DocumentCode :
2466729
Title :
Comparison of continuous and discrete stochastic ion channel models
Author :
Dangerfield, Ciara Ellen ; Kay, David ; Burrage, Kevin
Author_Institution :
Computing Laboratory, University of Oxford, Oxford, UK
fYear :
2011
fDate :
Aug. 30 2011-Sept. 3 2011
Firstpage :
704
Lastpage :
707
Abstract :
The stochastic behaviour of ion channels can be described by a discrete model or by an approximate continuous approach. While the discrete approach is exact, it is also less computationally efficient, and so the continuous model is often the method of choice since it allows for incorporation into a multiscale environment. However, in recent years the accuracy of the stochastic continuous approach for calculating statistics of certain quantities in the Hodgkin-Huxley model has come into question. In this paper, we show that by correct formulation of the continuous model, the first two moments in the number of open sodium and potassium channels in the Hodgkin-Huxley model, calculated under voltage clamp conditions using the continuous approach are in good agreement with those obtained from the discrete model.
Keywords :
Approximation methods; Computational modeling; Equations; Heuristic algorithms; Mathematical model; Numerical models; Stochastic processes; Action Potentials; Animals; Cell Membrane; Computer Simulation; Humans; Ion Channel Gating; Ion Channels; Membrane Potentials; Models, Neurological; Models, Statistical; Neurons; Stochastic Processes;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE
Conference_Location :
Boston, MA
ISSN :
1557-170X
Print_ISBN :
978-1-4244-4121-1
Electronic_ISBN :
1557-170X
Type :
conf
DOI :
10.1109/IEMBS.2011.6090159
Filename :
6090159
Link To Document :
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