Explore the words cloud of the SYNCH project. It provides you a very rough idea of what is the project "SYNCH" about.
The following table provides information about the project.
UNIVERSITA DEGLI STUDI DI PADOVA
|Coordinator Country||Italy [IT]|
|Total cost||4˙277˙868 €|
|EC max contribution||4˙149˙612 € (97%)|
1. H2020-EU.1.2.2. (FET Proactive)
|Duration (year-month-day)||from 2019-01-01 to 2022-12-31|
Take a look of project's partnership.
|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|
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
|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.
|year||authors and title||journal||last update|
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|
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|
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:
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The information about "SYNCH" are provided by the European Opendata Portal: CORDIS opendata.