Motor adaptation to different dynamic environments is facilitated by indicative context stimuli

Psychological Research

Volumn 68, Issue 4, 2004, Pages 245-251

  Richter, Stefanie ^a,b   Petra, Jansen Osmann ^a   Konczak, Jürgen ^a,c   Kalveram, Karl Theodor ^a  

^a HEINRICH HEINE UNIVERSITY   (Germany)

^b UNIVERSITY OF DUISBURG ESSEN   (Germany)

^c UNIVERSITY OF MINNESOTA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; ARTICLE; CLINICAL TRIAL; CONTROLLED CLINICAL TRIAL; CONTROLLED STUDY; ELBOW; FEMALE; HUMAN; JOINT CHARACTERISTICS AND FUNCTIONS; LEARNING; MALE; MUSCLE ISOMETRIC CONTRACTION; ORIENTATION; PSYCHOMOTOR PERFORMANCE; PSYCHOPHYSICS; RANDOMIZED CONTROLLED TRIAL; REACTION TIME; TORQUE; WEIGHT BEARING;

ADULT; ASSOCIATION LEARNING; ELBOW JOINT; FEMALE; HUMANS; ISOMETRIC CONTRACTION; MALE; ORIENTATION; PSYCHOMOTOR PERFORMANCE; PSYCHOPHYSICS; RANGE OF MOTION, ARTICULAR; REACTION TIME; TORQUE; WEIGHT-BEARING;

EID: 16544378219     PISSN: 03400727     EISSN: 14302772     Source Type: Journal    
DOI: 10.1007/s00426-003-0140-y     Document Type: Article

References (15)

1. Conditt, M. A., Gandolfo, F., & Mussa-Ivaldi, F. A. (1997). The motor system does not learn the dynamics of the arm by rote memorization of past experience. Journal of Neurophysiology, 78, 554-560.
2. Gandolfo, F., Mussa-Ivaldi, F. A., & Bizzi, E. (1996). Motor learning by field approximation. Proceedings of the National Academy of Sciences USA, 93, 3843-3846.
3. Jordan, M. I., & Rumelhart, D. E. (1992). Forward models: Supervised learning with a distal teacher. Cognitive Sciences, 16, 307-354.
4. Kalveram, K. T. (1991). Pattern generating and reflex-like processes controlling aiming movements in the presence of inertia, damping and gravity. Biological Cybernetics, 64, 413-419.
5. Kalveram, K. T. (1998). Wie das Individuum mit seiner Umwelt interagiert. Lengerich, Germany: Papst.
6. Kalveram, K. T. (2000). Sensorimotor sequential learning by a neural network based on redefined Hebbian Learning. In Malmgren, H., Borga, M., & Niklasson, L. (Eds). Artificial Neural Networks in Medicine and Biology (pp. 271-276). London: Springer.
7. Karniel, A., & Mussa-Ivaldi, F. A. (2002). Does the motor control system use multiple models and context switching to cope with a variable environment? Experimental Brain Research, 143, 520-524.
8. Konczak, J., Jansen-Osmann, P., & Kalveram, K. T. (2003). The development of force adaptation during childhood. Journal of Motor Behavior, 35, 41-52.
9. Rao, A. K., & Shadmehr, R. (2001). Contextual cues facilitate learning of multiple models of arm dynamics. Society of Neuroscience Abstracts, 302, 4.
10. Shadmehr, R., & Holcomb, H. H. (1997). Neural correlates of motor memory consolidation. Science, 277, 821-825.
11. Shadmehr, R., & Holcomb, H. H. (1999). Inhibitory control of competing motor memories. Experimental Brain Research, 126, 235-251.
12. Shadmehr, R., & Mussa-Ivaldi, F. A. (1994). Adaptive representation of dynamics during learning of a motor task. Journal of Neuroscience, 14, 3208-3224.
13. Vetter, P., & Wolpert, D. M. (2000). Context estimation for sensorimotor control. Journal of Neurophysiology, 84, 1026-1034.
14. Wolpert, D. M., & Kawato, M. (1998). Multiple paired forward and inverse models for motor control. Neural Networks, 11, 1317-1329.
15. Wolpert, D. M., Ghahramani, Z-, & Jordan, M. I. (1995). An internal model for sensorimotor integration. Science, 269, 1880-1882.