Synthetic Memories of Robotic Touch

Autori: Pablo J. Salazar, Tony J. Prescott
Pubblicato in: 2023
Editore: Springer Nature Switzerland
DOI: 10.1007/978-3-031-38857-6_1

AEStream: Accelerated event-based processing with coroutines

Autori: Jens Egholm Pedersen, Jorg Conradt
Pubblicato in: 2023
Editore: ACM
DOI: 10.1145/3584954.3584997

A flexible column parallel successive-approximation ADC for hybrid neuromorphic computing

Autori: Philipp Dauer, Milena Czierlinski, Sebastian Billaudelle, Andreas Grübl, Johannes Schemmel
Pubblicato in: 2023
Editore: IEEE
DOI: 10.1109/prime58259.2023.10161980

The Yin-Yang dataset

Autori: Laura Kriener, Julian Göltz, Mihai A. Petrovici
Pubblicato in: 2022
Editore: ACM
DOI: 10.1145/3517343.3517380

Event-based dataset for classification and pose estimation

Autori: James Turner, Jens Pedersen, Jörg Conradt, Thomas Nowotny
Pubblicato in: 2022
Editore: ACM
DOI: 10.1145/3517343.3517378

Towards biologically-plausible neuron models and firing rates in high-performance deep spiking neural networks

Autori: Chen Li & Steve Furber
Pubblicato in: 2021
Editore: ACM

Model-Based Nonlinear Control of a Class of Musculoskeletal Systems

Autori: Raphael Stolpe, Yannick Morel
Pubblicato in: 2023
Editore: IEEE
DOI: 10.23919/acc55779.2023.10156647

Porting Deep Spiking Q-Networks to neuromorphic chip Loihi

Autori: Mahmoud Akl, Yulia Sandamirskaya, Florian Walter, Alois Knoll
Pubblicato in: 2021
Editore: ACM
DOI: 10.1145/3477145.3477159

Contrastive Representation Learning For Whole Brain Cytoarchitectonic Mapping In Histological Human Brain Sections

Autori: Christian Schiffer, Katrin Amunts, Stefan Harmeling, Timo Dickscheid
Pubblicato in: 2021
Editore: IEEE

EBRAINS CoCreate: Epidemiology and Non-Invasive Biomarkers to Improve the Understanding of Brain-Related Disorders

Autori: Augusta Bennedbæk Liljendal; Rasmus Mikkelsen; Lars Klüver; Chitaranjan Mahapatra; Igori Comarovschii; Judith Clarke; Silvana Markovska-Simoska; Marta Alvarez Ambrosio; Paola Di Maui; Serhii Tukaiev; Tanja Hasse; Anastasiia Andriievska; Carolina Ciumas
Pubblicato in: 2023
Editore: Zenodo
DOI: 10.5281/zenodo.8340222

Fast volumetric mapping of human brain slices

Autori: Luca Pesce, Annunziatina Laurino, Vladislav Gavryusev, Giacomo Mazzamuto, Giuseppe Sancataldo, Marina Scardigli, Matteo Roffilli, Ludovico Silvestri, Irene Costantini, Francesco Saverio Pavone
Pubblicato in: Neurophotonics, 2020, Pagina/e 10, ISBN 9781510634930
Editore: SPIE
DOI: 10.1117/12.2555644

Characterizing emergent representations in a space of candidate learning rules for deep networks

Autori: Cao Y, Summerfield C, Saxe A.
Pubblicato in: 2020
Editore: https://papers.nips.cc/

Assessing Grasp Quality using Local Sensitivity Analysis

Autori: Michael Zechmair, Yannick Morel
Pubblicato in: 2021
Editore: IEEE
DOI: 10.1109/iros51168.2021.9636021

Aligning individual brains with Fused Unbalanced Gromov-Wasserstein

Autori: Alexis Thual, Huy Tran, Tatiana Zemskova, Nicolas Courty, Rémi Flamary, Stanislas Dehaene, Bertrand Thirion
Pubblicato in: 2022
Editore: NeurIPS Proceedings

5th HBP Student Conference on Interdisciplinary Brain Research

Autori: P. Bogdan, S. Diaz, A. Geminiani, C. Lupascu, J. E. Pedersen, I. Reiten, A. Yegenoglu, HBP Education Programme
Pubblicato in: 2021
Editore: Frontiers Media SA

Burst-Dependent Plasticity and Dendritic Amplification Support Target-Based Learning and Hierarchical Imitation Learning

