Characterizing nonlinear relationships in functional imaging data using eigenspace maximal information canonical correlation analysis (emiCCA)

Title
Characterizing nonlinear relationships in functional imaging data using eigenspace maximal information canonical correlation analysis (emiCCA)
Authors
Keywords
Eigenspace maximal information canonical correlation analysis (, emi, CCA), Functional magnetic resonance imaging data analysis, Nonlinearity, Unsupervised, Motor execution
Journal
NEUROIMAGE
Volume 109, Issue -, Pages 388-401
Publisher
Elsevier BV
Online
2015-01-12
DOI
10.1016/j.neuroimage.2015.01.006

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