电邮这篇文章 DYNAMIC SELF-ORGANIZATION IN NEURAL NETWORKS SYSTEMS
- 作者: Glyzin S.D1, Kolesov A.Y1, Fedulov D.D1
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隶属关系:
- P.G. Demidov Yaroslavl State University, Center for Integrated Systems
- 期: 卷 65, 编号 4 (2025)
- 页面: 574–589
- 栏目: Computer science
- URL: https://ogarev-online.ru/0044-4669/article/view/295431
- DOI: https://doi.org/10.31857/S0044466925040124
- EDN: https://elibrary.ru/IEEVOG
- ID: 295431
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详细
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.
作者简介
S. Glyzin
P.G. Demidov Yaroslavl State University, Center for Integrated Systems
Email: glyzin@uniyar.ac.ru
Yaroslavl, Russia
A. Kolesov
P.G. Demidov Yaroslavl State University, Center for Integrated Systems
Email: andkolesov@mail.ru
Yaroslavl, Russia
D. Fedulov
P.G. Demidov Yaroslavl State University, Center for Integrated Systems
Email: mr.fedulow@yandex.ru
Yaroslavl, Russia
参考
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