• 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