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Human Brain Project Specific Grant Agreement 3

Rezultaty

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.

Publikacje

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

Autorzy: 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
Opublikowane w: 2023
Wydawca: Zenodo
DOI: 10.5281/zenodo.8380094

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

Autorzy: Manuel Guerrero
Opublikowane w: 2023
Wydawca: Zenodo
DOI: 10.5281/zenodo.8395701

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

Autorzy: Elias Arnold, Georg Böcherer, Eric Müller, Philipp Spilger, Johannes Schemmel, Stefano Calabrò, Maxim Kuschnerov
Opublikowane w: 2022
Wydawca: arXiv

Fast and Energy-efficient Deep Neuromorphic Learning

Autorzy: Julian Göltz, Laura Kriener, Virginie Sabado and Mihai A. Petrovici
Opublikowane w: 2021
Wydawca: ERCIM EEIG

The BrainScaleS Accelerated Analogue Neuromorphic Architecture

Autorzy: Johannes Schemmel
Opublikowane w: 2021
Wydawca: ERCIM EEIG

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

Autorzy: Grasenick, Karin, Romero, Pilar F., & Salles, Arleen.
Opublikowane w: 2023
Wydawca: Zenodo
DOI: 10.5281/zenodo.7756893

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

Autorzy: Electronic Vision(s)
Opublikowane w: 2021
Wydawca: zenodo

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

Autorzy: 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
Opublikowane w: 2022
Wydawca: ZENODO
DOI: 10.5281/zenodo.6630232

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

Autorzy: Achim Rosemann and Guillermo Vellasco
Opublikowane w: 2021
Wydawca: HBP - HBP Innovation Team

Spiking Neural Network Equalization for IM/DD Optical Communication

Autorzy: Elias Arnold, Georg Böcherer, Eric Müller, Philipp Spilger, Johannes Schemmel , Stefano Calabrò, Maxim Kuschnerov
Opublikowane w: 2022
Wydawca: arXiv

BrainScaleS: Greater Versatility for Neuromorphic Emulation

Autorzy: Andreas Baumbach, Sebastian Billaudelle , Virginie Sabado and Mihai A. Petrovici
Opublikowane w: 2021
Wydawca: ERCIM EEIG

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

Autorzy: Aicardi, Christine; Bitsch, Lise; Datta Burton, Saheli; Evers, Kathinka; Farisco, Michele; Mahfoud, Tara; Rose, Nikolas; Rosemann, Achim; Salles, Arleen; Stahl, Bernd; Ulnicane, Inga
Opublikowane w: 2021
Wydawca: HBP

Uncovering Neuronal Learning Principles through Artificial Evolution

Autorzy: Henrik D. Mettler, Virginie Sabado, Walter Senn, Mihai A. Petrovici and Jakob Jordan
Opublikowane w: 2021
Wydawca: ERCIM EEIG

Building Brains

Autorzy: Steve Furber
Opublikowane w: 2021
Wydawca: ERCIM EEIG

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

Autorzy: 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.
Opublikowane w: 2021
Wydawca: Zenodo
DOI: 10.5281/zenodo.4588601

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

Autorzy: Salles, Arleen; Stahl, Bernd; Bjaalie, Jan; Domingo-Ferrer, Josep; Rose, Nikolas; Rainey, Stephen; Spranger, Tade
Opublikowane w: 2021
Wydawca: Zenodo
DOI: 10.5281/zenodo.4588467

Challenges for Achieving Responsible Data Governance in European Health Data Space

Autorzy: Danish Board of Technology
Opublikowane w: 2023
Wydawca: zenodo
DOI: 10.5281/zenodo.8358373

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

Autorzy: 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;
Opublikowane w: 2023
Wydawca: Zenodo
DOI: 10.5281/zenodo.7736402

Spiking model of the head direction cell system for orientation estimation

Autorzy: Rachael Stentiford, Thomas C. Knowles, Martin J. Pearson
Opublikowane w: 2021
Wydawca: NEST Conference 2021

Social, ethical & reflective work in the Human Brain Project

Autorzy: HBP SP12 and WP9
Opublikowane w: 2021
Wydawca: Human Brain Project

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

Autorzy: 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
Opublikowane w: 2020
Wydawca: Ludwig-Maximilians-Universität München
DOI: 10.12751/nncn.bc2020.0030

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

Autorzy: 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
Opublikowane w: 2022
Wydawca: arXiv

Mixed-Signal Neuromorphic Device HICANN-X

Autorzy: Johannes Schemmel
Opublikowane w: 2021
Wydawca: imec

Paleoanthropology of cognition: an overview on Hominins brain evolution

Autorzy: Jean-Jacques Hublin, Jean-Pierre Changeux
Opublikowane w: Comptes Rendus. Biologies, Vol. 345, No. 2, 2022, ISSN 1768-3238
Wydawca: Cellule MathDoc/CEDRAM
DOI: 10.5802/crbiol.92

Evolving interpretable plasticity for spiking networks

Autorzy: Jakob Jordan, Maximilian Schmidt, Walter Senn, Mihai A Petrovici
Opublikowane w: eLife, Vol. 10, 2021, ISSN 2050-084X
Wydawca: eLife Sciences Publications
DOI: 10.7554/elife.66273

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

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

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

Autorzy: Andrea Vázquez, Narciso López-López, Alexis Sánchez, Josselin Houenou, Cyril Poupon, Jean-François Mangin, Cecilia Hernández, Pamela Guevara
Opublikowane w: NeuroImage, Numer 220, 2020, Strona(/y) 117070, ISSN 1053-8119
Wydawca: Academic Press
DOI: 10.1016/j.neuroimage.2020.117070

Comparison of Artificial and Spiking Neural Networks on Digital Hardware

Autorzy: Simon Davidson, Steve B. Furber
Opublikowane w: Frontiers in Neuroscience, Vol. 15, 2021, ISSN 1662-453X
Wydawca: Frontiers Media SA
DOI: 10.3389/fnins.2021.651141

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

Autorzy: 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
Opublikowane w: Frontiers in Neuroinformatics, Vol. 15, 2021, ISSN 1662-5196
Wydawca: Frontiers Research Foundation
DOI: 10.3389/fninf.2021.630172

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

Autorzy: Johanna Frost Nylén, Ilaria Carannante, Sten Grillner, Jeanette Hellgren Kotaleski
Opublikowane w: European Journal of Neuroscience, Numer 53/7, 2021, Strona(/y) 2135-2148, ISSN 0953-816X
Wydawca: Blackwell Publishing Inc.
DOI: 10.1111/ejn.14854

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

Autorzy: 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
Opublikowane w: PLOS Digital Health, Vol. 1, No. 8, 2022, ISSN 2767-3170
Wydawca: Public Library of Science (PLoS)
DOI: 10.1371/journal.pdig.0000098

Spontaneous neuronal avalanches as a correlate of access consciousness

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

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

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

The Insula: A Stimulating Island of the Brain

Autorzy: Inès Rachidi, Lorella Minotti, Guillaume Martin, Dominique Hoffmann, Julien Bastin, Olivier David, Philippe Kahane
Opublikowane w: Brain Sciences, Vol. 11, No. 11, 2021, ISSN 2076-3425
Wydawca: 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

