Automatic objective thresholding to detect neuronal action potentials

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    2 Citations (Scopus)
    67 Downloads (Pure)

    Abstract

    In this paper, we introduce a fully objective method to set thresholds (THs) for neuronal action potential spike detection from extracellular field potential signals. Although several more sophisticated methods exist, thresholding is still the most used spike detection method. In general, it is employed by setting a TH as per convention or operator decision, and without considering either the undetected or spurious spikes. Here, we demonstrate with both simulations and real microelectrode measurement data that our method can fully automatically and objectively yield THs comparable to those set by an expert operator. A Matlab function implementation of the method is described, and provided freely in Matlab Central File Exchange.
    Original languageEnglish
    Title of host publicationProceedings of 2016 24th European Signal Processing Conference (EUSIPCO)
    Pages662-666
    Number of pages5
    ISBN (Electronic)978-0-9928-6265-7
    DOIs
    Publication statusPublished - 29 Aug 2016
    Publication typeA4 Article in conference proceedings
    EventEuropean Signal Processing Conference -
    Duration: 1 Jan 1900 → …

    Publication series

    Name
    ISSN (Electronic)2076-1465

    Conference

    ConferenceEuropean Signal Processing Conference
    Period1/01/00 → …

    Keywords

    • Neuronal action potential
    • Thresholding
    • Spike detection
    • Microelectrode array
    • Electric field potential

    Publication forum classification

    • Publication forum level 1

    ASJC Scopus subject areas

    • Signal Processing
    • Neuroscience(all)

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