Literature DB >> 11030518

Subthreshold voltage noise due to channel fluctuations in active neuronal membranes.

P N Steinmetz1, A Manwani, C Koch, M London, I Segev.   

Abstract

Voltage-gated ion channels in neuronal membranes fluctuate randomly between different conformational states due to thermal agitation. Fluctuations between conducting and nonconducting states give rise to noisy membrane currents and subthreshold voltage fluctuations and may contribute to variability in spike timing. Here we study subthreshold voltage fluctuations due to active voltage-gated Na+ and K+ channels as predicted by two commonly used kinetic schemes: the Mainen et al. (1995) (MJHS) kinetic scheme, which has been used to model dendritic channels in cortical neurons, and the classical Hodgkin-Huxley (1952) (HH) kinetic scheme for the squid giant axon. We compute the magnitudes, amplitude distributions, and power spectral densities of the voltage noise in isopotential membrane patches predicted by these kinetic schemes. For both schemes, noise magnitudes increase rapidly with depolarization from rest. Noise is larger for smaller patch areas but is smaller for increased model temperatures. We contrast the results from Monte Carlo simulations of the stochastic nonlinear kinetic schemes with analytical, closed-form expressions derived using passive and quasi-active linear approximations to the kinetic schemes. For all subthreshold voltage ranges, the quasi-active linearized approximation is accurate within 8% and may thus be used in large-scale simulations of realistic neuronal geometries.

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Year:  2000        PMID: 11030518     DOI: 10.1023/a:1008967807741

Source DB:  PubMed          Journal:  J Comput Neurosci        ISSN: 0929-5313            Impact factor:   1.621


  39 in total

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Authors:  A Manwani; C Koch
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Review 2.  Detecting and estimating signals in noisy cable structures, II: information theoretical analysis.

Authors:  A Manwani; C Koch
Journal:  Neural Comput       Date:  1999-11-15       Impact factor: 2.026

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Authors:  R J van den Berg; J de Goede; A A Verveen
Journal:  Pflugers Arch       Date:  1975-10-16       Impact factor: 3.657

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Journal:  J Theor Biol       Date:  1991-01-21       Impact factor: 2.691

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Authors:  R F Fox
Journal:  Biophys J       Date:  1997-05       Impact factor: 4.033

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Journal:  Biophys J       Date:  1969-10       Impact factor: 4.033

7.  Membrane current and noise measurements in voltage-clamped node of Ranvier.

Authors:  R J van den Berg; W H Rijnsburger
Journal:  J Membr Biol       Date:  1980-12-30       Impact factor: 1.843

8.  Firing behaviour in stochastic nerve membrane models with different pore densities.

Authors:  E Skaugen
Journal:  Acta Physiol Scand       Date:  1980-01

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Authors:  D Paré; E Shink; H Gaudreau; A Destexhe; E J Lang
Journal:  J Neurophysiol       Date:  1998-03       Impact factor: 2.714

10.  Firing behaviour in nerve cell models with a two-state pore system.

Authors:  E Skaugen
Journal:  Acta Physiol Scand       Date:  1980-08
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  37 in total

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2.  A novel mechanism for irregular firing of a neuron in response to periodic stimulation: irregularity in the absence of noise.

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3.  Dynamics of rat entorhinal cortex layer II and III cells: characteristics of membrane potential resonance at rest predict oscillation properties near threshold.

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Review 6.  Ionic channel function in action potential generation: current perspective.

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Journal:  Mol Neurobiol       Date:  2007-04       Impact factor: 5.590

7.  Numerical exploration of the influence of neural noise on the psychometric function at low stimulation intensity levels.

Authors:  C M Gomez
Journal:  J Biosci       Date:  2008-12       Impact factor: 1.826

8.  Using computer simulations to determine the limitations of dynamic clamp stimuli applied at the soma in mimicking distributed conductance sources.

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Journal:  J Neurophysiol       Date:  2011-02-16       Impact factor: 2.714

9.  A theory for how sensorimotor skills are learned and retained in noisy and nonstationary neural circuits.

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Journal:  Proc Natl Acad Sci U S A       Date:  2013-12-09       Impact factor: 11.205

10.  Decoding of dopaminergic mesolimbic activity and depressive behavior.

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