Article ID Journal Published Year Pages File Type
8687180 NeuroImage 2018 16 Pages PDF
Abstract
The kernel CCA methods are compared with the standard univariate method and with two different local CCA methods that were solved by the SQP algorithm. Results show that SQP is the most efficient algorithm to solve the local constrained CCA problem, and the proposed kernel CCA methods outperformed univariate and local CCA methods in detecting activations for both simulated and real fMRI episodic memory data.
Related Topics
Life Sciences Neuroscience Cognitive Neuroscience
Authors
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