David I. Satzer

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 identifies theta-band power as a predictor of slow oscillation (SO) initiation and spatial extent using EEG data from healthy adults.

The paper examines how different thalamic nuclei coordinate with cortical slow oscillations during sleep, finding nucleus-specific patterns linked to propagation types.

The paper investigates how slow oscillations gate interictal spikes across the thalamocortical-epileptogenic network in human epilepsy, finding region-specific coupling and predictive pre-onset phase-amplitude coupling.

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 evaluates biomimetic multi-channel microstimulation for restoring high-resolution force feedback in bionic hands through somatosensory cortex stimulation.

This study investigates how microstimulation of somatosensory cortex affects motor cortex activity in paralyzed individuals, finding task-dependent spatial patterns and showing that biomimetic stimulation improves control of a virtual hand.

The paper investigates the localization of intracortical microstimulation-evoked sensations in human somatosensory cortex and demonstrates improved localization with multi-channel stimulation in a bionic hand.