Task-relevant and task-irrelevant variability causally shape error-based motor learning

Task errors drive memories that improve sensorimotor adaptation

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How hierarchical models improve point estimates of model parameters at the individual level

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Exploration of joint redundancy but not task space variability facilitates supervised motor learning

(2016) Puneet Singh et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

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Effective reinforcement learning following cerebellar damage requires a balance between exploration and motor noise

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Representation of Muscle Synergies in the Primate Brain

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Finding an optimal rehabilitation paradigm after stroke: enhancing fiber growth and training of the brain at the right moment

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Temporal structure of motor variability is dynamically regulated and predicts motor learning ability

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Cortical activity in the null space: permitting preparation without movement

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Differences in Adaptation Rates after Virtual Surgeries Provide Direct Evidence for Modularity

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The neural origin of muscle synergies

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Learning from Sensory and Reward Prediction Errors during Motor Adaptation

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Error Correction, Sensory Prediction, and Adaptation in Motor Control

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Motor Learning Is Optimally Tuned to the Properties of Motor Noise

(2009) Robert J. van Beers   NEURON

Contributions of Online Visual Feedback to the Learning and Generalization of Novel Finger Coordination Patterns

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Sensitivity Derivatives for Flexible Sensorimotor Learning

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