Associative dynamics in chaotic neural networks

Abstract

The authors apply a model of a chaotic neural network composed of neuron models with chaotic dynamics to associative memory, the stored patterns of which are mutually orthogonal, and analyze its dynamical behavior quantitatively. In order to clarify the chaotic dynamics, they calculate the Lyapunov spectrum, the temporal changes of the distance between the output pattern of the chaotic neural network and the stored patterns, and the local divergence rate. It is demonstrated that dynamical associative memory can be realized with the chaotic neural network. >