Path-integral evolution of chaos embedded in noise: Duffing neocortical analog

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dc.creatorIngber, Lester
dc.creatorSrinivasan, R.
dc.creatorNunez, Paul
dc.date2000-01-24
dc.date.accessioned2026-07-07T05:32:38Z
dc.date.available2026-07-07T05:32:38Z
dc.descriptionA two dimensional time-dependent Duffing oscillator model of macroscopic neocortex exhibits chaos for some ranges of parameters. We embed this model in moderate noise, typical of the context presented in real neocortex, using PATHINT, a non-Monte-Carlo path-integral algorithm that is particularly adept in handling nonlinear Fokker-Planck systems. This approach shows promise to investigate whether chaos in neocortex, as predicted by such models, can survive in noisy contexts.
dc.description23 PostScript pages, including 10 figures
dc.identifierhttps://arxiv.org/abs/nlin/0001047
dc.identifierhttp://arxiv.org/abs/nlin/0001047
dc.identifierMathematical Computer Modelling 23 (1996) 43-53
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/79724
dc.subjectChaotic Dynamics
dc.subjectAdaptation and Self-Organizing Systems
dc.titlePath-integral evolution of chaos embedded in noise: Duffing neocortical analog
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