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Two-state stochastic models for memory in ion channels

   
@article{APS6242,
	author = {Ji-Qian Fang and Tao-Yang Ni and Cheng-Zhu Fu and Qing Fan and Yong-Yuan Guan},
	title = {Two-state stochastic models for memory in ion channels},
	journal = {Acta Pharmacologica Sinica},
	volume = {17},
	number = {1},
	year = {2016},
	keywords = {},
	abstract = {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.},
	issn = {1745-7254},	url = {http://www.chinaphar.com/article/view/6242}
}