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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Detalles Bibliográficos
Autores principales: Calhoun, Vince D., Potluru, Vamsi K., Phlypo, Ronald, Silva, Rogers F., Pearlmutter, Barak A., Caprihan, Arvind, Plis, Sergey M., Adalı, Tülay
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3757003/
https://www.ncbi.nlm.nih.gov/pubmed/24009746
http://dx.doi.org/10.1371/journal.pone.0073309

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3757003/
https://www.ncbi.nlm.nih.gov/pubmed/24009746
http://dx.doi.org/10.1371/journal.pone.0073309

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