Autori: Cristiano Capone, Cosimo Lupo, Paolo Muratore, Pier Stanislao Paolucci
Pubblicato in: 2022
Editore: MLResearchPress
DOI: 10.5281/zenodo.7197931

Functional Magnetic Resonance Imaging data augmentation through conditional ICA

Autori: Badr Tajini, Hugo Richard, Bertrand Thirion
Pubblicato in: 2021
Editore: MICCAI

Efficient GPU training of LSNNs using eProp

Autori: James C Knight, Thomas Nowotny
Pubblicato in: 2022
Editore: ACM
DOI: 10.1145/3517343.3517346

Biomorphic control for high-speed robotic applications

Autori: Yannik Stradmann, Johannes Schemmel
Pubblicato in: 2023
Editore: Frontiers Media SA

6th HBP Student Conference on Interdisciplinary Brain Research

Autori: Joana Covelo, Sandra Diaz, Alice Geminiani, Tabea Kirchner, Carmen Lupascu, Paschal Ochang, Taylan Özden, Jens Egholm Pedersen, Ingrid Reiten, Alper Yegenoglu, Alice Geminiani, Manuel Gran, Judith Kathrein, Tabea Kirchner, Paschal Ochang, Franziska Vogel.
Pubblicato in: 2022
Editore: Frontiers Media SA
DOI: 10.3389/978-2-88971-014-0

Latent Equilibrium: A unified learning theory for arbitrarily fast computation with arbitrarily slow neurons

Autori: Paul Haider, Benjamin Ellenberger, Laura Kriener, Jakob Jordan, Walter Senn, Mihai A. Petrovici
Pubblicato in: 2021
Editore: NeurIPS

A Framework for Resolving Motivational Conflict via Attractor Dynamics

Autori: Alejandro Jimenez-Rodriguez, Tony J. Prescott, Robert Schmidt, Stuart Wilson
Pubblicato in: 2020
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-64313-3_19

Versatile Emulation of Spiking Neural Networks on an Accelerated Neuromorphic Substrate

Autori: S. Billaudelle, Y. Stradmann, K. Schreiber, B. Cramer, A. Baumbach, D. Dold, J. Goltz, A. F. Kungl, T. C. Wunderlich, A. Hartel, E. Muller, O. Breitwieser, C. Mauch, M. Kleider, A. Grubl, D. Stockel, C. Pehle, A. Heimbrecht, P. Spilger, G. Kiene, V. Karasenko, W. Senn, M. A. Petrovici, J. Schemmel, K. Meier
Pubblicato in: 2020 IEEE International Symposium on Circuits and Systems (ISCAS), 2020, Pagina/e 1-5, ISBN 978-1-7281-3320-1
Editore: IEEE
DOI: 10.1109/iscas45731.2020.9180741

The Gendered Analog-Digital Divide in Virtual Academia

Autori: K. Grasenick, S. Beranek, A.-S. Godfroy, S. Reidl, P. F. Romero, H. Schiffbänker, J. Stadlbauer, J. Trattnig, A. Wolffram, C. Wächter
Pubblicato in: 2022
Editore: Verlag der Technischen Universität Graz
DOI: 10.3217/978-3-85125-932-2-06

Massively Parallel Robot Simulations with the HBP Neurorobotics Platform

Autori: Florian Walter, Mahmoud Akl, Fabrice O. Morin, Alois Knoll
Pubblicato in: 2021
Editore: embodied-ai.org

Rapid Recognition of Olfactory Scenes with a Portable MOx Sensor System using Hotplate Modulation

Autori: Damien Drix, Nik Dennler, Michael Schmuker
Pubblicato in: 2022
Editore: IEEE
DOI: 10.1109/isoen54820.2022.9789654

Insite: A Pipeline Enabling In-Transit Visualization and Analysis for Neuronal Network Simulations

Autori: Marcel Krüger, Simon Oehrl, Ali C. Demiralp, Sebastian Spreizer, Jens Bruchertseifer, Torsten W. Kuhlen, Tim Gerrits, Benjamin Weyers
Pubblicato in: 2023
Editore: Springer International Publishing
DOI: 10.1007/978-3-031-23220-6_20

