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Systematic analysis of the contributions of stochastic voltage gated channels to neuronal noise

O'Donnell, Cian; van Rossum, Mark C.W.

Authors

Cian O'Donnell

Mark C.W. van Rossum



Abstract

Electrical signaling in neurons is mediated by the opening and closing of large numbers of individual ion channels. The ion channels' state transitions are stochastic and introduce fluctuations in the macroscopic current through ion channel populations. This creates an unavoidable source of intrinsic electrical noise for the neuron, leading to fluctuations in the membrane potential and spontaneous spikes. While this effect is well known, the impact of channel noise on single neuron dynamics remains poorly understood. Most results are based on numerical simulations. There is no agreement, even in theoretical studies, on which ion channel type is the dominant noise source, nor how inclusion of additional ion channel types affects voltage noise. Here we describe a framework to calculate voltage noise directly from an arbitrary set of ion channel models, and discuss how this can be use to estimate spontaneous spike rates.

Journal Article Type Article
Publication Date Sep 4, 2014
Journal Frontiers in Computational Neuroscience
Electronic ISSN 1662-5188
Publisher Frontiers Media
Peer Reviewed Peer Reviewed
Volume 8
APA6 Citation O'Donnell, C., & van Rossum, M. C. (2014). Systematic analysis of the contributions of stochastic voltage gated channels to neuronal noise. Frontiers in Computational Neuroscience, 8, https://doi.org/10.3389/fncom.2014.00105
DOI https://doi.org/10.3389/fncom.2014.00105
Keywords channel noise, voltage-gated ion channels, Hodgkin–Huxley, spontaneous firing, simulation
Publisher URL https://www.frontiersin.org/articles/10.3389/fncom.2014.00105/full
Copyright Statement Copyright information regarding this work can be found at the following address: http://creativecommons.org/licenses/by/4.0

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Copyright Statement
Copyright information regarding this work can be found at the following address: http://creativecommons.org/licenses/by/4.0





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