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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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Kaydedildi:
Detaylı Bibliyografya
Asıl Yazarlar: Guo, Ying, Tang, Li
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: 2013
Konular:
Online Erişim: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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