Accelerating motor adaptation by influencing neural computations

Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

Volumn 26 VI, Issue , 2004, Pages 4033-4036

  Emken, J L ^a   Reinkensmeyer, D J ^a,b  

^a University of California at Irvine   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Locomotion; Motor adaptation

Indexed keywords

EXERCISE EQUIPMENT; FINITE DIFFERENCE METHOD; GAIT ANALYSIS; LEARNING SYSTEMS; MATHEMATICAL MODELS; MOTORS; STIFFNESS; VISCOSITY;

LOCOMOTION; MOTOR ADAPTATION; VISCOUS FORCE FIELD;

NEUROLOGY;

EID: 11144254436     PISSN: 05891019     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (4)

1. J. Liu and D. J. Reinkensmeyer, "Motor Adaptation as an optimal combination of computational strategies," to appear at 26th Annual International IEEE EMBS, San Francisco, CA, 2004.
2. K. A. Thoroughman and R. Shadmehr, "Learning of action through adaptive combination of motor primitives. [Comment In: Nature. 2000 Oct 12;407(6805):682-3 UI: 20500195]," Nature, vol. 407, pp. 742-7, 2000.
3. R. A. Scheidt, J. B. Dingwell, and F. A. Mussa-Ivaldi, "Learning to move amid uncertainty," Journal of Neurophysiology, vol. 86, pp. 971-85, 2001.
4. D. Reinkensmeyer, J. Wynne, and S. Harkema, "A robotic tool for studying locomotor adaptation and rehabilitation," Second Joint Meeting of the IEEE Engineering in Medicine and Biology Society and the Biomedical Engineering Society, pp. 2353-2354, 2002.