Probabilistic models in human sensorimotor control

Human Movement Science

Volumn 26, Issue 4, 2007, Pages 511-524

  Wolpert, Daniel M ^a  

^a UNIVERSITY OF CAMBRIDGE   (United Kingdom)

Author keywords

Bayesian processes; Computational models; Motor control; Motor learning

Indexed keywords

ANALYTICAL ERROR; ARTICLE; BAYES THEOREM; CENTRAL NERVOUS SYSTEM; DECISION THEORY; HUMAN; LOCOMOTION; MAXIMUM LIKELIHOOD METHOD; MOTOR CONTROL; PROBABILITY; SENSORIMOTOR FUNCTION; SIGNAL NOISE RATIO; TASK PERFORMANCE;

BAYES THEOREM; CENTRAL NERVOUS SYSTEM; CULTURE; DECISION THEORY; HUMANS; KINESTHESIS; LIKELIHOOD FUNCTIONS; MODELS, STATISTICAL; MOVEMENT; ORIENTATION; PERCEPTION; PROPRIOCEPTION; PSYCHOMOTOR PERFORMANCE; SOCIAL ENVIRONMENT; UNCERTAINTY;

EID: 34548204368     PISSN: 01679457     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.humov.2007.05.005     Document Type: Article

References (57)

1. Adams W.J., Graf E.W., and Ernst M.O. Experience can change the 'light-from-above' prior. Nature Neuroscience 7 (2004) 1057-1058
2. Alais D., and Burr D. The ventriloquist effect results from near-optimal bimodal integration. Current Biology 14 (2004) 257-262
3. Barlow H.B., Kaushal T.P., Hawken M., and Parker A.J. Human contrast discrimination and the threshold of cortical neurons. Journal of the Optical Society of America A - Optics, Image Science, and Vision 4 12 (1987) 2366-2371
4. Clamann H.P. Statistical analysis of motor unit firing patterns in a human skeletal muscle. Biophysical Journal 9 (1969) 1233-1251
5. Cole J. Pride and a daily marathon (1995), MIT Press, Cambruidge, MA
6. Cox R.T. Probability, frequency and reasonable expectation. American Journal of Physics 14 (1946) 1-13
7. Ernst M.O., and Banks M.S. Humans integrate visual and haptic information in a statistically optimal fashion. Nature 415 6870 (2002) 429-433
8. Ernst M.O., and Bulthoff H.H. Merging the senses into a robust percept. Trends in Cognitive Science 8 (2004) 162-169
9. Flash T., and Hogan N. The co-ordination of arm movements: An experimentally confirmed mathematical model. Journal of Neuroscience 5 (1985) 1688-1703
10. Frank T.D., Friedrich R., and Beek P.J. Stochastic order parameter equation of isometric force production revealed by drift-diffusion estimates. Physical Review E. Statistical, Nonlinear, and Soft Matter Physics 74 5 Pt. 1 (2006) 051905
11. Freedman D.A. Some issues in the foundation of statistics. Foundations of Science 1 (1995) 19-83
12. Geisler W.S., and Kersten D. Illusions, perception and Bayes. Nature Neuroscience 5 (2002) 508-510
13. Glimcher P. Decisions, uncertainty, and the brain: The science of neuroeconomics (2003), MIT Press, Cambridge, MA
14. Goodwin G.C., and Sin K.S. Adaptive filtering prediction and control (1984), Prentice-Hall, Englewood Cliffs, NJ
15. Hamilton A.F., Jones K.E., and Wolpert D.M. The scaling of motor noise with muscle strength and motor unit number in humans. Experimental Brain Research 157 (2004) 417-430
16. Harris C.M., and Wolpert D.M. Signal-dependent noise determines motor planning. Nature 394 6695 (1998) 780-784
17. Harris C.M., and Wolpert D.M. The main sequence of saccades optimizes speed-accuracy trade-off. Biological Cybernetics 95 (2006) 21-29
18. Haruno M., and Wolpert D.M. Optimal control of redundant muscles in step-tracking wrist movements. Journal of Neurophysiology 94 (2005) 4244-4255
19. von Helmholtz H. Handbuch der Physiologischen Optik. 1st ed. (1867), Voss, Hamburg
20. Hillis J.M., Watt S.J., Landy M.S., and Banks M.S. Slant from texture and disparity cues: Optimal cue combination. Journal of Vision 4 (2004) 967-992
21. Hogan N. An organizing principle for a class of voluntary movements. Journal of Neuroscience 4 (1984) 2745-2754
22. Jacobs R.A. Optimal integration of texture and motion cues to depth. Vision Research 39 (1999) 3621-3629
23. Jaynes, E. (1995). Probability theory: The logic of science.
24. Jones K.E., Hamilton A.F., and Wolpert D.M. Sources of signal-dependent noise during isometric force production. Journal of Neurophysiology 88 (2002) 1533-1544
25. Knill D.C., and Saunders J.A. Do humans optimally integrate stereo and texture information for judgments of surface slant?. Vision Research 43 (2003) 2539-2558
26. Kording K.P., Ku S.P., and Wolpert D.M. Bayesian integration in force estimation. Journal of Neurophysiology 92 (2004) 3161-3165
27. Kording K.P., and Wolpert D.M. Bayesian integration in sensorimotor learning. Nature 427 6971 (2004) 244-247
28. Kording K.P., and Wolpert D.M. The loss function of sensorimotor learning. Proceedings of the National Academy of Sciences USA 101 (2004) 9839-9842
