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Coherent Response in a Chaotic Neural Network

Haruhiko Nishimura·Naofumi Katada·Kazuyuki Aihara
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Abstract

We set up a signal-driven scheme of the chaotic neural network with the coupling constants corresponding to certain information, and investigate the stochastic resonance-like effects under its deterministic dynamics, comparing with the conventional case of Hopfield network with stochastic noise. It is shown that the chaotic neural network can enhance weak subthreshold signals and have higher coherence abilities between stimulus and response than those attained by the conventional stochastic model.

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Haruhiko Nishimura, Naofumi Katada, Kazuyuki Aihara. 2000-03-01. Coherent Response in a Chaotic Neural Network. https://arxiv.org/abs/nlin/0003003

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