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Mining EEG-fMRI using independent component analysis

Independent component analysis (ICA) is a multivariate approach that has become increasingly popular for analyzing brain imaging data. In contrast to the widely used general linear model (GLM) that requires the user to parameterize the brain’s response to stimuli, ICA allows the researcher to explor...

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Bibliografske podrobnosti
Main Authors: Eichele, Tom, Calhoun, Vince D., Debener, Stefan
Format: Artigo
Jezik:Inglês
Izdano: 2009
Teme:
Online dostop:https://ncbi.nlm.nih.gov/pmc/articles/PMC2693483/
https://ncbi.nlm.nih.gov/pubmed/19223007
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.ijpsycho.2008.12.018
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