Chaotic Cellular Neural Networks Made of Chua's Circuits

A chaotic neural network, called chaotic Cellular Neural Network (CNN), is proposed for performing complex information processing tasks. Each cell in the chaotic CNN is a Chua's circuit and connected only to its nearest neighbors. The proposed network of coupled Chua's circuit type cells constitutes a special case of the generalized CNNs introduced recently.1 Individual cells play the role of an analog microprocessor: producing constant, oscillatory or chaotic steady-state outputs depending on its input, which is the weighted sum of external inputs and the outputs of neighboring cells. The proposed chaotic CNN has complex temporal dynamical behaviours and hence provides a potentially rich mechanism for information processing, specially for nonlinear signal processing.