Marc W. Slutzky

This paper presents a functional atlas of the human central nervous system using high-resolution surface electrophysiology from 70 patients, revealing conserved electrophysiological patterns and enabling neuroprosthetic applications.

The paper identifies speech and language critical cortex using fMRI network features, finding critical sites have distinct connectivity patterns compared to non-critical sites.

This study shows that high gamma activity (HGA) in the cortex is not primarily generated by local spikes but by summed postsynaptic potentials from widely distributed neurons.

The paper investigates phase-amplitude coupling between low- and high-gamma bands in motor and speech tasks, finding significant coupling in sensorimotor and premotor cortices across species.

This study shows that finger movement and force have distinct neural representations in motor and premotor cortices, using electrocorticography and deep learning methods.

This paper uses deep neural networks to reconstruct speech from ECoG signals, achieving high correlation between reconstructed and original logMel spectrograms.

The paper examines how articulatory gestures and phonemes are represented in motor, premotor, and inferior frontal cortices, finding that motor and premotor areas prioritize gestures over phonemes, while inferior frontal cortex represents both.