Signal Extraction for Brain-Computer Interface
Signal Extraction for Brain-Computer Interface
We use Kernel Canonical Correlation Analysis (KCCA) for detecting brain activity in function MRI by learning a semantic representation of fMRI brain scans and their associated time frequency. The semantic space provides a common representation and enables a comparison between the fMRI and time frequency. We compare the approach against Canonical Correlation Analysis (CCA) by localising brain regions that control finger movement and regions that are involved in mental calculation. We also compare the two approaches on a simulated null data set. We hypothesis that once a link can be established between regions of the brain to task one could create a brain-computer interface were computer related tasks could be activated by brain "thought" activity.
KCCA, fMRI
Hardoon, David R.
05549e24-da95-4690-a3e2-3c672d2342b8
Shawe-Taylor, John
b1931d97-fdd0-4bc1-89bc-ec01648e928b
2003
Hardoon, David R.
05549e24-da95-4690-a3e2-3c672d2342b8
Shawe-Taylor, John
b1931d97-fdd0-4bc1-89bc-ec01648e928b
Hardoon, David R. and Shawe-Taylor, John
(2003)
Signal Extraction for Brain-Computer Interface.
NIPS 2003 Workshop on 'Machine Learning Meets the User Interface', NIPS, Vancouver, Canada.
Record type:
Conference or Workshop Item
(Poster)
Abstract
We use Kernel Canonical Correlation Analysis (KCCA) for detecting brain activity in function MRI by learning a semantic representation of fMRI brain scans and their associated time frequency. The semantic space provides a common representation and enables a comparison between the fMRI and time frequency. We compare the approach against Canonical Correlation Analysis (CCA) by localising brain regions that control finger movement and regions that are involved in mental calculation. We also compare the two approaches on a simulated null data set. We hypothesis that once a link can be established between regions of the brain to task one could create a brain-computer interface were computer related tasks could be activated by brain "thought" activity.
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MLUI03_SEBCI.pdf
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Published date: 2003
Additional Information:
Event Dates: 2003
Venue - Dates:
NIPS 2003 Workshop on 'Machine Learning Meets the User Interface', NIPS, Vancouver, Canada, 2003-01-01
Keywords:
KCCA, fMRI
Organisations:
Electronics & Computer Science
Identifiers
Local EPrints ID: 259220
URI: http://eprints.soton.ac.uk/id/eprint/259220
PURE UUID: 3ad653e4-1370-4581-aeb5-9838dcb984b1
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Date deposited: 23 Mar 2004
Last modified: 14 Mar 2024 06:21
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Contributors
Author:
David R. Hardoon
Author:
John Shawe-Taylor
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