Jonathan Sanching Tsay

This study develops a behavioral paradigm and computational model to show that strategy discovery in motor learning involves systematic exploration followed by an 'aha' moment, outperforming alternative learning models.

This study introduces a continuous proprioceptive tracking paradigm and computational modeling to capture dynamic proprioception in real time, showing it provides faster and more accurate limb state estimates than vision.

The paper investigates motor learning and transfer symmetry across hands using meta-analysis and experiments, finding symmetric adaptation and transfer despite hemispheric lateralization in motor control.

This study shows that cervical spinal cord stimulation impairs proprioception but improves voluntary arm reaching in post-stroke patients.

This study investigates how low vision affects explicit motor adaptation and finds no measurable impact on discovering or recalling sensorimotor strategies.

The paper shows motor biases result from a misalignment between visual and proprioceptive reference frames, not from planning errors or biomechanical constraints.

This study quantifies how age, sex/gender, and experience affect motor control using a large dataset of reaching tasks.

This study investigates how target configuration during motor adaptation training affects learning strategies and generalization, finding that angular target groups learned translation rules while extent groups learned gain rules.

This study shows that hypothesis testing leads to an efficiency-flexibility trade-off in motor learning, with constrained environments resulting in slower learning but better generalization.

This study investigates how goal uncertainty affects implicit sensorimotor adaptation and finds that it significantly reduces adaptation, independent of visual and kinematic factors.

This study investigates how aging affects explicit and implicit sensorimotor learning through meta-analysis and controlled experiments, finding dissociated impairments and enhancements in these processes.

This study compares how symbolic and sensory feedback affect motor adaptation, finding that symbolic feedback leads to slower and more explicit learning.

This paper shows that perturbation variability does not affect implicit sensorimotor adaptation, as non-linear error correction explains observed effects without requiring changes in error sensitivity.

This study investigates how feedback timing affects sensorimotor adaptation, finding that optimal feedback timing occurs before hand reaching the target, similar to continuous feedback.

This study investigates how the relevance of visual feedback affects implicit sensorimotor adaptation, finding that task-relevant feedback enhances aftereffects while distracting feedback reduces them.

This study shows that binary feedback can drive implicit motor learning, as evidenced by a consistent aftereffect in a center-out reaching task.

The paper shows that time perception in humans is governed by a single mechanism that adapts to both local and global environmental statistics.

This study investigates contextual interference in implicit sensorimotor adaptation by comparing blocked and random practice schedules on a reaching task with feedback perturbations.

This study investigates the role of proprioception in implicit sensorimotor adaptation and perceived movement outcome by examining individuals lacking proprioception, finding minimal impact on adaptation and perceived outcome.

This study uses a large dataset from a citizen science project to analyze predictors of sensorimotor adaptation and identifies novel constraints in implicit and explicit learning processes.

This study finds that low vision impairs implicit sensorimotor adaptation for small visual errors but not large ones, revealing a constraint on how low-fidelity visual information is processed for motor learning.

This study shows that cerebellar degeneration impairs the discovery of a strategic re-aiming strategy but not its recall during a visuomotor adaptation task.

This study investigates implicit motor adaptation in Parkinson's Disease using a visuomotor task and finds no significant difference between PD patients and controls, suggesting preserved implicit adaptation.

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.

This paper shows that sensorimotor adaptation results from a rigid motor correction function, not from an implicit memory of errors, refuting a previous claim.

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.

This study investigates the role of the cerebellum in cognitive tasks by comparing performance of individuals with cerebellar degeneration on tasks requiring continuous mental operations versus discrete operations.

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.

The paper develops an online platform for sensorimotor learning studies and shows it replicates lab-based motor learning results.