Please use this identifier to cite or link to this item: http://cimat.repositorioinstitucional.mx/jspui/handle/1008/891
Exploration of event-induced EEG phase synchronization patterns in cognitive tasks using a time–frequency-topography visualization system
JOSE LUIS MARROQUIN ZALETA
Acceso Abierto
Atribución-NoComercial-CompartirIgual
Redes Neuronales
In this paper, we present a method for the study of synchronization patterns measured from EEG scalp potentials in psychophysiological experiments. This method is based on various techniques: a time–frequency decomposition using sinusoidal filters which improve phase accuracy for low frequencies, a Bayesian approach for the estimation of significant synchrony changes, and a time–frequency-topography visualization technique which allows for easy exploration and provides detailed insights of a particular experiment. Particularly, we focus on in-phase synchrony using an instantaneous phase-lock measure. We also discuss some of the most common methods in the literature, focusing on their relevance to long-range synchrony analysis; this discussion includes a comparison among various synchrony measures. Finally, we present the analysis of a figure categorization experiment to illustrate our method.
Elsevier Science
2007
Artículo
Inglés
Investigadores
INTELIGENCIA ARTIFICIAL
Versión publicada
publishedVersion - Versión publicada
Appears in Collections:Ciencias de la Computación

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