Biophysically grounded mean-field models of neural populations under electrical stimulation.

ABSTRACT: Electrical stimulation of neural systems is a key tool for understanding neural dynamics and ultimately for developing clinical treatments. Many applications of electrical stimulation affect large populations of neurons. However, computational models of large networks of spiking neurons are inherently hard to simulate and analyze. We evaluate a reduced mean-field model of excitatory and inhibitory adaptive exponential integrate-and-fire (AdEx) neurons which can be used to efficiently study the effects of electrical stimulation on large neural populations. The rich dynamical properties of this basic cortical model are described in detail and validated using large network simulations. Bifurcation diagrams reflecting the network's state reveal asynchronous up- and down-states, bistable regime

SUBMITTER: Cakan C 

PROVIDER: S-EPMC7200022 | biostudies-literature | 2020 Apr

REPOSITORIES: biostudies-literature