Objectif "Brains are remarkable computing devices which clearly outperform conventional architectures in real-world tasks. Computational neuroscience has made tremendous progress in uncovering the key principles by which neural systems carry out computation, and ICTs have advanced to a point where it is possible to integrate almost as many transistors in a VLSI system as neurons in a brain. Yet, we are still unable to develop artificial neural systems with basic computing abilities able to parallel even simple insect brains.We have recently demonstrated how it is possible to implement large-scale artificial neural networks and real-time sensory motor systems in VLSI technology, exploiting the physics of silicon to reproduce the biophysics of neural systems. But the main bottleneck is in the understanding of how to use these systems to perform general purpose computation. Progress in this domain can be achieved only by pursuing a fully integrated multi-disciplinary approach. We propose to combine neuroscience, mathematics, computer-science, and engineering to develop a theoretical formalism and its supporting technology for designing spike-based general purpose ""neuromorphic processors"", as distributed multi-chip neuromorphic VLSI systems, and for programming them to learn to produce desired computations autonomously. We will study the properties of neural circuits in the neocortex, model their coding strategies and spike-driven learning mechanisms using biophysically realistic spiking neural networks, and implement them using hybrid analog digital VLSI circuits.By interfacing these systems to silicon retinas, cochleas and autonomous robotic platforms we will build embodied neuromorphic processors able to carry out event-based computations in real-world behavioral tasks." Champ scientifique natural sciencesbiological sciencesneurobiologynatural sciencescomputer and information sciencescomputational sciencenatural sciencesbiological sciencesbiophysics Programme(s) 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) Thème(s) ERC-SG-PE7 - ERC Starting Grant - Systems and communication engineering Appel à propositions ERC-2010-StG_20091028 Voir d’autres projets de cet appel Régime de financement ERC-SG - ERC Starting Grant Institution d’accueil University of Zurich Contribution de l’UE € 1 494 023,00 Adresse RAMISTRASSE 71 8006 ZURICH Suisse Voir sur la carte Type d’activité Higher or Secondary Education Establishments Chercheur principal Giacomo Indiveri (Dr.) Contact administratif Giacomo Indiveri (Dr.) Liens Contacter l’organisation Opens in new window Site web Opens in new window Coût total Aucune donnée Bénéficiaires (1) Trier par ordre alphabétique Trier par contribution de l’UE Tout développer Tout réduire University of Zurich Suisse Contribution de l’UE € 1 494 023,00 Adresse RAMISTRASSE 71 8006 ZURICH Voir sur la carte Type d’activité Higher or Secondary Education Establishments Chercheur principal Giacomo Indiveri (Dr.) Contact administratif Giacomo Indiveri (Dr.) Liens Contacter l’organisation Opens in new window Site web Opens in new window Coût total Aucune donnée