Correction: Independent Component Analysis for Brain fMRI Does Indeed Select for Maximal Independence
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: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3812296/?tool=EBI |
Similar Items
-
Correction: Independent Component Analysis for Brain fMRI Does Indeed Select for Maximal Independence.
by: Vince D. Calhoun, et al.
Published: (2013-01-01) -
Independent component analysis for brain FMRI does indeed select for maximal independence.
by: Vince D Calhoun, et al.
Published: (2013-01-01) -
Independent vector analysis for common subspace analysis: Application to multi-subject fMRI data yields meaningful subgroups of schizophrenia
by: Qunfang Long, et al.
Published: (2020-08-01) -
A Feature-Selective Independent Component Analysis Method for Functional MRI
by: Yi-Ou Li, et al.
Published: (2007-01-01) -
MEG and fMRI fusion for nonlinear estimation of neural and BOLD signal changes
by: Sergey M Plis, et al.
Published: (2010-11-01)