Measuring spike train synchrony

by: Thomas Kreuz, Julie S Haas, Alice Morelli, Henry D Abarbanel, Antonio Politi

Journal of Neuroscience Methods, Vol. In Press, Corrected Proof

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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.

@article{citeulike:1454306, 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.}, author = {Kreuz, Thomas and Haas, Julie S. and Morelli, Alice and Abarbanel, Henry D. and Politi, Antonio }, citeulike-article-id = {1454306}, doi = {10.1016/j.jneumeth.2007.05.031}, journal = {Journal of Neuroscience Methods}, keywords = {methods, synchronization}, posted-at = {2007-08-16 10:10:58}, priority = {2}, title = {Measuring spike train synchrony}, url = {http://dx.doi.org/10.1016/j.jneumeth.2007.05.031}, volume = {In Press, Corrected Proof} }

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TY - JOUR ID - citeulike:1454306 L3 - citeulike-article-id:1454306 TI - Measuring spike train synchrony JF - Journal of Neuroscience Methods VL - In Press, Corrected Proof N2 - 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. KW - methods KW - synchronization AU - Kreuz, Thomas AU - Haas, Julie AU - Morelli, Alice AU - Abarbanel, Henry AU - Politi, Antonio UR - http://dx.doi.org/10.1016/j.jneumeth.2007.05.031 ER -

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