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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 | |
| Aparece en las colecciones: | Ciencias de la Computación |
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| Fichero | Tamaño | Formato | |
|---|---|---|---|
| JLMarroquin1.pdf | 6.75 MB | Adobe PDF | Visualizar/Abrir |