Kreuz Thomas, Haas Julie S, Morelli Alice, Abarbanel Henry D I, Politi Antonio
Istituto dei Sistemi Complessi, CNR, Sesto Fiorentino, Italy.
J Neurosci Methods. 2007 Sep 15;165(1):151-61. doi: 10.1016/j.jneumeth.2007.05.031. Epub 2007 Jun 2.
Estimating the degree of synchrony or reliability between two or more spike trains is a frequent task in both experimental and computational neuroscience. In recent years, many different methods have been proposed that typically compare the timing of spikes on a certain time scale to be optimized by the analyst. Here, we propose the ISI-distance, a simple complementary approach that extracts information from the interspike intervals by evaluating the ratio of the instantaneous firing rates. The method is parameter free, time scale independent and easy to visualize as illustrated by an application to real neuronal spike trains obtained in vitro from rat slices. In a comparison with existing approaches on spike trains extracted from a simulated Hindemarsh-Rose network, the ISI-distance performs as well as the best time-scale-optimized measure based on spike timing.
估计两个或多个脉冲序列之间的同步程度或可靠性是实验神经科学和计算神经科学中常见的任务。近年来，人们提出了许多不同的方法，这些方法通常会在特定时间尺度上比较脉冲的时间，由分析人员进行优化。在此，我们提出了ISI距离，这是一种简单的补充方法，通过评估瞬时发放率的比率从脉冲间隔中提取信息。该方法无需参数，与时间尺度无关，并且易于可视化，如应用于从大鼠脑片体外获得的真实神经元脉冲序列所示。在与从模拟的Hindemarsh-Rose网络提取的脉冲序列的现有方法进行比较时，ISI距离的表现与基于脉冲时间的最佳时间尺度优化测量方法相当。
