“Anticontrol” of chaos in an analog neural network by external low-dimensional chaotic force

The results of study of an analog neural network model with time delay which produces chaos similar to human and animal EEGs are presented. It is shown that the increasing of the neural network asymmetry (increasing of the neurons´ excitability) leads to a phenomenon similar to epilepsy. The authors also consider “anticontrol” of chaos: the action of the external low-dimensional chaotic force on the neural network with developed epilepsy-like pathological activity. The authors obtained suppression of pathological nonchaotic activity at the optimal amplitude of external low-dimensional chaotic force. In this case, a chaotic neural network demonstrates a phenomenon similar to stochastic resonance for internal spontaneous oscillations under the action of external low-dimensional chaotic force instead of random noise, as was studied previously