Post-hoc Labeling of Arbitrary M/EEG Recordings for Data-Efficient Evaluation of Neural Decoding Methods

Many cognitive, sensory and motor processes have correlates in oscillatory neural source activity, which is embedded as a subspace in the recorded brain signals. Decoding such processes from noisy magnetoencephalogram/electroencephalogram (M/EEG) signals usually requires data-driven analysis methods...

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Bibliographic Details

Published in:	Frontiers in Neuroinformatics
Main Authors:	Sebastián Castaño-Candamil, Andreas Meinel, Michael Tangermann
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2019-08-01
Subjects:	neural decoding M/EEG labeling data-driven neural decoding brain computer interfaces band-power decoding
Online Access:	https://www.frontiersin.org/article/10.3389/fninf.2019.00055/full