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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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Detalhes bibliográficos
Autor principal: Guo, Ying
Formato: Artigo
Idioma:Inglês
Publicado em: 2011
Assuntos:
Acesso em linha: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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