Investigation of Characteristics of Coupled Chaotic Circuit Networks and their Applications to Information Processing Networks

本研究以电路实验、电脑模拟与理论分析，探讨产生各种时空模式的耦合混沌网路。应用所观察到的复杂现象的信息处理网络的特性进行了研究。特别地，网络中混沌电路的聚类状态，其耦合强度根据电路之间的距离而改变，被澄清为依赖于电路的分配密度。

In this study, coupled chaotic networks generating various spatio-temporal patterns are investigated by circuit experiments, computer simulations, and theoretical analysis. Applications of the characteristics of the observed complex phenomena to information processing networks are investigated. In particular, clustering states of chaotic circuits in the network, whose coupling strengths are changed according to the distances between the circuits, are clarified to depend on the assignment dens ity of the circuits.