Vincent S Huang

Summary

Affiliation: Columbia University
Country: USA

Publications

  1. pmc Active learning: learning a motor skill without a coach
    Vincent S Huang
    Laboratory for Computational Motor Control, Department of Biomedical Engineering, John Hopkins School of Medicine, Baltimore, Maryland, USA
    J Neurophysiol 100:879-87. 2008
  2. pmc Persistence of motor memories reflects statistics of the learning event
    Vincent S Huang
    Laboratory for Computational Motor Control, Department of Biomedical Engineering, Johns Hopkins School of Medicine, Baltimore, Maryland, USA
    J Neurophysiol 102:931-40. 2009
  3. pmc Rethinking motor learning and savings in adaptation paradigms: model-free memory for successful actions combines with internal models
    Vincent S Huang
    Motor Performance Laboratory, Department of Neurology, Columbia University College of Physicians and Surgeons, New York, USA
    Neuron 70:787-801. 2011
  4. pmc Robotic neurorehabilitation: a computational motor learning perspective
    Vincent S Huang
    Motor Performance Laboratory, Department of Neurology, The Neurological Institute, Columbia University College of Physicians and Surgeons, New York, New York, USA
    J Neuroeng Rehabil 6:5. 2009
  5. pmc Overcoming motor "forgetting" through reinforcement of learned actions
    Lior Shmuelof
    Motor Performance Laboratory, The Neurological Institute, Columbia University, New York, New York 10032, USA
    J Neurosci 32:14617-21. 2012
  6. ncbi request reprint Evolution of motor memory during the seconds after observation of motor error
    Vincent S Huang
    Laboratory for Computational Motor Control, Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, Maryland 21205, USA
    J Neurophysiol 97:3976-85. 2007
  7. doi request reprint Improvement after constraint-induced movement therapy: recovery of normal motor control or task-specific compensation?
    Tomoko Kitago
    Columbia University College of Physicians and Surgeons, New York, NY 10032, USA
    Neurorehabil Neural Repair 27:99-109. 2013

Detail Information

Publications7

  1. pmc Active learning: learning a motor skill without a coach
    Vincent S Huang
    Laboratory for Computational Motor Control, Department of Biomedical Engineering, John Hopkins School of Medicine, Baltimore, Maryland, USA
    J Neurophysiol 100:879-87. 2008
    ..While we show that these algorithms do not provide an adequate description of human behavior, our results suggest ways to improve human motor learning by helping people choose an optimal training sequence...
  2. pmc Persistence of motor memories reflects statistics of the learning event
    Vincent S Huang
    Laboratory for Computational Motor Control, Department of Biomedical Engineering, Johns Hopkins School of Medicine, Baltimore, Maryland, USA
    J Neurophysiol 102:931-40. 2009
    ..During motor learning, prior statistics that suggest changes are likely to be permanent result in slowly decaying memories, whereas prior statistics that suggest changes are transient result in rapidly decaying memories...
  3. pmc Rethinking motor learning and savings in adaptation paradigms: model-free memory for successful actions combines with internal models
    Vincent S Huang
    Motor Performance Laboratory, Department of Neurology, Columbia University College of Physicians and Surgeons, New York, USA
    Neuron 70:787-801. 2011
    ..2) Repetition of the newly adapted movement induces directional biases toward the repeated movement. (3) Operant reinforcement through association of the adapted movement with successful error reduction is responsible for savings...
  4. pmc Robotic neurorehabilitation: a computational motor learning perspective
    Vincent S Huang
    Motor Performance Laboratory, Department of Neurology, The Neurological Institute, Columbia University College of Physicians and Surgeons, New York, New York, USA
    J Neuroeng Rehabil 6:5. 2009
    ..We discuss the limitations of current robotic neurorehabilitation paradigms and suggest new research directions from the perspective of computational motor learning...
  5. pmc Overcoming motor "forgetting" through reinforcement of learned actions
    Lior Shmuelof
    Motor Performance Laboratory, The Neurological Institute, Columbia University, New York, New York 10032, USA
    J Neurosci 32:14617-21. 2012
    ..Understanding this competitive balance and exploiting the long-term retention properties of learning through reinforcement is likely to be essential for successful neuro-rehabilitation...
  6. ncbi request reprint Evolution of motor memory during the seconds after observation of motor error
    Vincent S Huang
    Laboratory for Computational Motor Control, Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, Maryland 21205, USA
    J Neurophysiol 97:3976-85. 2007
    ..We suggest that motor error produces an error memory trace that decays with a time constant of about 4 s, continuously promoting adaptation until the next movement...
  7. doi request reprint Improvement after constraint-induced movement therapy: recovery of normal motor control or task-specific compensation?
    Tomoko Kitago
    Columbia University College of Physicians and Surgeons, New York, NY 10032, USA
    Neurorehabil Neural Repair 27:99-109. 2013
    ..Constraint-induced movement therapy (CIMT) has proven effective in increasing functional use of the affected arm in patients with chronic stroke. The mechanism of CIMT is not well understood...