https://doi.org/10.1140/epjs/s11734-023-00778-9
Regular Article
Rhythmogenesis in the mean field model of the neuron–glial network
1
Volga State University of Water Transport, 5 Nesterova Street, 603950, Nizhny Novgorod, Russia
2
Lobachevsky State University of Nizhny Novgorod, 23 Prospekt Gagarina, 603950, Nizhny Novgorod, Russia
b
tatiana.levanova@itmm.unn.ru
Received:
10
August
2022
Accepted:
25
January
2023
Published online:
10
February
2023
Despite the fact that the phenomenon of bursting activity is important for functioning of living neural networks, the mechanisms of its origin are still not clear. In this paper, we propose a new phenomenological model that can explain the mechanisms of the formation of bursting activity based on short-term synaptic plasticity, recurrent connections, and neuron–glial interactions. We show that neuron–glial interactions can induce bursting activity. The bifurcation scenarios of emergence of bursting activity are in the focus of the paper. Proposed study is important for understanding the complex dynamics of neural networks.
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© The Author(s), under exclusive licence to EDP Sciences, Springer-Verlag GmbH Germany, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
