William G. Coon

Tracking Sleep-Linked Brain Fluid Dynamics Using Modified fNIRS: A Novel Noninvasive Window into Glymphatic Function

This paper develops a non-invasive fNIRS method to measure cortical water dynamics during sleep, linking water oscillations to glymphatic function and sleep depth.

ezscore-f: A Set of Freely Available, Validated Sleep Stage Classifiers for Forehead EEG

The paper develops and validates artifact-aware sleep stage classifiers for forehead EEG, showing robust performance across multiple devices and sleep stages.

Laying the Foundation: Modern Transformers for Gold-Standard Sleep Analysis and Beyond

The paper evaluates transformer-based models for sleep stage classification, finding they match state-of-the-art techniques and provide a foundation for future data-driven sleep research.

Self-Supervised Transformer Model Training for a Sleep-EEG Foundation Model

This paper introduces a self-supervised transformer model for sleep-EEG data that outperforms supervised methods and can be fine-tuned for new tasks like individual identification and brain age estimation.

Revealing the Physiological Origin of Event-Related Potentials using Electrocorticography in Humans

This study identifies the physiological mechanisms underlying event-related potentials (ERPs) in humans, finding that movement-related potentials are mainly due to endogenous additivity, while auditory evoked potentials are mostly from exogenous phase reset.