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A hierarchical model for probabilistic independent component analysis of multi-subject fMRI studies
An important goal in fMRI studies is to decompose the observed series of brain images to identify and characterize underlying brain functional networks. Independent component analysis (ICA) has been shown to be a powerful computational tool for this purpose. Classic ICA has been successfully applied...
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| Autori principali: | , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2013
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4130464/ https://ncbi.nlm.nih.gov/pubmed/24033125 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/biom.12068 |
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