Izvestiya VUZ. Applied Nonlinear Dynamics
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Izvestiya VUZ. Applied Nonlinear Dynamics, 2024, Volume 32, Issue 5, Pages 670–690
DOI: https://doi.org/10.18500/0869-6632-003122
(Mi ivp615)
 

NONLINEAR DYNAMICS AND NEUROSCIENCE

Regulation of burst dynamics in the neuron-glial network with synaptic plasticity

S. V. Stasenkoab

a National Research Lobachevsky State University of Nizhny Novgorod, Russia
b Moscow Institute of Physics and Technology, Russia
References:
Abstract: The purpose of this study is to develop and investigate a model of astrocytic regulation of burst dynamics of a spiking neural network with synaptic plasticity in inhibitory synapses. Methods. The "integrate and firing" model was used as a neuron model. To describe the dynamics of synaptic connections, a conductance-dependent synapse model with corresponding characteristic relaxation times for excitatory and inhibitory synapses was used. At the same time, inhibitory synaptic plasticity, described by the Vogel model, was used in the dynamics of inhibitory synapses between excitatory and inhibitory neurons. At the same time, the dynamics of excitatory synapses was regulated by the mean-field model of gliotransmitter concentration. Results. A model for the regulation of burst dynamics in a neuron-glial network with inhibitory synaptic plasticity was developed and studied. The main dynamic modes of neuronal activity were obtained in the absence of regulation, in the presence of only synaptic plasticity, and in the presence of also astrocytic regulation of synaptic transmission. A study was conducted of the influence of astrocytic modulation on the frequency of burst activity of the neural network. Conclusion. The study showed the possibility of controlling the burst activity of a spiking neural network by taking into account inhibitory synaptic plasticity for inhibitory synapses between inhibitory and excitatory neurons, as well as astrocytic modulation of excitatory synapses. Astrocytic modulation of synaptic transmission may act as an additional mechanism for maintaining homeostasis in the neural network beyond synaptic transmission, which exists on a faster time scale.
Keywords: spiking neural network, recurrent network, tripartite synapse, synaptic plasticity, Neuron, Astrocyte
Funding agency Grant number
Russian Science Foundation 23-11- 00134
Ministry of Science and Higher Education of the Russian Federation 075-02-2024-1439
Work regarding the development of the model and simulation was carried out with the support of a grant from the Russian Science Foundation (project No. 23-11-00134), work regarding the selection of parameters for the model of inhibitory synaptic plasticity was carried out with the support of the Development Program of the Regional Scientific and Educational Mathematical Center “Mathematics of Future Technologies” ( Agreement No. 075-02-2024-1439).
Received: 07.03.2024
Accepted: 29.05.2024
Bibliographic databases:
Document Type: Article
UDC: 530.182
Language: Russian
Citation: S. V. Stasenko, “Regulation of burst dynamics in the neuron-glial network with synaptic plasticity”, Izvestiya VUZ. Applied Nonlinear Dynamics, 32:5 (2024), 670–690
Citation in format AMSBIB
\Bibitem{Sta24}
\by S.~V.~Stasenko
\paper Regulation of burst dynamics in the neuron-glial network with synaptic plasticity
\jour Izvestiya VUZ. Applied Nonlinear Dynamics
\yr 2024
\vol 32
\issue 5
\pages 670--690
\mathnet{http://mi.mathnet.ru/ivp615}
\crossref{https://doi.org/10.18500/0869-6632-003122}
\edn{https://elibrary.ru/ZWPCXX}
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