Pattern dynamics of chaotic neural networks with nearest-neighbor couplings

The authors introduce chaos into simple mathematical neuron models which are deterministic rather than probabilistic. The authors apply chaotic dynamics to artificial neural networks, using a chaotic neuron model based on electrophysiological experiments with squid giant axons and on numerical experiments with the Hodgkin-Huxley equations. First, the authors explain the chaotic neuron model and its dynamics. The authors also demonstrate spatio-temporal pattern dynamics of chaotic neural networks with nearest-neighbor couplings. It is shown that the chaotic neural networks with nearest-neighbor couplings have abundant spatio-temporal dynamics with a possible applicability to dynamical spatio-temporal memory