Chang Cai

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.

The paper examines associations between neuronal subpopulation parameters and tau/A{beta} in AD patients using MEG and PET data.

This paper shows how functional brain networks can emerge from the structural connectome by using a complex-valued graph Laplacian that outperforms real-valued models.

This paper introduces a spectral graph model to predict brain oscillations from structural connectomes, showing that certain oscillations emerge from network topology.