Coherent Response in a Chaotic Neural Network

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dc.creatorNishimura, Haruhiko
dc.creatorKatada, Naofumi
dc.creatorAihara, Kazuyuki
dc.date2000-03-01
dc.date.accessioned2026-07-07T05:32:43Z
dc.date.available2026-07-07T05:32:43Z
dc.descriptionWe 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.
dc.description9 pages, 5 figures, to be published in Neural Processing Letters
dc.identifierhttps://arxiv.org/abs/nlin/0003003
dc.identifierhttp://arxiv.org/abs/nlin/0003003
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/79754
dc.subjectChaotic Dynamics
dc.subjectAdaptation and Self-Organizing Systems
dc.subjectQuantitative Biology
dc.titleCoherent Response in a Chaotic Neural Network
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