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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/8179

Title: A flexible method to measure synchrony in neuronal firing
Authors: Faes, Christel
Geys, Helena
Molenberghs, Geert
Aerts, Marc
Cadarso-Suarez, Carmen
Acuna, Carlos
Cano, Monica
Issue Date: 2008
Publisher: AMER STATISTICAL ASSOC
Citation: JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 103(481). p. 149-161
Abstract: Neurons can transmit information about the characteristics of a stimulus through the spike rate of neurons and synchronization of the neurons. Various association measure can be used to describe how "synchronous" two spike trains are. We propose a new measure of synchrony, the conditional synchrony measure, which is the probability of firing together given that at least one of the two neurons is active. Focus is on the specification of a flexible marginal model for multivariate correlated binary data together with a pseudolikelihood estimation approach, to adequately and directly describe the measures of interest. A joint model must allow different time- and covariate-dependent firing rates for each neuron, and also must account for the association between them. The association between neurons might depend on covariates as well.
Notes: Hasselt Univ, Ctr Stat, Diepenbeek, Belgium. Univ Santiago de Compostela, Dept Physiol, Univ Hosp, Santiago De Compostela, Spain.christel.faes@uhasselt.be
URI: http://hdl.handle.net/1942/8179
DOI: 10.1198/016214507000000419
ISI #: 000254311500021
ISSN: 0162-1459
Category: A1
Type: Journal Contribution
Validation: ecoom, 2009
Appears in Collections: Research publications

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