MEG beamforming using Bayesian PCA for adaptive data covariance matrix regularization

► New beamforming method that adapts to the information available using Bayesian PCA ► Provides a non-arbitrary trade‐off between spatial resolution and accuracy ► Automatically adapts to give good performance over a range of noise and signal levels. ► Improves spatial localization of high temporal resolution information from MEG data