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

Cian O'Donnell, Mark C W van Rossum

Research output: Contribution to journalArticle (Academic Journal)peer-review

19 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)105
JournalFrontiers in Computational Neuroscience
Volume8
DOIs
Publication statusPublished - 2014

Fingerprint Dive into the research topics of 'Systematic analysis of the contributions of stochastic voltage gated channels to neuronal noise'. Together they form a unique fingerprint.

Cite this