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

A guide to the BRAIN Initiative Cell Census Network data ecosystem

Autorzy: 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
Opublikowane w: PLOS Biology, Vol. 21, No. 6, 2023, ISSN 1545-7885
Wydawca: Public Library of Science (PLoS)
DOI: 10.1371/journal.pbio.3002133

Exploring the human cerebral cortex using confocal microscopy

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

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

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

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

Autorzy: Diana Casas-Torremocha, Mario Rubio-Teves, Anna Hoerder-Suabedissen, Shuichi Hayashi, Lucía Prensa, Zoltán Molnár, Cesar Porrero, Francisco Clasca
Opublikowane w: The Journal of Neuroscience, 2022, ISSN 0270-6474
Wydawca: 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

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

Cortical propagation tracks functional recovery after stroke

Autorzy: Gloria Cecchini, Alessandro Scaglione, Anna Letizia Allegra Mascaro, Curzio Checcucci, Emilia Conti, Ihusan Adam, Duccio Fanelli, Roberto Livi, Francesco Saverio Pavone, Thomas Kreuz
Opublikowane w: PLOS Computational Biology, Vol. 17, No. 5, 2021, ISSN 1553-7358
Wydawca: 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

Autorzy: 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
Opublikowane w: PLOS Computational Biology, Vol. 17, No. 1, 2021, ISSN 1553-7358
Wydawca: Public Library of Science (PLoS)
DOI: 10.1371/journal.pcbi.1008114

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

Autorzy: 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
Opublikowane w: eLife, Vol. 11, 2022, ISSN 2050-084X
Wydawca: eLife Sciences Publications
DOI: 10.7554/elife.69013

Comprehensive verbal fluency features predict executive function performance

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

Extremely fast pRF mapping for real-time applications

Autorzy: Salil Bhat, Michael Lührs, Rainer Goebel, Mario Senden
Opublikowane w: NeuroImage, Vol. 245, 2021, ISSN 1053-8119
Wydawca: Academic Press
DOI: 10.1016/j.neuroimage.2021.118671

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

Autorzy: Benedikt Feldotto, Fabrice O. Morin, Alois Knoll
Opublikowane w: Frontiers in Neurorobotics, Vol. 16, 2022, ISSN 1662-5218
Wydawca: 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

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

Complex Robotic Manipulation via Graph-Based Hindsight Goal Generation

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

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

Autorzy: Meiqi Niu, Lucija Rapan, Thomas Funck, Seán Froudist-Walsh, Ling Zhao, Karl Zilles, Nicola Palomero-Gallagher
Opublikowane w: NeuroImage, 2021, ISSN 1053-8119
Wydawca: 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

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

The Evolution-Driven Signature of Parkinson’s Disease

Autorzy: Nico J. Diederich, Toshiki Uchihara, Sten Grillner, Christopher G. Goetz
Opublikowane w: Trends in Neurosciences, Vol. 43, No. 7, 2020, ISSN 0166-2236
Wydawca: 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

Autorzy: Hao Yang, Chengyin Ye, Xiaochen Liu, Lingxiu Sun, Anqi Wang, Jing Wang, Nantu Hu, Xiaohua Hu, Olivia Gosseries, Steven Laureys, Haibo Di, Jiqian Fang
Opublikowane w: Frontiers in Integrative Neuroscience, Vol. 15, 2021, ISSN 1662-5145
Wydawca: 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

Autorzy: 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
Opublikowane w: PLOS Biology, Numer 18/4, 2020, Strona(/y) e3000678, ISSN 1545-7885
Wydawca: 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

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

How Active Inference Could Help Revolutionise Robotics

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

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

Autorzy: Francesco Donnarumma, Giovanni Pezzulo
Opublikowane w: Social Sciences & Humanities Open, Vol. 4, No. 1, 2021, ISSN 2590-2911
Wydawca: 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

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

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

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

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

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

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

Autorzy: Solveig Næss, Geir Halnes, Espen Hagen, Donald J. Hagler, Anders M. Dale, Gaute T. Einevoll, Torbjørn V. Ness
Opublikowane w: NeuroImage, Numer 225, 2021, Strona(/y) 117467, ISSN 1053-8119
Wydawca: 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

Autorzy: M. Hashemi, A.N. Vattikonda, V. Sip, M. Guye, F. Bartolomei, M.M. Woodman, V.K. Jirsa
Opublikowane w: NeuroImage, Vol. 217, 2020, ISSN 1053-8119
Wydawca: 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

Autorzy: 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
Opublikowane w: Clinical Neurophysiology, Vol. 131, No. 11, 2020, ISSN 1388-2457
Wydawca: Elsevier BV
DOI: 10.1016/j.clinph.2020.07.015

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

Autorzy: Sarah Genon, Boris C. Bernhardt, Renaud La Joie, Katrin Amunts, Simon B. Eickhoff
Opublikowane w: Trends in Neurosciences, Vol. 44, No. 12, 2021, ISSN 0166-2236
Wydawca: 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

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

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

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

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

Autorzy: Evan S. Lutkenhoff, Micah A. Johnson, Silvia Casarotto, Marcello Massimini, Martin M. Monti
Opublikowane w: Brain Stimulation, Numer 13/5, 2020, Strona(/y) 1426-1435, ISSN 1935-861X
Wydawca: Elsevier BV
DOI: 10.1016/j.brs.2020.07.012

Brain topography beyond parcellations: local gradients of functional maps

Autorzy: Elvis Dohmatob, Hugo Richard, Ana Luísa Pinho, Bertrand Thirion
Opublikowane w: NeuroImage, 2021, ISSN 1053-8119
Wydawca: Academic Press
DOI: 10.1016/j.neuroimage.2020.117706

Cytoarchitecture, probability maps and segregation of the human insula

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

Modulation of cortical slow oscillations and complexity across anesthesia levels

Autorzy: Miguel Dasilva, Alessandra Camassa, Alvaro Navarro-Guzman, Antonio Pazienti, Lorena Perez-Mendez, Gorka Zamora-López, Maurizio Mattia, Maria V. Sanchez-Vives
Opublikowane w: NeuroImage, Numer 224, 2021, Strona(/y) 117415, ISSN 1053-8119
Wydawca: Academic Press
DOI: 10.1016/j.neuroimage.2020.117415

From Coarse to Fine-Grained Parcellation of the Cortical Surface Using a Fiber-Bundle Atlas

Autorzy: Narciso López-López, Andrea Vázquez, Josselin Houenou, Cyril Poupon, Jean-François Mangin, Susana Ladra, Pamela Guevara
Opublikowane w: Frontiers in Neuroinformatics, Numer 14, 2020, ISSN 1662-5196
Wydawca: 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.