Towards in-silico robotic post-stroke rehabilitation for mice

Autori: Lorenzo Vannucci, Maria Pasquini, Cristina Spalletti, Matteo Caleo, Silvestro Micera, Cecilia Laschi, Egidio Falotico
Pubblicato in: 2019 IEEE International Conference on Cyborg and Bionic Systems (CBS), 2019, Pagina/e 123-128, ISBN 978-1-7281-5073-4
Editore: IEEE
DOI: 10.1109/cbs46900.2019.9114483

Reducing the Dimension of the Configuration Space with Self Organizing Neural Networks

Autori: Lea Steffen, Katharina Glueck, Stefan Ulbrich, Arne Roennau, Rudiger Dillmann
Pubblicato in: 2021 6th IEEE International Conference on Advanced Robotics and Mechatronics (ICARM), 2021
Editore: IEEE
DOI: 10.1109/icarm52023.2021.9536145

GORDA: Graph-Based Orientation Distribution Analysis of SLI Scatterometry Patterns of Nerve Fibres

Autori: Esteban Vaca, Miriam Menzel, Katrin Amunts, Markus Axer, Timo Dickscheid
Pubblicato in: 2022
Editore: IEEE
DOI: 10.1109/isbi52829.2022.9761492

Learning a Controller for Soft Robotic Arms and Testing its Generalization to New Observations, Dynamics, and Tasks

Autori: Carlo Alessi, Helmut Hauser, Alessandro Lucantonio, Egidio Falotico
Pubblicato in: 2023
Editore: IEEE
DOI: 10.1109/robosoft55895.2023.10121988

Shared Independent Component Analysis for Multi-Subject Neuroimaging

Autori: Hugo Richard, Pierre Ablin, Bertrand Thirion, Alexandre Gramfort, Aapo Hyvärinen
Pubblicato in: 2021
Editore: n/a

Rapid Inference of Geographical Location with an Event-based Electronic Nose

Autori: Nik Dennler, Damien Drix, Shavika Rastogi, André van Schaik, Michael Schmuker
Pubblicato in: 2022
Editore: ACM
DOI: 10.1145/3517343.3517381

3rd HBP Student Conference On Interdisciplinary Brain Research

Autori: Gabriel Urbain, Sandra Diaz-Pier, Marcelo Armendariz, Guillaume Bellec, Petruţ Bogdan, Andrea Santuy, Alexander van Meegen, Stefan Mittermayr, Theresa Rass
Pubblicato in: 2022
Editore: Frontiers Media SA
DOI: 10.3389/978-2-88963-596-2

Quantum many-body states: A novel neuromorphic application

Autori: Andreas Baumbach, Robert Klassert, Stefanie Czischek, Martin Gärttner, Mihai A. Petrovici
Pubblicato in: 2022
Editore: ACM
DOI: 10.1145/3517343.3517379

Dynamic Multi-objective Scheduling of Microservices in the Cloud

Autori: Hamid Mohammadi Fard, Radu Prodan, Felix Wolf
Pubblicato in: 2020
Editore: IEEE

A Case Study on Providing Immersive Visualization for Neuronal Network Data Using COTS Soft- and Hardware

Autori: Marcel Krüger, Qin Li, Torsten W. Kuhlen, Tim Gerrits
Pubblicato in: 2023
Editore: IEEE
DOI: 10.1109/vrw58643.2023.00050

EBRAINS CoCreate: Improved Investigation of Brain-Related Disorders

Autori: Lars Klüver; Aske Palsberg; Augusta Bennedbaek; Ewa Katarzyna Ratajczak Institute of Psychology, Faculty of Philosophy and Social Sciences, Nicolaus Copernicus University in Toruń ; Igori Comarovschii; João Miguel Alves Ferreira; Stefan Dvoretskii; William Knight; Roopa Kalsank Pai; Betina Elfving; Karen Marie Sandø Ambrosen; Anastasiia Andriievska; Lisa Maria Wu; Tanja Hasse; Bjørn H. Ebdrup
Pubblicato in: 2023
Editore: zenodo
DOI: 10.5281/zenodo.8058795

A High-Throughput Low-Latency Interface Board for SpiNNaker-in-the-loop Real-Time Systems

Autori: Juan Pablo Romero Bermudez, Luis A. Plana, Andrew Rowley, Mikael Hessel, Jens Egholm Pedersen, Steve Furber, Jorg Conradt
Pubblicato in: 2023
Editore: ACM
DOI: 10.1145/3589737.3605969

Comparing SONN Types for Efficient Robot Motion Planning in the Configuration Space

