Modeling Complex Neurodynamics with Spatio-temporal Chaos and Its Application to Analog Computation
In this keynote speech, I review the studies on chaotic neural networks:(1) electrophysiotogical experiments on chaotic responses generated by excitable neurodynamics in squtd giant axons and nonlinear time series analysis of the response data,(2) modeling of the chaotic neurodynamics by a bimodal map, or a chaotic neuron model and its extension to a network model of chaotic neural networks,(3) numerical and theoretical analysis on complex spatio-temporal dynamics with parallel distributed processing abilities in chaotic neural networks,and(4) electronic implementation of chaotic neural networks with analog IC chips for chaos computation.
Kazuyuki Aihara
Department of Complexity Science and Engineering, Graduate School of Frontier Sciences, University of Tokyo, Tokyo, 113-8654, Japan
国际会议
上海
英文
插6-插8
2003-11-09（万方平台首次上网日期，不代表论文的发表时间）