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

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.

Keywords

• spiking neural network
• tetrapartite synapse
• burst dynamics
• neuron
• extracellular matrix of the brain