Rhythmogenesis in the mean field model of the neuron–glial network
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
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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