Yi‐Ge Huang

The paper develops and evaluates automated sleep scoring methods for hibernating and non-hibernating American black bears using machine learning classifiers on EEG, EOG, and EMG data.

Somnotate is a probabilistic classifier that improves sleep stage annotation in mice by identifying intermediate states and transitions, outperforming human experts.

This study investigates the relationship between fasting-induced torpor, sleep, and wakefulness in mice by analyzing EEG, EMG, and body temperature data.

This study shows that hypothalamic stimulation increases cortical activity and accelerates sleep pressure buildup, indicating the hypothalamus regulates both state transitions and within-state arousal intensity.