Izvestiya of Saratov University.

Physics

ISSN 1817-3020 (Print)
ISSN 2542-193X (Online)


For citation:

Stasenko S. V. Burst dynamics of a spiking neural network caused by the activity of the extracellular matrix of the brain. Izvestiya of Saratov University. Physics , 2024, vol. 24, iss. 2, pp. 138-149. DOI: 10.18500/1817-3020-2024-24-2-138-149, EDN: EOSDSZ

This is an open access article distributed under the terms of Creative Commons Attribution 4.0 International License (CC-BY 4.0).
Published online: 
28.06.2024
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Russian
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Article
UDC: 
530.182
EDN: 
EOSDSZ

Burst dynamics of a spiking neural network caused by the activity of the extracellular matrix of the brain

Autors: 
Stasenko Sergey Victorovich, Lobachevsky State University of Nizhny Novgorod
Abstract: 

Background and Objectives: The purpose of this work is to study the influence of the extracellular matrix of the brain on the formation of burst dynamics of a spiking neural network. Materials and Methods: The Izhikevich neuron model was used as a neuron model. To describe the dynamics of the extracellular matrix of the brain, the phenomenological model of Kazantsev, constructed using the formalism of the Hodgkin – Huxley model, was used. A model of the formation of burst dynamics of a spiking neural network under the influence of the extracellular matrix of the brain was developed and studied. Results: The main dynamic modes of neural activity have been obtained in the absence of regulation and in the presence of the extracellular matrix of the brain. Conclusion: It has been explored how the modulation by the extracellular matrix of the brain can influence the frequency of burst activity of the neural network. It has been found that the regulation of neural activity, mediated by the extracellular matrix of the brain, promotes the grouping of spikes into quasi-synchronous population discharges, called population bursts. In this case, an increase in the strength of the influence of the extracellular matrix of the brain on postsynaptic currents through synaptic scaling leads to an increase in the degree of synchrony of neuron populations.

Acknowledgments: 
This work was supported by the Development Program of the Regional Scientific and Educational Mathematical Center “Mathematics of Future Technologies” (Agreement No. 075-02-2024-1439).
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Received: 
15.03.2024
Accepted: 
02.04.2024
Published: 
28.06.2024