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Maximum Likelihood Estimation and Identification Directly from Single-Channel Recordings
Donald R. Fredkin and John A. Rice
Proceedings: Biological Sciences
Vol. 249, No. 1325 (Aug. 22, 1992), pp. 125-132
Published by: Royal Society
Stable URL: http://www.jstor.org/stable/49815
Page Count: 8
You can always find the topics here!Topics: Maximum likelihood estimation, Kinetics, Parametric models, Signal noise, Statistical estimation, Maximum likelihood estimators, Standard deviation, Markov models, Histograms, Markov chains
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We present a method for analysis of noisy sampled data from a single-channel patch clamp which bypasses restoration of an idealized quantal signal. We show that, even in the absence of a specific model, the conductance levels and mean dwell times within those levels can be estimated. Estimation of the rate constants of a hypothesized kinetic scheme is more difficult. We present examples in which the rate constants can be effectively estimated and examples in which they cannot.
Proceedings: Biological Sciences © 1992 Royal Society