Autorzy: 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
Opublikowane w: NeuroImage, 2021, ISSN 1053-8119
Wydawca: Academic Press
DOI: 10.1016/j.neuroimage.2021.118837

Reclaiming saliency: Rhythmic precision-modulated action and perception

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

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

Autorzy: Miriam Menzel, Jan A. Reuter, David Gräßel, Irene Costantini, Katrin Amunts, Markus Axer
Opublikowane w: Scientific Reports, Vol. 12, No. 1, 2022, ISSN 2045-2322
Wydawca: 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

Autorzy: Maria Perez‐Zabalza, Ramon Reig, Jesus Manrique, Daniel Jercog, Milena Winograd, Nestor Parga, Maria V. Sanchez‐Vives
Opublikowane w: The Journal of Physiology, Numer 598/16, 2020, Strona(/y) 3439-3457, ISSN 0022-3751
Wydawca: Blackwell Publishing Inc.
DOI: 10.1113/jp279476

Identifying spatio-temporal seizure propagation patterns in epilepsy using Bayesian inference

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

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

Autorzy: Stefano Masoli, Marialuisa Tognolina, Umberto Laforenza, Francesco Moccia, Egidio D’Angelo
Opublikowane w: Communications Biology, Numer 3/1, 2020, ISSN 2399-3642
Wydawca: 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

Autorzy: Meiqi Niu, Nicola Palomero-Gallagher
Opublikowane w: Brain Structure and Function, 2022, ISSN 1863-2653
Wydawca: Springer Verlag
DOI: 10.1007/s00429-022-02509-7

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

Autorzy: Robin De Schepper, Alice Geminiani, Stefano Masoli, Martina Francesca Rizza, Alberto Antonietti, Claudia Casellato, Egidio D’Angelo
Opublikowane w: Communications Biology, Vol. 5, No. 1, 2022, ISSN 2399-3642
Wydawca: Nature Research
DOI: 10.1038/s42003-022-04213-y

Non-synaptic interactions between olfactory receptor neurons, a possible key feature of odor processing in flies

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

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

Autorzy: Sebastian Halder, Bjørn E Juel, André S Nilsen, Lashmi Venkat Raghavan, Johan F Storm
Opublikowane w: NeuroImage, Numer 226, 2021, Strona(/y) 117566, ISSN 1053-8119
Wydawca: Academic Press
DOI: 10.1016/j.neuroimage.2020.117566

Gell-Mann–Low Criticality in Neural Networks

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

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

Autorzy: Heidi Kleven, Ingvild E. Bjerke, Francisco Clascá, Henk J. Groenewegen, Jan G. Bjaalie, Trygve B. Leergaard
Opublikowane w: Nature methods, 2023, ISSN 1548-7091
Wydawca: 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

Autorzy: Maria Teleńczuk, Bartosz Teleńczuk, Alain Destexhe
Opublikowane w: The Journal of Physiology, Numer 598/18, 2020, Strona(/y) 3957-3972, ISSN 0022-3751
Wydawca: Blackwell Publishing Inc.
DOI: 10.1113/jp279452

Recent progress in molecular simulation methods for drug binding kinetics

Autorzy: Ariane Nunes-Alves, Daria B Kokh, Rebecca C Wade
Opublikowane w: Current Opinion in Structural Biology, Numer 64, 2020, Strona(/y) 126-133, ISSN 0959-440X
Wydawca: Elsevier BV
DOI: 10.1016/j.sbi.2020.06.022

Developing Capabilities for Responsible Research and Innovation (RRI)

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

Entropy, free energy, symmetry and dynamics in the brain

Autorzy: Viktor Jirsa, Hiba Sheheitli
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Frameworks Enabling Ubiquitous Mixed Reality Applications Across Dynamically Adaptable Device Configurations

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BitBrain and Sparse Binary Coincidence (SBC) memories: Fast, robust learning and inference for neuromorphic architectures

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M-current modulation of cortical slow oscillations: Network dynamics and computational modeling

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An explainable artificial intelligence approach to spatial navigation based on hippocampal circuitry

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RateML: A Code Generation Tool for Brain Network Models

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The covariance perceptron: A new paradigm for classification and processing of time series in recurrent neuronal networks

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Editorial: From Structure to Function in Neuronal Networks: Effects of Adaptation, Time-Delays, and Noise

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Experimentation, learning, and dialogue: an RRI-inspired approach to dual-use of concern

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Learning how network structure shapes decision-making for bio-inspired computing

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Learning cortical representations through perturbed and adversarial dreaming

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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

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Reconciling the object and spatial processing views of the perirhinal cortex through task‐relevant unitization

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Scatterometry Measurements With Scattered Light Imaging Enable New Insights Into the Nerve Fiber Architecture of the Brain

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Unimanual sensorimotor learning—A simultaneous EEG‐fMRI aging study

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Method for quantifying arousal and consciousness in healthy states and severe brain injury via EEG-based measures of corticothalamic physiology

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Exploring the social, ethical, legal, and responsibility dimensions of artificial intelligence for health – a new column in Intelligent Medicine

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Event driven bio-inspired attentive system for the iCub humanoid robot on SpiNNaker

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Hippocampal place cells encode global location but not connectivity in a complex space

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Cellular-resolution mapping uncovers spatial adaptive filtering at the rat cerebellum input stage

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Signature of consciousness in brain-wide synchronization patterns of monkey and human fMRI signals

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Accurate online training of dynamical spiking neural networks through Forward Propagation Through Time

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Geosmin suppresses defensive behaviour and elicits unusual neural responses in honey bees

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Anatomy of nerve fiber bundles at micrometer-resolution in the vervet monkey visual system

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Humans account for cognitive costs when finding shortcuts: An information-theoretic analysis of navigation

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Auditory localization should be considered as a sign of minimally conscious state based on multimodal findings

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Of Ethical Frameworks and Neuroethics in Big Neuroscience Projects: A View from the HBP

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EEG Lempel-Ziv complexity varies with sleep stage, but does not seem to track dream experience

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Naturalizing psychopathology—towards a quantitative real-world psychiatry

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DOPAMAP, high-resolution images of dopamine 1 and 2 receptor expression in developing and adult mouse brains

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SynCoPa: Visualizing Connectivity Paths and Synapses Over Detailed Morphologies

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Attention for action in visual working memory

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Decoding Natural Sounds in Early “Visual” Cortex of Congenitally Blind Individuals

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About the compatibility between the perturbational complexity index and the global neuronal workspace theory of consciousness

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Linking interindividual variability in brain structure to behaviour

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Burst control: Synaptic conditions for burst generation in cortical layer 5 pyramidal neurons

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Cerebral electrometabolic coupling in disordered and normal states of consciousness

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Slow waves form expanding, memory-rich mesostates steered by local excitability in fading anesthesia

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Functional parcellation of human and macaque striatum reveals human-specific connectivity in the dorsal caudate

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The effects of the general anesthetic sevoflurane on neurotransmission: an experimental and computational study

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Resting-state networks in the course of aging—differential insights from studies across the lifespan vs. amongst the old

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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

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Sharpness recognition based on synergy between bio-inspired nociceptors and tactile mechanoreceptors

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Toward Cognitive Navigation: Design and Implementation of a Biologically Inspired Head Direction Cell Network

