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Neurocomputing. 2003 Jun 01;52:925-931. doi: 10.1016/S0925-2312(02)00838-X.

A new correlation-based measure of spike timing reliability.

Neurocomputing

S Schreiber, J M Fellous, D Whitmer, P Tiesinga, T J Sejnowski

Affiliations

  1. Sloan-Swartz Center for Theoretical Neurobiology and Computational Neuroscience Laboratory, The Salk Institute, 10010 N. Torrey Pines Rd., La Jolla, CA 92037, USA.

PMID: 20740049 PMCID: PMC2926980 DOI: 10.1016/S0925-2312(02)00838-X

Abstract

We introduce a new correlation-based measure of spike timing reliability. Unlike other measures, it does not require the definition of a posteriori "events". It relies on only one parameter, which relates to the timescale of spike timing precision. We test the measure on surrogate data sets with varying amounts of spike time jitter, and missing or additional spikes, and compare it with a widely used histogram-based measure. The measure is efficient and faithful in characterizing spike timing reliability and produces smaller errors in the reliability estimate than the histogram-based measure based on the same number of trials.

References

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