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


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)