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A Neural Chaos Model of Multistable Perception

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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.

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Authors and Affiliations

  1. Studies of Information Science, Hyogo University of Education, 942-1 Yashiro-cho, Hyogo, 673-1494, Japan

    Natsuki Nagao & Haruhiko Nishimura

  2. Department of Computer Engineering, Himeji Institute of Technology, Himeji-shi, Hyogo, 671-2201, Japan

    Nobuyuki Matsui

Authors
  1. Natsuki Nagao
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  2. Haruhiko Nishimura
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  3. Nobuyuki Matsui
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Nagao, N., Nishimura, H. & Matsui, N. A Neural Chaos Model of Multistable Perception. Neural Processing Letters 12, 267–276 (2000). https://doi.org/10.1023/A:1026511124944

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