CUED Publications database

Switchable slow cellular conductances determine robustness and tunability of network states

Drion, G and Dethier, J and Franci, A and Sepulchre, R (2018) Switchable slow cellular conductances determine robustness and tunability of network states. PLoS Computational Biology, 14. e1006125-. ISSN 1553-734X

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Abstract

© 2018 Drion et al. 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.

Item Type: Article
Uncontrolled 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
Subjects: UNSPECIFIED
Divisions: Div F > Control
Depositing User: Cron Job
Date Deposited: 01 May 2018 02:05
Last Modified: 12 Nov 2019 04:10
DOI: 10.1371/journal.pcbi.1006125