29. Kuo A.D. An optimal-control model for analyzing human postural balance. IEEE Transactions on Biomedical Engineering 42 (1995) 87-101
30. MacKay D.J.C. Information theory, inference, and learning algorithms (2003), Cambridge University press, Cambridge, UK. http://www.inference.phy.cam.ac.uk/mackay/itila/book.html Also available online at:
31. Matthews P.B. Relationship of firing intervals of human motor units to the trajectory of post-spike after-hyperpolarization and synaptic noise. Journal of Physiology 492 Pt 2 (1996) 597-628
32. Merfeld D.M., Zupan L., and Peterka R.J. Humans use internal model to estimate gravity and linear acceleration. Nature 398 (1999) 615-618
33. Miyazaki M., Nozaki D., and Nakajima Y. Testing Bayesian models of human coincidence timing. Journal of Neurophysiology 94 (2005) 395-399
34. Morasso P. Spatial control of arm movements. Experimental Brain Research 42 (1981) 223-227
35. Pandy M.G. Computer modeling and simulation of human movement. Annual Review of Biomedical Engineering 3 (2001) 245-273
36. Poulton E.C. Models for biases in judging sensory magnitude. Psychological Bulletin 86 (1979) 777-803
37. Ramachandran V.S. Perceiving shape from shading. Scientific American 259 (1988) 76-83
38. Schmidt R.A., Zelaznik H., Hawkins B., Frank J.S., and Quinn Jr. J.T. Motor-output variability: A theory for the accuracy of rapid motor acts. Psychological Review 47 (1979) 415-451
39. Schmidt R.A., Zelaznik H.N., and Frank J.S. Sources of inaccuracy in rapid movements. In: Stelmach G.E. (Ed). Information processing in motor control and learning (1978), Academic Press, New York 183-202
40. Scott S.H. Optimal feedback control and the neural basis of volitional motor control. Nature Reviews Neuroscience 5 (2004) 532-546
41. Scott S.H., and Loeb G.E. The computation of position sense from spindles in mono- and multiarticular muscles. Journal of Neuroscience 14 (1994) 7529-7540
42. Smeets J.B., Van den Dobbelsteen J.J., De Grave D.D., Van Beers R.J., and Brenner E. Sensory integration does not lead to sensory calibration. Proceedings of the National Academy of Sciences USA 103 (2006) 18781-18786
43. Sober S.J., and Sabes P.N. Flexible strategies for sensory integration during motor planning. Nature Neuroscience 8 (2005) 490-497
44. Soechting J.F., and Lacquaniti F. Invariant characteristics of a pointing movement in man. Journal of Neuroscience 1 (1981) 710-720
45. Srinivasan M., and Ruina A. Computer optimization of a minimal biped model discovers walking and running. Nature 439 7072 (2006) 72-75
46. Tassinari H., Hudson T.E., and Landy M.S. Combining priors and noisy visual cues in a rapid pointing task. Journal of Neuroscience 26 (2006) 10154-10163
47. Todorov E. Optimality principles in sensorimotor control. Nature Neuroscience 7 9 (2004) 907-915
48. Todorov E. Stochastic optimal control and estimation methods adapted to the noise characteristics of the sensorimotor system. Neural Computation 17 (2005) 1084-1108
49. Trommershauser J., Maloney L.T., and Landy M.S. Statistical decision theory and the selection of rapid, goal-directed movements. Journal of the Optical Society of America A - Optics, Image Science, and Vision 20 (2003) 1419-1433
50. Uno Y., Kawato M., and Suzuki R. Formation and control of optimal trajectories in human multijoint arm movements: Minimum torque-change model. Biological Cybernetics 61 (1989) 89-101
51. Van Beers R.J., Sittig A.C., and Denier van der Gon J.J. How humans combine simultaneous proprioceptive and visual position information. Experimental Brain Research 111 (1996) 253-261
52. Van Beers R.J., Sittig A.C., and Gon J.J. Integration of proprioceptive and visual position-information: An experimentally supported model. Journal of Neurophysiology 81 (1999) 1355-1364
53. Van Beers R.J., Wolpert D.M., and Haggard P. When feeling is more important than seeing in sensorimotor adaptation. Current Biology 12 (2002) 834-837
54. Viviani P., and Flash T. Minimum-jerk model, two-thirds power law and isochrony: Converging approaches to the study of movement planning. Journal of Experimental Psychology: Human Perception and Performance 21 (1995) 32-53
55. Weiss Y., Simoncelli E.P., and Adelson E.H. Motion illusions as optimal percepts. Nature Neuroscience 5 (2002) 598-604
56. Wolpert D.M., Ghahramani Z., and Jordan M.I. An internal model for sensorimotor integration. Science 269 5232 (1995) 1880-1882
57. Yuille A., and Kersten D. Vision as Bayesian inference: Analysis by synthesis?. Trends in Cognitive Science (2006)