Naoum P. Issa

This paper develops a real-time sleep stage classifier for N2 and N3 sleep using scalp and intracranial EEG, showing high accuracy and informing stimulation timing.

This study shows thalamic stereo-EEG can detect sleep stages N2 and N3 with high accuracy, comparable to scalp EEG, using machine learning classifiers.

The paper investigates visuospatial coding in the human hippocampus using intracranial EEG during a retinotopic mapping task, finding that slow theta oscillations scale with visual stimulus size and show contralateral bias.

This study investigates how visual speech enhances auditory speech processing by altering theta band power and phase in different brain regions through distinct mechanisms.

The paper investigates memory consolidation during sleep by reactivating memories with sounds and measuring electrophysiological responses, finding gamma band activity correlates with memory improvement.

The paper investigates how visual speech modulates different frequency bands in auditory cortex, revealing distinct temporal and spatial patterns across theta, beta, and high-gamma bands.