A neural network model for perceptual alternation of ambiguous figures

Author

Ogawa, Yuzo ; Isokawa, Teijiro ; Matsui, Nobuyuki ; Murata, Tsutomu

Author_Institution

Fac. of Eng., Himeji Inst. of Technol., Hyogo, Japan

fYear

2000

fDate

2000

Firstpage

264

Lastpage

269

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

Keywords

dynamics; gamma distribution; neural nets; physiological models; synchronisation; timing; visual perception; ambiguous figures; coupled oscillatory system; neural network model; neuronal firing; perceptual alternation; perceptual durations; phase activities; psychophysical experiments; timing; visual system; Biological neural networks; Chaotic communication; Computer networks; Neural networks; Neurons; Oscillators; Psychology; Stochastic resonance; Timing; Visual system;

fLanguage

English

Publisher

ieee

Conference_Titel

Robot and Human Interactive Communication, 2000. RO-MAN 2000. Proceedings. 9th IEEE International Workshop on

Conference_Location

Osaka

Print_ISBN

0-7803-6273-X

Type

conf

DOI

10.1109/ROMAN.2000.892506

Filename

892506