A neural network model for perceptual alternation of ambiguous figures

Abstract

A neural network model for perceptual alternation of ambiguous figures is presented to realize dynamics of the visual system. This model is based on the coupled oscillatory system that can describe the timing of neuronal firing. From results of simulations with this model, it is found that the model is able to represent the perceptual alternation in terms of the phase activities and synchronization of neuronal phases. It is also shown the perceptual durations of the alternating interpretations are well fitted for Gamma distribution as similar to those of the psychophysical experiments.