CAVIAR: A 45k Neuron, 5M Synapse, 12G Connects/s AER Hardware Sensory–Processing– Learning–Actuating System for High-Speed Visual Object Recognition and Tracking

Serrano-Gotarredona, R.; Oster, Matthias; Lichtsteiner, P.; Linares-Barranco, Alejandro; Paz-Vicente, R.; Gómez-Rodríguez, F.; A. Camuñas-Mesa, Luis; Berner, Raphael; Rivas-Perez, M.; Delbrück, Tobi; Liu, Shih-Chii; J. Douglas, Rodney; Häfliger, Philipp; Jiménez, G.; Ballcels, A.C.; Serrano‐Gotarredona, Teresa; Acosta-Jimenez, A.J.; Linares-Barranco, B.

doi:10.1109/tnn.2009.2023653

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CAVIAR: A 45k Neuron, 5M Synapse, 12G Connects/s AER Hardware Sensory–Processing– Learning–Actuating System for High-Speed Visual Object Recognition and Tracking

Published in IEEE Transactions on Neural Networks • Jul 28, 2009

Authors:

R. Serrano-Gotarredona

Matthias Oster

P. Lichtsteiner

Abstract

This paper describes CAVIAR, a massively parallel hardware implementation of a spike-based sensing-processing-learning-actuating system inspired by the physiology of the nervous system. CAVIAR uses the asychronous address-event representation (AER) communication framework and was developed in the co...

Subject

Computer science

Context (archaeology)

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