RENVISION

Retina-inspired ENcoding for advanced VISION tasks

 Coordinatore FONDAZIONE ISTITUTO ITALIANO DI TECNOLOGIA 

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

contact info
Titolo: Ms.
Nome: Alessandra
Cognome: Gastaldi
Email: send email
Telefono: +39 01071781770

 Nazionalità Coordinatore Italy [IT]
 Totale costo 2˙907˙267 €
 EC contributo 2˙213˙000 €
 Programma FP7-ICT
Specific Programme "Cooperation": Information and communication technologies
 Code Call FP7-ICT-2011-9
 Funding Scheme CP
 Anno di inizio 2013
 Periodo (anno-mese-giorno) 2013-03-01   -   2016-02-29

 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: Ms.
Nome: Alessandra
Cognome: Gastaldi
Email: send email
Telefono: +39 01071781770

IT (GENOVA) coordinator 0.00
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: Mrs.
Nome: Frédérique
Cognome: LAVIROTTE
Email: send email
Telefono: +33 4 92387700
Fax: +33 4 92387955

FR (LE CHESNAY Cedex) participant 0.00
3    THE UNIVERSITY OF EDINBURGH

 Organization address address: OLD COLLEGE, SOUTH BRIDGE
city: EDINBURGH
postcode: EH8 9YL

contact info
Titolo: Mr.
Nome: Gordon
Cognome: Marshall
Email: send email
Telefono: +44 0131651 4386
Fax: +44 0131650 9031

UK (EDINBURGH) participant 0.00
4    UNIVERSITY OF NEWCASTLE UPON TYNE

 Organization address address: Kensington Terrace
city: NEWCASTLE UPON TYNE
postcode: NE1 7RU

contact info
Titolo: Ms.
Nome: Aleona
Cognome: Blinova
Email: send email
Telefono: +44 0191 282 4528

UK (NEWCASTLE UPON TYNE) participant 0.00

Mappa


 Word cloud

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

recognition    retinal    cellular    recent    computer    inner    light    renvision    imaging    computational    sophisticated    temporal    spatio    combined    resolution    technologies    visual    encodes    retina    layers    vision   

 Obiettivo del progetto (Objective)

The retina is a sophisticated distributed processing unit of the central nervous system encoding visual stimuli in a highly parallel, adaptive and computationally efficient way. Recent studies show that rather than being a simple spatiotemporal filter that encodes visual information, the retina performs sophisticated non-linear computations extracting specific spatio-temporal stimulus features in a highly selective manner (e.g. motion selectivity). Understanding the neurobiological principles beyond retinal functionality is essential to develop successful artificial computer vision architectures.RENVISION's goal is, therefore, twofold: i) to achieve a comprehensive understanding of how the retina encodes visual information through the different cellular layers; ii) to use such insights to develop a retina-inspired computational approach to high-level computer vision tasks.

To this aim, exploiting the recent advances in high-resolution light microscopy 3D imaging and high-density multielectrode array technologies, RENVISION will be in an unprecedented position to investigate pan-retinal signal processing at high spatio-temporal resolution, integrating these two technologies in a novel experimental setup. This will allow for simultaneous recording from the entire population of ganglion cells and functional imaging of inner retinal layers at near-cellular resolution, combined with 3D structural imaging of the whole inner retina. The combined analysis of these complex datasets will require the development of novel multimodal analysis methods.

Resting on these neuroscientific and computational grounds, RENVISION will generate new knowledge on retinal processing. It will provide advanced pattern recognition and machine learning technologies to ICTs by shedding a new light on how the output of retinal processing (natural or modelled) allows solving complex vision tasks such as automated scene categorization and human action recognition.

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