On the estimation of refractory period
| Authors | |
|---|---|
| Year of publication | 2008 |
| Type | Article in Periodical |
| Magazine / Source | Journal of Neuroscience Methods |
| MU Faculty or unit | |
| 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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