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Contenuto archiviato il 2024-06-18

Real neurons-nanoelectronics Architecture with Memristive Plasticity

Descrizione del progetto


FET Proactive: Evolving Living Technologies (EVLIT)

Information processing in classical 'von Neumann' architectures is less efficient compared to biological counterparts when dealing with ill-posed problems and noisy data. The reason is that the biological brain is configured differently and the key is its evolving structure, where connectivity elements between individual neurons, the synapses, undergo 'birth' and 'death' as well as strengthening and weakening through a selection process, reconfiguring neuronal connectivity in a self-organizing manner and allowing the networked population of neuronal processors to adapt motor and behavioural responses to the ever changing environment. Artificial neural networks in the form of software run on conventional 'von Neumann' computers appear incomparable to the biological systems in terms of speed, energy efficiency, adaptability and robustness. The challenge is to propose a 'physical' neural network where elements overcome this deficiency by merging data storage and processing into single electronic devices and by self-organizing and reconfiguring connectivity. Along this route, we aim to create a new biohybrid architecture of natural and artificial neurons endowed with plasticity properties. Communication between artificial and natural worlds will be established through new nano- and microtransducers allowing direct electrical interfacing of a network of neurons in culture to an artificial CMOS-based counterpart. Adaptation properties of the artificial network will rely on memristive nanoelectronic devices with synaptic-like plasticity and on activity-dependent rearrangement of neuronal connectivity. As such, the biohybrid system will provide new and unique adaptive, self-organizing and evolving properties deriving from the fusion of natural and artificial neuronal elements into a new plastic entity and will represent a fundamental step towards the development of novel brain-inspired computing architectures as well as 'intelligent' autonomous systems and prostheses

Invito a presentare proposte

FP7-ICT-2013-10
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Meccanismo di finanziamento

CP - Collaborative project (generic)

Coordinatore

UNIVERSITA DEGLI STUDI DI PADOVA
Contributo UE
€ 362 626,00
Indirizzo
VIA 8 FEBBRAIO 2
35122 Padova
Italia

Mostra sulla mappa

Regione
Nord-Est Veneto Padova
Tipo di attività
Higher or Secondary Education Establishments
Contatto amministrativo
Rosario Rizzuto (Prof.)
Collegamenti
Costo totale
Nessun dato

Partecipanti (5)