Amy J. Bastian

This paper identifies an automatic stimulus-response mapping mechanism in treadmill walking that enables both flexibility and automaticity in movement.

This study investigates brain interactions during reward-based motor tasks, finding that ventral striatum and cerebellum show distinct activity and connectivity patterns based on task outcomes and individual preferences.

This study examines how timing demands and interaction torques affect reaching accuracy in individuals with cerebellar ataxia, finding increased errors and variability in movement coordination.

This study shows that task demands shift motor learning from adaptation to feedback control in bimanual tasks, with precision demands and interlimb conflict influencing learning strategies.

This study examines movement control in cerebellar ataxia, finding preserved feedforward and feedback control structures but increased delays and reduced feedback gain, with preview information improving performance.

This study finds that reinforcement learning is impaired in the sub-acute post-stroke period, while error-based learning remains unaffected, suggesting the need for adjusted rehabilitation strategies.

This study shows that reinforcement motor learning improves with age in children, with younger children showing limited learning due to immature spatial processing and probabilistic reasoning, which can be improved by adjusting task demands.

The paper models the sensorimotor system under computational and physical constraints, finding a preference for joint angle coordinates and revealing avoidance and placement neurons in obstacle navigation.

This study shows cerebellar patients have intact feedback control but with more phase lag, which can be improved by altering visual feedback in a virtual reality setup.