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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...
Tallennettuna:
| Päätekijät: | , , |
|---|---|
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
2009
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| Aiheet: | |
| Linkit: | 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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