Franci, A and Drion, G and Seutin, V and Sepulchre, R (2013) A Balance Equation Determines a Switch in Neuronal Excitability. PLoS Computational Biology, 9. ISSN 1553-734XFull text not available from this repository.
We use the qualitative insight of a planar neuronal phase portrait to detect an excitability switch in arbitrary conductance-based models from a simple mathematical condition. The condition expresses a balance between ion channels that provide a negative feedback at resting potential (restorative channels) and those that provide a positive feedback at resting potential (regenerative channels). Geometrically, the condition imposes a transcritical bifurcation that rules the switch of excitability through the variation of a single physiological parameter. Our analysis of six different published conductance based models always finds the transcritical bifurcation and the associated switch in excitability, which suggests that the mathematical predictions have a physiological relevance and that a same regulatory mechanism is potentially involved in the excitability and signaling of many neurons. © 2013 Franci et al.
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|Date Deposited:||09 Dec 2016 17:13|
|Last Modified:||17 Jan 2017 22:43|