REALNET
Realistic Real-time Networks: computation dynamics in the cerebellum
| Coordinatore | FONDAZIONE ISTITUTO NEUROLOGICO NAZIONALE CASIMIRO MONDINO
Organization address
address: Forlanini 6 contact info |
| Nazionalità Coordinatore | Italy [IT] |
| Totale costo | 3˙107˙453 € |
| EC contributo | 2˙390˙000 € |
| Programma | FP7-ICT
Specific Programme "Cooperation": Information and communication technologies |
| Code Call | FP7-ICT-2009-6 |
| Funding Scheme | CP |
| Anno di inizio | 2011 |
| Periodo (anno-mese-giorno) | 2011-02-01 - 2014-07-31 |
Partecipanti
| # | ||||
|---|---|---|---|---|
| 1 |
FONDAZIONE ISTITUTO NEUROLOGICO NAZIONALE CASIMIRO MONDINO
Organization address
address: Forlanini 6 contact info |
IT (Pavia) | coordinator | 0.00 |
| 2 |
BAR ILAN UNIVERSITY
Organization address
address: BAR ILAN UNIVERSITY CAMPUS contact info |
IL (RAMAT GAN) | participant | 0.00 |
| 3 |
POLITECNICO DI MILANO
Organization address
address: PIAZZA LEONARDO DA VINCI contact info |
IT (MILANO) | participant | 0.00 |
| 4 |
TECHNISCHE UNIVERSITAET BERLIN
Organization address
address: STRASSE DES 17 JUNI contact info |
DE (BERLIN) | participant | 0.00 |
| 5 |
THE HEBREW UNIVERSITY OF JERUSALEM
Organization address
address: GIVAT RAM CAMPUS contact info |
IL (JERUSALEM) | participant | 0.00 |
| 6 |
THE UNIVERSITY OF SHEFFIELD
Organization address
address: FIRTH COURT WESTERN BANK contact info |
UK (SHEFFIELD) | participant | 0.00 |
| 7 |
UNIVERSIDAD DE GRANADA
Organization address
address: CUESTA DEL HOSPICIO contact info |
ES (GRANADA) | participant | 0.00 |
| 8 |
UNIVERSITA DEGLI STUDI DI PADOVA
Organization address
address: Via VIII Febbraio contact info |
IT (PADOVA) | participant | 0.00 |
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Obiettivo del progetto (Objective)
The brain circuits of the central nervous system are formed by neurons and synapses endowed with complex dynamical properties. However, the traditional architectures of computational systems, like artificial neuronal networks, are based on connectivity rules while making use of very simplified neurons. Moreover while brain circuits operate through discontinuous signal called spikes organized in complex sequences, theoretical analysis usually deals with continuous signals. To understand circuit computations a different approach is needed: to elaborate realistic spiking networks and use them, together with experimental recordings of network activity, to investigate the theoretical basis of central network computation. As a benchmark we will use the cerebellar circuit. The cerebellum is supposed to compare expected and actual activity patterns and to reveal their congruence with respect to stored memories. By these means, the cerebellum takes part to control loops regulating movement and cognition. Experimental evidence has revealed that cerebellar circuits can dynamically regulate their activity on the millisecond time scale and operate complex spatio-temporal transformation of signals through non-linear neuronal responses. Moreover, synaptic connections can be fine-tuned by distributed forms of synaptic plasticity, the correlate of memory in neural circuits. In this project, we will develop specific chips and imaging techniques to perform neurophysiological recordings from multiple neurons in the cerebellar network. Based on the data, we will develop the first realistic real-time model of the cerebellum and connect it to robotic systems to evaluate circuit functioning under closed-loop conditions. The data deriving from recordings, large-scale simulations and robots will be used to explain circuit functioning through the 'adaptable filter theory'. REALNET will thus provide a radically new view on computation in central brain circuits laying the basis for new technological applications in sensori-motor control and cognitive systems.