Interpretable many-class decoding for MEG
Multivariate pattern analysis (MVPA) of Magnetoencephalography (MEG) and Electroencephalography (EEG) data is a valuable tool for understanding how the brain represents and discriminates between different stimuli. Identifying the spatial and temporal signatures of stimuli is typically a crucial outp...
Main Authors: | Richard Csaky, Mats W.J. van Es, Oiwi Parker Jones, Mark Woolrich |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2023-11-01
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Series: | NeuroImage |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S1053811923005475 |
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