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SYNCH SIGNED

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

Total Cost €

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EC-Contrib. €

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Partnership

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Project "SYNCH" data sheet

The following table provides information about the project.

Coordinator
UNIVERSITA DEGLI STUDI DI PADOVA 

Organization address
address: VIA 8 FEBBRAIO 2
city: PADOVA
postcode: 35122
website: www.unipd.it

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Italy [IT]
 Total cost 4˙277˙868 €
 EC max contribution 4˙149˙612 € (97%)
 Programme 1. H2020-EU.1.2.2. (FET Proactive)
 Code Call H2020-FETPROACT-2018-01
 Funding Scheme RIA
 Starting year 2019
 Duration (year-month-day) from 2019-01-01   to  2022-12-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UNIVERSITA DEGLI STUDI DI PADOVA IT (PADOVA) coordinator 370˙500.00
2    TECHNISCHE UNIVERSITAET DRESDEN DE (DRESDEN) participant 781˙312.00
3    BAR ILAN UNIVERSITY IL (RAMAT GAN) participant 721˙250.00
4    UNIVERSITY OF SOUTHAMPTON UK (SOUTHAMPTON) participant 711˙716.00
5    AICTX AG CH (ZURICH) participant 609˙174.00
6    TECHNISCHE UNIVERSITAET GRAZ AT (GRAZ) participant 582˙785.00
7    ARC INSTRUMENTS LTD UK (SOUTHAMPTON) participant 220˙000.00
8    ENGINSOFT SPA IT (TRENTO) participant 152˙875.00

Map

 Project objective

The brain, with its remarkable computational properties, provides animals with capabilities of physical autonomy, interaction and adaptation that are unmatched by any artificial system. The brain is a complex network that has evolved to optimize processing of real-world inputs by relying on event-based signaling and self-reorganizing connectivity. Spikes (the events) are transmitted between neurons through synapses which undergo continuous ‘birth’-‘death’ and adjustment, reconfiguring brain circuits and adapting processing to ever changing inputs. The scientific and technological objective of the project is to create a hybrid system where a neural network in the brain of a living animal (BNN) and a silicon neural network of spiking neurons on a chip (SNN) are interconnected by neuromorphic synapses, thus enabling co-evolution of connectivity and co-processing of information of the two networks

 Deliverables

List of deliverables.
Algorithm and software prototypes implemented in first CU system Demonstrators, pilots, prototypes 2020-04-02 20:48:46
Preliminary report on mechanisms available for adaptation in neuromorphic HW Documents, reports 2020-04-02 20:48:56
Project web site Websites, patent fillings, videos etc. 2020-04-02 20:48:36

Take a look to the deliverables list in detail:  detailed list of SYNCH deliverables.

 Publications

year authors and title journal last update
List of publications.
2020 Alexantrou Serb, Andrea Corna, Richard George, Ali Khiat, Federico Rocchi, Marco Reato, Marta Maschietto, Christian Mayr, Giacomo Indiveri, Stefano Vassanelli, Themistoklis Prodromakis
Memristive synapses connect brain and silicon spiking neurons
published pages: , ISSN: 2045-2322, DOI: 10.1038/s41598-020-58831-9
Scientific Reports 10/1 2020-03-05
2019 Felix Christian Bauer, Dylan Richard Muir, Giacomo Indiveri
Real-Time Ultra-Low Power ECG Anomaly Detection Using an Event-Driven Neuromorphic Processor
published pages: 1575-1582, ISSN: 1932-4545, DOI: 10.1109/tbcas.2019.2953001
IEEE Transactions on Biomedical Circuits and Systems 13/6 2020-02-13
2019 Guillaume Bellec, Franz Scherr, Elias Hajek, Darjan Salaj, Robert Legenstein, Wolfgang Maass
Biologically inspired alternatives to backpropagation through time for learning in recurrent neural nets
published pages: , ISSN: , DOI:
2020-02-13

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The information about "SYNCH" are provided by the European Opendata Portal: CORDIS opendata.

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