Feedforward impedance control efficiently reduce motor variability

Neuroscience Research

Volumn 65, Issue 1, 2009, Pages 6-10

  Osu, Rieko ^a   Morishige, Ken ichi ^b   Miyamoto, Hiroyuki ^c   Kawato, Mitsuo ^a  

^a ADVANCED TELECOMMUNICATIONS RESEARCH INSTITUTE INTERNATIONAL   (Japan)

^b TOYAMA PREFECTURAL UNIVERSITY   (Japan)

^c KYUSHU INSTITUTE OF TECHNOLOGY   (Japan)

Author keywords

EMG; Feedback; Human arm movement; Learning; Signal dependent noise; Stiffness

Indexed keywords

ARM MOVEMENT; ARTICLE; EXTENSOR MUSCLE; FLEXOR MUSCLE; HUMAN; JOINT FUNCTION; MOTOR CONTROL; MOTOR PERFORMANCE; MUSCLE CONTRACTION; POSITIVE FEEDBACK; PRIORITY JOURNAL;

ARM; CENTRAL NERVOUS SYSTEM; ELECTRIC IMPEDANCE; ELECTROMYOGRAPHY; FEEDBACK; HUMANS; LEARNING; MODELS, NEUROLOGICAL; MOVEMENT; MUSCLE CONTRACTION; MUSCLE, SKELETAL; PSYCHOMOTOR PERFORMANCE; TASK PERFORMANCE AND ANALYSIS;

EID: 67650448248     PISSN: 01680102     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neures.2009.05.012     Document Type: Article

References (18)

1. Burdet E., Osu R., Franklin D.W., Milner T.E., and Kawato M. The central nervous system stabilizes unstable dynamics by learning optimal impedance. Nature 414 (2001) 446-449
2. Franklin D.W., Burdet E., Osu R., Kawato M., and Milner T.E. Functional significance of stiffness in adaptation of multijoint arm movements to stable and unstable dynamics. Exp. Brain Res. 151 (2003) 145-157
3. Franklin D.W., Burdet E., Tee K.P., Osu R., Chew C.M., Milner T.E., and Kawato M. CNS learns stable, accurate, and efficient movements using a simple algorithm. J. Neurosci. 28 (2008) 11165-11173
4. Franklin D.W., Liaw G., Milner T.E., Osu R., Burdet E., and Kawato M. Endpoint stiffness of the arm is directionally tuned to instability in the environment. J. Neurosci. 27 (2007) 7705-7716
5. Franklin D.W., So U., Kawato M., and Milner T.E. Impedance control balances stability with metabolically costly muscle activation. J. Neurophysiol. 92 (2004) 3097-3105
6. Gribble P.L., Mullin L.I., Cothros N., and Mattar A. Role of cocontraction in arm movement accuracy. J. Neurophysiol. 89 (2003) 2396-2405
7. Harris C.M., and Wolpert D.M. Signal-dependent noise determines motor planning. Nature 394 (1998) 780-784
8. Hogan N. The mechanics of multi-joint posture and movement control. Biol. Cybernet. 52 (1985) 315-331
9. Jones K.E., Hamilton A.F., and Wolpert D.M. Sources of signal-dependent noise during isometric force production. J. Neurophysiol. 88 (2002) 1533-1544
10. McIntyre J., Mussa-Ivaldi F.A., and Bizzi E. The control of stable postures in the multijoint arm. Exp. Brain Res. 110 (1996) 248-264
11. Mehta B., and Schaal S. Forward models in visuomotor control. J. Neurophysiol. 88 (2002) 942-953
12. Miyamoto H., Nakano E., Wolpert D.M., and Kawato M. TOPS (task optimization in the presence of signal-dependent noise) model. Syst. Comput. Jpn. 35 (2004) 940-949
13. Morishige K., Osu R., Kamimura N., Iwasaki H., Miyamoto H., Wada Y., and Kawato M. Feedforward impedance control imporves accuracy in rapid reaching movement. IEICE Trans. Inform. Syst. J89-D (2006) 1588-1598
14. Nagata Y., Miyamoto H., Nakano E., and Kawato M. Quantitative examinations of trajectory planning criteria in multijoint movement-TOPS model. Tech. Rep. Inst. Electr. Inform. Commun. Eng. NC2002-70 (2002) 25-35
15. Osu R., Kamimura N., Iwasaki H., Nakano E., Harris C.M., Wada Y., and Kawato M. Optimal impedance control for task achievement in the presence of signal-dependent noise. J. Neurophysiol. 92 (2004) 1199-1215
16. Todorov E. Stochastic optimal control and estimation methods adapted to the noise characteristics of the sensorimotor system. Neural Comput. 17 (2005) 1084-1108
17. Todorov E., and Jordan M.I. Optimal feedback control as a theory of motor coordination. Nat. Neurosci. 5 (2002) 1226-1235
18. van Galen G.P., and de Jong W.P. Fitts' law as the outcome of a dynamic noise filtering model of motor control. Hum. Mov. Sci. 14 (1995) 539-571