Cellular Neural Networks

The book is about new applications of cellular neural networks (CNNs), new theoretical results and implementation issues. This topic involves several scientific disciplines including circuit theory, microelectronics, dynamic systems theory and applied mathematics, information processing, biology, neurophysiology, and robotics, to cite but a few. Significant attention is paid to small-size CNNs for generating chaotic dynamics and also to their application in the area of nonlinear circuit synchronization and secure communication. Complex spatio-temporal phenomena in simple CNN models are investigated. A CMOS discrete-time switched-current implementation of a CNN is presented in detail. The reader will find thorough discussion on the subject, ranging from the highest-level aspects treated in a rigorous and analytic way, to the technological challenges and the circuit design aspects. TOC:Circuit Theory and Applications: CNN Basics. Some Applications of CNNs. The CNN as Nonlinear Dynamics Generator. Synchronization. Spatio-temporal Phenomena.- Implementation and Design: A Four Quadrant S2I Switched-Current Multiplier. A 1-D Discrete-Time Cellular Neural Network Chip for Audio Signal Processing.- Mathematical Background.