Descripción del proyecto FET Proactive: Neuro-Bio-Inspired Systems (NBIS) Mostrar el objetivo del proyecto Ocultar el objetivo del proyecto 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. Ámbito científico natural sciencesbiological sciencesneurobiologynatural sciencescomputer and information sciencesartificial intelligencecomputer visionmedical and health sciencesclinical medicineophthalmologynatural sciencescomputer and information sciencesartificial intelligencepattern recognitionnatural sciencescomputer and information sciencesartificial intelligencemachine learning Programa(s) FP7-ICT - Specific Programme "Cooperation": Information and communication technologies Tema(s) ICT-2011.9.11 - FET Proactive: Neuro-Bio-Inspired Systems (NBIS) Convocatoria de propuestas FP7-ICT-2011-9 Consulte otros proyectos de esta convocatoria Régimen de financiación CP - Collaborative project (generic) Coordinador FONDAZIONE ISTITUTO ITALIANO DI TECNOLOGIA Aportación de la UE € 1 152 209,00 Dirección VIA MOREGO 30 16163 Genova Italia Ver en el mapa Región Nord-Ovest Liguria Genova Tipo de actividad Research Organisations Contacto administrativo Alessandra Gastaldi (Ms.) Enlaces Contactar con la organización Opens in new window Sitio web Opens in new window Coste total Sin datos Participantes (3) Ordenar alfabéticamente Ordenar por aportación de la UE Ampliar todo Contraer todo INSTITUT NATIONAL DE RECHERCHE EN INFORMATIQUE ET AUTOMATIQUE Francia Aportación de la UE € 355 235,00 Dirección DOMAINE DE VOLUCEAU ROCQUENCOURT 78153 Le Chesnay Cedex Ver en el mapa Región Ile-de-France Ile-de-France Yvelines Tipo de actividad Research Organisations Contacto administrativo Frédérique LAVIROTTE (Mrs.) Enlaces Contactar con la organización Opens in new window Sitio web Opens in new window Coste total Sin datos THE UNIVERSITY OF EDINBURGH Reino Unido Aportación de la UE € 330 558,00 Dirección OLD COLLEGE, SOUTH BRIDGE EH8 9YL Edinburgh Ver en el mapa Región Scotland Eastern Scotland Edinburgh Tipo de actividad Higher or Secondary Education Establishments Contacto administrativo Gordon Marshall (Mr.) Enlaces Contactar con la organización Opens in new window Sitio web Opens in new window Coste total Sin datos UNIVERSITY OF NEWCASTLE UPON TYNE Reino Unido Aportación de la UE € 374 998,00 Dirección KINGS GATE NE1 7RU Newcastle Upon Tyne Ver en el mapa Región North East (England) Northumberland and Tyne and Wear Tyneside Tipo de actividad Higher or Secondary Education Establishments Contacto administrativo Aleona Blinova (Ms.) Enlaces Contactar con la organización Opens in new window Sitio web Opens in new window Coste total Sin datos