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Pair-Correlation in the Time and Frequency Domain

  • Chapter
Analysis of Parallel Spike Trains

Part of the book series: Springer Series in Computational Neuroscience ((NEUROSCI,volume 7))

Abstract

Neural pair-correlation can be analyzed and represented in both the time and frequency domains. Sometimes it is easier to see the effects in the time domain correlograms, sometimes the frequency representation in the form of the coherence function gives more insight, for instance, about which frequency regions contribute to the correlation. Regardless the preference one might have of the domain for representing the interactions, calculations are generally easier and faster when performed in the frequency domain.

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Author information

Authors and Affiliations

  1. Department of Physiology and Pharmacology, Department of Psychology, University of Calgary, Calgary, Alberta, Canada

    Jos J. Eggermont

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  1. Jos J. Eggermont
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Correspondence to Jos J. Eggermont .

Editor information

Editors and Affiliations

  1. Computational Neuroscience Group, RIKEN Brain Science Institute, Hirosawa 2-1, Saitama, 351-0198, Japan

    Sonja Grün

  2. Bernstein-Zentrum für Computational Neur, Neuroscience, Universität Freiburg, Hansastrasse 9A 9a, Freiburg, 79104, Germany

    Stefan Rotter

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Eggermont, J.J. (2010). Pair-Correlation in the Time and Frequency Domain. In: Grün, S., Rotter, S. (eds) Analysis of Parallel Spike Trains. Springer Series in Computational Neuroscience, vol 7. Springer, Boston, MA. https://doi.org/10.1007/978-1-4419-5675-0_5

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