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Improving J-divergence of brain connectivity states by graph Laplacian denoising
Using our novel formulation of the J-divergence, we are able to quantify the distance between the FC networks in the motor imagery and resting states, as well as to understand the contribution of each Laplacian variable to the total J-divergence between two states.
Phase/amplitude synchronization of brain signals during motor imagery BCI tasks
In the last decade, functional connectivity (FC) estimators have been increasingly explored based on their ability to capture synchronization between multivariate brain signals.
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