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PMID: 4715583 Published · ppublish English Journal Article

Branch input resistance and steady attenuation for input to one branch of a dendritic neuron model.

Biophysical journal ·Vol. 13 ·No. 7 ·1973-07-00 ·Pages 648-87

Rall W, Rinzel J

Abstract

Mathematical solutions and numerical illustrations are presented for the steady-state distribution of membrane potential in an extensively branched neuron model, when steady electric current is injected into only one dendritic branch. Explicit expressions are obtained for input resistance at the branch input site and for voltage attenuation from the input site to the soma; expressions for AC steady-state input impedance and attenuation are also presented. The theoretical model assumes passive membrane properties and the equivalent cylinder constraint on branch diameters. Numerical examples illustrate how branch input resistance and steady attenuation depend upon the following: the number of dendritic trees, the orders of dendritic branching, the electrotonic length of the dendritic trees, the location of the dendritic input site, and the input resistance at the soma. The application to cat spinal motoneurons, and to other neuron types, is discussed. The effect of a large dendritic input resistance upon the amount of local membrane depolarization at the synaptic site, and upon the amount of depolarization reaching the soma, is illustrated and discussed; simple proportionality with input resistance does not hold, in general. Also, branch input resistance is shown to exceed the input resistance at the soma by an amount that is always less than the sum of core resistances along the path from the input site to the soma.

MeSH Terms
Dendrites/physiology Mathematics Membrane Potentials Models, Biological Potentiometry
Authors & Affiliations
2 authors, click to expand affiliations / ORCID
Rall W
Rinzel J
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28 references, click to expand
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Article Info
Journal
Biophysical journal
Abbr.
Biophys J
ISSN
0006-3495
Published
1973-07-00
Pages
648-87
Language
English
Region
United States
NLM ID
0370626
PMCID
PMC1484314
Subset
IM
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