Recipes for the linear analysis of EEG

In this paper, we describe a simple set of “recipes” for the analysis of high spatial density EEG. We focus on a linear integration of multiple channels for extracting individual components without making any spatial or anatomical modeling assumptions, instead requiring particular statistical proper...

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Veröffentlicht in:	NeuroImage (Orlando, Fla.) Fla.), 2005-11, Vol.28 (2), p.326-341
Hauptverfasser:	Parra, Lucas C., Spence, Clay D., Gerson, Adam D., Sajda, Paul
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Analysis of Variance Brain computer interfaces Data Interpretation, Statistical Electrodes Electroencephalography Electroencephalography (EEG) Electroencephalography - statistics & numerical data Evoked Potentials - physiology Eye Movements Generalized eigenvalue decomposition Humans Linear integration Linear Models Logistic Models Noise Reproducibility of Results Signal processing Source estimation Time series
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