On the estimation of refractory period

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Authors

HAMPEL David LÁNSKÝ Petr

Year of publication 2008
Type Article in Periodical
Magazine / Source Journal of Neuroscience Methods
MU Faculty or unit

Faculty of Science

Citation
Field Applied statistics, operation research
Keywords Gamma distribution;Interspike intervals;Minimum risk estimates;Ornstein-Uhlenbeck neuronal model;Refractory period;Renewal process
Description The refractory period concept is exploited in many neurophysiological studies as a part of developed methods. Computations connected to these methods are influenced by the estimated value of refractory period. In this article, parametric and nonparametric refractory period estimation methods (minimum, maximum likelihood estimate, minimum risk estimate, etc.) are compared for three neuronal models. The results acquired from simulated data illustrate both accuracy and bias of different techniques. Experimental data are also investigated to show the limitations of the methods discussed.
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