4 projets européens trouvés
Recherche sur 125080 projets européens
TERMINÉ
Brain-inspired multiscale computation in neuromorphic hybrid systems (BrainScaleS)
Date du début: 1 janv. 2011, Date de fin: 31 mars 2015,
The BrainScaleS project aims at understanding function and interaction of multiple spatial and temporal scales in brain information processing. The fundamentally new approach of BrainScaelS lies in the in-vivo biological experimentation and computational analysis. Spatial scales range from individual neurons over larger neuron populations to entire functional brain areas. Temporal scales range fro ...
Voir le projet
17
Participants partenaires
TERMINÉ
Fast Analog Computing with Emergent Transient States - Initial Training Network (FACETS-ITN) (FACETS-ITN)
Date du début: 1 sept. 2009, Date de fin: 31 août 2013,
FACETS-ITN is a research and training network involving partners from 11 universities and research centres, 3 industrial companies and 1 semi-industrial research centre from 6 European countries. It combines competencies in neurobiology, computational neuroscience, information science, physics and electrical engineering. The scientific goal is to experimentally and theoretically explore the struct ...
Voir le projet
15
Participants partenaires
TERMINÉ
Novel Brain-Inspired Learning Paradigms for Large-Scale Neuronal Networks (BRAIN-I-NETS)
Date du début: 1 janv. 2010, Date de fin: 31 déc. 2012,
Current designs of neurally inspired computing systems rely on learning rules that appear to be insufficient to port the superior adaptive and computational capabilities of biological neural systems into large-scale recurrent neural hardware system. This is not surprising, since most of these learning rules had to be extrapolated from results of neurobiological experiments in vitro. New experiment ...
Voir le projet
7
Participants partenaires
TERMINÉ
Human Brain Project (HBP)
Date du début: 1 mai 2011, Date de fin: 30 avr. 2012,
The human brain can be seen as an immensely powerful, energy efficient, self-learning, self-repairing computer. If we could understand and mimic the way the brain works, we could revolutionize information technology, medicine and society. But to do so we have to bring together everything we know and everything we can learn about the inner workings of the brain's molecules, cells and circuits. The ...
Voir le projet