Force field adaptation can be learned using vision in the absence of proprioceptive error

IEEE Transactions on Neural Systems and Rehabilitation Engineering

Volumn 19, Issue 3, 2011, Pages 298-306

  Melendez Calderon, Alejandro ^a   Masia, Lorenzo ^b   Gassert, Roger ^c   Sandini, Giulio ^b   Burdet, Etienne ^a  

^a IMPERIAL COLLEGE LONDON   (United Kingdom)

^b ISTITUTO ITALIANO DI TECNOLOGIA   (Italy)

^c ETH ZURICH   (Switzerland)

Author keywords

Internal model; motor learning; proprioception; visual feedback; visuo proprioceptive discrepancy

Indexed keywords

EXTERNAL DYNAMICS; FORCE FIELDS; INTERNAL MODELS; MECHANICAL CONSTRAINTS; MOTOR LEARNING; MOTOR TASKS; NOVEL DYNAMIC ENVIRONMENT; PHYSICAL TRAINING; POSITION ERRORS; REACHING MOVEMENTS; ROBOTIC DEVICES; ROBOTIC INTERFACE; VIRTUAL DYNAMICS; VISUAL FEEDBACK; VISUAL INFORMATION; VISUO-PROPRIOCEPTIVE DISCREPANCY;

ERROR COMPENSATION; LYAPUNOV METHODS; ROBOTICS; ROBOTS; TRAJECTORIES; VISUAL COMMUNICATION;

DYNAMICS;

ADAPTIVE BEHAVIOR; ADULT; ALGORITHM; ARM; ARTICLE; BIOMECHANICS; FEMALE; HAND; HUMAN; LEARNING; MALE; MOVEMENT (PHYSIOLOGY); PHOTOSTIMULATION; PHYSIOLOGY; PROPRIOCEPTION; PSYCHOMOTOR PERFORMANCE; ROBOTICS; SENSORY FEEDBACK; THEORETICAL MODEL; VISION;

ADAPTATION, PSYCHOLOGICAL; ADULT; ALGORITHMS; ARM; BIOMECHANICS; FEEDBACK, SENSORY; FEMALE; HAND; HUMANS; LEARNING; MALE; MODELS, THEORETICAL; MOVEMENT; PHOTIC STIMULATION; PROPRIOCEPTION; PSYCHOMOTOR PERFORMANCE; ROBOTICS; VISUAL PERCEPTION; YOUNG ADULT;

EID: 79958733651     PISSN: 15344320     EISSN: None     Source Type: Journal    
DOI: 10.1109/TNSRE.2011.2125990     Document Type: Article

References (36)

