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KCCA for fMRI Analysis
David Hardoon, John Shawe-Taylor and Ola Friman
In: The Medical Image Understanding and Analysis conference (MIUA) 2004, 23-24 September 2004, London, UK.
AbstractUnderstanding the functional processes of the brain is still a new and difficult task. Functional Magnetic Resonance Imaging (fMRI) is a relatively new tool with the purpose of mapping the sensor, motor and cognitive tasks to specific regions in the brain. We present a Kernel Canonical Correlation Analysis (KCCA) approach to measure the active regions of the brain using fMRI scans and their activity signal. | EPrint Type: | Conference or Workshop Item (Poster) |
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| Additional Information: | This is the abstract page submitted to the meeting. The proceedings version (4 pages) will be entered to the eprints separately. |
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| Project Keyword: | Project Keyword UNSPECIFIED |
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| Subjects: | Brain Computer Interfaces |
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| ID Code: | 239 |
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| Deposited By: | David Hardoon |
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| Deposited On: | 23 November 2004 |
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