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Demonstrating Analog Inference on the BrainScaleS-2 Mobile System

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Focal lesions induce large-scale percolation of sleep-like intracerebral activity in awake humans

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A Deep Learning-Based Workflow for Dendritic Spine Segmentation

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Pseudonymisation of neuroimages and data protection: Increasing access to data while retaining scientific utility

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A Unified Framework for Neuroscience Morphological Data Visualization

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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

Autorzy: Paola Vitale, Ana Rita Salgueiro-Pereira, Carmen Alina Lupascu, Michael Willem, Rosanna Migliore, Michele Migliore, Hélène Marie
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Identification of pleiotropy at the gene level between psychiatric disorders and related traits

Autorzy: Tatiana Polushina, Niladri Banerjee, Sudheer Giddaluru, Francesco Bettella, Thomas Espeseth, Astri J. Lundervold, Srdjan Djurovic, Sven Cichon, Per Hoffmann, Markus M. Nöthen, Vidar M. Steen, Ole A. Andreassen, Stéphanie Le Hellard
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Extracting representations of cognition across neuroimaging studies improves brain decoding

Autorzy: Arthur Mensch, Julien Mairal, Bertrand Thirion, Gaël Varoquaux
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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

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

Autorzy: 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

Autorzy: 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

Autorzy: Eduarda Susin, Alain Destexhe
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Computational Modeling of Inhibitory Transsynaptic Signaling in Hippocampal and Cortical Neurons Expressing Intrabodies Against Gephyrin

Autorzy: 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

Autorzy: A. Cattani, A. Galluzzi, M. Fecchio, A. Pigorini, M. Mattia, M. Massimini
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Neurophysiological Biomarkers of Persistent Post-concussive Symptoms: A Scoping Review

Autorzy: Sepehr Mortaheb, Maria Maddalena Filippini, Jean-François Kaux, Jitka Annen, Nicolas Lejeune, Géraldine Martens, Maria Antonia Fuentes Calderón, Steven Laureys, Aurore Thibaut
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Conditions for wave trains in spiking neural networks

Autorzy: Johanna Senk, Karolína Korvasová, Jannis Schuecker, Espen Hagen, Tom Tetzlaff, Markus Diesmann, Moritz Helias
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Active inference unifies intentional and conflict-resolution imperatives of motor control

Autorzy: Antonella Maselli, Pablo Lanillos, Giovanni Pezzulo
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Cytoarchitectonic parcellation and functional characterization of four new areas in the caudal parahippocampal cortex

Autorzy: Sophie Stenger, Sebastian Bludau, Hartmut Mohlberg, Katrin Amunts
Opublikowane w: Brain Structure and Function, 2022, ISSN 1863-2653
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Three-Dimensional Synaptic Organization of Layer III of the Human Temporal Neocortex

Autorzy: Nicolás Cano-Astorga, Javier DeFelipe, Lidia Alonso-Nanclares
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A neurophenomenological approach to non-ordinary states of consciousness: hypnosis, meditation, and psychedelics

Autorzy: Christopher Timmermann, Prisca R. Bauer, Olivia Gosseries, Audrey Vanhaudenhuyse, Franz Vollenweider, Steven Laureys, Tania Singer, Elena Antonova, Antoine Lutz
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Attractor competition enriches cortical dynamics during awakening from anesthesia

Autorzy: Núria Tort-Colet, Cristiano Capone, Maria V. Sanchez-Vives, Maurizio Mattia
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Development and validation of an fMRI-informed EEG model of reward-related ventral striatum activation

Autorzy: Neomi Singer, Gilad Poker, Netta Dunsky-Moran, Shlomi Nemni, Shira Reznik Balter, Maayan Doron, Travis Baker, Alain Dagher, Robert J Zatorre, Talma Hendler
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Dynamical Characteristics of Recurrent Neuronal Networks Are Robust Against Low Synaptic Weight Resolution

Autorzy: Stefan Dasbach, Tom Tetzlaff, Markus Diesmann, Johanna Senk
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Ubi-Interact: A modular approach to connecting systems

Autorzy: Sandro Weber, Marian Ludwig, Gudrun Klinker
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A workflow for exploring ligand dissociation from a macromolecule: Efficient random acceleration molecular dynamics simulation and interaction fingerprint analysis of ligand trajectories

Autorzy: Daria B. Kokh, Bernd Doser, Stefan Richter, Fabian Ormersbach, Xingyi Cheng, Rebecca C. Wade
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Validation of a new approach for distinguishing anesthetized from awake state in patients using directed transfer function applied to raw EEG

Autorzy: Bjørn E. Juel, Luis Romundstad, Johan F. Storm, Pål G. Larsson
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Contextual drive of neuronal responses in mouse V1 in the absence of feedforward input

Autorzy: Lisa Kirchberger, Sreedeep Mukherjee, Matthew W. Self, Pieter R. Roelfsema
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Large-scale, cell-resolution volumetric mapping allows layer-specific investigation of human brain cytoarchitecture

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

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

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

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

Autorzy: 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
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Consciousness and complexity: a consilience of evidence

Autorzy: Simone Sarasso, Adenauer Girardi Casali, Silvia Casarotto, Mario Rosanova, Corrado Sinigaglia, Marcello Massimini
Opublikowane w: Neuroscience of Consciousness, 2021, ISSN 2057-2107
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Strong and reliable synaptic communication between pyramidal neurons in adult human cerebral cortex

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

Autorzy: Florian Porrmann, Sarah Pilz, Alessandra Stella, Alexander Kleinjohann, Michael Denker, Jens Hagemeyer, Ulrich Rückert
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The Dynamics of Functional Brain Networks Associated With Depressive Symptoms in a Nonclinical Sample

Autorzy: Sonsoles Alonso Martínez, Gustavo Deco, Gert J. Ter Horst, Joana Cabral
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Revealing Whole-Brain Causality Networks During Guided Visual Searching

Autorzy: Christian M. Kiefer, Junji Ito, Ralph Weidner, Frank Boers, N. Jon Shah, Sonja Grün, Jürgen Dammers
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Tinnitus Perception in Light of a Parietal Operculo–Insular Involvement: A Review

Autorzy: Chloé Jaroszynski, Agnès Job, Maciej Jedynak, Olivier David, Chantal Delon-Martin
Opublikowane w: Brain Sciences, Vol. 12, No. 3, 2022, ISSN 2076-3425
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From deep brain phenotyping to functional atlasing

Autorzy: Bertrand Thirion, Alexis Thual, Ana Luísa Pinho
Opublikowane w: Current Opinion in Behavioral Sciences, Vol. 40, 2021, ISSN 2352-1546
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Up and Down States and Memory Consolidation Across Somatosensory, Entorhinal, and Hippocampal Cortices

Autorzy: John J. Tukker, Prateep Beed, Dietmar Schmitz, Matthew E. Larkum, Robert N. S. Sachdev
Opublikowane w: Frontiers in Systems Neuroscience, Vol. 14, 2020, ISSN 1662-5137
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Increased signal diversity/complexity of spontaneous EEG, but not evoked EEG responses, in ketamine-induced psychedelic state in humans

