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, in formation 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. The Springer Series in Advanced Microelectronics provides systematic information on all the topics relevant for the design, processing, and manufacturing of microelectronic devices. The books, each prepared by leading researchers or engineers in their fields, cover the basic and advanced aspects of topics such as wafer processing, materials, device design, device technologies, circuit design, VLSI implementation, and subsystem technology. The series forms a bridge between physics and engineering and the volumes will appeal to practicing engineers as well as research scientists.