Systematic analysis of the contributions of stochastic voltage gated channels to neuronal noise.
Bottom Line:
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.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.
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Affiliation: Computational Neurobiology Laboratory, Salk Institute for Biological Studies La Jolla, CA, USA ; School of Informatics, Institute for Adaptive and Neural Computation, University of Edinburgh Edinburgh, UK.
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. No MeSH data available. Related in: MedlinePlus |
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Mentions: The function z(τ) is an impedance that relates the voltage variance to the current variance of injected colored noise with time-constant τ. It is given by z2(τ) = ∫ SI(f)/Z(f)/2df, where is the power-spectrum of the noise current, and Z(f) the linearized impedance of the HH model. Its shape reflects the resonance in the impedance, Figure 5A. As a result of this impedance correction the membrane voltage variance in the limit of small fluctuations equals σ2V and is thus independent of τ. |
View Article: PubMed Central - PubMed
Affiliation: Computational Neurobiology Laboratory, Salk Institute for Biological Studies La Jolla, CA, USA ; School of Informatics, Institute for Adaptive and Neural Computation, University of Edinburgh Edinburgh, UK.
No MeSH data available.