REALNET

Realistic Real-time Networks: computation dynamics in the cerebellum

 Coordinatore FONDAZIONE ISTITUTO NEUROLOGICO NAZIONALE CASIMIRO MONDINO 

 Organization address address: Forlanini 6
city: Pavia
postcode: 27100

contact info
Titolo: Prof.
Nome: Egidio
Cognome: D' Angelo
Email: send email
Telefono: +39 0382 987606
Fax: +39 0382 987527

 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

# participant  country  role  EC contrib. [€] 
1    FONDAZIONE ISTITUTO NEUROLOGICO NAZIONALE CASIMIRO MONDINO

 Organization address address: Forlanini 6
city: Pavia
postcode: 27100

contact info
Titolo: Prof.
Nome: Egidio
Cognome: D' Angelo
Email: send email
Telefono: +39 0382 987606
Fax: +39 0382 987527

IT (Pavia) coordinator 0.00
2    BAR ILAN UNIVERSITY

 Organization address address: BAR ILAN UNIVERSITY CAMPUS
city: RAMAT GAN
postcode: 52900

contact info
Titolo: Dr.
Nome: Isser Israel
Cognome: Peer
Email: send email
Telefono: 97235318404
Fax: 97236353277

IL (RAMAT GAN) participant 0.00
3    POLITECNICO DI MILANO

 Organization address address: PIAZZA LEONARDO DA VINCI
city: MILANO
postcode: 20133

contact info
Titolo: Prof.
Nome: Giuseppe
Cognome: Baselli
Email: send email
Telefono: +39 02 2399 3368
Fax: +39 02 2399 3360

IT (MILANO) participant 0.00
4    TECHNISCHE UNIVERSITAET BERLIN

 Organization address address: STRASSE DES 17 JUNI
city: BERLIN
postcode: 10623

contact info
Titolo: Mr.
Nome: Simone
Cognome: Ludwig
Email: send email
Telefono: +49 30 314 21371
Fax: +49 30 314 21689

DE (BERLIN) participant 0.00
5    THE HEBREW UNIVERSITY OF JERUSALEM

 Organization address address: GIVAT RAM CAMPUS
city: JERUSALEM
postcode: 91904

contact info
Titolo: Ms.
Nome: Jane
Cognome: Turner
Email: send email
Telefono: +972 2 6586676
Fax: +972 2 6513205

IL (JERUSALEM) participant 0.00
6    THE UNIVERSITY OF SHEFFIELD

 Organization address address: FIRTH COURT WESTERN BANK
city: SHEFFIELD
postcode: S10 2TN

contact info
Titolo: Ms.
Nome: Joanne
Cognome: Watson
Email: send email
Telefono: +44 114 222 4754
Fax: +44 114 222 1455

UK (SHEFFIELD) participant 0.00
7    UNIVERSIDAD DE GRANADA

 Organization address address: CUESTA DEL HOSPICIO
city: GRANADA
postcode: 18071

contact info
Titolo: Prof.
Nome: Eduardo
Cognome: Ros
Email: send email
Telefono: +34 958246128
Fax: +34 958248993

ES (GRANADA) participant 0.00
8    UNIVERSITA DEGLI STUDI DI PADOVA

 Organization address address: Via VIII Febbraio
city: PADOVA
postcode: 35122

contact info
Titolo: Prof.
Nome: Raffaele
Cognome: De Caro
Email: send email
Telefono: +39 04 98272327
Fax: +39 04 98272328

IT (PADOVA) participant 0.00

Mappa


 Word cloud

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

cerebellar    signals    neuronal    cerebellum    moreover    recordings    basis    data    realistic    synaptic    computation    network    brain    theoretical    operate    circuit    time    experimental    circuits    networks    functioning    central    neurons   

 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.

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