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Assessing the effectiveness of spatial PCA on SVM-based decoding of EEG data

Principal component analysis (PCA) has been widely employed for dimensionality reduction prior to multivariate pattern classification (decoding) in EEG research. The goal of the present study was to provide an evaluation of the effectiveness of PCA on decoding accuracy (using support vector machines...

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Автори: Guanghui Zhang, Carlos D. Carrasco, Kurt Winsler, Brett Bahle, Fengyu Cong, Steven J. Luck
Формат: Artigo
Мова:Inglês
Опубліковано: Elsevier 2024-06-01
Серія:NeuroImage
Предмети:
EEG
MVPA
Group-based PCA
Subject-based PCA
Dimensionality reduction
Онлайн доступ:http://www.sciencedirect.com/science/article/pii/S1053811924001204
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