Autorzy: Nadine Farnes, Bjørn E. Juel, André S. Nilsen, Luis G. Romundstad, Johan F. Storm
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Attention-Gated Brain Propagation: How the brain can implement reward-based error backpropagation

Autorzy: Isabella Pozzi, Sander Bohté and Pieter Roelfsema
Opublikowane w: 2020
Wydawca: NeurIPS foundation

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

Autorzy: Alejandro Jimenez-Rodriguez, Tony J. Prescott
Opublikowane w: 2023
Wydawca: Springer Nature Switzerland
DOI: 10.1007/978-3-031-39504-8_17

Robustness to Noisy Synaptic Weights in Spiking Neural Networks

Autorzy: Chen Li, Runze Chen, Christoforos Moutafis, Steve Furber
Opublikowane w: 2020 International Joint Conference on Neural Networks (IJCNN), 2020, Strona(/y) 1-8, ISBN 978-1-7281-6926-2
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Translation and Scale Invariance for Event-Based Object tracking

Autorzy: Jens Egholm Pedersen, Raghav Singhal, Jorg Conradt
Opublikowane w: 2023
Wydawca: ACM
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Learning to predict cutting angles from histological human brain sections

Autorzy: Christian Schiffer, Luisa Schuhmacher, Katrin Amunts, Timo Dickscheid
Opublikowane w: 2022
Wydawca: OpenReview

Shared Independent Component Analysis for Multi-Subject Neuroimaging

Autorzy: Hugo Richard, Pierre Ablin, Bertrand Thirion, Alexandre Gramfort, Aapo Hyvärinen
Opublikowane w: NeurIPS 2021, 2021
Wydawca: Advances in Neural Information Processing Systems 34 (NeurIPS 2021)

Simple Synthetic Memories of Robotic Touch

Autorzy: Pablo J. Salazar, Tony J. Prescott
Opublikowane w: 2023
Wydawca: Springer Nature Switzerland
DOI: 10.1007/978-3-031-38857-6_1

AEStream: Accelerated event-based processing with coroutines

Autorzy: Jens Egholm Pedersen, Jorg Conradt
Opublikowane w: 2023
Wydawca: ACM
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A flexible column parallel successive-approximation ADC for hybrid neuromorphic computing

Autorzy: Philipp Dauer, Milena Czierlinski, Sebastian Billaudelle, Andreas Grübl, Johannes Schemmel
Opublikowane w: 2023
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DOI: 10.1109/prime58259.2023.10161980

The Yin-Yang dataset

Autorzy: Laura Kriener, Julian Göltz, Mihai A. Petrovici
Opublikowane w: 2022
Wydawca: ACM
DOI: 10.1145/3517343.3517380

Event-based dataset for classification and pose estimation

Autorzy: James Turner, Jens Pedersen, Jörg Conradt, Thomas Nowotny
Opublikowane w: 2022
Wydawca: ACM
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Towards biologically-plausible neuron models and firing rates in high-performance deep spiking neural networks

Autorzy: Chen Li & Steve Furber
Opublikowane w: 2021
Wydawca: ACM

Model-Based Nonlinear Control of a Class of Musculoskeletal Systems

Autorzy: Raphael Stolpe, Yannick Morel
Opublikowane w: 2023
Wydawca: IEEE
DOI: 10.23919/acc55779.2023.10156647

Porting Deep Spiking Q-Networks to neuromorphic chip Loihi

Autorzy: Mahmoud Akl, Yulia Sandamirskaya, Florian Walter, Alois Knoll
Opublikowane w: 2021
Wydawca: ACM
DOI: 10.1145/3477145.3477159

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

Autorzy: Christian Schiffer, Katrin Amunts, Stefan Harmeling, Timo Dickscheid
Opublikowane w: 2021
Wydawca: IEEE

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

Autorzy: 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
Opublikowane w: 2023
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Fast volumetric mapping of human brain slices

Autorzy: Luca Pesce, Annunziatina Laurino, Vladislav Gavryusev, Giacomo Mazzamuto, Giuseppe Sancataldo, Marina Scardigli, Matteo Roffilli, Ludovico Silvestri, Irene Costantini, Francesco Saverio Pavone
Opublikowane w: Neurophotonics, 2020, Strona(/y) 10, ISBN 9781510634930
Wydawca: SPIE
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Characterizing emergent representations in a space of candidate learning rules for deep networks

Autorzy: Cao Y, Summerfield C, Saxe A.
Opublikowane w: 2020
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Assessing Grasp Quality using Local Sensitivity Analysis

Autorzy: Michael Zechmair, Yannick Morel
Opublikowane w: 2021
Wydawca: IEEE
DOI: 10.1109/iros51168.2021.9636021

Aligning individual brains with Fused Unbalanced Gromov-Wasserstein

Autorzy: Alexis Thual, Huy Tran, Tatiana Zemskova, Nicolas Courty, Rémi Flamary, Stanislas Dehaene, Bertrand Thirion
Opublikowane w: 2022
Wydawca: NeurIPS Proceedings

5th HBP Student Conference on Interdisciplinary Brain Research

Autorzy: P. Bogdan, S. Diaz, A. Geminiani, C. Lupascu, J. E. Pedersen, I. Reiten, A. Yegenoglu, HBP Education Programme
Opublikowane w: 2021
Wydawca: Frontiers Media SA

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

Autorzy: Cristiano Capone, Cosimo Lupo, Paolo Muratore, Pier Stanislao Paolucci
Opublikowane w: 2022
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DOI: 10.5281/zenodo.7197931

Functional Magnetic Resonance Imaging data augmentation through conditional ICA

Autorzy: Badr Tajini, Hugo Richard, Bertrand Thirion
Opublikowane w: 2021
Wydawca: MICCAI

Efficient GPU training of LSNNs using eProp

Autorzy: James C Knight, Thomas Nowotny
Opublikowane w: 2022
Wydawca: ACM
DOI: 10.1145/3517343.3517346

Biomorphic control for high-speed robotic applications

Autorzy: Yannik Stradmann, Johannes Schemmel
Opublikowane w: 2023
Wydawca: Frontiers Media SA

6th HBP Student Conference on Interdisciplinary Brain Research

Autorzy: 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.
Opublikowane w: 2022
Wydawca: Frontiers Media SA
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Latent Equilibrium: A unified learning theory for arbitrarily fast computation with arbitrarily slow neurons

Autorzy: Paul Haider, Benjamin Ellenberger, Laura Kriener, Jakob Jordan, Walter Senn, Mihai A. Petrovici
Opublikowane w: 2021
Wydawca: NeurIPS

A Framework for Resolving Motivational Conflict via Attractor Dynamics

Autorzy: Alejandro Jimenez-Rodriguez, Tony J. Prescott, Robert Schmidt, Stuart Wilson
Opublikowane w: 2020
Wydawca: Springer International Publishing
DOI: 10.1007/978-3-030-64313-3_19

