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Erschienen in: Neural Computing and Applications 3/2010

01.04.2010 | Original Article

A comparison of binless spike train measures

verfasst von: António R. C. Paiva, Il Park, José C. Príncipe

Erschienen in: Neural Computing and Applications | Ausgabe 3/2010

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Abstract

Several binless spike train measures which avoid the limitations of binning have been recently been proposed in the literature. This paper presents a systematic comparison of these measures in three simulated paradigms designed to address specific situations of interest in spike train analysis where the relevant feature may be in the form of firing rate, firing rate modulations, and/or synchrony. The measures are first disseminated and extended for ease of comparison. It also discusses how the measures can be used to measure dissimilarity in spike trains' firing rate despite their explicit formulation for synchrony.

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Fußnoten
1
Actually, in their works, Victor Purpura [1, 2] proposed not one but several spike train distances. Namely, D spike [q], D interval [q], D count [q] and D motif [q]. In this study, and as in most references to their work, VP distance refers to D spike [q].
 
2
Filtered spike trains correspond to what is often referred to as “shot noise” in the point processes literature [32, Sect. 16.3].
 
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Metadaten
Titel
A comparison of binless spike train measures
verfasst von
António R. C. Paiva
Il Park
José C. Príncipe
Publikationsdatum
01.04.2010
Verlag
Springer-Verlag
Erschienen in
Neural Computing and Applications / Ausgabe 3/2010
Print ISSN: 0941-0643
Elektronische ISSN: 1433-3058
DOI
https://doi.org/10.1007/s00521-009-0307-6

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