Nigel P. Pedersen

The paper develops an automated classifier to identify sleep-wake states and seizures in mice, achieving high accuracy across different datasets.

This paper investigates how temporal interference stimulation affects memory encoding in humans, finding that different frequencies and brain targets can either enhance or impair recall.

The paper develops an artificial neural network to simulate biophysically realistic neurons efficiently, enabling faster circuit modeling and parameter-space exploration.

This paper develops and validates noninvasive electric field sensors for accurate 3-state sleep scoring in mice, achieving high agreement with expert EEG/EMG scoring.