A SYnaptically connected brain-silicon Neural Closed-loop Hybrid system

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

Algorithms and protocols for MA

Algorithms and protocols for neuromorphic synapses based on memristive array

CU peripheral components and mixed-signal interface characterized by simulation

Fully simulated CU peripheral components and mixed signal interface

Algorithm and software prototypes implemented in first CU system

Algorithms and related software implemented in the first CU prototype and available to consortium

Partially integrated system supporting non-real time neuromorphic synapses

First prototype of partially integrated full system including neuromorphic synapses and operated in non realtime mode

System integrated and tested in vivo

System including implanted interface, memristive array and SNN integrated and tested in vivo in the anaesthetised animal

CU and dedicated accelerators integrated on SoC

CU and dedicated accelerators integrated on system on a chip

SNN system mapping between neuronal signals and behaviour

Mapping algorithms between neuronal signals and animal behaviour

System integrated and electrically tested

Integrated system including CU and peripheral interfaces tested and available to consortium

Report on activity pattern characteristics of VS neurons during learning with deficient DA

Report on electrophysiological activity patterns of ventral striatum neurons in animal model with dopamine deficit

Report on the control of target BNN activity through reward-based learning

Report on the control of target BNN activity through rewardbased learning algorithms using SNN

Report on activity pattern characteristics of VS neurons during learning

Electrophisiological characterisation of VS neurons during animal learning

Report on chip's capacity to restore reinforcement learning in DA depleted rats

Report on the SNN capability to restore reinforcement learning by neuromorphic synapses and electrical stimulation in animal model of dopamine depletion

Report on clustering of in-vivo network states with SNNs

Report on clustering algorithms of invivo BNN network states with SNNs

Preliminary report on mechanisms available for adaptation in neuromorphic HW

Report on first identified mechanisms to achieve unsupervised adaptation in SNN hardware

Ethics roadmap

Roadmap proposal on ethical aspects of AIBrain interfacing particularly in the perspective of therapeutic use

Report on DA depletion induced learning impairment

Report on learning impairment induced in animal by dopamine depletion

Report on unsupervised adaptation of SNNs

Report on mechanisms of unsupervised adaptation implemented in SNN

Ethics workshop

Workshop on ethical aspects of AIBrain interfacing in particular in the perspective of therapeutic use

Project web site

Project website

Pubblicazioni

Quantized rewiring: hardware-aware training of sparse deep neural networks.

Autori: Horst Petschenig, Robert Legenstein
Pubblicato in: Neuromorphic Computing and Engineering, 2023, ISSN 2634-4386
Editore: IOP Publishing Ltd
DOI: 10.1088/2634-4386/accd8f

Disentangling the critical signatures of neural activity.

Autori: Benedetta Mariani, Giorgio Nicoletti, Marta Bisio, Marta Maschietto, Stefano Vassanelli, Samir Suweis
Pubblicato in: Scientific Reports, 2022, ISSN 2045-2322
Editore: Nature Publishing Group
DOI: 10.1038/s41598-022-13686-0

Classification of whisker deflections from evoked responses in the somatosensory barrel cortex with spiking neural networks.

Autori: Horst Petschenig, Marta Bisio, Marta Maschietto, Alessandro Leparulo, Robert Legenstein, Stefano Vassanelli
Pubblicato in: Frontiers in Neuroscience, 2022, ISSN 1662-453X
Editore: Frontiers
DOI: 10.3389/fnins.2022.838054

Technology agnostic frequency characterization methodology for memristors

Autori: Vasileios Manouras, Spyros Stathopoulos, Alex Serb, Themis Prodromakis
Pubblicato in: Scientific Report, 2021, ISSN 2045-2322
Editore: Nature Publishing Group
DOI: 10.1038/s41598-021-00001-6

Bilateral responses of rat ventral striatum tonically active neurons to unilateral medial forebrain bundle stimulation

Autori: Ilana Markovich-Molochnikov and Dana Cohen
Pubblicato in: European Journal of Neuroscience, 2020, ISSN 1460-9568
Editore: Wiley Online Library
DOI: 10.1111/ejn.14939

Spike-frequency adaptation supports network computations on temporally dispersed information

Autori: Darjan Salaj, Anand Subramoney, Ceca Kraisnikovic, Guillaume Bellec, Robert Legenstein, and Wolfgang Maass
Pubblicato in: eLife, 2021, ISSN 2050-084X
Editore: eLife Sciences Publications
DOI: 10.7554/elife.65459

Chemical suppression of harmaline-induced body tremor yields recovery of pairwise neuronal coherence in cerebellar nuclei neurons.

