Hyosub E. Kim

This study investigates how sensorimotor adaptation during split-belt treadmill walking affects lower limb position sense, finding no reliable changes in position sense but a relationship between adaptation plateau and double limb support time.

The paper investigates how the human sensorimotor system parses movement errors into external and internal components during adaptation and detection, finding distinct computational strategies for implicit adaptation and explicit detection.

The paper investigates how muscle vibration affects target-directed reaching, finding that dual vibration causes endpoint bias without increasing movement variability.

This study shows that implicit motor adaptation can occur without afferent proprioceptive feedback, suggesting efferent-based predictions play a key role.

This paper introduces a Bayesian model to explain how humans distinguish and adapt to internal vs. external movement errors during motor learning.

This study compares explicit and implicit locomotor learning in individuals with chronic stroke to neurologically intact controls, finding deficits in both processes.

This study shows humans can learn new walking patterns through reinforcement learning, despite stability risks, and retain explicit memory better than implicit memory.

This paper introduces a reliable and efficient Bayesian method to assess static lower limb position sense using an adaptive algorithm and dual-belt treadmill.

This paper proposes a proprioceptive re-alignment model to explain implicit sensorimotor adaptation, challenging the traditional visuo-centric view by focusing on minimizing proprioceptive error.

The paper investigates how sensory prediction errors and task errors interact in implicit motor learning and finds that task errors alone cannot drive recalibration but modulate it when sensory prediction errors are present.

The paper studies motor skill acquisition using video game data from 7174 participants over months, finding that motor acuity improves significantly with practice, unlike typical lab-based studies.

The paper investigates use-dependent learning (UDL) and finds that movement biases arise from both contaminated motor plans and execution biases, with planning dynamics showing a stronger influence.

This study investigates how cerebellar degeneration affects feedforward and feedback control in reaching and speech tasks, finding impaired feedforward control but preserved feedback control.

This study investigates how re-exposure to a sensorimotor perturbation affects explicit and implicit learning, finding that explicit learning shows savings while implicit adaptation is reduced.

The paper examines how individual differences in proprioception relate to the upper limit of motor adaptation to visual perturbations, finding correlations with both proprioceptive variability and shift.

The paper investigates how visual uncertainty affects implicit motor adaptation, finding that uncertainty reduces learning only for small errors, suggesting it alters perceived feedback location rather than error signal strength.

This study investigates how task success signals influence implicit motor learning through reward-based mechanisms in reaching tasks.

The paper shows that motor correction is limited by error size rather than error sensitivity in sensorimotor adaptation.