Deterministic Chaos Approach to Multistable Perception

摘要：

Multistable perception is perception in which two (or more) interpretations of the same ambiguous image alternate white an obserber looks at them. Perception undergoes involuntary and random-like change. The question arises whether the apparent randomness of alternation is real (that is, due to a stochastic process) or whether any underlying deterministic structure to it exists. In this paper, we examine the spatially coherent temporal behaviors of multistable perception model based on the chaotic neural network from the viewpoint of bottom-up high dimensional approach, aiming at the functioning of chaos in dynamic perceptual processes.

作者: Haruhiko Nishimura Natsuki Nagao Nobuyuki Matsui

作者单位: Studies of Information Science, Hyogo University of Education 942-1 Yashiro-cho, Hyogo 673-1494, Jap Department of Computer Engineering, Himeji Institute of Technology Himeji-shi, Hyogo 671-22, Japan

会议类型: 国际会议

会议名称: 8th International Conference on Neural Information Processing(ICONIP 2001)(第八届国际神经信息处理大会)

会议地点: 上海

会议语种:英文

页码: 1539-1544

在线出版日期: 2001-11-14（万方平台首次上网日期，不代表论文的发表时间）