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时分辨和时变自适应的尖峰序列同步度量方法。

Time-resolved and time-scale adaptive measures of spike train synchrony.

机构信息

Institute for Complex Systems, Consiglio Nazionale delle Ricerche, Sesto Fiorentino, Italy.

出版信息

J Neurosci Methods. 2011 Jan 30;195(1):92-106. doi: 10.1016/j.jneumeth.2010.11.020. Epub 2010 Dec 1.

Abstract

A wide variety of approaches to estimate the degree of synchrony between two or more spike trains have been proposed. One of the most recent methods is the ISI-distance which extracts information from the interspike intervals (ISIs) by evaluating the ratio of the instantaneous firing rates. In contrast to most previously proposed measures it is parameter free and time-scale independent. However, it is not well suited to track changes in synchrony that are based on spike coincidences. Here we propose the SPIKE-distance, a complementary measure which is sensitive to spike coincidences but still shares the fundamental advantages of the ISI-distance. In particular, it is easy to visualize in a time-resolved manner and can be extended to a method that is also applicable to larger sets of spike trains. We show the merit of the SPIKE-distance using both simulated and real data.

摘要

已经提出了多种方法来估计两个或多个尖峰(train)之间的同步程度。最近的方法之一是 ISI 距离,它通过评估瞬时放电率的比值从尖峰间隔(interspike intervals, ISIs)中提取信息。与大多数以前提出的度量标准不同,它是无参数且与时间尺度无关的。然而,它不太适合跟踪基于尖峰重合的同步变化。在这里,我们提出了 SPIKE 距离,这是一种互补的度量标准,对尖峰重合敏感,但仍共享 ISI 距离的基本优势。特别是,它可以以时间分辨的方式轻松可视化,并可以扩展到适用于更大的尖峰 train 集的方法。我们使用模拟和真实数据展示了 SPIKE 距离的优点。

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