Optimal control of a hybrid rhythmic-discrete task: The bouncing ball revisited

Journal of Neurophysiology

Volumn 103, Issue 5, 2010, Pages 2482-2493

  Ronsse, Renaud ^a,b   Wei, Kunlin ^c,d   Sternad, Dagmar ^e  

^a UNIVERSITY OF LIÈGE   (Belgium)

^b UNIVERSITY OF LEUVEN   (Belgium)

^c NORTHWESTERN UNIVERSITY   (United States)

^d PEKING UNIVERSITY   (China)

^e NORTHEASTERN UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; ARTICLE; BODY MOVEMENT; DISCRETE MOVEMENT; FEMALE; HUMAN; HUMAN EXPERIMENT; HYBRID; MALE; MOTOR CONTROL; PRIORITY JOURNAL; RHYTHMIC MOVEMENT; TASK PERFORMANCE; VELOCITY;

ADULT; ALGORITHMS; BIOMECHANICS; COMPUTER SIMULATION; FEMALE; GRAVITATION; HUMANS; MALE; MIDDLE AGED; MODELS, BIOLOGICAL; MOTOR SKILLS; PERIODICITY; PSYCHOMOTOR PERFORMANCE; PSYCHOPHYSICS; REGRESSION ANALYSIS; TASK PERFORMANCE AND ANALYSIS; TIME FACTORS; USER-COMPUTER INTERFACE;

EID: 77953011936     PISSN: 00223077     EISSN: 15221598     Source Type: Journal    
DOI: 10.1152/jn.00600.2009     Document Type: Article

References (48)

