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Two-state stochastic models for memory in ion channels
1Department of Medical Statistics, Sun Yat-Sen University of Medical Sciences, Guangzhou, China.
Aim:
To study quantitatively the memory existing in ion channels.
Methods:
Stochastic processes were used to model 2 categories of memory (short-term and long-term) by persisting in the standpoint of two-state, instead of multiple states, but with different transition mechanism.
Results:
A two-state Markov process with constant transition intensities well fitted the short-term memory and a two-state Markov process within a kind of random environment well fitted the long-term memory. Statistical procedures for parameter estimation were proposed and demonstrated with 2 real examples on the channels of PC12 cells.
Conclusion:
The memory in ion channels can be quantitatively modelled as stochastic process with 2 states.