Elizaveta V. Okorokova

This paper introduces a multi-user transformer-based decoder for intracortical speech BCIs, achieving lower word error rates with less training data than individual models.

The paper develops a framework to quantify the mechanics of primate dexterous grasp by measuring contact forces, kinematics, and joint torques using an experimental apparatus and musculoskeletal modeling.

The paper investigates how motor cortex encodes wrist and finger movements, finding shared neural signals for flexion-extension across digits and wrist, and demonstrating improved BCI control by accounting for these constraints.

The paper examines how object identity is represented in sensorimotor cortex during the transition from hand opening to grasping, finding that neural representation shifts from motor and proprioceptive areas before contact to cutaneous and integrative somatosensory areas after contact.

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

The paper maps human motor cortex using microelectrode recordings, finding whole-body representations and challenging the traditional motor homunculus model.

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.

The paper shows that neuronal population dynamics in motor cortex differ between reaching and grasping movements, suggesting different circuit mechanisms for each task.