Autori: Lea Steffen, Tobias Weyer, Katharina Glück, Stefan Ulbrich, Arne Roennau, Rudiger Dillmann
Pubblicato in: 2022
Editore: IAS
DOI: 10.48550/arxiv.2203.09914

Easy and efficient spike-based Machine Learning with mlGeNN

Autori: James C Knight, Thomas Nowotny
Pubblicato in: 2023
Editore: ACM
DOI: 10.1145/3584954.3585001

ElastiSim: A Batch-System Simulator for Malleable Workloads

Autori: Taylan Özden, Tim Beringer, Arya Mazaheri, Hamid Mohammadi Fard, Felix Wolf
Pubblicato in: 2022
Editore: ACM
DOI: 10.1145/3545008.3545046

Zero-Shot Visual Numerical Reasoning in Dual-Stream Neural Networks

Autori: Jessica Thompson, Hannah Sheahan, Christopher Summerfield
Pubblicato in: 2023
Editore: Cognitive Computational Neuroscience Society 2023

Demonstrating BrainScaleS-2 Inter-Chip Pulse-Communication using EXTOLL

Autori: Tobias Thommes, Sven Bordukat, Andreas Grübl, Vitali Karasenko, Eric Müller, Johannes Schemmel
Pubblicato in: 2022
Editore: ACM
DOI: 10.1145/3517343.3517376

hxtorch.snn: Machine-learning-inspired Spiking Neural Network Modeling on BrainScaleS-2

Autori: Philipp Spilger, Elias Arnold, Luca Blessing, Christian Mauch, Christian Pehle, Eric Müller, Johannes Schemmel
Pubblicato in: 2023
Editore: ACM
DOI: 10.1145/3584954.3584993

"Learning to count visual objects by combining ""what"" and ""where"" in recurrent memory"

Autori: Jessica Thompson, Hannah Sheahan, Christopher Summerfield
Pubblicato in: 2022
Editore: MIT Press

Reactive Neural Path Planning with Dynamic Obstacle Avoidance in a Condensed Configuration Space

Autori: Lea Steffen, Tobias Weyer, Stefan Ulbrich, Arne Roennau, Rudiger Dillmann
Pubblicato in: 2022
Editore: IEEE

Staged deployment of interactive multi-application HPC workflows

Autori: Wouter Klijn, Sandra Diaz-Pier, Abigail Morrison, Alexander Peyser
Pubblicato in: 2019 International Conference on High Performance Computing & Simulation (HPCS), 2019, Pagina/e 305-311, ISBN 978-1-7281-4484-9
Editore: IEEE
DOI: 10.1109/hpcs48598.2019.9188104

EBRAINS CoCreate on Digital Brain Health - Research and innovation roadmaps with long-term ambitions and visions within brain resilience and disease signatures.

Autori: Francisca Nordfalk, Aske Palsberg, Lars Klüver, Augusta Bennedbæk
Pubblicato in: 2022
Editore: zenodo
DOI: 10.5281/zenodo.7919471

Attentive Decision-making and Dynamic Resetting of Continual Running SRNNs for End-to-End Streaming Keyword Spotting

Autori: Bojian Yin, Qinghai Guo, Federico Corradi, Sander Bohte
Pubblicato in: 2022
Editore: ACM
DOI: 10.1145/3546790.3546795

7th HBP Student Conference on Interdisciplinary Brain Research

Autori: Cano-Astorga, N., Covelo, J., Diaz, S., Fusseis, J., Gran, M., Kathrein, J., Lupascu, C.A., Ochang, P., Özden, T., Pedersen, J.E., Plaza, S., Santarpia, G., Vogel, F., Yegenoglu, A.
Pubblicato in: 2023
Editore: Frontiers Media SA
DOI: 10.3389/978-2-8325-1223-4

Penalty-based Numerical Representation of Rigid Body Interactions with Applications to Simulation of Robotic Grasping

Autori: Michael Zechmair, Yannick Morel
Pubblicato in: 2022
Editore: IEEE
DOI: 10.1109/iceccme55909.2022.9988305

An accurate and flexible analog emulation of AdEx neuron dynamics in silicon

Autori: Sebastian Billaudelle, Johannes Weis, Philipp Dauer, Johannes Schemmel
Pubblicato in: 2022
Editore: IEEE
DOI: 10.1109/icecs202256217.2022.9971058

Uncertainty-Aware Contour Proposal Networks for Cell Segmentation in Multi-Modality High-Resolution Microscopy Images

