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Switchable slow cellular conductances determine robustness and tunability of network states.

Published version
Peer-reviewed

Type

Article

Change log

Authors

Drion, Guillaume 
Dethier, Julie 
Franci, Alessio 
Sepulchre, Rodolphe  ORCID logo  https://orcid.org/0000-0002-7047-3124

Abstract

Neuronal information processing is regulated by fast and localized fluctuations of brain states. Brain states reliably switch between distinct spatiotemporal signatures at a network scale even though they are composed of heterogeneous and variable rhythms at a cellular scale. We investigated the mechanisms of this network control in a conductance-based population model that reliably switches between active and oscillatory mean-fields. Robust control of the mean-field properties relies critically on a switchable negative intrinsic conductance at the cellular level. This conductance endows circuits with a shared cellular positive feedback that can switch population rhythms on and off at a cellular resolution. The switch is largely independent from other intrinsic neuronal properties, network size and synaptic connectivity. It is therefore compatible with the temporal variability and spatial heterogeneity induced by slower regulatory functions such as neuromodulation, synaptic plasticity and homeostasis. Strikingly, the required cellular mechanism is available in all cell types that possess T-type calcium channels but unavailable in computational models that neglect the slow kinetics of their activation.

Description

Keywords

Action Potentials, Animals, Brain, Calcium Channels, T-Type, Computational Biology, Computer Simulation, Electrophysiological Phenomena, Humans, Kinetics, Models, Neurological, Nerve Net, Neural Networks, Computer, Neuronal Plasticity, Neurons

Journal Title

PLoS Comput Biol

Conference Name

Journal ISSN

1553-734X
1553-7358

Volume Title

14

Publisher

Public Library of Science (PLoS)
Sponsorship
European Research Council (670645)