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.
Understanding 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)|
|Additional Information:||This is the abstract page submitted to the meeting. The proceedings version (4 pages) will be entered to the eprints separately.|
|Project Keyword:||Project Keyword UNSPECIFIED|
|Subjects:||Brain Computer Interfaces|
|Deposited By:||David Hardoon|
|Deposited On:||23 November 2004|