Two-state stochastic models for memory in ion channels.
OBJECTIVE
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.


CONCLUSIONS
The memory in ion channels can be quantitatively modelled as stochastic process with 2 states.
Fang
J Q
JQ
Department of Medical Statistics, Sun Yat-Sen University of Medical Sciences, Guangzhou, China.
Ni
T Y
TY
Fu
C Z
CZ
Fan
J
J
Guan
Y Y
YY
D000310:Adrenal Gland Neoplasms / Q000473:pathology; D006801:Humans; D007473:Ion Channels; D008390:Markov Chains; D008568:Memory; D008570:Memory, Short-Term; D009414:Nerve Growth Factors / Q000494:pharmacology; D010673:Pheochromocytoma / Q000473:pathology; D014407:Tumor Cells, Cultured / Q000187:drug effects
D007473:Ion Channels; D009414:Nerve Growth Factors