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Journal of Computational Neuroscience

Erschienen in:

01.08.2010

Comparison of local measures of spike time irregularity and relating variability to firing rate in motor cortical neurons

verfasst von: Adrián Ponce-Alvarez, Bjørg Elisabeth Kilavik, Alexa Riehle

Erschienen in: Journal of Computational Neuroscience | Ausgabe 1-2/2010

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Abstract

Spike time irregularity can be measured by the coefficient of variation. However, it overestimates the irregularity in the case of pronounced firing rate changes. Several alternative measures that are local in time and therefore relatively rate-independent were proposed. Here we compared four such measures: CV₂, LV, IR and SI. First, we asked which measure is the most efficient for time-resolved analyses of experimental data. Analytical results show that CV₂ has the less variable estimates. Second, we derived useful properties of CV₂ for gamma processes. Third, we applied CV₂ on recordings from the motor cortex of a monkey performing a delayed motor task to characterize the irregularity, that can be modulated or not, and decoupled or not from firing rate. Neurons with a CV₂-rate decoupling have a rather constant CV₂ and discharge mainly irregularly. Neurons with a CV₂-rate coupling can modulate their CV₂ and explore a larger range of CV₂ values.

Vorheriger Artikel CuBIC: cumulant based inference of higher-order correlations in massively parallel spike trains

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Titel: Comparison of local measures of spike time irregularity and relating variability to firing rate in motor cortical neurons
verfasst von: Adrián Ponce-Alvarez
Bjørg Elisabeth Kilavik
Alexa Riehle
Publikationsdatum: 01.08.2010
Verlag: Springer US
Erschienen in: Journal of Computational Neuroscience / Ausgabe 1-2/2010
Print ISSN: 0929-5313
Elektronische ISSN: 1573-6873
DOI: https://doi.org/10.1007/s10827-009-0158-2

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