Estimating brain connectivity using copula Gaussian graphical models
Electroencephalogram (EEG) has been widely used to study cortical connectivity during acquisition of motor skills. Previous studies using graphical models to estimate sparse brain networks focused on time-domain dependency. This paper introduces graphical models in the spectral domain to characteriz...
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| Main Authors: | , , , , , |
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| Format: | Conference or Workshop Item |
| Published: |
2019
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/89563/ http://dx.doi.org/10.1109/ISBI.2019.8759538 |
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