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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/16062

Title: CROSS NEAREST-SPIKE INTERVAL BASED METHOD TO MEASURE SYNCHRONY DYNAMICS
Authors: Gonzalez Montoro, Aldana M.
Cao, Ricardo
Faes, Christel
Molenberghs, Geert
Espinosa, Nelson
Cudeiro, Javer
Marino, Jorge
Issue Date: 2014
Citation: MATHEMATICAL BIOSCIENCES AND ENGINEERING, 11 (1), p. 27-48
Abstract: A new synchrony index for neural activity is defined in this paper. The method is able to measure synchrony dynamics in low firing rate scenarios. It is based on the computation of the time intervals between nearest spikes of two given spike trains. Generalized additive models are proposed for the synchrony profiles obtained by this method. Two hypothesis tests are proposed to assess for differences in the level of synchronization in a real data example. Bootstrap methods are used to calibrate the distribution of the tests. Also, the expected synchrony due to chance is computed analytically and by simulation to assess for actual synchronization.
Notes: Montoro, AMG (reprint author), Univ A Coruna, Fac Informat, Dept Math, Campus Elvina S-N, La Coruna 15071, Spain. agonzalezmo@udc.es; rcao@udc.es; christel.faes@uhasselt.be; geert.molenberghs@uhasselt.be; nespinosa@udc.es; jcudeiro@udc.es; xurxo@udc.es
URI: http://hdl.handle.net/1942/16062
DOI: 10.3934/mbe.2014.11.27
ISI #: 000326979900004
ISSN: 1547-1063
Category: A1
Type: Journal Contribution
Validation: ecoom, 2014
Appears in Collections: Research publications

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