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MiS Preprint Repository

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MiS Preprint
14/2022

Self-organized criticality in a mesoscopic model of excitatory-inhibitory neuronal populations by short-term and long-term synaptic plasticity

Jürgen Jost and Masud Ehsani

Abstract

In Ehsani and Jost (2022), we have shown that the dynamics of an interconnected population of excitatory and inhibitory spiking neurons wandering around a Bogdanov-Takens (BT) bifurcation point can generate the observed scale-free avalanches at the population level and the highly variable spike patterns of individual neurons. These characteristics match experimental findings for spontaneous intrinsic activity in the brain. In this paper, we address the mechanisms causing the system to get and remain near this BT point. We propose an effective stochastic neural field model which captures the dynamics of the mean-field model. We show how the network tunes itself through local long-term synaptic plasticity by STDP and short-term synaptic depression to be close to this bifurcation point. The mesoscopic model that we derive matches the directed percolation model at the absorbing state phase transition.

Received:
Apr 4, 2022
Published:
Apr 7, 2022

Related publications

inJournal
2022 Journal Open Access
Jürgen Jost and Masud Ehsani

Self organized criticality in a mesoscopic model of excitatory-inhibitory neuronal populations by short-term and long-term synaptic plasticity

In: Frontiers in computational neuroscience, 16 (2022), p. 910735