Literature DB >> 5167400

Theory of threshold fluctuations in nerves. I. Relationships between electrical noise and fluctuations in axon firing.

H Lecar, R Nossal.   

Abstract

Relations describing threshold fluctuation phenomena in nerves are derived by calculating the approximate response of the Hodgkin-Huxley (HH) axon to electrical noise. We use FitzHugh's reduced phase space approximation and describe the dynamics of a noisy nerve by a two-dimensional brownian motion. The theory predicts the functional form and parametric dependence of the relation between probability of firing and stimulus strength. Expressions are also obtained for the firing probability as a function of stimulus duration and for the distribution of latency times as a function of stimulus strength.

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Year:  1971        PMID: 5167400      PMCID: PMC1484098          DOI: 10.1016/S0006-3495(71)86277-X

Source DB:  PubMed          Journal:  Biophys J        ISSN: 0006-3495            Impact factor:   4.033


  6 in total

1.  THE ACTION POTENTIAL IN THE MYELINATED NERVE FIBER OF XENOPUS LAEVIS AS COMPUTED ON THE BASIS OF VOLTAGE CLAMP DATA.

Authors:  B FRANKENHAEUSER; A F HUXLEY
Journal:  J Physiol       Date:  1964-06       Impact factor: 5.182

2.  A quantitative description of membrane current and its application to conduction and excitation in nerve.

Authors:  A L HODGKIN; A F HUXLEY
Journal:  J Physiol       Date:  1952-08       Impact factor: 5.182

3.  Impulses and Physiological States in Theoretical Models of Nerve Membrane.

Authors:  R Fitzhugh
Journal:  Biophys J       Date:  1961-07       Impact factor: 4.033

4.  Nerve membrane excitation without threshold.

Authors:  K S Cole; R Guttman; F Bezanilla
Journal:  Proc Natl Acad Sci U S A       Date:  1970-04       Impact factor: 11.205

5.  The threshold conditions for initiation of action potentials by excitable cells.

Authors:  D Noble; R B Stein
Journal:  J Physiol       Date:  1966-11       Impact factor: 5.182

6.  Computed action potential in nerve from Xenopus laevis.

Authors:  B Frankenhaeuser
Journal:  J Physiol       Date:  1965-10       Impact factor: 5.182

  6 in total
  30 in total

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

Authors:  P N Steinmetz; A Manwani; C Koch; M London; I Segev
Journal:  J Comput Neurosci       Date:  2000 Sep-Oct       Impact factor: 1.621

2.  Small-signal analysis of the encoder mechanism in the lobster stretch receptor and the frog and cat muscle spindle.

Authors:  R A Chaplain
Journal:  Biol Cybern       Date:  1975-08-08       Impact factor: 2.086

3.  Noise and stochastic resonance in voltage-gated ion channels.

Authors:  Robert K Adair
Journal:  Proc Natl Acad Sci U S A       Date:  2003-09-23       Impact factor: 11.205

4.  Variations in excitability of single human motor axons, related to stochastic properties of nodal sodium channels.

Authors:  John Paul Hales; Cindy Shin-Yi Lin; Hugh Bostock
Journal:  J Physiol       Date:  2004-07-22       Impact factor: 5.182

5.  Voltage noise influences action potential duration in cardiac myocytes.

Authors:  Antti J Tanskanen; Luis H R Alvarez
Journal:  Math Biosci       Date:  2006-10-25       Impact factor: 2.144

6.  Noise effects on spike propagation in the stochastic Hodgkin-Huxley models.

Authors:  Y Horikawa
Journal:  Biol Cybern       Date:  1991       Impact factor: 2.086

7.  Dynamical instability determines the effect of ongoing noise on neural firing.

Authors:  David E O'Gorman; John A White; Christopher A Shera
Journal:  J Assoc Res Otolaryngol       Date:  2009-03-24

8.  Stochastic versions of the Hodgkin-Huxley equations.

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

9.  A threshold equation for action potential initiation.

Authors:  Jonathan Platkiewicz; Romain Brette
Journal:  PLoS Comput Biol       Date:  2010-07-08       Impact factor: 4.475

10.  Poisson process stimulation of an excitable membrane cable model.

Authors:  M D Goldfinger
Journal:  Biophys J       Date:  1986-07       Impact factor: 4.033

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