Autori: Eric Upschulte, Stefan Harmeling, Katrin Amunts, Timo Dickscheid
Pubblicato in: 2022
Editore: OpenReview

Active Inference: The Free Energy Principle in Mind, Brain, and Behavior

Autori: Thomas Parr, Giovanni Pezzulo, Karl J. Friston
Pubblicato in: 2022
Editore: The MIT Press
DOI: 10.7551/mitpress/12441.001.0001

Artificial Intelligence for a Better Future

Autori: Bernd Carsten Stahl
Pubblicato in: SpringerBriefs in Research and Innovation Governance, 2021
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-69978-9

Active Inference. The Free Energy Principle in Mind, Brain, and Behavior

Autori: Thomas Parr, Giovanni Pezzulo, Karl Friston
Pubblicato in: 2022
Editore: MIT Press

Ethics of Artificial Intelligence

Autori: Bernd Carsten Stahl, Doris Schroeder, Rowena Rodrigues
Pubblicato in: 2022
Editore: Springer International Publishing
DOI: 10.1007/978-3-031-17040-9

Brain-Inspired Computing, 4th International Workshop, BrainComp 2019, Cetraro, Italy, July 15–19, 2019, Revised Selected Papers

Autori: Katrin Amunts, Lucio Grandinetti, Thomas Lippert, Nicolai Petkov
Pubblicato in: 2021
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-82427-3

Responsible AI in Africa

Autori: Damian Eke, Kutoma Wakunuma, Simisola Akintoye
Pubblicato in: 2023
Editore: Springer International Publishing
DOI: 10.1007/978-3-031-08215-3

PhD Thesis: From transistors to learning systems:circuits and algorithms for brain-inspired computing

Autori: Sebastian Billaudelle
Pubblicato in: 2022
Editore: -

Master's thesis: From Neural Network Descriptions to Neuromorphic Hardware — A Signal-Flow Graph Compiler Approach

Autori: Philipp Spilger
Pubblicato in: 2021
Editore: n/a

Bachelor's thesis: Real-time Image Classification on Analog Neuromorphic Hardware

Autori: Falk Leonard Ebert
Pubblicato in: 2021
Editore: n/a

Learning to Dream, Dreaming to Learn

Autori: Nicolas Deperrois
Pubblicato in: 2023
Editore: (No formal publisher for a PhD thesis)

Spatiotemporal dynamics of the cerebral cortex: from unconscious brain states towards consciousness

Autori: Alessandra CAMASSA (Phd Student), Mavi Sanchez-Vives (Tutor), Maurizio Mattia (Tutor)
Pubblicato in: 2021
Editore: Universitat de Barcelona. Facultat de Medicina i Ciències de la Salut

Bachelor Thesis: Migration and Enhancement of the Advanced Lab Course on Neuromorphic Computing

Autori: Alexander Nock
Pubblicato in: 2021
Editore: n/a

Master's thesis: Biologically Inspired Learning in Recurrent Spiking Neural Networks on Neuromorphic Hardware

Autori: Elias Arnold
Pubblicato in: 2021
Editore: n/a

Master's Thesis: Inference with Convolutional Neural Networks on Analog Neuromorphic Hardware

Autori: Arne Emmel
Pubblicato in: 2020
Editore: (No formal publisher for Master's Thesis)

Masters thesis: Towards Multi-Compartment Experiments on BrainScaleS-2

Autori: Raphael Stock
Pubblicato in: 2022
Editore: -

PhD thesis: Robust learning algorithms for spiking and rate-based neural networks

Autori: Akos F. Kungl
Pubblicato in: 2020
Editore: (No formal publisher for a PhD thesis)

Mster's thesis: Implementation of Large Scale Neural Networks on the Neuromorphic BrainScaleS-1 System

Autori: Jakob Kaiser
Pubblicato in: 2020
Editore: (No formal publisher for a Master's thesis)

PhD thesis: Natural-gradient learning for spiking neurons

Autori: Elena Kreutzer
Pubblicato in: 2021
Editore: n/a

PhD thesis: Harnessing function from form: towards bio-inspired artificial intelligence in neuronal substrates

Autori: Dominik Dold
Pubblicato in: 2020
Editore: n/a

Master's thesis: Gradient Estimation With Sparse Observations for Analog Neuromorphic Hardware

