GENERATION OF VARIOUS TYPES OF SPATIO-TEMPORAL PHENOMENA IN TWO-LAYER CELLULAR NEURAL NETWORKS
Zonghuang Yang, Yoshifumi Nishio, Akio Ushida · IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences · 2004
The paper discusses the spatio-temporal phenomena in autonomous two-layer Cellular Neural Networks (CNNs) with mutually coupled templates between two layers. By computer calculations, we show how pattern formations, autowaves and classical waves can be regenerated in the networks, and describe the properties of these phenomena in detail. In particular, we focus our discussion on the necessary conditions for generating these spatio-temporal phenomena. In addition, the influences of the template parameters and initial state conditions of CNNs on the spatiotemporal phenomena are investigated. key words: two-layer CNN array, reaction-diffusion equation, pattern formation, autowave, classical wave