Literature DB >> 15050381

From Maxwell's equations to the cable equation and beyond.

K A Lindsay1, J R Rosenberg, G Tucker.   

Abstract

Maxwell's equations are taken as the starting point for the development of a mathematical model of a dendrite. The three-dimensional model of the evolution of the dendritic membrane potential based on these equations gives rise to a hierarchy of one-dimensional membrane equations. Under sufficiently strong assumptions, the first membrane equation is identical to the conventional cable equation. The second membrane equation explicitly includes the influence of dendritic taper and non-axial gradients in the intra-cellular potential. The procedure of starting from a three-dimensional model and extracting from it a one-dimensional approximation provides a prescription of how to incorporate three-dimensional properties of a dendrite in a one-dimensional representation, by contrast with an approach which aims to modify the traditional cable equation to take account of three-dimensional structure. Finite element methods are used to solve the membrane equations. An example based on a simple model of a tapered dendrite with differently placed distributions of synaptic input suggests that the effect of taper on the spike train output from the model is more important for distal synapses than those closer to the soma.

Mesh:

Year:  2004        PMID: 15050381     DOI: 10.1016/j.pbiomolbio.2003.08.001

Source DB:  PubMed          Journal:  Prog Biophys Mol Biol        ISSN: 0079-6107            Impact factor:   3.667


  5 in total

1.  Modelling in vivo action potential propagation along a giant axon.

Authors:  Stuart George; Jamie M Foster; Giles Richardson
Journal:  J Math Biol       Date:  2014-02-20       Impact factor: 2.259

2.  Modeling Neurons in 3D at the Nanoscale.

Authors:  Weiliang Chen; Iain Hepburn; Alexey Martyushev; Erik De Schutter
Journal:  Adv Exp Med Biol       Date:  2022       Impact factor: 3.650

3.  VolRoverN: enhancing surface and volumetric reconstruction for realistic dynamical simulation of cellular and subcellular function.

Authors:  John Edwards; Eric Daniel; Justin Kinney; Tom Bartol; Terrence Sejnowski; Daniel Johnston; Kristen Harris; Chandrajit Bajaj
Journal:  Neuroinformatics       Date:  2014-04

4.  Efficient calculation of the quasi-static electrical potential on a tetrahedral mesh and its implementation in STEPS.

Authors:  Iain Hepburn; Robert Cannon; Erik De Schutter
Journal:  Front Comput Neurosci       Date:  2013-10-29       Impact factor: 2.380

5.  Induced mitochondrial membrane potential for modeling solitonic conduction of electrotonic signals.

Authors:  R R Poznanski; L A Cacha; J Ali; Z H Rizvi; P Yupapin; S H Salleh; A Bandyopadhyay
Journal:  PLoS One       Date:  2017-09-07       Impact factor: 3.240

  5 in total

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