1. D. J. Reinkensmeyer and J. L. Patton, "Can robots help the learning of skilled actions?", Exercise Sport Sci. Rev., vol. 37, pp. 43-51, 2009.
2. C. J. Winstein, P. S. Pohl, and R. Lewthwaite, "Effects of physical guidance and knowledge of results on motor learning: Support for the guidance hypothesis", Res. Q. Exercise Sport, vol. 65, pp. 316-323, Dec. 1994.
3. L. E. Kahn, P. S. Lum, W. Z. Rymer, and D. J. Reinkensmeyer, "Robotassisted movement training for the stroke-impaired arm: Does it matter what the robot does?", J. Rehabil. Res. Develop., vol. 43, pp. 619-629, 2006. (Pubitemid 44759899)
4. C. Ghez, J. Gordon, and M. F. Ghilardi, "Impairments of reaching movements in patients without proprioception. II. Effects of visual information on accuracy", J. Neurophysiol., vol. 73, pp. 361-372, Jan. 1, 1995, 1995.
5. J. Gordon, M. F. Ghilardi, and C. Ghez, "Impairments of reaching movements in patients without proprioception. I. Spatial errors", J. Neurophysiol., vol. 73, pp. 347-360, Jan. 1, 1995, 1995.
6. H. Heuer and M. Hegele, "Constraints on visuo-motor adaptation depend on the type of visual feedback during practice", Exp. Brain Res., vol. 185, pp. 101-110, 2008. (Pubitemid 351170523)
7. E. Todorov, R. Shadmehr, and E. Bizzi, "Augmented feedback presented in a virtual environment accelerates learning of a difficult motor task", J. Mot. Behav., vol. 29, pp. 147-158, Jun. 1997. (Pubitemid 27310631)
8. J. Liu, S. C. Cramer, and D. J. Reinkensmeyer, "Learning to perform a new movement with robotic assistance: Comparison of haptic guidance and visual demonstration", J. NeuroEng. Rehabil., vol. 3, 2006.
9. R. A. Scheidt, M. A. Conditt, E. L. Secco, and F. A. Mussa-Ivaldi, "Interaction of visual and proprioceptive feedback during adaptation of human reaching movements", J. Neurophysiol., vol. 93, pp. 3200-3213, 2005. (Pubitemid 40720902)
10. D. W. Franklin, E. Burdet, P. T. Keng, R. Osu, C. M. Chew, T. E. Milner, and M. Kawato, "CNS learns stable accurate and efficient movements using a simple algorithm", J. Neurosci., vol. 28, pp. 11165-11173, 2008.
11. R. A. Scheidt, D. J. Reinkensmeyer, M. A. Conditt, W. Zev Rymer, and F. A. Mussa-Ivaldi, "Persistence of motor adaptation during constrained, multi-joint, arm movements", J. Neurophysiol., vol. 84, pp. 853-862, 2000. (Pubitemid 30655608)
12. D. W. Franklin, U. So, E. Burdet, and M. Kawato, "Visual feedback is not necessary for the learning of novel dynamics", PLoS ONE, vol. 2, x2007.
13. P. Cordo, L. Carlton, L. Bevan, M. Carlton, and G. K. Kerr, "Proprioceptive coordination of movement sequences: Role of velocity and position information", J. Neurophysiol., vol. 71, pp. 1848-1861, 1994. (Pubitemid 24153047)
14. C. D. Mah and F. A. Mussa-Ivaldi, "Generalization of object manipulation skills learned without limb motion", J. Neurosci., vol. 23, pp. 4821-4825, Jun. 15, 2003, 2003. (Pubitemid 36793207)
15. M. Casadio, V. Sanguineti, P. G. Morasso, and V. Arrichiello, "Braccio di ferro: A new haptic workstation for neuromotor rehabilitation", Technol. Health Care, vol. 14, pp. 123-142, 2006. (Pubitemid 44359499)
16. E. Burdet, K. Tee, I. Mareels, T. Milner, C. Chew, D. Franklin, R. Osu, and M. Kawato, "Stability and motor adaptation in human arm movements", Biol. Cybern., vol. 94, pp. 20-32, 2006. (Pubitemid 43007064)
17. K. P. Tee, E. Burdet, C. M. Chew, and T. E. Milner, "A model of force and impedance in human arm movements", Biol. Cybern., vol. 90, pp. 368-375, 2004. (Pubitemid 40871351)
18. D. A. Winter, Biomechanics and Motor Control of Human Movement, 3rd ed. New York: Wiley, 2004.
