Zhenxing Hu

The paper introduces a stochastic dynamical model to capture bistable dynamics during sleep onset and shows its parameters correlate with subjective sleepiness reports.

The paper introduces A-HER, a paradigm that maximizes auditory stimulus entropy to study brain processing of uncertain information, showing improved signal-to-noise ratio and repeatability compared to other methods.

The paper introduces a large-scale EEG database and competition to study EEG commonality and variability across subjects, sessions, and tasks, aiming to improve machine learning algorithms for EEG-based biometrics.

This study evaluates ERP test-retest reliability in adolescents, finding that stronger group effects do not guarantee higher individual reliability and that latency jitter and trial variability influence this relationship.