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...

Description complète

Enregistré dans:
Détails bibliographiques
Auteurs principaux: Calhoun, Vince D., Potluru, Vamsi K., Phlypo, Ronald, Silva, Rogers F., Pearlmutter, Barak A., Caprihan, Arvind, Plis, Sergey M., Adalı, Tülay
Format: Artigo
Langue:Inglês
Publié: Public Library of Science 2013
Sujets:
Research Article
Accès en ligne: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
Tags: Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires