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Conference item #79246

Hardoon, D; Shawe-Taylor, J; Friman, O; (2004) UNSPECIFIED Presented at: KCCA for fMRI Analysis.

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We use Kernel Canonical Correlation Analysis (KCCA) to infer brain activity in functional MRI by learning a semantic representation of fMRI brain scans and their associated activity signal. The semantic space provides a common representation and enables a comparison between the fMRI and the activity signal. We compare the approach against Canonical Correlation Analysis (CCA) by localising ?activity? on a simulated null data set. Finally we present an approach to reconstruct an activity signal from a testing-set fMRI scans (both simulated and real), a method which allows us to validate our initial analysis

Type: Conference item (UNSPECIFIED)
Event: KCCA for fMRI Analysis
Keywords: Correlation Analysis, fMRI, KCCA
UCL classification: UCL > School of BEAMS > Faculty of Engineering Science
UCL > School of BEAMS > Faculty of Engineering Science > Computer Science
URI: http://discovery.ucl.ac.uk/id/eprint/79246
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