Brain-Inspired Multiscale Computation in Neuromorphic Hybrid Systems (BrainScaleS)
Brain-Inspired Multiscale Computation in Neuromorphic Hybrid Systems (BrainScaleS)
Brain-Inspired Multiscale Computation in Neuromorphic Hybrid Systems (BrainScaleS)
The BrainScaleS project aims at understanding the function and interaction of multiple spatial and temporal scales in brain information processing. The fundamentally new approach of BrainScaleS lies in in-vivo biological experimentation and computational analysis. Spatial scales range from individual neurons to larger neuron populations to entire functional brain areas.
Temporal scales range from milliseconds relevant for event-based plasticity mechanisms to hours or days relevant for learning and development. In this project, generic theoretical principles will be extracted to enable an artificial synthesis of cortical-like cognitive skills. Both, numerical simulations on petaflop supercomputers and a fundamentally different non-von Neumann hardware architecture will be employed for this purpose.
This is a collaborative project coordinated by Heidelberg University with the participation of the following groups:
- UPF, Barcelona, Spain
- Technische Universität Dresden, Germany
- CNRS, Unité de Neurosciences (UNIC; Gif-sur- Yvette), Institut de Neurosciences Cognitives de la Méditerranée (INCM) and Institut des Sciences du Mouvement (ISM; Marseille), France
- Technische Universität Graz, Austria
- Forschungszentrum Jülich GmbH, Germany
- École Polytechnique Fédérale de Lausanne Laboratory of Cognitive Neuroscience and the Blue Brain Project, Switzerland
- Institut National de Recherche en Informatique et en Automatique (INRIA; National Institute for Research in Computer Science and Control), Sophia Antipolis, France
- Kungliga Tekniska Högskolan, Stockholm, Sweden
- Universität Zürich, Switzerland
Funding Programme: FP7 Cooperation Specific Programme – Future Emerging Information and Communication Technologies