Dynamic Self-Organization in Neuron Systems

The concept of dynamic self-organization is introduced, which can be described as follows. Given a collection of free (noninteracting) neurons, each being at rest or incapable of oscillatory electrical activity, when connected in a certain way into a network, these neurons can begin to generate electrical impulses. The feasibility of this phenomenon is illustrated using a mathematical model representing a nonlinear boundary value problem of hyperbolic type. The attractors of this problem are investigated by combining analytical and numerical methods.

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Publication Details

Journal
Computational Mathematics and Mathematical Physics
Published
2025-04-01
DOI
https://doi.org/10.1134/s0965542525700174
Primary Topic
Neural dynamics and brain function
Type
article
Field-Weighted Citation Impact
0.00
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article

Dynamic Self-Organization in Neuron Systems

A. Yu. Kolesov, С. Д. Глызин, D. D. Fedulov
Computational Mathematics and Mathematical Physics
Neural dynamics and brain function
article

Dynamic Self-Organization in Neuron Systems

A. Yu. Kolesov, С. Д. Глызин, D. D. Fedulov
article en

Abstract

The concept of dynamic self-organization is introduced, which can be described as follows. Given a collection of free (noninteracting) neurons, each being at rest or incapable of oscillatory electrical activity, when connected in a certain way into a network, these neurons can begin to generate electrical impulses. The feasibility of this phenomenon is illustrated using a mathematical model representing a nonlinear boundary value problem of hyperbolic type. The attractors of this problem are investigated by combining analytical and numerical methods.

Computational Mathematics and Mathematical PhysicsVol. 65(4)
Yaroslavl State University (RU)
Openalex Percentile: Top 87%
Neural dynamics and brain function
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