Robert A. Gaunt

This study decodes motor cortex activity in real-time to predict movement onset before action, showing a task-independent commitment to act that aligns with conscious intent.

This study maps neural responses to touch in human somatosensory and motor cortices, revealing somatotopic activation in motor cortex during passive touch and limited vicarious encoding during observation.

The paper identifies distinct neural modes in the sensorimotor cortex that encode grasp force and timing during isometric grasps in tetraplegic individuals.

The paper uses a finite element model to predict tissue strain from micromotion in Utah arrays and correlates these strains with electrode performance in humans and non-human primates.

This paper introduces SpIC3D, a 3D imaging method for high-resolution visualization of spinal structures, enabling quantification of neuronal density and volumetric reconstruction for computational modeling.

The paper trains an autoregressive Transformer on neural spiking data to decode motor behavior, showing broad utility across tasks but highlighting limitations in scaling.

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

This paper introduces a new electrical stimulation waveform that evokes more naturalistic neural activity than traditional methods, as shown by human experiments and computational modeling.

The paper introduces FALCON, a benchmark suite for evaluating robustness of iBCI decoders using standardized datasets and evaluation metrics.

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.

This study evaluates how tactile percepts from intracortical microstimulation (ICMS) in the human somatosensory cortex adapt over time with different stimulation protocols.

This study investigates how microstimulation frequency affects perceptual responses in human somatosensory cortex, finding spatially organized effects on perceptual intensity and quality.

The paper validates and scales musculoskeletal models of the human forearm and hand using posture-dependent moment arms, isometric force measurements, and error detection to improve accuracy in torque prediction.

HSST optimizes spike sorting parameters using neurophysiological metrics, improving sorting accuracy and robustness across varying conditions.