288 pp. per issue
6 x 9, illustrated
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Neural Computation

June 2017, Vol. 29, No. 6, Pages 1696-1720
(doi: 10.1162/NECO_a_00965)
© 2017 Massachusetts Institute of Technology
Chaotic Pattern Alternations Can Reproduce Properties of Dominance Durations in Multistable Perception
Article PDF (1.1 MB)

We propose a pulse neural network that exhibits chaotic pattern alternations among stored patterns as a model of multistable perception, which is reflected in phenomena such as binocular rivalry and perceptual ambiguity. When we regard the mixed state of patterns as a part of each pattern, the durations of the retrieved pattern obey unimodal distributions. We confirmed that no chaotic properties are observed in the time series of durations, consistent with the findings of previous psychological studies. Moreover, it is shown that our model also reproduces two properties of multistable perception that characterize the relationship between the contrast of inputs and the durations.