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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...

Whakaahuatanga katoa

I tiakina i:
Ngā kaituhi matua: Guanghui Zhang, Carlos D. Carrasco, Kurt Winsler, Brett Bahle, Fengyu Cong, Steven J. Luck
Hōputu: Artigo
Reo:Inglês
I whakaputaina: Elsevier 2024-06-01
Rangatū:NeuroImage
Ngā marau:
EEG
MVPA
Group-based PCA
Subject-based PCA
Dimensionality reduction
Urunga tuihono:http://www.sciencedirect.com/science/article/pii/S1053811924001204
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