SpikeNet: real-time visual processing with one spike per neuron

SpikeNet is an image-processing system that uses very large-scale networks of asynchronously -ring neurons. The latest version allows very e0cient object identi-cation in real-time using a video input, and although this speci-c implementation is designed to run on standard computer hardware, there are a number of clear implications for computational neuroscience. Speci-cally, SpikeNet demonstrates the plausibility of visual processing based on a single feed-forward pass and very sparse levels of -ring. Above all, it is one of the very few models compatible with the severe temporal constraints imposed by experimental data on processing speed in the visual system. c © 2004 Elsevier B.V. All rights reserved.