Title :
Autowaves and spatio-temporal chaos in CNNs. I. A tutorial
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., California Univ., Berkeley, CA, USA
fDate :
10/1/1995 12:00:00 AM
Abstract :
This paper presents a summary of the most commonly observed spatio-temporal phenomena in discrete cellular neural networks (CNNs) of dimension one and two. Among the phenomena discussed are traveling wave phenomena in chains and 2-D arrays, and spiral waves and target waves in both excitable and fluctuating media. Chua´s circuit is used as the basic cell in the CNN arrays. Parameter values and initial conditions for the corresponding simulations are given so they can be reproduced with different simulators
Keywords :
Chua´s circuit; cellular neural nets; chaos; nonlinear network analysis; 1D CNN; 2D CNN; 2D arrays; Chua´s circuit; autowaves; discrete cellular neural networks; excitable media; fluctuating media; simulations; spatio-temporal chaos; spiral waves; target waves; traveling wave phenomena; Biological system modeling; Cellular neural networks; Chaos; Circuit simulation; Coupling circuits; Intelligent networks; Neurons; Spatiotemporal phenomena; Spirals; Tutorial;
Journal_Title :
Circuits and Systems I: Fundamental Theory and Applications, IEEE Transactions on