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  • 标题:Marked Continuous-Time Markov Chain Modelling of Burst Behaviour for Single Ion Channels
  • 本地全文:下载
  • 作者:Frank G. Ball ; Robin K. Milne ; Geoffrey F. Yeo
  • 期刊名称:Advances in Decision Sciences
  • 印刷版ISSN:2090-3359
  • 电子版ISSN:2090-3367
  • 出版年度:2007
  • 卷号:2007
  • DOI:10.1155/2007/48138
  • 出版社:Hindawi Publishing Corporation
  • 摘要:Patch clamp recordings from ion channels often show bursting behaviour, that is, periods of repetitive activity, which are noticeably separated from each other by periods of inactivity. A number of authors have obtained results for important properties of theoretical and empirical bursts when channel gating is modelled by a continuous-time Markov chain with a finite-state space. We show how the use of marked continuous-time Markov chains can simplify the derivation of (i) the distributions of several burst properties, including the total open time, the total charge transfer, and the number of openings in a burst, and (ii) the form of these distributions when the underlying gating process is time reversible and in equilibrium.
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