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Independent component analysis for brain fMRI does not select for independence
InfoMax and FastICA are the independent component analysis algorithms most used and apparently most effective for brain fMRI. We show that this is linked to their ability to handle effectively sparse components rather than independent components as such. The mathematical design of better analysis to...
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| Autors principals: | , , , , , , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
National Academy of Sciences
2009
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2705604/ https://ncbi.nlm.nih.gov/pubmed/19556548 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1073/pnas.0903525106 |
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