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
Fields of science
- medical and health sciencesbasic medicineneurologyparkinson
- medical and health sciencesbasic medicineneurologystroke
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringanalogue electronics
- natural sciencescomputer and information sciencesartificial intelligencecomputational intelligence
- natural scienceschemical sciencesinorganic chemistryinorganic compounds
Programme(s)
Call for proposal
H2020-FETPROACT-2018-01
See other projects for this call
Funding Scheme
RIA - Research and Innovation actionCoordinator
35122 Padova
Italy
Participants (7)
SO17 1BJ Southampton
01069 Dresden
8010 Graz
52900 Ramat Gan
8056 Zurich
SO14 3JF Southampton
38100 Trento