Сложность. Разум. Постнеклассика
Электронный научный журнал

Биологические науки
MODELING OF HEURISTIC HUMAN BRAIN ACTIVITIES
V.V. ESKOV 1, O.E. FILATOVA 2, L.S. SHAKIROVA 2, V.A. GALKIN 2, D.YU. KHVOSTOV 1

1. Surgut State University
2. Federal Science Center Scientific-research Institute for System Studies of the Russian Academy of Sciences

Abstract:

Until now, there are no models and approaches in the real study of the heuristic work of the human brain. Obviously, this will be possible if we go beyond the logic of determinism and stochastics, and move on to the logic of Fuzziness and the new chaos-self-organization theory. In this case, we will be able to find regularities when stochastics cannot show them. This requires special methods and models that will not use classical statistical methods. We propose to use chaos and reverberations in the work of artificial neural networks. It turned up that this gave rise to the possibility of systemic synthesis.

Keywords: electroencephalograms, brain neural networks, chaos, Eskov-Zinchenko effect

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