Levakova Marie, Tamborrino Massimiliano, Ditlevsen Susanne, Lansky Petr
Institute of Physiology, The Czech Academy of Sciences, Videnska 1083, 14220 Prague 4, Czech Republic.
Institute for Stochastics, Johannes Kepler University Linz, Altenbergerstraße 69, 4040 Linz, Austria.
Biosystems. 2015 Oct;136:23-34. doi: 10.1016/j.biosystems.2015.04.008. Epub 2015 May 1.
Neuronal response latency is usually vaguely defined as the delay between the stimulus onset and the beginning of the response. It contains important information for the understanding of the temporal code. For this reason, the detection of the response latency has been extensively studied in the last twenty years, yielding different estimation methods. They can be divided into two classes, one of them including methods based on detecting an intensity change in the firing rate profile after the stimulus onset and the other containing methods based on detection of spikes evoked by the stimulation using interspike intervals and spike times. The aim of this paper is to present a review of the main techniques proposed in both classes, highlighting their advantages and shortcomings.
神经元反应潜伏期通常被模糊地定义为刺激开始与反应开始之间的延迟。它包含了理解时间编码的重要信息。因此，在过去二十年中，对反应潜伏期的检测进行了广泛研究，产生了不同的估计方法。它们可分为两类，一类包括基于检测刺激开始后放电率曲线强度变化的方法，另一类包括基于使用峰峰间期和峰时间检测刺激诱发的尖峰的方法。本文的目的是对这两类中提出的主要技术进行综述，突出它们的优点和缺点。
