A Neural Chaos Model of Multistable Perception
Chaotic Dynamics
2007-05-23 v2 Adaptation and Self-Organizing Systems
q-bio
Abstract
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.
Cite
@article{arxiv.nlin/0002046,
title = {A Neural Chaos Model of Multistable Perception},
author = {Natsuki Nagao and Haruhiko Nishimura and Nobuyuki Matsui},
journal= {arXiv preprint arXiv:nlin/0002046},
year = {2007}
}
Comments
10 pages, 9 figures, to be published in Neural Processing Letters