Bayesian correlated component analysis for inference of joint EEG activation
Andreas Trier Poulsen, Simon Kamronn, Lucas C. Parra, Lars Kai Hansen · 2014
We propose a probabilistic generative multi-view model to test the representational universality of human information processing. The model is tested in simulated data and in a well-established benchmark EEG dataset.