Autori: Luca Blessing
Pubblicato in: 2023
Editore: -

Mechanisms and modulation of cortical rhythms and complexity

Autori: Almudena BARBERO CASTILLO (Phd Student), Mavi Sanchez-Vives (Tutor)
Pubblicato in: 2020
Editore: Universitat de Barcelona. Facultat de Medicina i Ciències de la Salut

Operating Accelerated Neuromorphic Hardware - A Scalable and Sustainable Approach

Autori: Christian Paul Mauch
Pubblicato in: 2021
Editore: n/a

Learning by Tooling: Novel Neuromorphic Learning Strategies in Reproducible Software Environments

Autori: Oliver Julien Breitwieser
Pubblicato in: 2021
Editore: n/a

Bachelor's thesis: Towards Structured Data Exchange in Distributed Neuromorphic Systems

Autori: Mathis Kunold
Pubblicato in: 2020
Editore: n/a

Quantifying cellular parameters across the murine brain: New practices for integrating and analysing neuroscience data using 3D brain atlases

Autori: Ingvild Bjerke
Pubblicato in: 2021
Editore: University of Oslo

Master Thesis: On-chip calibration and closed-loop experiments on analog neuromorphic hardware

Autori: Aron Leibfried
Pubblicato in: 2021
Editore: n/a

Deep neural networks for large-scale cytoarchitectonic mapping of the human brain

Autori: Christian Schiffer
Pubblicato in: 2022
Editore: Heinrich Heine Universitaet Duesseldorf

Master thesis: The implementation of a dual-mode DAC for an SAR ADC

Autori: Milena Czierlinski
Pubblicato in: 2022
Editore: -

Cortical network dynamics in physiological and pharmacologically induced brain states

Autori: Melody Torao-Angosto (Phd Student), Mavi Sanchez-Vives (Tutor), Gemma Guillazo-Blanch (Tutor)
Pubblicato in: 2020
Editore: Universitat de Barcelona. Facultat de Medicina i Ciències de la Salut

Master's thesis: Input-Induced Dynamical States in Homeostatically Regulated Neuromorphic Recurrent Neural Networks

Autori: Markus Kreft
Pubblicato in: 2021
Editore: n/a

PhD Thesis: Physics of Brain Folding

Autori: Lucas de Queiroz da Costa Campos
Pubblicato in: 2021
Editore: n/a

Master thesis: Analog-to-digital conversion for mixed-signal computing: Components for a successive-approximation ADC

Autori: Philipp Dauer
Pubblicato in: 2022
Editore: -

Deep Learning in Neuronal and Neuromorphic Systems

Autori: Laura Kriener
Pubblicato in: 2023
Editore: (No formal publisher for a PhD thesis)

Bachelor Thesis: PyNN for BrainScaleS-2

Autori: Milena Czierlinski
Pubblicato in: 2020
Editore: (no formal publisher for Bachelor Thesis)

Bachelors’s Thesis : Multi-Single-Chip Training of Spiking Neural Networks with BrainScaleS-2

Autori: Jan Valentin Straub
Pubblicato in: 2023
Editore: -

Master's thesis: Robustness through Plasticity: A Homeostatic Mechanism for Spiking Sampling Networks

Autori: Timo Gierlich
Pubblicato in: 2021
Editore: n/a

Master's Thesis: Inference with Artificial Neural Networks on Neuromorphic Hardware

Autori: Johannes Weis
Pubblicato in: 2020
Editore: (No formal publisher for Master's Thesis)

Reconstruction of the Hippocampus

Autori: Armando Romani, Felix Schürmann, Henry Markram, Michele Migliore
Pubblicato in: 2022
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-89439-9_11

2D Histology Meets 3D Topology: Cytoarchitectonic Brain Mapping with Graph Neural Networks

Autori: Christian Schiffer, Stefan Harmeling, Katrin Amunts, Timo Dickscheid
Pubblicato in: 2021
Editore: Springer
DOI: 10.1007/978-3-030-87237-3_38

Integrating Spiking Neural Networks and Deep Learning Algorithms on the Neurorobotics Platform

Autori: Rachael Stentiford, Thomas C. Knowles, Benedikt Feldotto, Deniz Ergene, Fabrice O. Morin, Martin J. Pearson
Pubblicato in: 2022
Editore: Springer International Publishing
DOI: 10.1007/978-3-031-20470-8_7

Artificial intelligence in the European Union: Policy, ethics and regulation

Autori: Inga Ulnicane
Pubblicato in: The Routledge Handbook of European Integrations, 2022, ISBN 9780429262081
Editore: Routledge
DOI: 10.4324/9780429262081-19

