Ali B. Hashemi

This study evaluates how robust different BSI methods are to noise level misspecification using simulations and metrics like EMD.

The paper develops a hierarchical Bayesian model for EEG source reconstruction that jointly estimates full-structure noise covariance matrices, improving accuracy in real-world scenarios with non-diagonal noise.

This paper unifies three sparse Bayesian learning algorithms for EEG/MEG brain source imaging under the majorization-minimization framework and introduces a new method for low SNR settings and noise variance estimation.