Gladia C. Hotan

This paper develops a switching state-space model for analyzing time-varying neural data, showing improved performance in detecting transient sleep spindles from EEG recordings.

This paper introduces an iterative algorithm to identify oscillatory dynamics in neural data, outperforming existing methods in accuracy and adaptability.

The paper investigates broadband slow-wave modulation in posterior and anterior cortex during propofol-induced unconsciousness, finding distinct brain state shifts associated with different depths of anesthesia.