Modelling the modulation of cortical Up-Down state switching by astrocytes.

ABSTRACT: Up-Down synchronization in neuronal networks refers to spontaneous switches between periods of high collective firing activity (Up state) and periods of silence (Down state). Recent experimental reports have shown that astrocytes can control the emergence of such Up-Down regimes in neural networks, although the molecular or cellular mechanisms that are involved are still uncertain. Here we propose neural network models made of three populations of cells: excitatory neurons, inhibitory neurons and astrocytes, interconnected by synaptic and gliotransmission events, to explore how astrocytes can control this phenomenon. The presence of astrocytes in the models is indeed observed to promote the emergence of Up-Down regimes with realistic characteristics. Our models show that the difference of

SUBMITTER: Blum Moyse L 

PROVIDER: S-EPMC9345492 | biostudies-literature | 2022 Jul

REPOSITORIES: biostudies-literature