Hampel David, Lansky Petr
Department of Mathematics and Statistics, Faculty of Science, Masaryk University, Janackovo nam. 2a, 60200 Brno, Czech Republic.
J Neurosci Methods. 2008 Jun 30;171(2):288-95. doi: 10.1016/j.jneumeth.2008.03.003. Epub 2008 Mar 22.
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.
不应期概念在许多神经生理学研究中作为已开发方法的一部分被加以利用。与这些方法相关的计算会受到不应期估计值的影响。在本文中，针对三种神经元模型比较了参数化和非参数化不应期估计方法（最小值、最大似然估计、最小风险估计等）。从模拟数据获得的结果说明了不同技术的准确性和偏差。还对实验数据进行了研究，以展示所讨论方法的局限性。
