Modulation of cortical Up-Down state switching by astrocytes (Moyse & Berry, 2022)

Recent experimental studies have suggested that the astrocytes of the local network can actually control the emergence of Up-Down regimes. Here we propose and study a neural net- work model to explore the implication of astrocytes in this dynamical phenomenon. We consider three populations of cells: excitatory neurons, inhibitory neurons and astrocytes, interconnected by gliotransmission events, from neurons to astrocytes and back. We derive two models for this three-population system: a rate model and a stochastic spiking neural network with thousands of neurons and astrocytes. In numerical simulations of these three-population models, the presence of astrocytes is indeed observed to promote the emergence of Up-Down regimes with realistic characteristics.

Model Type: Neuron or other electrically excitable cell; Glia

Region(s) or Organism(s): Neocortex

Cell Type(s): Abstract integrate-and-fire leaky neuron; Abstract rate-based neuron

Model Concept(s): Bifurcation; Oscillations

Implementer(s): Berry, Hughes [hughes.berry at]


Blum Moyse L, Berry H. (2022). Modelling the modulation of cortical Up-Down state switching by astrocytes PLoS computational biology. 18 [PubMed]

This website requires cookies and limited processing of your personal data in order to function. By continuing to browse or otherwise use this site, you are agreeing to this use. See our Privacy policy and how to cite and terms of use.