Multi-objective Hybrid Autoscaling of Microservices in Kubernetes Clusters

Autori: Angelina Horn, Hamid Mohammadi Fard, Felix Wolf
Pubblicato in: 2022
Editore: Springer International Publishing
DOI: 10.1007/978-3-031-12597-3_15

Robot Self

Autori: Tony J. Prescott
Pubblicato in: 2021
Editore: Springer Berlin Heidelberg
DOI: 10.1007/978-3-642-41610-1_205-1

Ever-changing Big Science and Research Infrastructures: Evolving European Union policy

Autori: Inga Ulnicane
Pubblicato in: Big Science and Research Infrastructures in Europe, 2020, Pagina/e 76-100, ISBN 9781839100017
Editore: Edward Elgar Publishing
DOI: 10.4337/9781839100017.00010

Fast Reverse Replays of Recent Spatiotemporal Trajectories in a Robotic Hippocampal Model

Autori: Matthew T. Whelan, Tony J. Prescott, Eleni Vasilaki
Pubblicato in: 2020
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-64313-3_37

Anatomy of the temporal lobe: From macro to micro

Autori: Daniel Zachlod, Olga Kedo, Katrin Amunts
Pubblicato in: 2022
Editore: Elsevier
DOI: 10.1016/b978-0-12-823493-8.00009-2

A High-Resolution Model of the Human Entorhinal Cortex in the ‘BigBrain’ – Use Case for Machine Learning and 3D Analyses

Autori: Sabrina Behuet, Sebastian Bludau, Olga Kedo, Christian Schiffer, Timo Dickscheid, Andrea Brandstetter, Philippe Massicotte, Mona Omidyeganeh, Alan Evans, Katrin Amunts
Pubblicato in: 2021
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-82427-3_1

A Case Study on Providing Accessibility-Focused In-Transit Architectures for Neural Network Simulation and Analysis

Autori: Marcel Krüger, Simon Oehrl, Torsten Wolfgang Kuhlen, Tim Gerrits
Pubblicato in: 2023
Editore: Springer Link
DOI: 10.1007/978-3-031-40843-4_21

Accelerating Brain Simulations with the Fast Multipole Method

Autori: Hannah Nöttgen, Fabian Czappa, Felix Wolf
Pubblicato in: 2022
Editore: Springer International Publishing
DOI: 10.1007/978-3-031-12597-3_24

Accelerated Analog Neuromorphic Computing

Autori: Johannes Schemmel, Sebastian Billaudelle, Philipp Dauer, Johannes Weis
Pubblicato in: 2021
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-91741-8_6

Learning Policies for Continuous Control via Transition Models

Autori: Justus Huebotter, Serge Thill, Marcel van Gerven, Pablo Lanillos
Pubblicato in: 2023
Editore: Springer
DOI: 10.1007/978-3-031-28719-0_12

Computing Extracellular Electric Potentials from Neuronal Simulations

Autori: Torbjørn V. Ness, Geir Halnes, Solveig Næss, Klas H. Pettersen, Gaute T. Einevoll
Pubblicato in: 2021
Editore: Springer Nature
DOI: 10.1007/978-3-030-89439-9_8

Inference with Artificial Neural Networks on Analog Neuromorphic Hardware

Autori: Johannes Weis, Philipp Spilger, Sebastian Billaudelle, Yannik Stradmann, Arne Emmel, Eric Müller, Oliver Breitwieser, Andreas Grübl, Joscha Ilmberger, Vitali Karasenko, Mitja Kleider, Christian Mauch, Korbinian Schreiber, Johannes Schemmel
Pubblicato in: IoT Streams for Data-Driven Predictive Maintenance and IoT, Edge, and Mobile for Embedded Machine Learning - Second International Workshop, IoT Streams 2020, and First International Workshop, ITEM 2020, Co-located with ECML/PKDD 2020, Ghent, Belgium, September 14-18, 2020, Revised Selected Papers, Numero 1325, 2020, Pagina/e 201-212, ISBN 978-3-030-66769-6
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-66770-2_15

Reservoirs learn to learn

Autori: Anand Subramoney, Franz Scherr, Wolfgang Maass
Pubblicato in: 2021
Editore: Springer Singapore

Ensemble Kalman Filter Optimizing Deep Neural Networks: An Alternative Approach to Non-performing Gradient Descent

