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Found 4 papers, 3 papers with code
Stimulus-Informed Generalized Canonical Correlation Analysis for Group Analysis of Neural Responses
In this context, generalized canonical correlation analysis (GCCA) is often used as a group analysis technique, which allows the extraction of correlated signal components from the neural activity of multiple subjects attending to the same stimulus.
Stimulus-Informed Generalized Canonical Correlation Analysis of Stimulus-Following Brain Responses
We show the superiority of the proposed stimulus-informed GCCA method based on the inter-subject correlation between electroencephalography responses of a group of subjects listening to the same speech stimulus, especially for lower amounts of data or smaller groups of subjects.
Grouped Variable Selection for Generalized Eigenvalue Problems
This group-sparsity allows, for instance, to perform sensor selection for spatio-temporal (instead of purely spatial) filters, and to select variables based on multiple generalized eigenvectors instead of only the dominant one.
EEG-based Auditory Attention Decoding: Towards Neuro-Steered Hearing Devices
People suffering from hearing impairment often have difficulties participating in conversations in so-called `cocktail party' scenarios with multiple people talking simultaneously.
