Zhongming Liu

This paper shows that the low-dimensional manifold of spontaneous brain activity can represent responses to naturalistic stimuli, using a deep variational autoencoder trained on resting-state fMRI data.

FSINC improves EEG-fMRI source imaging by integrating frequency-resolved EEG with fMRI via a data-driven neurovascular coupling model, achieving better spatial and temporal accuracy in both simulated and real data.