NERVI

From single neurons to visual perception

Coordinatore	INSTITUT NATIONAL DE RECHERCHE EN INFORMATIQUE ET EN AUTOMATIQUE    more Spiacenti, non ci sono informazioni su questo coordinatore. Contattare Fabio per maggiori infomrazioni, grazie.
Nazionalità Coordinatore	France [FR]
Totale costo	1˙706˙839 €
EC contributo	1˙706˙839 €
Programma	FP7-IDEAS-ERC Specific programme: "Ideas" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013)
Code Call	ERC-2008-AdG
Funding Scheme	ERC-AG
Anno di inizio	2009
Periodo (anno-mese-giorno)	2009-01-01   -   2013-12-31

 Partecipanti

#	participant	country	role	EC contrib. [€]
1	INSTITUT NATIONAL DE RECHERCHE EN INFORMATIQUE ET EN AUTOMATIQUE  Organization address address: Domaine de Voluceau, Rocquencourt city: LE CHESNAY Cedex postcode: 78153 contact info Titolo: Dr. Nome: Olivier Dominique Cognome: Faugeras Email: send email Telefono: -92387801 Fax: -92387816	FR (LE CHESNAY Cedex)	hostInstitution	1˙706˙839.00
2	INSTITUT NATIONAL DE RECHERCHE EN INFORMATIQUE ET EN AUTOMATIQUE  Organization address address: Domaine de Voluceau, Rocquencourt city: LE CHESNAY Cedex postcode: 78153 contact info Titolo: Ms. Nome: Frédérique Cognome: Lavirotte Email: send email Telefono: 33492387700 Fax: 33492387955	FR (LE CHESNAY Cedex)	hostInstitution	1˙706˙839.00

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 Obiettivo del progetto (Objective)

'We propose to develop a formal model of information representation and processing in the part of the neocortex that is mostly concerned with visual information. This model will open new horizons in a well-principled way in the fields of artificial and biological vision as well as in computational neuroscience. Specifically the goal is to develop a universally accepted formal framework for describing complex, distributed and hierarchical processes capable of processing seamlessly a continuous flow of images. This framework features notably computational units operating at several spatiotemporal scales on stochastic data arising from natural images. Mean-field theory and stochastic calculus are used to harness the fundamental stochastic nature of the data, functional analysis and bifurcation theory to map the complexity of the behaviours of these assemblies of units. In the absence of such foundations the development of an understanding of visual information processing in man and machines could be greatly hindered. Although the proposal addresses fundamental problems its goal is to serve as the basis for ground-breaking future computational development for managing visual data and as a theoretical framework for a scientific understanding of biological vision.'