Literature DB >> 6698635

Efficient computation of branched nerve equations.

M Hines.   

Abstract

Three simple improvements are presented which, for a given accuracy, result in a 10-20-fold decrease in computation time for simulation of arbitrarily branched active cables with Hodgkin Huxley (HH) kinetics. The first improvement takes advantage of the essentially tridiagonal character of the matrix equation for each branch of a 'tree' network and solves the equations as efficiently as for an unbranched cable. The second improvement evaluates the HH membrane conductances at the midpoint of a time step, delta t, to maintain full second order accuracy, 0(delta t2), with no increase in the number of computational steps. The third improvement makes use of 'premultiplied' HH rate function tables for very efficient second order correct integration of HH membrane conductance.

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Year:  1984        PMID: 6698635     DOI: 10.1016/0020-7101(84)90008-4

Source DB:  PubMed          Journal:  Int J Biomed Comput        ISSN: 0020-7101


  61 in total

Review 1.  Neuromuscular control: introduction and overview.

Authors:  J L van Leeuwen
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  1999-05-29       Impact factor: 6.237

2.  Additional efficient computation of branched nerve equations: adaptive time step and ideal voltage clamp.

Authors:  L J Borg-Graham
Journal:  J Comput Neurosci       Date:  2000 May-Jun       Impact factor: 1.621

3.  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

4.  Mathematical modelling of non-stationary fluctuation analysis for studying channel properties of synaptic AMPA receptors.

Authors:  T A Benke; A Lüthi; M J Palmer; M A Wikström; W W Anderson; J T Isaac; G L Collingridge
Journal:  J Physiol       Date:  2001-12-01       Impact factor: 5.182

5.  Simulations of the role of the muscarinic-activated calcium-sensitive nonspecific cation current INCM in entorhinal neuronal activity during delayed matching tasks.

Authors:  Erik Fransen; Angel A Alonso; Michael E Hasselmo
Journal:  J Neurosci       Date:  2002-02-01       Impact factor: 6.167

6.  Two forms of electrical resonance at theta frequencies, generated by M-current, h-current and persistent Na+ current in rat hippocampal pyramidal cells.

Authors:  Hua Hu; Koen Vervaeke; Johan F Storm
Journal:  J Physiol       Date:  2002-12-15       Impact factor: 5.182

7.  Facilitation through buffer saturation: constraints on endogenous buffering properties.

Authors:  Victor Matveev; Robert S Zucker; Arthur Sherman
Journal:  Biophys J       Date:  2004-05       Impact factor: 4.033

8.  From biophysics to behavior: Catacomb2 and the design of biologically-plausible models for spatial navigation.

Authors:  Robert C Cannon; Michael E Hasselmo; Randal A Koene
Journal:  Neuroinformatics       Date:  2003

9.  The effect of dendritic voltage-gated conductances on the neuronal impedance: a quantitative model.

Authors:  Szabolcs Káli; Rita Zemankovics
Journal:  J Comput Neurosci       Date:  2012-02-17       Impact factor: 1.621

10.  Low-dimensional, morphologically accurate models of subthreshold membrane potential.

Authors:  Anthony R Kellems; Derrick Roos; Nan Xiao; Steven J Cox
Journal:  J Comput Neurosci       Date:  2009-01-27       Impact factor: 1.621

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