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Performance of Blind Source Separation Algorithms for FMRI Analysis using a Group ICA Method

Independent component analysis (ICA) is a popular blind source separation (BSS) technique that has proven to be promising for the analysis of functional magnetic resonance imaging (fMRI) data. A number of ICA approaches have been used for fMRI data analysis, and even more ICA algorithms exist, howev...

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Detalhes bibliográficos
Main Authors: Correa, Nicolle, Adali, Tülay, Calhoun, Vince D.
Formato: Artigo
Idioma:Inglês
Publicado em: 2006
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC2358930/
https://ncbi.nlm.nih.gov/pubmed/17540281
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.mri.2006.10.017
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