1. Adam JJ, Paas FGWC. Dwell time in reciprocal aiming tasks. Hum Mov Sci 15: 1-24, 1996.
2. Buchanan JJ, Park JH, Shea CH. Target width scaling in a repetitive aiming task: switching between cyclical and discrete units of action. Exp Brain Res 175: 710-725, 2006.
3. Davis MHA, Vinter RB. Stochastic Modelling and Control, Volume XII (Monographs on Statistics and Applied Probability). London: Chapman & Hall, 1985.
4. de Rugy A, Wei K, Muller H, Sternad D. Actively tracking "passive" stability in a ball bouncing task. Brain Res 982: 64-78, 2003.
5. Diedrichsen J. Optimal task-dependent changes of bimanual feedback control and adaptation. Curr Biol 17: 1675-1679, 2007.
6. Diedrichsen J, Gush S. Reversal of bimanual feedback responses with changes in task goal. J Neurophysiol 101: 283-288, 2009.
7. Dijkstra TMH, Katsumata H, de Rugy A, Sternad D. The dialogue between data and model: passive stability and relaxation behavior in a ball bouncing task. Nonlinear Studies 11: 319-344, 2004.
8. Ehrlenspiel F, Wei K, Sternad D. Open-loop, closed-loop and compensatory control: performance improvement under pressure in a rhythmic task. Exp Brain Res 201: 729-741, 2010.
9. Faisal AA, Selen LPJ, Wolpert DM. Noise in the nervous system. Nat Rev Neurosci 9: 292-303, 2008.
10. Gold JI, Shadlen MN. The neural basis of decision making. Annu Rev Neurosci 30: 535-574, 2007.
11. Harris CM, Wolpert DM. Signal-dependent noise determines motor planning. Nature 394: 780-784, 1998.
12. Hogan N, Sternad D. On rhythmic and discrete movements: reflections, definitions and implications for motor control. Exp Brain Res 181: 13-30, 2007.
13. Huys R, Studenka BE, Rheaume NL, Zelaznik HN, Jirsa VK. Distinct timing mechanisms produce discrete and continuous movements. PLoS Comput Biol, 4: e1000061, 2008.
14. Ijspeert AJ. Central pattern generators for locomotion control in animals and robots: a review. Neural Netw 21: 642-653, 2008.
15. Ivry RB, Hazeltine RE. Perception and production of temporal intervals across a range of durations: evidence for a common timing mechanism. J Exp Psychol Hum Percept Perform 21: 3-18, 1995.
16. Katsumata H, Zatsiorsky V, Sternad D. Control of ball-racket interactions in rhythmic propulsion of elastic and non-elastic balls. Exp Brain Res 149: 17-29, 2003.
17. Lee KM, Chang KH, Roh JK. Subregions within the supplementary motor area activated at different stages of movement preparation and execution. NeuroImage 9: 117-123, 1999.
18. Liu D, Todorov E. Evidence for the flexible sensorimotor strategies predicted by optimal feedback control. J Neurosci 27: 9354-9368, 2007.
19. McGeer T. Passive dynamic walking. Int J Robot Res 9: 62-82, 1990.
20. Nagasaki H. Asymmetrical trajectory formation in cyclic forearm movements in man. Exp Brain Res 87: 653-661, 1991.
21. Ronsse R, Lefèvre P, Sepulchre R. Rhythmic feedback control of a blind planar juggler. IEEE Trans Robotics 23: 790-802, 2007.
22. Ronsse R, Lefèvre P, Sepulchre R. Robotics and neuroscience: ȧ rhythmic interaction. Neural Netw 21: 577-583, 2008a.
23. Ronsse R, Sternad D, Lefèvre P. A computational model for rhythmic and discrete movements in uni- and bimanual coordination. Neural Comput 21: 1335-1370, 2009.
24. Ronsse R, Thonnard J-L, Lefèvre P, Sepulchre R. Control of bimanual rhythmic movements: trading efficiency for robustness depending on the context. Exp Brain Res 187: 193-205, 2008b.
25. Saltzman E , Kelso JA. Skilled actions: a task-dynamic approach. Psychol Rev 94: 84-106, 1987.
26. Schaal S, Atkeson CG, Sternad D. One-handed juggling: ȧ dynamical approach to a rhythmic movement task. J Mot Behav 28: 165-183, 1996. (Pubitemid 26261154)
27. Schaal S, Sternad D, Osu R, Kawato M. Rhythmic arm movement is not discrete. Nat Neurosci 7: 1136-1143, 2004.
28. Scott SH. Optimal feedback control and the neural basis of volitional motor control. Nat Rev Neurosci 5: 532-546, 2004.
29. Scott SH. Inconvenient truths about neural processing in primary motor cortex. J Physiol 586: 1217-1224, 2008.
30. Shadmehr R, Krakauer JW. A computational neuroanatomy for motor control. Exp Brain Res 185: 359-381, 2008.
31. Shadmehr R, Wise SP. The Computational Neurobiology of Reaching and Pointing. A Foundation for Motor Learning. Cambridge, MA; MIT Press, 2005.
32. Smits-Engelsman BC, Swinnen SP, Duysens J. The advantage of cyclic over discrete movements remains evident following changes in load and amplitude. Neurosci Lett 396: 28-32, 2006.
33. Srinivasan M , Ruina A. Computer optimization of a minimal biped model discovers walking and running. Nature 439: 72-75, 2006.
34. Sternad D. Towards a unified framework for rhythmic and discrete movements: behavioral, modeling and imaging results. In: Coordination: Neural, Behavioral and Social Dynamics, edited by Fuchs A, Jirsa V. New York: Springer, 2008, p. 105-136.
35. Sternad D, Dean WJ, Schaal S. Interaction of rhythmic and discrete pattern generators in single-joint movements. Hum Mov Sci 19: 627-664, 2000.
36. Sternad D, Duarte M, Katsumata H, Schaal S. Bouncing a ball: tuning into dynamic stability. J Exp Psychol Hum Percept Perform 27: 1163-1184, 2001a. (Pubitemid 33596615)
37. Sternad D, Duarte M, Katsumata H, Schaal S. Dynamics of a bouncing ball in human performance. Phys Rev E 6301: 011902, 2001b.
38. Tassa Y, Erez T, Smart W. Receding horizon differential dynamic programming. In: Advances in Neural Information Processing Systems, edited by Platt J, Roller D, Singer Y, Roweis S. Cambridge, MA: MIT Press, 2008, vol. 20, p. 1465-1472.
39. Todorov E. Optimality principles in sensorimotor control. Nat Neurosci 7: 907-915, 2004.
40. Todorov E. Stochastic optimal control and estimation methods adapted to the noise characteristics of the sensorimotor system. Neural Comput 17: 1084-1108, 2005.
41. Todorov E, Jordan MI. Optimal feedback control as a theory of motor coordination. Nat Neurosci 5: 1226-1235, 2002.
42. Todorov E, Li W, Pan X. From task parameters to motor synergies: a hierarchical framework for approximately-optimal control of redundant manipulators. J Robot Syst 22: 691-710, 2005.
43. van der Wel RPRD, Sternad D, Rosenbaum DA. Moving the arm at different rates: slow movements are avoided. J Mot Behav 42: 29-36, 2010.
44. van Mourik AM, Beek PJ. Discrete and cyclical movements: unified dynamics or separate control? Acta Psychol 117: 121-138, 2004.
45. Wei K, Dijkstra TMH, Sternad D. Passive stability and active control in a rhythmic task. J Neurophysiol 98: 2633-2646, 2007.
46. Wei K, Dijkstra TMH, Sternad D. Stability and variability: indicators for passive stability and active control in a rhythmic task. J Neurophysiol 99: 3027-3041, 2008.
47. Zago M, Bosco G, Maffei V, Iosa M, Ivanenko YP, Lacquaniti F. Internal models of target motion: expected dynamics overrides measured kinematics in timing manual interceptions. J Neurophysiol 91: 1620-1634, 2004.
48. Zago M, Lacquaniti F. Internal model of gravity for hand interception: parametric adaptation to zero-gravity visual targets on earth. J Neurophysiol 94: 1346-1357, 2005.