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Proceedings Paper

Epilepsy in a chaos neuro-computer model
Author(s): Masayoshi Inoue; Kenji Nakamoto
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Paper 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.

Paper Details

Date Published: 5 November 1993
PDF: 9 pages
Proc. SPIE 2036, Chaos in Biology and Medicine, (5 November 1993); doi: 10.1117/12.162702
Show Author Affiliations
Masayoshi Inoue, Kagoshima Univ. (Japan)
Kenji Nakamoto, Kagoshima Univ. (Japan)


Published in SPIE Proceedings Vol. 2036:
Chaos in Biology and Medicine
William L. Ditto, Editor(s)

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