Assessment of bursting activity and interspike intervals variability: a case study for methodological comparison.

Abstract : The detection and characterization of bursting activity remains a topic where no consensual definition has been reached so far. We compare here three different approaches of spike trains variability: statistical characterization (average frequency, coefficient of variation), burst detection (Poisson and rank surprise) and multi-scale analysis (detrended fluctuations analysis). Using both real and simulated data, we show that Poisson surprise provides information closely related to the coefficient of variation and that rank surprise detects significant bursts which are associated with long-range correlations. Since these long-range correlations are only adequately characterized with multi-scale analysis, this study emphasizes the complementarity of these approaches for the complete characterization of spike trains.
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Journal of Neuroscience Methods, Elsevier, 2009, 179 (1), pp.142-9. 〈10.1016/j.jneumeth.2009.01.020〉
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https://hal.inria.fr/hal-00805401
Contributeur : Olivier Colliot <>
Soumis le : mercredi 27 mars 2013 - 18:38:31
Dernière modification le : jeudi 18 janvier 2018 - 01:37:28

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Kristelle Robin, Nicolas Maurice, Bertrand Degos, Jean-Michel Deniau, Jacques Martinerie, et al.. Assessment of bursting activity and interspike intervals variability: a case study for methodological comparison.. Journal of Neuroscience Methods, Elsevier, 2009, 179 (1), pp.142-9. 〈10.1016/j.jneumeth.2009.01.020〉. 〈hal-00805401〉

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