19. A. Melendez-Calderon, L. Masia, M. Casadio, and E. Burdet, "Force field compensation can be learned without proprioceptive error", presented at the IFMBE World Congress on Medical Physics and Biomedical Engineering, Munich, Germany, 2009.
20. R. Shadmehr and F. A. Mussa-Ivaldi, "Adaptive representation of dynamics during learning of a motor task", J. Neurosci., vol. 14, pp. 3208-3224, 1994. (Pubitemid 24139004)
21. O. Donchin, J. T. Francis, and R. Shadmehr, "Quantifying generalization from trial-by-trial behavior of adaptive systems that learn with basis functions: Theory and experiments in human motor control", J. Neurosci., vol. 23, pp. 9032-9045, Oct. 8, 2003. (Pubitemid 37243804)
22. M. A. Smith and R. Shadmehr, "Intact abilityto learn internal models of arm dynamics in Huntington's disease but not cerebellar degeneration", J. Neurophysiol., vol. 93, pp. 2809-2821, May 2005. (Pubitemid 40570859)
23. K. A. Thoroughman and R. Shadmehr, "Learning of action through adaptive combination of motor primitives", Nature, vol. 407, pp. 742-747, Oct. 12, 2000.
24. M. Casadio, V. Sanguineti, C. Solaro, and P. G. Morasso, "A haptic robot reveals the adaptation capability of individuals with Multiple Sclerosis", Int. J. Robot. Res., vol. 26, pp. 1225-1233, 2007. (Pubitemid 350114645)
25. C. N. Schabowsky, J. M. Hidler, and P. S. Lum, "Greater reliance on impedance control in the nondominant arm compared with the dominant arm when adapting to a novel dynamic environment", Exp. Brain Res., vol. 182, pp. 567-577, Oct. 2007. (Pubitemid 47403856)
26. J. A. Saunders and D. C. Knill, "Humans use continuous visual feedback from the hand to control fast reaching movements", Exp. Brain Res., vol. 152, pp. 341-352, 2003. (Pubitemid 37204598)
27. D. W. Franklin and D. M. Wolpert, "Specificity of reflex adaptation for task-relevant variability", J. Neurosci., vol. 28, pp. 14165-14175, 2008.
28. F. R. Sarlegna, N. Malfait, L. Bringoux, C. Bourdin, and J. L. Vercher, "Force-field adaptation without proprioception: Can vision be used to model limb dynamics?", Neuropsychologia, vol. 48, pp. 60-67, 2010.
29. W. Yejun, P. Bajaj, R. Scheidt, and J. Patton, "Visual error augmentation for enhancing motor learning and rehabilitative relearning", in Proc. 9th Int. Conf. Rehabil. Robot. 2005(ICORR 2005), 2005, pp. 505-510. (Pubitemid 44017860)
30. B. R. Brewer, R. Klatzky, and Y. Matsuoka, "Visual feedback distortion in a robotic environment for hand rehabilitation", Brain Res. Bull., vol. 75, pp. 804-813, Apr. 15, 2008.
31. K. Tee, D. Franklin, M. Kawato, T. Milner, and E. Burdet, "Concurrent adaptation of force and impedance in the redundant muscle system", Biol. Cybern., vol. 102, pp. 31-44, 2010.
32. K. P. Kording and D. M. Wolpert, "Bayesian integration in sensorimotor learning", Nature, vol. 427, pp. 244-247, 2004. (Pubitemid 38112039)
33. R. F. Beer, J. P. A. Dewald, and W. Z. Rymer, "Deficits in the coordination of multijoint arm movements in patients with hemiparesis: Evidence for disturbed control of limb dynamics", Exp. Brain Res., vol. 131, pp. 305-319, 2000. (Pubitemid 30175689)
34. D. J. Reinkensmeyer, L. E. Kahn, M. Averbuch, A. McKenna-Cole, B. D. Schmitt, and W. Z. Rymer, "Understanding and treating arm movement impairment after chronic brain injury: Progress with the ARM guide", J. Rehabil. Res. Develop., vol. 37, pp. 653-662, 2000.
35. C. F. Yeong, A. Melendez-Calderon, R. Gassert, and E. Burdet, "ReachMAN: A personal robot to train reaching and manipulation", in IEEE/RSJ Int. Conf. Intell. Robots Syst., St. Louis, MO, 2009, pp. 4080-4085.
36. H. Gomi and R. Osu, "Task-dependent viscoelasticity of human multijoint arm and its spatial characteristics for interaction with environments", J. Neurosci., vol. 18, pp. 8965-8978, 1998. (Pubitemid 28491761)