Practical numerical algorithms for chaotic systems
Practical numerical algorithms for chaotic systems
The impact of fluctuations on the recognition of ambiguous patterns
Biological Cybernetics
Parallel distributed processing: explorations in the microstructure of cognition, vol. 1: foundations
Synergetic computers and cognition: a top-down approach to neural nets
Synergetic computers and cognition: a top-down approach to neural nets
Associative dynamics in a chaotic neural network
Neural Networks
The Handbook of Brain Theory and Neural Networks
The Handbook of Brain Theory and Neural Networks
Chaos Causes Perspective Reversals for Ambiguious Patterns
IPMU'94 Selected papers from the 5th International Conference on Processing and Management of Uncertainty in Knowledge-Based Systems, Advances in Intelligent Computing
A Multilayered Scheme of Bidirectional Associative Memory for Multistable Perception
Neural Information Processing
Dynamic social simulation with multi-agents having internal dynamics
JSAI'03/JSAI04 Proceedings of the 2003 and 2004 international conference on New frontiers in artificial intelligence
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We present a perception model of ambiguous patterns based on the chaotic neural network and investigate the characteristics through computer simulations. The results induced by the chaotic activity are similar to those of psychophysical experiments and it is difficult for the stochastic activity to reproduce them in the same simple framework. Our demonstration suggests functional usefulness of the chaotic activity in perceptual systems even at higher cognitive levels. The perceptual alternation may be an inherent feature built in the chaotic neuron assembly.