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Neuroimage|December 26, 2006
Enhanced detection of artifacts in EEG data using higher-order statistics and independent component analysisArnaud Delorme, Terrence Sejnowski, Scott MakeigJournal of Cognitive Neuroscience|December 7, 2020
Electroencephalographic Study on Sensory Integration in Visually Induced Postural SwayTakahiro Kagawa, Scott Makeig, Makoto MiyakoshiScientific Reports|May 31, 2018
Dynamics of directional tuning and reference frames in humans: A high-density EEG studyHirokazu Tanaka, Makoto Miyakoshi, Scott MakeigNeuroimage|June 2, 2005
Frontal midline EEG dynamics during working memoryJulie Onton, Arnaud Delorme, Scott MakeigNeuroimage|March 13, 2018
Applying dimension reduction to EEG data by Principal Component Analysis reduces the quality of its subsequent Independent Component decompositionFiorenzo Artoni, Arnaud Delorme, Scott MakeigFrontiers in Neuroscience|September 26, 2019
Ear-EEG Forward Models: Improved Head-Models for Ear-EEGSimon L Kappel, Scott Makeig, Preben KidmoseNeural Networks : the Official Journal of the International Neural Network Society|November 19, 2003
Complex independent component analysis of frequency-domain electroencephalographic dataJörn Anemüller, Terrence J Sejnowski, Scott MakeigAnnual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 24, 2009
Head modeling and cortical source localization in epilepsyZeynep Akalin Acar, Scott Makeig, Gregory WorrellClinical Neurophysiology : Official Journal of the International Federation of Clinical Neurophysiology|July 21, 2004
Frontal midline theta and the error-related negativity: neurophysiological mechanisms of action regulationPhan Luu, Don M Tucker, Scott MakeigNeuroimage|January 24, 2009
Identifying reliable independent components via split-half comparisonsDavid M Groppe, Scott Makeig, Marta KutasPageof 16