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Evaluation of stochastic diff. eq. approximation of ion channel gating models (Bruce 2009)
Accession: 118195
Fox and Lu derived an algorithm based on stochastic differential equations for approximating the kinetics of ion channel gating that is simpler and faster than "exact" algorithms for simulating Markov process models of channel gating. However, the approximation may not be sufficiently accurate to predict statistics of action potential generation in some cases. The objective of this study was to develop a framework for analyzing the inaccuracies and determining their origin. Simulations of a patch of membrane with voltage-gated sodium and potassium channels were performed using an exact algorithm for the kinetics of channel gating and the approximate algorithm of Fox & Lu. ... The results indicate that: (i) the source of the inaccuracy is that the Fox & Lu algorithm does not adequately describe the combined behavior of the multiple activation particles in each sodium and potassium channel, and (ii) the accuracy does not improve with increasing numbers of channels.
Reference: Bruce IC (2009) Evaluation of stochastic differential equation approximation of ion channel gating models. Ann Biomed Eng 37:824-38 [PubMed]
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Model Type:  Channel;
Brain Region(s)/Organism:  
Cell Type(s):   
Channel(s):   
Gap Junctions:  
Receptor(s):  
Gene(s):  
Transmitter(s):  
Simulation Environment:  MATLAB (web link to model);
Model Concept(s):  Ion Channel Kinetics; Methods;
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bruce (abme 2009) stochastic hodgkin–huxley model code

Note from the ModelDB administrator: the below is a copy of the author's web page http://www.ece.mcmaster.ca/~ibruce/bruce_evalFox/bruce_evalFox.htm taken on March 18th, 2009:


Source code for the Bruce (ABME 2009) Stochastic Hodgkin–Huxley Models

This is Version 1.0 of the public distribution of the code for the stochastic Hodgkin–Huxley models of:

Bruce, I. C. (2009). "Evaluation of stochastic differential equation approximation of ion channel gating models," Annals of Biomedical Engineering 37(4):824–838.

Please cite this paper if you publish any research results obtained with this code or any modified versions of this code.

The code is archived in the following formats:

The files in both of these archives are identical. A file readme.txt included in the archives gives instructions on running the code.

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Created by Ian Bruce <ibruce@ieee.org> - last modified Wednesday, March 18, 2009


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