Protocol to decode representations from EEG data with intermixed signals using temporal signal decomposition and multivariate pattern-analysis

Protocol to decode representations from EEG data with intermixed signals using temporal signal decomposition and multivariate pattern-analysis

Summary: The electroencephalogram (EEG) is one of the most widely used techniques in cognitive neuroscience. We present a protocol showing how to combine a temporal signal decomposition approach (RIDE, Residue iteration decomposition) with multivariate pattern analysis (MVPA) to obtain insights into...

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Bibliographic Details
Main Authors: Ádám Takács, Shijing Yu, Moritz Mückschel, Christian Beste
Format: Article
Language:English
Published: Elsevier 2022-06-01
Series:STAR Protocols
Subjects:
Bioinformatics
Neuroscience
Cognitive Neuroscience
Behavior
Online Access:http://www.sciencedirect.com/science/article/pii/S2666166722002799

Internet

http://www.sciencedirect.com/science/article/pii/S2666166722002799

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