A neural network model for perceptual alternation of ambiguous figures

被引：3
|
作者：
Ogawa, Y [1 ]
Isokawa, T [1 ]
Matsui, N [1 ]
Murata, T [1 ]
机构：
[1] Himeji Inst Technol, Fac Engn, Dept Comp Engn, Himeji, Hyogo 6712201, Japan
来源：
IEEE RO-MAN 2000: 9TH IEEE INTERNATIONAL WORKSHOP ON ROBOT AND HUMAN INTERACTIVE COMMUNICATION, PROCEEDINGS | 2000年
关键词：
D O I：
10.1109/ROMAN.2000.892506
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
A neural network model for perceptual alternation of ambiguous figures is presented to realize dynamics of 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. A is also shown the perceptual durations of the alternating interpretations are well fitted for Gamma distribution as similar to those of the psychophysical experiments.
引用
收藏
页码：264 / 269
页数：6
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