Autori: Alper Yegenoglu, Kai Krajsek, Sandra Diaz Pier, Michael Herty
Pubblicato in: Machine Learning, Optimization, and Data Science - 6th International Conference, LOD 2020, Siena, Italy, July 19–23, 2020, Revised Selected Papers, Part II, Numero 12566, 2020, Pagina/e 78-92, ISBN 978-3-030-64579-3
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-64580-9_7

Usage and Scaling of an Open-Source Spiking Multi-Area Model of Monkey Cortex

Autori: Sacha J. van Albada, Jari Pronold, Alexander van Meegen, Markus Diesmann
Pubblicato in: 2021
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-82427-3_4

Governance of Artificial Intelligence: Emerging international trends and policy frames

Autori: Inga Ulnicane; William Knight; Tonii Leach; Bernd Carsten Stahl; Winter-Gladys Wanjiku
Pubblicato in: 2022
Editore: Chapman and Hall/CRC
DOI: 10.1201/9780429446726-2

Deep Learning-Supported Cytoarchitectonic Mapping of the Human Lateral Geniculate Body in the BigBrain

Autori: Andrea Brandstetter, Najoua Bolakhrif, Christian Schiffer, Timo Dickscheid, Hartmut Mohlberg, Katrin Amunts
Pubblicato in: 2021
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-82427-3_2

Bringing anatomical information into neuronal network models

Autori: van Albada, S. ; Morales-Gregorio, A. ; Bakker, R. ; Palm, G. ; Goulas, A. ; Bludau, S. ; Dickscheid, T. ; Hilgetag, C. C. ; Diesmann, M.
Pubblicato in: 2022
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-89439-9

Some reflections on the neurorights debate

Autori: Arleen Salles
Pubblicato in: 2023
Editore: UNESCO, University of Milan-Bicocca, State University of NY Downstate.

Object-Based Active Inference

Autori: Ruben S. van Bergen, Pablo Lanillos
Pubblicato in: 2023
Editore: Springer
DOI: 10.1007/978-3-031-28719-0_4

An Optimizing Multi-platform Source-to-source Compiler Framework for the NEURON MODeling Language

Autori: Pramod Kumbhar, Omar Awile, Liam Keegan, Jorge Blanco Alonso, James King, Michael Hines, Felix Schürmann
Pubblicato in: 2020
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-50371-0_4

hxtorch: PyTorch for BrainScaleS-2 - Perceptrons on Analog Neuromorphic Hardware

Autori: Philipp Spilger, Eric Müller, Arne Emmel, Aron Leibfried, Christian Mauch, Christian Pehle, Johannes Weis, Oliver Breitwieser, Sebastian Billaudelle, Sebastian Schmitt, Timo C. Wunderlich, Yannik Stradmann, Johannes Schemmel
Pubblicato in: IoT Streams for Data-Driven Predictive Maintenance and IoT, Edge, and Mobile for Embedded Machine Learning - Second International Workshop, IoT Streams 2020, and First International Workshop, ITEM 2020, Co-located with ECML/PKDD 2020, Ghent, Belgium, September 14-18, 2020, Revised Selected Papers, Numero 1325, 2020, Pagina/e 189-200, ISBN 978-3-030-66769-6
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-66770-2_14

WhiskEye: A Biomimetic Model of Multisensory Spatial Memory Based on Sensory Reconstruction

Autori: Thomas C. Knowles, Rachael Stentiford, Martin J. Pearson
Pubblicato in: 2021
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-89177-0_43

Cognitive Architecture as a Service: Scaffolded Integration of Heterogeneous Models Through Event Streams

Autori: Alejandro Jimenez-Rodriguez, Julie Robillard, Tony Prescott
Pubblicato in: 2022
Editore: Springer International Publishing
DOI: 10.1007/978-3-031-20470-8_34

The governance of dual-use research in the EU

Autori: Inga Ulnicane
Pubblicato in: Emerging Security Technologies and EU Governance - Actors, Practices and Processes, 2020, Pagina/e 177-191, ISBN 9780429351846
Editore: Routledge
DOI: 10.4324/9780429351846-12

Politics and policy of Artificial Intelligence

Autori: Inga Ulnicane, Tero Erkkilä
Pubblicato in: Review of Policy Research, Vol. 40, No. 5, 2023, ISSN 1541-132X
Editore: Blackwell Publishing Inc.
DOI: 10.1111/ropr.12574

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