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
- natural sciencescomputer and information sciencesinternet
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringanalogue electronics
- natural sciencesbiological sciencesevolutionary biology
- natural scienceschemical sciencesinorganic chemistrymetalloids
- natural sciencescomputer and information sciencesartificial intelligencecomputational intelligence
Programme(s)
Funding Scheme
RIA - Research and Innovation actionCoordinator
35122 Padova
Italy
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Participants (7)
SO17 1BJ Southampton
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01069 Dresden
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8010 Graz
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52900 Ramat Gan
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8050 Zurich
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
SO14 3JF Southampton
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
38100 Trento
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.