Autori: Yuval Baumel, Hagar G. Yamin, Dana Cohen
Pubblicato in: Frontiers in Systems Neuroscience, 2023, ISSN 1662-5137
Editore: Frontiers Research Foundation
DOI: 10.3389/fnsys.2023.1135799

FPGA Design Integration of a 32-Microelectrodes Low-Latency Spike Detector in a Commercial System for Intracortical Recordings

Autori: Tambaro Mattia, Bisio Marta, Maschietto Marta, Leparulo Alessandro, Vassanelli Stefano
Pubblicato in: Digital, 2021, ISSN 2673-6470
Editore: MDPI
DOI: 10.3390/digital1010003

Power Minimization in Neural Recording ΔΣ Modulators by Adaptive Back-Gate Voltage Tuning.

Autori: Franz Marcus Schüffny, Sebastian Höppner, Stefan Hänzsche, Richard Miru George, Seyed Mohammad Ali Zeinolabedin, Christian Mayr
Pubblicato in: IEEE Solid-State Circuits Letters, 2023, ISSN 2573-9603
Editore: IEEE
DOI: 10.1109/lssc.2023.3270243

Conduction mechanism of Co-doped ZnO transparent memristive devices

Autori: Firman Mangasa Simanjuntak, Sridhar Chandrasekaran, Om Kumar Prasad, Femiana Gapsari, Themis Prodromakis, Tseung-Yuen Tseng
Pubblicato in: IOP Conference Series: Materials Science and Engineering, 2021, ISSN 1757-899X
Editore: IOP Publishing
DOI: 10.1088/1757-899x/1034/1/012139

NeuroPack: An Algorithm-Level Python-Based Simulator for Memristor-Empowered Neuro-Inspired Computing.

Autori: Jinqi Huang, Spyros Stathopoulos, Alexantrou Serb, Themis Prodromakis
Pubblicato in: Frontiers in Nanotechnology, 2022, ISSN 2673-3013
Editore: Frontiers
DOI: 10.3389/fnano.2022.851856

Plasticity and Adaptation in Neuromorphic Biohybrid Systems

Autori: Richard George, Michela Chiappalone, Michele Giugliano, Timothée Levi, Stefano Vassanelli, Johannes Partzsch, Christian Mayr
Pubblicato in: iScience, 2020, ISSN 2589-0042
Editore: ScienceDirect Elsevier
DOI: 10.1016/j.isci.2020.101589

Band tailoring by annealing and current conduction of Co-doped ZnO transparent resistive switching memory

Autori: Debashis Panda, Firman Mangasa Simanjuntak, Alaka Pradhan, Femiana Gapsari, Themis Prodromakis
Pubblicato in: IOP Conference Series: Materials Science and Engineering, 2021, ISSN 1757-899X
Editore: IOP Publishing
DOI: 10.1088/1757-899x/1034/1/012140

Interfacing biology and electronics with memristive materials

Autori: Ioulia Tzouvadaki, Paschalis Gkoupidenis, Stefano Vassanelli, Shiwei Wang, Themis Prodromakis
Pubblicato in: Advanced Materials, 2023, ISSN 1521-4095
Editore: Wiley-VCH GmbH
DOI: 10.1002/adma.202210035

Low-power electronic technologies for harsh radiation environments

Autori: Jeffrey Prinzie, Firman Mangasa Simanjuntak, Paul Leroux & Themis Prodromakis
Pubblicato in: Nature Electronics, 2021, ISSN 2520-1131
Editore: Springer Nature
DOI: 10.1038/s41928-021-00562-4

Negative effect of cations out-diffusion and auto-doping on switching mechanisms of transparent memristor devices employing ZnO/ITO heterostructure

Autori: Firman Mangasa Simanjuntak, Sridhar Chandrasekaran, Debashis Panda, Sailesh Rajasekaran, Cut Rullyani, Govindasamy Madhaiyan, Themistoklis Prodromakis, Tseung-Yuen Tseng
Pubblicato in: Applied Physics Letters, 2021, ISSN 0003-6951
Editore: American Institute of Physics
DOI: 10.1063/5.0047036

