Literature DB >> 2579350

Membrane resistivity estimated for the Purkinje neuron by means of a passive computer model.

D P Shelton.   

Abstract

A multicompartment passive electrotonic computer model is constructed for the cerebellar Purkinje cell of the guinea-pig. The model has 1089 coupled compartments to accurately represent the morphology of the Purkinje cell. In order that the calculated behavior of the model fit the published electrophysiological observations of somatic and dendritic input conductance, the neural membrane resistivity must be spatially non-uniform. The passive electrical parameter values for which the model best fits the observations of input conductances, pulse attenuation and current-clamp voltage transients are rm,dend = 45,740 omega cm2, rm,soma = 760 omega cm2, ri = 225 omega cm and cm = 1.16 microF/cm2 (the membrane and cytoplasm specific resistivities and membrane specific capacitance, respectively). The model with these parameter values is electrically compact, with electrotonic length X = 0.33 and dendritic dominance ratio p = 0.44. Analysis of the calculated voltage transient of the multicompartment model by the methods of equivalent-cylinder cable theory is shown to result in very different and unreliable conclusions. The significance for neuronal function of the estimated electrical parameter values is discussed. The possible effect of active conductances on these conclusions is assessed.

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Year:  1985        PMID: 2579350     DOI: 10.1016/0306-4522(85)90168-x

Source DB:  PubMed          Journal:  Neuroscience        ISSN: 0306-4522            Impact factor:   3.590


  31 in total

1.  Signals in stochastically generated neurons.

Authors:  J L Winslow; S F Jou; S Wang; J M Wojtowicz
Journal:  J Comput Neurosci       Date:  1999-01       Impact factor: 1.621

2.  The composite neuron: a realistic one-compartment Purkinje cell model suitable for large-scale neuronal network simulations.

Authors:  A D Coop; G N Reeke
Journal:  J Comput Neurosci       Date:  2001 Mar-Apr       Impact factor: 1.621

3.  Action potentials in basal and oblique dendrites of rat neocortical pyramidal neurons.

Authors:  Srdjan D Antic
Journal:  J Physiol       Date:  2003-05-02       Impact factor: 5.182

4.  The parameter identification problem for the somatic shunt model.

Authors:  J A White; P B Manis; E D Young
Journal:  Biol Cybern       Date:  1992       Impact factor: 2.086

5.  Cable properties of arborized Retzius cells of the leech in culture as probed by a voltage-sensitive dye.

Authors:  P Fromherz; T Vetter
Journal:  Proc Natl Acad Sci U S A       Date:  1992-03-15       Impact factor: 11.205

6.  Dendritic signals command firing dynamics in a mathematical model of cerebellar Purkinje cells.

Authors:  Stéphane Genet; Loïc Sabarly; Emmanuel Guigon; Hugues Berry; Bruno Delord
Journal:  Biophys J       Date:  2010-07-21       Impact factor: 4.033

7.  Factors mediating powerful voltage attenuation along CA1 pyramidal neuron dendrites.

Authors:  Nace L Golding; Timothy J Mickus; Yael Katz; William L Kath; Nelson Spruston
Journal:  J Physiol       Date:  2005-07-07       Impact factor: 5.182

8.  Synaptic background activity influences spatiotemporal integration in single pyramidal cells.

Authors:  O Bernander; R J Douglas; K A Martin; C Koch
Journal:  Proc Natl Acad Sci U S A       Date:  1991-12-15       Impact factor: 11.205

9.  Determinants of voltage attenuation in neocortical pyramidal neuron dendrites.

Authors:  G Stuart; N Spruston
Journal:  J Neurosci       Date:  1998-05-15       Impact factor: 6.167

10.  The intrinsic electrophysiological characteristics of fly lobula plate tangential cells: I. Passive membrane properties.

Authors:  A Borst; J Haag
Journal:  J Comput Neurosci       Date:  1996-12       Impact factor: 1.621

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