Shihao Yang

This paper uses a Switching State Space Model to automatically detect high-frequency oscillations in intracranial EEG data, improving accuracy compared to manual annotation.

This paper introduces a framework integrating scalp EEG and intracranial EEG to estimate whole-brain electrophysiological networks using a state-space model and EM algorithm, showing improved performance over methods using only scalp EEG.