  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.
