BRAINBOW

Linking biological and artificial neuronal assemblies to restore lost brain functions: towards the design of innovative bi-directional neuroprostheses

 Coordinatore FONDAZIONE ISTITUTO ITALIANO DI TECNOLOGIA 

 Organization address address: VIA MOREGO 30
city: GENOVA
postcode: 16163

contact info
Titolo: Mr.
Nome: Gabriele
Cognome: Ballero
Email: send email
Telefono: 3901070000000

 Nazionalità Coordinatore Italy [IT]
 Totale costo 1˙304˙278 €
 EC contributo 997˙107 €
 Programma FP7-ICT
Specific Programme "Cooperation": Information and communication technologies
 Code Call FP7-ICT-2011-C
 Funding Scheme CP
 Anno di inizio 2012
 Periodo (anno-mese-giorno) 2012-02-01   -   2015-01-31

 Partecipanti

# participant  country  role  EC contrib. [€] 
1    FONDAZIONE ISTITUTO ITALIANO DI TECNOLOGIA

 Organization address address: VIA MOREGO 30
city: GENOVA
postcode: 16163

contact info
Titolo: Mr.
Nome: Gabriele
Cognome: Ballero
Email: send email
Telefono: 3901070000000

IT (GENOVA) coordinator 0.00
2    CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE

 Organization address address: Rue Michel -Ange 3
city: PARIS
postcode: 75794

contact info
Titolo: Mr.
Nome: Christophe
Cognome: GIRAUD
Email: send email
Telefono: +33 5 57 35 58 60
Fax: +33 5 57 35 58 01

FR (PARIS) participant 0.00
3    Institut polytechnique de Bordeaux

 Organization address address: AV DU DOCTEUR ALBERT SCHWEITZER 1
city: TALENCE
postcode: 33402

contact info
Titolo: Ms.
Nome: Nathalie
Cognome: DUPONT
Email: send email
Telefono: +33 5 40 00 62 53

FR (TALENCE) participant 0.00
4    TEL AVIV UNIVERSITY

 Organization address address: RAMAT AVIV
city: TEL AVIV
postcode: 69978

contact info
Titolo: Ms.
Nome: Lea
Cognome: Pais
Email: send email
Telefono: 97236408774
Fax: 97236409697

IL (TEL AVIV) participant 0.00
5    UNIVERSITA DEGLI STUDI DI GENOVA

 Organization address address: VIA BALBI 5
city: GENOVA
postcode: 16126

contact info
Titolo: Ms.
Nome: Agatina
Cognome: Fazio
Email: send email
Telefono: 390104000000

IT (GENOVA) participant 0.00
6    UNIVERSITE DE BORDEAUX

 Organization address address: PLACE PEY BERLAND 35
city: BORDEAUX
postcode: 33000

contact info
Titolo: Mr.
Nome: Stéphane
Cognome: MINABERRY
Email: send email
Telefono: +33 5 40 00 66 04
Fax: +33 5 56 80 08 37

FR (BORDEAUX) participant 0.00

Mappa


 Word cloud

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

interfaces    biological    neuroprostheses    diseases    thanks    bmis    performance    perspective    assemblies    restoring    brain    circuits    lost    damaged    schemes    coding    neural    artificial    motor    decoding    neuronal   

 Obiettivo del progetto (Objective)

The possibility to control actions from thoughts is becoming reality thanks to Brain Machine Interfaces (BMIs). However modern BMIs are mostly unidirectional and aimed at restoring lost motor functions. In a wider perspective, neural interfaces must be bi-directional devices that substitute motor, sensory or cognitive circuits within the brain, that might have been damaged as a result of an injury or a disease. The project goes towards this direction: it will provide the knowledge to realize a new class of neuroprostheses aimed at treating those diseases where a portion of brain tissue is damaged (e.g. lesion). The ultimate goal of the project is to connect in vitro neuronal assemblies to an artificial system (a neuromorphic chip) which aims at restoring the lost neuronal functionality, with the long-term perspective to be implanted in humans affected by invalidating brain diseases. This will allow us to reach three main scientific objectives: (i-DECODING) improve the performance of BMIs by investigating optimal decoding schemes to extract useful information by multisite acquisitions from neuronal assemblies; (ii-PROCESSING) provide an artificial link between two previously connected assemblies by designing computational models (sw and hw) which mimic the behavior of the injured part of the network; (iii-CODING) design new strategies by developing stimulation protocols aimed at effectively sending appropriate information to cell assemblies. These goals will be reached by using an engineering approach to neuroscience: a fully controlled and measurable experimental system where the 'biological' neural element will be investigated at different levels of anatomical complexity: from random, unstructured circuits up to the intact brain. Thanks to this approach we will be able to exploit the peculiarity of each biological model to study different coding/decoding schemes in order to optimize the performance of advanced neuroprostheses.

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