Interpretable many-class decoding for MEG

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...

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Bibliographic Details
Main Authors:	Richard Csaky, Mats W.J. van Es, Oiwi Parker Jones, Mark Woolrich
Format:	Article
Language:	English
Published:	Elsevier 2023-11-01
Series:	NeuroImage
Subjects:	MEG Neuroimaging Decoding Machine learning Permutation feature importance
Online Access:	http://www.sciencedirect.com/science/article/pii/S1053811923005475

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