AER Building Blocks for Multi-Layer Multi-Chip Neuromorphic Vision Systems

Serrano-Gotarredona, R.; Oster, M.; Lichtsteiner, P.; Linares-Barranco, A.; Paz-Vicente, R.; Gomez-Rodriguez, F.; Kolle Riis, H.; Delbruck, T.; Liu, S. C.; Zahnd, S.; Whatley, A. M.; Douglas, R.; Hafliger, P.; Jimenez-Moreno, G.; Civit, A.; Serrano-Gotarredona, T.; Acosta-Jimenez, A.; Linares-Barranco, B.

AER Building Blocks for Multi-Layer Multi-Chip Neuromorphic Vision Systems

Part of Advances in Neural Information Processing Systems 18 (NIPS 2005)

Authors

R. Serrano-Gotarredona, M. Oster, P. Lichtsteiner, A. Linares-Barranco, R. Paz-Vicente, F. Gomez-Rodriguez, H. Kolle Riis, T. Delbruck, S. C. Liu, S. Zahnd, A. M. Whatley, R. Douglas, P. Hafliger, G. Jimenez-Moreno, A. Civit, T. Serrano-Gotarredona, A. Acosta-Jimenez, B. Linares-Barranco

Abstract

A 5-layer neuromorphic vision processor whose components communicate spike events asychronously using the address-event- representation (AER) is demonstrated. The system includes a retina chip, two convolution chips, a 2D winner-take-all chip, a delay line chip, a learning classiﬁer chip, and a set of PCBs for computer interfacing and address space remappings. The components use a mixture of analog and digital computation and will learn to classify trajectories of a moving object. A complete experimental setup and measurements results are shown.

AER Building Blocks for Multi-Layer Multi-Chip Neuromorphic Vision Systems

Authors

Abstract

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