Versatile Emulation of Spiking Neural Networks on an Accelerated Neuromorphic Substrate

Autorzy: 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
Opublikowane w: 2020 IEEE International Symposium on Circuits and Systems (ISCAS), 2020, Strona(/y) 1-5, ISBN 978-1-7281-3320-1
Wydawca: IEEE
DOI: 10.1109/iscas45731.2020.9180741

The Gendered Analog-Digital Divide in Virtual Academia

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

Massively Parallel Robot Simulations with the HBP Neurorobotics Platform

Autorzy: Florian Walter, Mahmoud Akl, Fabrice O. Morin, Alois Knoll
Opublikowane w: 2021
Wydawca: embodied-ai.org

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

Autorzy: Damien Drix, Nik Dennler, Michael Schmuker
Opublikowane w: 2022
Wydawca: IEEE
DOI: 10.1109/isoen54820.2022.9789654

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

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

Towards in-silico robotic post-stroke rehabilitation for mice

Autorzy: Lorenzo Vannucci, Maria Pasquini, Cristina Spalletti, Matteo Caleo, Silvestro Micera, Cecilia Laschi, Egidio Falotico
Opublikowane w: 2019 IEEE International Conference on Cyborg and Bionic Systems (CBS), 2019, Strona(/y) 123-128, ISBN 978-1-7281-5073-4
Wydawca: IEEE
DOI: 10.1109/cbs46900.2019.9114483

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

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

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

Autorzy: Esteban Vaca, Miriam Menzel, Katrin Amunts, Markus Axer, Timo Dickscheid
Opublikowane w: 2022
Wydawca: IEEE
DOI: 10.1109/isbi52829.2022.9761492

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

Autorzy: Carlo Alessi, Helmut Hauser, Alessandro Lucantonio, Egidio Falotico
Opublikowane w: 2023
Wydawca: IEEE
DOI: 10.1109/robosoft55895.2023.10121988

Shared Independent Component Analysis for Multi-Subject Neuroimaging

Autorzy: Hugo Richard, Pierre Ablin, Bertrand Thirion, Alexandre Gramfort, Aapo Hyvärinen
Opublikowane w: 2021
Wydawca: n/a

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

Autorzy: Nik Dennler, Damien Drix, Shavika Rastogi, André van Schaik, Michael Schmuker
Opublikowane w: 2022
Wydawca: ACM
DOI: 10.1145/3517343.3517381

3rd HBP Student Conference On Interdisciplinary Brain Research

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

Quantum many-body states: A novel neuromorphic application

Autorzy: Andreas Baumbach, Robert Klassert, Stefanie Czischek, Martin Gärttner, Mihai A. Petrovici
Opublikowane w: 2022
Wydawca: ACM
DOI: 10.1145/3517343.3517379

Dynamic Multi-objective Scheduling of Microservices in the Cloud

Autorzy: Hamid Mohammadi Fard, Radu Prodan, Felix Wolf
Opublikowane w: 2020
Wydawca: IEEE

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

Autorzy: Marcel Krüger, Qin Li, Torsten W. Kuhlen, Tim Gerrits
Opublikowane w: 2023
Wydawca: IEEE
DOI: 10.1109/vrw58643.2023.00050

EBRAINS CoCreate: Improved Investigation of Brain-Related Disorders

Autorzy: 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
Opublikowane w: 2023
Wydawca: zenodo
DOI: 10.5281/zenodo.8058795

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

Autorzy: Juan Pablo Romero Bermudez, Luis A. Plana, Andrew Rowley, Mikael Hessel, Jens Egholm Pedersen, Steve Furber, Jorg Conradt
Opublikowane w: 2023
Wydawca: ACM
DOI: 10.1145/3589737.3605969

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

Autorzy: Lea Steffen, Tobias Weyer, Katharina Glück, Stefan Ulbrich, Arne Roennau, Rudiger Dillmann
Opublikowane w: 2022
Wydawca: IAS
DOI: 10.48550/arxiv.2203.09914

Easy and efficient spike-based Machine Learning with mlGeNN

Autorzy: James C Knight, Thomas Nowotny
Opublikowane w: 2023
Wydawca: ACM
DOI: 10.1145/3584954.3585001

ElastiSim: A Batch-System Simulator for Malleable Workloads

Autorzy: Taylan Özden, Tim Beringer, Arya Mazaheri, Hamid Mohammadi Fard, Felix Wolf
Opublikowane w: 2022
Wydawca: ACM
DOI: 10.1145/3545008.3545046

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

Autorzy: Jessica Thompson, Hannah Sheahan, Christopher Summerfield
Opublikowane w: 2023
Wydawca: Cognitive Computational Neuroscience Society 2023

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

Autorzy: Tobias Thommes, Sven Bordukat, Andreas Grübl, Vitali Karasenko, Eric Müller, Johannes Schemmel
Opublikowane w: 2022
Wydawca: ACM
DOI: 10.1145/3517343.3517376

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

Autorzy: Philipp Spilger, Elias Arnold, Luca Blessing, Christian Mauch, Christian Pehle, Eric Müller, Johannes Schemmel
Opublikowane w: 2023
Wydawca: ACM
DOI: 10.1145/3584954.3584993

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

Autorzy: Jessica Thompson, Hannah Sheahan, Christopher Summerfield
Opublikowane w: 2022
Wydawca: MIT Press

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

Autorzy: Lea Steffen, Tobias Weyer, Stefan Ulbrich, Arne Roennau, Rudiger Dillmann
Opublikowane w: 2022
Wydawca: IEEE

Staged deployment of interactive multi-application HPC workflows

Autorzy: Wouter Klijn, Sandra Diaz-Pier, Abigail Morrison, Alexander Peyser
Opublikowane w: 2019 International Conference on High Performance Computing & Simulation (HPCS), 2019, Strona(/y) 305-311, ISBN 978-1-7281-4484-9
Wydawca: 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.

Autorzy: Francisca Nordfalk, Aske Palsberg, Lars Klüver, Augusta Bennedbæk
Opublikowane w: 2022
Wydawca: zenodo
DOI: 10.5281/zenodo.7919471

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

Autorzy: Bojian Yin, Qinghai Guo, Federico Corradi, Sander Bohte
Opublikowane w: 2022
Wydawca: ACM
DOI: 10.1145/3546790.3546795

7th HBP Student Conference on Interdisciplinary Brain Research

Autorzy: 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.
Opublikowane w: 2023
Wydawca: 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

Autorzy: Michael Zechmair, Yannick Morel
Opublikowane w: 2022
Wydawca: IEEE
DOI: 10.1109/iceccme55909.2022.9988305

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

Autorzy: Sebastian Billaudelle, Johannes Weis, Philipp Dauer, Johannes Schemmel
Opublikowane w: 2022
Wydawca: IEEE
DOI: 10.1109/icecs202256217.2022.9971058

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

Autorzy: Eric Upschulte, Stefan Harmeling, Katrin Amunts, Timo Dickscheid
Opublikowane w: 2022
Wydawca: OpenReview

