Сложность. Разум. Постнеклассика
Электронный научный журнал

Биологические науки
STOCHASTICS BORDERS IN MODELING OF EEGS IN THE NORM AND IN PATHOLOGY
V.M. ESKOV 1, O.E. FILATOVA 1, I.V. KLYUS 1, P.B. TEN 1

1. Surgut State University

Abstract:

Now we proved the Eskov-Zinchenko effect as stochastics instability of any parameters samples of complex biosystems (complexity). The chaotic dynamics of human functional systems is confirmed by the brain, higher nervous activity, and maybe modeled in terms of the theory of chaos and self-organization. It was proved that the chaos in the organization of movements begins with the chaos in the neural networks, as chaos in bioelectric activity of the brain and electromyogram. All potentials in purposeful activities (i.e., with the participation of the higher nervous activity, of consciousness) show chaotic dynamics statistical distribution functions f(x) and their characteristics. Consciousness cannot eliminate chaos in the organization of movements in the neural networks of the brain too. It is typical for biomechanics (Esko- Zinchenko effect) and now we demonstrate chaos of neural network of the brain. It can only influence the share of stochastics in the ultimate act – in any movement involving consciousness. The paper presents chaos of brain biopotentials of man and the chaos is not Lorenz. The calculation of matrix parameters on EEG demonstrates very low level of stochastics in EEG generation of neuron network.

Keywords: chaos, electroencephalogram, Eskov-Zinchenko effect.

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