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A general probabilistic model for group independent component analysis and its estimation methods
Independent component analysis (ICA) has become an important tool for analyzing data from functional magnetic resonance imaging (fMRI) studies. ICA has been successfully applied to single-subject fMRI data. The extension of ICA to group inferences in neuroimaging studies, however, is challenging due...
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| Formato: | Artigo |
| Idioma: | Inglês |
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2011
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| Acceso en liña: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3412593/ https://ncbi.nlm.nih.gov/pubmed/21517789 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/j.1541-0420.2011.01601.x |
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