Summary
International Symposium on Nonlinear Theory and its Applications
2008
Session Number:B4L-E
Session:
Number:B4L-E3
A hierarchical chaotic neural network model for multistable binocular rivalry
Yuta Kakimoto, Kazuyuki Aihara,
pp.-
Publication Date:2008/9/7
Online ISSN:2188-5079
Summary:
Binocular rivalry is perceptual alternation that occurs when different images are presented to the two eyes. Despite efforts of many neuroscientists, the mechanism of binocular rivalry still remains unclear. In multi-stable binocular rivalry, which is a special case of binocular rivalry, it is known that the perceptual alternation between paired patterns is more frequent than that between unpaired patterns. This result suggests that perceptual transition in binocular rivalry is not a simply random process and the memories stored in the brain play an important role for the perceptual transition. In this paper, we propose a hierarchical chaotic neural network model for multistable binocular rivalry and show that our model reproduces some characteristic properties in multistable binocular rivalry.