Literature DB >> 7693002

Simulation study on effects of channel noise on differential conduction at an axon branch.

Y Horikawa1.   

Abstract

Effects of membrane channel noise (random opening and closing of ion channels) are studied on spike conduction at a branching point on an axon. Computer simulation is done on the basis of a stochastic version of the Hodgkin-Huxley cable model, into which the channel noise is incorporated. It is shown that the channel noise makes conduction of spikes into daughter branches random; spikes randomly succeed or fail in conduction into daughter branches. The conduction is then randomly differential even though the forms and properties of daughter branches are the same. The randomness is considerable when the radius of an axon is small (approximately 1 microns).

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Year:  1993        PMID: 7693002      PMCID: PMC1225770          DOI: 10.1016/S0006-3495(93)81096-8

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


  21 in total

1.  Potassium and sodium ion current noise in the membrane of the squid giant axon.

Authors:  F Conti; L J De Felice; E Wanke
Journal:  J Physiol       Date:  1975-06       Impact factor: 5.182

2.  Physiology of peripheral nerve fibres in relation to their size.

Authors:  J J Jack
Journal:  Br J Anaesth       Date:  1975-02       Impact factor: 9.166

3.  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

4.  The effect of membrane parameters on the properties of the nerve impulse.

Authors:  N H Sabah; K N Leibovic
Journal:  Biophys J       Date:  1972-09       Impact factor: 4.033

5.  Changes of action potential shape and velocity for changing core conductor geometry.

Authors:  S S Goldstein; W Rall
Journal:  Biophys J       Date:  1974-10       Impact factor: 4.033

6.  A mathematical model for conduction of action potentials along bifurcating axons.

Authors:  I Parnas; I Segev
Journal:  J Physiol       Date:  1979-10       Impact factor: 5.182

7.  Mechanisms involved in differential conduction of potentials at high frequency in a branching axon.

Authors:  Y Grossman; I Parnas; M E Spira
Journal:  J Physiol       Date:  1979-10       Impact factor: 5.182

8.  Differential conduction block in branches of a bifurcating axon.

Authors:  Y Grossman; I Parnas; M E Spira
Journal:  J Physiol       Date:  1979-10       Impact factor: 5.182

9.  Firing behaviour in a stochastic nerve membrane model based upon the Hodgkin-Huxley equations.

Authors:  E Skaugen; L Walløe
Journal:  Acta Physiol Scand       Date:  1979-12

10.  Digital computer solutions for excitation and propagation of the nerve impulse.

Authors:  J W Cooley; F A Dodge
Journal:  Biophys J       Date:  1966-09       Impact factor: 4.033

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  3 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.  Spike propagation in dendrites with stochastic ion channels.

Authors:  Kamran Diba; Christof Koch; Idan Segev
Journal:  J Comput Neurosci       Date:  2006-02-20       Impact factor: 1.621

3.  Branching morphology determines signal propagation dynamics in neurons.

Authors:  Netanel Ofer; Orit Shefi; Gur Yaari
Journal:  Sci Rep       Date:  2017-08-21       Impact factor: 4.379

  3 in total

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