Measuring spike train synchrony
Authors: Kreuz T., Haas J.S., Morelli A., Abarbanel H.D.I., Politi A.
Autors Affiliation: CNR, Ist Sistemi Complessi, Sesto Fiorentino, Italy
Abstract: 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. (c) 2007 Elsevier B.V. All rights reserved.
Journal/Review: JOURNAL OF NEUROSCIENCE METHODS
Volume: 165 (1) Pages from: 151 to: 161
KeyWords: time series analysis; spike trains; event synchronization; reliability clustering; neuronal codingDOI: 10.1016/j.jneumeth.2007.05.031Citations: 134data from “WEB OF SCIENCE” (of Thomson Reuters) are update at: 2020-05-31References taken from IsiWeb of Knowledge: (subscribers only)Connecting to view paper tab on IsiWeb: Click hereConnecting to view citations from IsiWeb: Click here