Impedance Control and Internal Model Formation When Reaching in a Randomly Varying Dynamical Environment von Takahashi, C. D, Scheidt, R. A, Reinkensmeyer, D. J

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Retraining the injured spinal cord von Edgerton, V. R., Leon, R. D., Harkema, S. J., Hodgson, J. A., London, N., Reinkensmeyer, D. J., Roy, R. R., Talmadge, R. J., Tillakaratne, N. J., Timoszyk, W., Tobin, A.

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Persistence of Motor Adaptation During Constrained, Multi-Joint, Arm Movements von Scheidt, Robert A, Reinkensmeyer, David J, Conditt, Michael A, Rymer, W. Zev, Mussa-Ivaldi, Ferdinando A

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Controlling pre-movement sensorimotor rhythm can improve finger extension after stroke von Norman, S L, McFarland, D J, Miner, A, Cramer, S C, Wolbrecht, E T, Wolpaw, J R, Reinkensmeyer, D J

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Learning to perform a new movement with robotic assistance: comparison of haptic guidance and visual demonstration von Liu, J, Cramer, S C, Reinkensmeyer, D J

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The Rat Lumbosacral Spinal Cord Adapts to Robotic Loading Applied During Stance von Timoszyk, W. K, de Leon, R. D, London, N, Roy, R. R, Edgerton, V. R, Reinkensmeyer, D. J

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Robotics, motor learning, and neurologic recovery von Reinkensmeyer, David J, Emken, Jeremy L, Cramer, Steven C

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Understanding and treating arm movement impairment after chronic brain injury : Progress with the ARM guide von REINKENSMEYER, David J, KAHN, Leonard E, AVERBUCH, Michele, MCKENNA-COLE, Alicia, SCHMIT, Brian D, RYMER, W. Zev

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Hemiparetic stroke impairs anticipatory control of arm movement von TAKAHASHI, Craig D, REINKENSMEYER, David J

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Assessment of active and passive restraint during guided reaching after chronic brain injury von REINKENSMEYER, D. J, SCHMIT, B. D, RYMER, W. Z

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A robotic device for manipulating human stepping von Emken, J.L., Wynne, J.H., Harkema, S.J., Reinkensmeyer, D.J.

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An infrastructure for qualified data sharing and team science in late-stage translational spinal cord injury research von Huie, J. Russell, Torres-Espin, Abel, Sacramento, Jeffrey, Keller, Anastasia V., Joiner, Wilsaan M., North, Ryan, Reinkensmeyer, David J., Rosenzweig, Ephron S., Koffler, Jacob, Tuszynski, Mark H., Sparrey, Carolyn J., Nielson, Jessica L., Beattie, Michael S., Bresnahan, Jacqueline C., Grethe, Jeffrey S., Ferguson, Adam R.

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Can robots help the learning of skilled actions? von Reinkensmeyer, David J, Patton, James L

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Neuromotor Noise Limits Motor Performance, But Not Motor Adaptation, in Children von Takahashi, Craig D, Nemet, Dan, Rose-Gottron, Christie M, Larson, Jennifer K, Cooper, Dan M, Reinkensmeyer, David J

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Robot-assisted movement training for the stroke-impaired arm: Does it matter what the robot does? von Kahn, Leonard E, Lum, Peter S, Rymer, W Zev, Reinkensmeyer, David J

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A pneumatic robot for re-training arm movement after stroke: rationale and mechanical design von Sanchez, R.J., Wolbrecht, E., Smith, R., Liu, J., Rao, S., Cramer, S., Rahman, T., Bobrow, J.E., Reinkensmeyer, D.J.

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Dynamic Motion Planning for the Design of Robotic Gait Rehabilitation von Wang, Chia-Yu E., Bobrow, James E., Reinkensmeyer, David J.

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Hindlimb loading determines stepping quantity and quality following spinal cord transection von Timoszyk, Wojciech K., Nessler, Jeff A., Acosta, Cynthia, Roy, Roland R., Edgerton, V. Reggie, Reinkensmeyer, David J., de Leon, Ray

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Modeling Reaching Impairment After Stroke Using a Population Vector Model of Movement Control That Incorporates Neural Firing-Rate Variability von Reinkensmeyer, David J., Iobbi, Mario G., Kahn, Leonard E., Kamper, Derek G., Takahashi, Craig D.

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Comparison of virtual and physical treadmill environments for training stepping after spinal cord injury von Timoszyk, W. K., de Leon, R. D., London, N., Joynes, R., Minakata, K., Roy, R. R., Edgerton, V. R., Reinkensmeyer, D. J.

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