Neuronal Avalanches Across the Rat Somatosensory Barrel Cortex and the Effect of Single Whisker Stimulation

Autori: Mariani Benedetta, Nicoletti Giorgio, Bisio Marta, Maschietto Marta, Oboe Roberto, Leparulo Alessandro, Suweis Samir, Vassanelli Stefano
Pubblicato in: Frontiers in Systems Neuroscience, 2021, ISSN 1662-5137
Editore: Frontiers Research Foundation
DOI: 10.3389/fnsys.2021.709677

Real-Time Ultra-Low Power ECG Anomaly Detection Using an Event-Driven Neuromorphic Processor

Autori: Felix Christian Bauer, Dylan Richard Muir, Giacomo Indiveri
Pubblicato in: IEEE Transactions on Biomedical Circuits and Systems, Numero 13/6, 2019, Pagina/e 1575-1582, ISSN 1932-4545
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tbcas.2019.2953001

Memristive synapses connect brain and silicon spiking neurons

Autori: Alexantrou Serb, Andrea Corna, Richard George, Ali Khiat, Federico Rocchi, Marco Reato, Marta Maschietto, Christian Mayr, Giacomo Indiveri, Stefano Vassanelli, Themistoklis Prodromakis
Pubblicato in: Scientific Reports, Numero 10/1, 2020, ISSN 2045-2322
Editore: Nature Publishing Group
DOI: 10.1038/s41598-020-58831-9

Selectively biased tri-terminal vertically-integrated memristor configuration.

Autori: Vasileios Manouras, Spyros Stathopoulos, Alex Serb, Themis Prodromakis
Pubblicato in: Scientific Reports, 2022, ISSN 2045-2322
Editore: Nature Publishing Group
DOI: 10.1038/s41598-022-14462-w

A solution to the learning dilemma for recurrent networks of spiking neurons

Autori: G. Bellec, F. Scherr, A. Subramoney, E. Hajek, D. Salaj, R. Legenstein, and W. Maass
Pubblicato in: Nature Communications, 2020, ISSN 2041-1723
Editore: Nature Publishing Group
DOI: 10.1038/s41467-020-17236-y

Transformation of digital to analog switching in TaOx-based memristor device for neuromorphic applications

Autori: Aftab Saleem, Firman Mangasa Simanjuntak, Sridhar Chandrasekaran, Sailesh Rajasekaran, Tseung-Yuen Tseng & Themis Prodromakis
Pubblicato in: Applied Physics Letters, 2021, ISSN 0003-6951
Editore: American Institute of Physics
DOI: 10.1063/5.0041808

ZrOX insertion layer enhanced switching and synaptic performances of TiOX-based memristive devices

Autori: Lung-Yu Chang, Firman Mangasa Simanjuntak, Femiana Gapsari, Themis Prodromakis, Tseung-Yuen Tseng
Pubblicato in: IOP Conference Series: Materials Science and Engineering, 2021, ISSN 1757-899X
Editore: IOP Publishing
DOI: 10.1088/1757-899x/1034/1/012142

Understanding the Effects of Anesthesia on Cortical Electrophysiological Recordings: A Scoping Review

Autori: Sorrenti Vincenzo, Cecchetto Claudia, Maschietto Marta, Fortinguerra Stefano, Buriani Alessandro, Vassanelli Stefano
Pubblicato in: International Journal of Molecular Sciences, 2021, ISSN 1422-0067
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/ijms22031286

Cerebellar nuclei neurons display aberrant oscillations during harmaline-induced tremor

Autori: Yuval Baumel, Hagar G. Yamin and Dana Cohen
Pubblicato in: Heliyon, 2021, ISSN 2405-8440
Editore: ScienceDirect Elsevier
DOI: 10.1016/j.heliyon.2021.e08119

Conduction channel configuration controlled digital and analog response in TiO2-based inorganic memristive artificial synapses

Autori: Firman Mangasa Simanjuntak, Chun-Ling Hsu, Thomas Abbey, Lung-Yu Chang, Sailesh Rajasekaran, Themis Prodromakis & Tseung-Yuen Tseng
Pubblicato in: APL Materials, 2021, ISSN 2166-532X
Editore: AIP
DOI: 10.1063/5.0067302

