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Dependencies between stimuli and spatially independent fMRI sources: Towards brain correlates of natural stimuli.

, , , , , and . NeuroImage, 48 (1): 176-185 (2009)

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Dependencies between stimuli and spatially independent fMRI sources: Towards brain correlates of natural stimuli., , , , , and . NeuroImage, 48 (1): 176-185 (2009)Analyzing consistency of independent components: An fMRI illustration., and . NeuroImage, 39 (1): 169-180 (2008)Distributional Convergence of Subspace Estimates in FastICA: A Bootstrap Study., , and . LVA/ICA, volume 7191 of Lecture Notes in Computer Science, page 123-130. Springer, (2012)Finding dependent and independent components from related data sets: A generalized canonical correlation analysis based method., , and . Neurocomputing, (2013)Consistency and asymptotic normality of FastICA and bootstrap FastICA., , , and . Signal Process., 92 (8): 1767-1778 (2012)A Canonical Correlation Analysis Based Method for Improving BSS of Two Related Data Sets., , and . LVA/ICA, volume 7191 of Lecture Notes in Computer Science, page 91-98. Springer, (2012)Brains and Phantoms: An ICA Study of fMRI., , , and . ICA, volume 3889 of Lecture Notes in Computer Science, page 503-510. Springer, (2006)Functional elements and networks in fMRI., , , and . ESANN, page 561-566. (2007)Arabica: Robust ICA in a Pipeline., and . ICA, volume 5441 of Lecture Notes in Computer Science, page 379-386. Springer, (2009)A generalized canonical correlation analysis based method for blind source separation from related data sets., , and . IJCNN, page 1-9. IEEE, (2012)