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

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

SUBMITTER: Drion G 

PROVIDER: S-EPMC5940245 | biostudies-literature | 2018 Apr

REPOSITORIES: biostudies-literature