Epilepsy in a chaos neuro-computer model

Masayoshi Inoue; Kenji Nakamoto

doi:10.1117/12.162702

5 November 1993 Epilepsy in a chaos neuro-computer model

Masayoshi Inoue, Kenji Nakamoto

Proceedings Volume 2036, Chaos in Biology and Medicine; (1993) https://doi.org/10.1117/12.162702
Event: SPIE's 1993 International Symposium on Optics, Imaging, and Instrumentation, 1993, San Diego, CA, United States

Abstract

A network of chaos elements has been presented as an information processor where each element consists of two oscillators and it acts as a neuron by making use of the synchronized state of the two oscillators. The model is considered as a dynamical model of the brain, and brain dynamics is metaphorically analyzed with the use of the model. The time sequences of Hopfield's energy, which are generated by the network when it solves a traveling salesman problem, are investigated with the use of a fluctuation spectrum theory. The change of the energy reflects the active motion of neurons, and we consider that the time sequence corresponds to a brain wave. If the control parameters of the neuron are chosen properly, the model can efficiently find the solution where a low intermittent `brain wave' is observed. On the other hand, the model will have epileptic fits if a certain control parameter takes a small value.

Citation Download Citation

Masayoshi Inoue and Kenji Nakamoto "Epilepsy in a chaos neuro-computer model", Proc. SPIE 2036, Chaos in Biology and Medicine, (5 November 1993); https://doi.org/10.1117/12.162702

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