Independent component analysis for brain FMRI does indeed select for maximal independence.

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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Bibliographic Details
Main Authors: Vince D Calhoun, Vamsi K Potluru, Ronald Phlypo, Rogers F Silva, Barak A Pearlmutter, Arvind Caprihan, Sergey M Plis, Tülay Adalı
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2013-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC3757003?pdf=render

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http://europepmc.org/articles/PMC3757003?pdf=render

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