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

Autorzy: Thomas Parr, Giovanni Pezzulo, Karl J. Friston
Opublikowane w: 2022
Wydawca: The MIT Press
DOI: 10.7551/mitpress/12441.001.0001

Artificial Intelligence for a Better Future

Autorzy: Bernd Carsten Stahl
Opublikowane w: SpringerBriefs in Research and Innovation Governance, 2021
Wydawca: Springer International Publishing
DOI: 10.1007/978-3-030-69978-9

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

Autorzy: Thomas Parr, Giovanni Pezzulo, Karl Friston
Opublikowane w: 2022
Wydawca: MIT Press

Ethics of Artificial Intelligence

Autorzy: Bernd Carsten Stahl, Doris Schroeder, Rowena Rodrigues
Opublikowane w: 2022
Wydawca: 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

Autorzy: Katrin Amunts, Lucio Grandinetti, Thomas Lippert, Nicolai Petkov
Opublikowane w: 2021
Wydawca: Springer International Publishing
DOI: 10.1007/978-3-030-82427-3

Responsible AI in Africa

Autorzy: Damian Eke, Kutoma Wakunuma, Simisola Akintoye
Opublikowane w: 2023
Wydawca: 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

Autorzy: Sebastian Billaudelle
Opublikowane w: 2022
Wydawca: -

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

Autorzy: Philipp Spilger
Opublikowane w: 2021
Wydawca: n/a

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

Autorzy: Falk Leonard Ebert
Opublikowane w: 2021
Wydawca: n/a

Learning to Dream, Dreaming to Learn

Autorzy: Nicolas Deperrois
Opublikowane w: 2023
Wydawca: (No formal publisher for a PhD thesis)

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

Autorzy: Alessandra CAMASSA (Phd Student), Mavi Sanchez-Vives (Tutor), Maurizio Mattia (Tutor)
Opublikowane w: 2021
Wydawca: Universitat de Barcelona. Facultat de Medicina i Ciències de la Salut

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

Autorzy: Alexander Nock
Opublikowane w: 2021
Wydawca: n/a

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

Autorzy: Elias Arnold
Opublikowane w: 2021
Wydawca: n/a

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

Autorzy: Arne Emmel
Opublikowane w: 2020
Wydawca: (No formal publisher for Master's Thesis)

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

Autorzy: Raphael Stock
Opublikowane w: 2022
Wydawca: -

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

Autorzy: Akos F. Kungl
Opublikowane w: 2020
Wydawca: (No formal publisher for a PhD thesis)

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

Autorzy: Jakob Kaiser
Opublikowane w: 2020
Wydawca: (No formal publisher for a Master's thesis)

PhD thesis: Natural-gradient learning for spiking neurons

Autorzy: Elena Kreutzer
Opublikowane w: 2021
Wydawca: n/a

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

Autorzy: Dominik Dold
Opublikowane w: 2020
Wydawca: n/a

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

Autorzy: Luca Blessing
Opublikowane w: 2023
Wydawca: -

Mechanisms and modulation of cortical rhythms and complexity

Autorzy: Almudena BARBERO CASTILLO (Phd Student), Mavi Sanchez-Vives (Tutor)
Opublikowane w: 2020
Wydawca: Universitat de Barcelona. Facultat de Medicina i Ciències de la Salut

Operating Accelerated Neuromorphic Hardware - A Scalable and Sustainable Approach

Autorzy: Christian Paul Mauch
Opublikowane w: 2021
Wydawca: n/a

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

Autorzy: Oliver Julien Breitwieser
Opublikowane w: 2021
Wydawca: n/a

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

Autorzy: Mathis Kunold
Opublikowane w: 2020
Wydawca: n/a

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

Autorzy: Ingvild Bjerke
Opublikowane w: 2021
Wydawca: University of Oslo

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

Autorzy: Aron Leibfried
Opublikowane w: 2021
Wydawca: n/a

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

Autorzy: Christian Schiffer
Opublikowane w: 2022
Wydawca: Heinrich Heine Universitaet Duesseldorf

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

Autorzy: Milena Czierlinski
Opublikowane w: 2022
Wydawca: -

Cortical network dynamics in physiological and pharmacologically induced brain states

Autorzy: Melody Torao-Angosto (Phd Student), Mavi Sanchez-Vives (Tutor), Gemma Guillazo-Blanch (Tutor)
Opublikowane w: 2020
Wydawca: 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

Autorzy: Markus Kreft
Opublikowane w: 2021
Wydawca: n/a

PhD Thesis: Physics of Brain Folding

Autorzy: Lucas de Queiroz da Costa Campos
Opublikowane w: 2021
Wydawca: n/a

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

Autorzy: Philipp Dauer
Opublikowane w: 2022
Wydawca: -

Deep Learning in Neuronal and Neuromorphic Systems

Autorzy: Laura Kriener
Opublikowane w: 2023
Wydawca: (No formal publisher for a PhD thesis)

Bachelor Thesis: PyNN for BrainScaleS-2

Autorzy: Milena Czierlinski
Opublikowane w: 2020
Wydawca: (no formal publisher for Bachelor Thesis)

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

Autorzy: Jan Valentin Straub
Opublikowane w: 2023
Wydawca: -

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

Autorzy: Timo Gierlich
Opublikowane w: 2021
Wydawca: n/a

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

Autorzy: Johannes Weis
Opublikowane w: 2020
Wydawca: (No formal publisher for Master's Thesis)

Reconstruction of the Hippocampus

Autorzy: Armando Romani, Felix Schürmann, Henry Markram, Michele Migliore
Opublikowane w: 2022
Wydawca: Springer International Publishing
DOI: 10.1007/978-3-030-89439-9_11

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

Autorzy: Christian Schiffer, Stefan Harmeling, Katrin Amunts, Timo Dickscheid
Opublikowane w: 2021
Wydawca: Springer
DOI: 10.1007/978-3-030-87237-3_38

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

Autorzy: Rachael Stentiford, Thomas C. Knowles, Benedikt Feldotto, Deniz Ergene, Fabrice O. Morin, Martin J. Pearson
Opublikowane w: 2022
Wydawca: Springer International Publishing
DOI: 10.1007/978-3-031-20470-8_7

Artificial intelligence in the European Union: Policy, ethics and regulation

Autorzy: Inga Ulnicane
Opublikowane w: The Routledge Handbook of European Integrations, 2022, ISBN 9780429262081
Wydawca: Routledge
DOI: 10.4324/9780429262081-19

Multi-objective Hybrid Autoscaling of Microservices in Kubernetes Clusters

Autorzy: Angelina Horn, Hamid Mohammadi Fard, Felix Wolf
Opublikowane w: 2022
Wydawca: Springer International Publishing
DOI: 10.1007/978-3-031-12597-3_15

Robot Self

Autorzy: Tony J. Prescott
Opublikowane w: 2021
Wydawca: Springer Berlin Heidelberg
DOI: 10.1007/978-3-642-41610-1_205-1

Ever-changing Big Science and Research Infrastructures: Evolving European Union policy

Autorzy: Inga Ulnicane
Opublikowane w: Big Science and Research Infrastructures in Europe, 2020, Strona(/y) 76-100, ISBN 9781839100017
Wydawca: Edward Elgar Publishing
DOI: 10.4337/9781839100017.00010

Fast Reverse Replays of Recent Spatiotemporal Trajectories in a Robotic Hippocampal Model

Autorzy: Matthew T. Whelan, Tony J. Prescott, Eleni Vasilaki
Opublikowane w: 2020
Wydawca: Springer International Publishing
DOI: 10.1007/978-3-030-64313-3_37

Anatomy of the temporal lobe: From macro to micro

Autorzy: Daniel Zachlod, Olga Kedo, Katrin Amunts
Opublikowane w: 2022
Wydawca: 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

Autorzy: Sabrina Behuet, Sebastian Bludau, Olga Kedo, Christian Schiffer, Timo Dickscheid, Andrea Brandstetter, Philippe Massicotte, Mona Omidyeganeh, Alan Evans, Katrin Amunts
Opublikowane w: 2021
Wydawca: 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

Autorzy: Marcel Krüger, Simon Oehrl, Torsten Wolfgang Kuhlen, Tim Gerrits
Opublikowane w: 2023
Wydawca: Springer Link
DOI: 10.1007/978-3-031-40843-4_21

Accelerating Brain Simulations with the Fast Multipole Method

Autorzy: Hannah Nöttgen, Fabian Czappa, Felix Wolf
Opublikowane w: 2022
Wydawca: Springer International Publishing
DOI: 10.1007/978-3-031-12597-3_24

Accelerated Analog Neuromorphic Computing

Autorzy: Johannes Schemmel, Sebastian Billaudelle, Philipp Dauer, Johannes Weis
Opublikowane w: 2021
Wydawca: Springer International Publishing
DOI: 10.1007/978-3-030-91741-8_6

Learning Policies for Continuous Control via Transition Models

Autorzy: Justus Huebotter, Serge Thill, Marcel van Gerven, Pablo Lanillos
Opublikowane w: 2023
Wydawca: Springer
DOI: 10.1007/978-3-031-28719-0_12

Computing Extracellular Electric Potentials from Neuronal Simulations

Autorzy: Torbjørn V. Ness, Geir Halnes, Solveig Næss, Klas H. Pettersen, Gaute T. Einevoll
Opublikowane w: 2021
Wydawca: Springer Nature
DOI: 10.1007/978-3-030-89439-9_8

Inference with Artificial Neural Networks on Analog Neuromorphic Hardware

Autorzy: 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
Opublikowane w: 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, Numer 1325, 2020, Strona(/y) 201-212, ISBN 978-3-030-66769-6
Wydawca: Springer International Publishing
DOI: 10.1007/978-3-030-66770-2_15

Reservoirs learn to learn

Autorzy: Anand Subramoney, Franz Scherr, Wolfgang Maass
Opublikowane w: 2021
Wydawca: Springer Singapore

Ensemble Kalman Filter Optimizing Deep Neural Networks: An Alternative Approach to Non-performing Gradient Descent

Autorzy: Alper Yegenoglu, Kai Krajsek, Sandra Diaz Pier, Michael Herty
Opublikowane w: Machine Learning, Optimization, and Data Science - 6th International Conference, LOD 2020, Siena, Italy, July 19–23, 2020, Revised Selected Papers, Part II, Numer 12566, 2020, Strona(/y) 78-92, ISBN 978-3-030-64579-3
Wydawca: 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

Autorzy: Sacha J. van Albada, Jari Pronold, Alexander van Meegen, Markus Diesmann
Opublikowane w: 2021
Wydawca: Springer International Publishing
DOI: 10.1007/978-3-030-82427-3_4

Governance of Artificial Intelligence: Emerging international trends and policy frames

Autorzy: Inga Ulnicane; William Knight; Tonii Leach; Bernd Carsten Stahl; Winter-Gladys Wanjiku
Opublikowane w: 2022
Wydawca: Chapman and Hall/CRC
DOI: 10.1201/9780429446726-2

Deep Learning-Supported Cytoarchitectonic Mapping of the Human Lateral Geniculate Body in the BigBrain

Autorzy: Andrea Brandstetter, Najoua Bolakhrif, Christian Schiffer, Timo Dickscheid, Hartmut Mohlberg, Katrin Amunts
Opublikowane w: 2021
Wydawca: Springer International Publishing
DOI: 10.1007/978-3-030-82427-3_2

Bringing anatomical information into neuronal network models

Autorzy: van Albada, S. ; Morales-Gregorio, A. ; Bakker, R. ; Palm, G. ; Goulas, A. ; Bludau, S. ; Dickscheid, T. ; Hilgetag, C. C. ; Diesmann, M.
Opublikowane w: 2022
Wydawca: Springer International Publishing
DOI: 10.1007/978-3-030-89439-9

Some reflections on the neurorights debate

Autorzy: Arleen Salles
Opublikowane w: 2023
Wydawca: UNESCO, University of Milan-Bicocca, State University of NY Downstate.

Object-Based Active Inference

Autorzy: Ruben S. van Bergen, Pablo Lanillos
Opublikowane w: 2023
Wydawca: Springer
DOI: 10.1007/978-3-031-28719-0_4

An Optimizing Multi-platform Source-to-source Compiler Framework for the NEURON MODeling Language

Autorzy: Pramod Kumbhar, Omar Awile, Liam Keegan, Jorge Blanco Alonso, James King, Michael Hines, Felix Schürmann
Opublikowane w: 2020
Wydawca: Springer International Publishing
DOI: 10.1007/978-3-030-50371-0_4

hxtorch: PyTorch for BrainScaleS-2 - Perceptrons on Analog Neuromorphic Hardware

Autorzy: 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
Opublikowane w: 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, Numer 1325, 2020, Strona(/y) 189-200, ISBN 978-3-030-66769-6
Wydawca: Springer International Publishing
DOI: 10.1007/978-3-030-66770-2_14

WhiskEye: A Biomimetic Model of Multisensory Spatial Memory Based on Sensory Reconstruction

Autorzy: Thomas C. Knowles, Rachael Stentiford, Martin J. Pearson
Opublikowane w: 2021
Wydawca: 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

Autorzy: Alejandro Jimenez-Rodriguez, Julie Robillard, Tony Prescott
Opublikowane w: 2022
Wydawca: Springer International Publishing
DOI: 10.1007/978-3-031-20470-8_34

The governance of dual-use research in the EU

Autorzy: Inga Ulnicane
Opublikowane w: Emerging Security Technologies and EU Governance - Actors, Practices and Processes, 2020, Strona(/y) 177-191, ISBN 9780429351846
Wydawca: Routledge
DOI: 10.4324/9780429351846-12

Politics and policy of Artificial Intelligence

Autorzy: Inga Ulnicane, Tero Erkkilä
Opublikowane w: Review of Policy Research, Vol. 40, No. 5, 2023, ISSN 1541-132X
Wydawca: Blackwell Publishing Inc.
DOI: 10.1111/ropr.12574

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