RAMP

Real neurons-nanoelectronics Architecture with Memristive Plasticity

 Coordinatore UNIVERSITA DEGLI STUDI DI PADOVA 

 Organization address address: Viale Giuseppe Colombo 3
city: Padova
postcode: 35131

contact info
Titolo: Prof.
Nome: Rosario
Cognome: Rizzuto
Email: send email
Telefono: +39 0498275337
Fax: +39 0498275301

 Nazionalità Coordinatore Italy [IT]
 Totale costo 2˙740˙750 €
 EC contributo 2˙068˙000 €
 Programma FP7-ICT
Specific Programme "Cooperation": Information and communication technologies
 Code Call FP7-ICT-2013-10
 Funding Scheme CP
 Anno di inizio 2013
 Periodo (anno-mese-giorno) 2013-11-01   -   2016-10-31

 Partecipanti

# participant  country  role  EC contrib. [€] 
1    UNIVERSITA DEGLI STUDI DI PADOVA

 Organization address address: Viale Giuseppe Colombo 3
city: Padova
postcode: 35131

contact info
Titolo: Prof.
Nome: Rosario
Cognome: Rizzuto
Email: send email
Telefono: +39 0498275337
Fax: +39 0498275301

IT (Padova) coordinator 0.00
2    CONSIGLIO NAZIONALE DELLE RICERCHE

 Organization address address: PIAZZALE ALDO MORO
city: ROMA
postcode: 185

contact info
Titolo: Prof.
Nome: Marco
Cognome: Fanciulli
Email: send email
Telefono: +39 0396036253
Fax: +39 0396881175

IT (ROMA) participant 0.00
3    MAX PLANCK GESELLSCHAFT ZUR FOERDERUNG DER WISSENSCHAFTEN E.V.

 Organization address address: Hofgartenstrasse
city: MUENCHEN
postcode: 80539

contact info
Titolo: Dr.
Nome: Richard
Cognome: Segar
Email: send email
Telefono: +49 711 689 3474
Fax: 4970720000000

DE (MUENCHEN) participant 0.00
4    UNIVERSITAET ZUERICH

 Organization address address: Raemistrasse
city: ZURICH
postcode: 8006

contact info
Titolo: Prof.
Nome: Giacomo
Cognome: Indiveri
Email: send email
Telefono: +41 44 6353024
Fax: +41 44 6353025

CH (ZURICH) participant 0.00
5    UNIVERSITY OF SOUTHAMPTON

 Organization address address: Highfield
city: SOUTHAMPTON
postcode: SO17 1BJ

contact info
Titolo: Mrs.
Nome: Dewi
Cognome: Tan
Email: send email
Telefono: +4423 8059 9435
Fax: 442381000000

UK (SOUTHAMPTON) participant 0.00

Mappa


 Word cloud

Esplora la "nuvola delle parole (Word Cloud) per avere un'idea di massima del progetto.

architectures    network    brain    neurons    von    neuronal    data    evolving    artificial    biohybrid    biological    organizing    self    neural    neumann    reconfiguring    natural    plasticity    connectivity   

 Obiettivo del progetto (Objective)

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

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