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DYNAMIC SELF-ORGANIZATION IN NEURAL NETWORKS SYSTEMS
- Authors: Glyzin S.D1, Kolesov A.Y1, Fedulov D.D1
-
Affiliations:
- P.G. Demidov Yaroslavl State University, Center for Integrated Systems
- Issue: Vol 65, No 4 (2025)
- Pages: 574–589
- Section: Computer science
- URL: https://journal-vniispk.ru/0044-4669/article/view/295431
- DOI: https://doi.org/10.31857/S0044466925040124
- EDN: https://elibrary.ru/IEEVOG
- ID: 295431
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Abstract
The introduced concept of dynamic self-organization consists in the following. Suppose that there is a set of free (non-interacting) neurons, each of which is at rest or not capable of vibrational electrical activity at all. Then, being connected in a certain way in a network, these neurons can begin to generate electrical impulses. The feasibility of this phenomenon is illustrated by the example of one mathematical model, which is a certain nonlinear boundary value problem of hyperbolic type. A combination of analytical and numerical methods is used to study the attractors of the boundary value problem under consideration.
About the authors
S. D Glyzin
P.G. Demidov Yaroslavl State University, Center for Integrated Systems
Email: glyzin@uniyar.ac.ru
Yaroslavl, Russia
A. Y Kolesov
P.G. Demidov Yaroslavl State University, Center for Integrated Systems
Email: andkolesov@mail.ru
Yaroslavl, Russia
D. D Fedulov
P.G. Demidov Yaroslavl State University, Center for Integrated Systems
Email: mr.fedulow@yandex.ru
Yaroslavl, Russia
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