Scientific Results

Measuring spike train synchrony

Year: 2007

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.


Volume: 165 (1)      Pages from: 151  to: 161

KeyWords: time series analysis; spike trains; event synchronization; reliability clustering; neuronal coding
DOI: 10.1016/j.jneumeth.2007.05.031

Citations: 134
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