Independent Component Analysis for Brain fMRI Does Indeed Select for Maximal Independence

A recent paper by Daubechies et al. claims that two independent component analysis (ICA) algorithms, Infomax and FastICA, which are widely used for functional magnetic resonance imaging (fMRI) analysis, select for sparsity rather than independence. The argument was supported by a series of experimen...

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Detalhes bibliográficos
Main Authors: Calhoun, Vince D., Potluru, Vamsi K., Phlypo, Ronald, Silva, Rogers F., Pearlmutter, Barak A., Caprihan, Arvind, Plis, Sergey M., Adalı, Tülay
Formato: Artigo
Idioma:Inglês
Publicado em: Public Library of Science 2013
Assuntos:
Research Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC3757003/
https://ncbi.nlm.nih.gov/pubmed/24009746
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0073309
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