A Neural Chaos Model of Multistable Perception

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We present a perception model of ambiguous patterns based on the chaotic neural network and investigate the characteristics through computer simulations. The results induced by the chaotic activity are similar to those of psychophysical experiments and it is difficult for the stochastic activity to reproduce them in the same simple framework. Our demonstration suggests functional usefulness of the chaotic activity in perceptual systems even at higher cognitive levels. The perceptual alternation may be an inherent feature built in the chaotic neuron assembly.
10 pages, 9 figures, to be published in Neural Processing Letters

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Chaotic Dynamics, Adaptation and Self-Organizing Systems, Quantitative Biology

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http://salesiana.dossiersoluciones.com/handle/123456789/79750

Consulte el texto completo en el siguiente enlace:

https://arxiv.org/abs/nlin/0002046
 http://arxiv.org/abs/nlin/0002046

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arXiv