Tricia L Gibo

Summary

Affiliation: Johns Hopkins University
Country: USA

Publications

  1. doi request reprint Gradual anisometric-isometric transition for human-machine interfaces
    Tricia L Gibo
    Department of Mechanical Engineering, Johns Hopkins University, Baltimore, MD 21218, USA
    Conf Proc IEEE Eng Med Biol Soc 2011:4507-10. 2011
  2. pmc Cerebellar ataxia impairs modulation of arm stiffness during postural maintenance
    Tricia L Gibo
    Department of Mechanical Engineering, Johns Hopkins University, Baltimore, Maryland
    J Neurophysiol 110:1611-20. 2013
  3. pmc Cerebellar motor learning: are environment dynamics more important than error size?
    Tricia L Gibo
    Department of Mechanical Engineering, Johns Hopkins University, Baltimore, MD, USA
    J Neurophysiol 110:322-33. 2013

Detail Information

Publications3

  1. doi request reprint Gradual anisometric-isometric transition for human-machine interfaces
    Tricia L Gibo
    Department of Mechanical Engineering, Johns Hopkins University, Baltimore, MD 21218, USA
    Conf Proc IEEE Eng Med Biol Soc 2011:4507-10. 2011
    ..Anisometric to isometric transitioning can potentially be used for training purposes, enabling transfer of what was learned in one mode to the other, as well as novel studies of the human sensorimotor system...
  2. pmc Cerebellar ataxia impairs modulation of arm stiffness during postural maintenance
    Tricia L Gibo
    Department of Mechanical Engineering, Johns Hopkins University, Baltimore, Maryland
    J Neurophysiol 110:1611-20. 2013
    ..The transfer of stiffness control from the static to the movement task may be a strategy that can be used by patients to compensate for their motor deficits. ..
  3. pmc Cerebellar motor learning: are environment dynamics more important than error size?
    Tricia L Gibo
    Department of Mechanical Engineering, Johns Hopkins University, Baltimore, MD, USA
    J Neurophysiol 110:322-33. 2013
    ..Altogether, these findings show that dynamics affect learning in cerebellar patients more than error size. ..