Architecture of Cellular Neural Networks
The basic circuit unit of a CNN is called a cell. It contains linear and nonlinear circuit elements, which typically are linear capacitors, linear resistors, linear and nonlinear controlled sources, and independent sources.
Global behavior of Cellular Neural Networks
Assuming that the interconnections of a single cell do not depend on its position, the global behavior of a CNN is described by its Template set containing the A-Template, the B-Template, the Bias I, and the initial state.
A CNN is very well suited for high speed parallel signal processing. Its local interconnection feature makes it tailor-made for VLSI implementation.
Potential applications for Cellular Neural Networks are signal processing, pattern recognition and image processing.