Supervised training of spiking neural networks for robust deployment on mixed-signal neuromorphic processors

Autori: Julian Büchel, Dmitrii Zendrikov, Sergio Solinas, Giacomo Indiveri & Dylan R. Muir
Pubblicato in: Scientific Reports, 2021, ISSN 2045-2322
Editore: Nature Publishing Group
DOI: 10.1038/s41598-021-02779-x

Multidimensional encoding of movement and contextual variables by rat globus pallidus neurons during a novel environment exposure task

Autori: Noam D. Peer, Hagar G. Yamin and Dana Cohen
Pubblicato in: iScience, 2021, ISSN 2589-0042
Editore: Cell Press Elsevier Inc.
DOI: 10.1016/j.isci.2022.105024

Age-dependent degradation of locomotion encoding in Huntington’s disease R6/2 model mice

Autori: Hagar G. Yamin, Noa Menkes-Caspi, Edward A. Stern, Dana Cohen
Pubblicato in: Journal of Huntington's Disease, 2021, ISSN 1879-6397
Editore: IOS Press
DOI: 10.3233/jhd-210492

A 16-Channel Fully Configurable Neural SoC with 1.52W/Ch Signal Acquisition, 2.79W/Ch Real-time Spike Classifier, and 1.79 TOPS/W Deep Neural Network Accelerator in 22nm FDSOI

Autori: Seyed Mohammad Ali Zeinolabedin, Franz Marcus Schuffny, Richard George, Florian Kelber, Heiner Bauer, Stefan Scholze, Stefan Hanzsche, Marco Stolba, Andreas Dixius, Georg Ellguth, Dennis Walter, Sebastian Hoeppner, Christian Mayr
Pubblicato in: IEEE Transactions on Biomedical Circuits and Systems, 2022, ISSN 1932-4545
Editore: IEEE
DOI: 10.1109/tbcas.2022.3142987

A 64-channel back-gate adapted ultra-low-voltage spike-aware neural recording front-end with on-chip lossless/near-lossless compression engine and 3.3V stimulator in 22nm FDSOI.

Autori: Franz Marcus Schüffny, Seyed Mohammad Ali Zeinolabedin, Richard George, Liyuan Guo, Annika Weiße, Johannes Uhlig, Julian Meyer, Andreas Dixius, Stefan Hänzsche, Marc Berthel, Stefan Scholz, Sebastian Höppner, Christian Mayr
Pubblicato in: 2022 IEEE Asian Solid-State Circuits Conference (A-SSCC), 2022, ISBN 978-1-6654-7143-5
Editore: IEEE
DOI: 10.1109/a-sscc56115.2022.9980793

Fault pruning: Robust training of neural networks with memristive weights.

Autori: Ceca Kraisnikovic, Spyros Stathopoulos, Themis Prodromakis, Robert Legenstein
Pubblicato in: Unconventional Computation and Natural Computation. UCNC 2023. Lecture Notes in Computer Science, 2023, ISBN 978-3-031-34033-8
Editore: Springer, Cham
DOI: 10.1007/978-3-031-34034-5_9

Spike-based symbolic computations on bit strings and numbers

Autori: Ceca Kraisnikovic, Wolfgang Maass, and Robert Legenstein
Pubblicato in: bioRxiv, 2021
Editore: Cold Spring Harbor Laboratory
DOI: 10.1101/2021.07.14.452347

Spike-frequency adaptation provides a long short-term memory to networks of spiking neurons

Autori: Salaj, Darjan; Subramoney, Anand; Kraisnikovic, Ceca; Bellec, Guillaume; Legenstein, Robert; Maass, Wolfgang
Pubblicato in: bioRxiv, Numero 2, 2021
Editore: Cold Spring Harbor Laboratories
DOI: 10.1101/2020.05.11.081513

Practical Approach to Induce Analog Switching Behavior in Memristive Devices: Digital-to-Analog Transformation

Autori: Firman Mangasa Simanjuntak, Sridhar Chandrasekaran, Debashis Panda, Aftab Saleem and Themis Prodromakis
Pubblicato in: IntechOpen, 2021, ISBN 978-1-83968-957-4
Editore: IntechOpen
DOI: 10.5772/intechopen.98607

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