|
|
||||||||
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
1 ATR Computational Neuroscience Laboratories, 2-2-2 Hikaridai, Keihanna Science City, Kyoto, 619-0288, Japan School of Kinesiology, Simon Fraser University, Burnaby, B.C. V5A 1S6, Canada
This study investigated the neuromuscular mechanisms underlying the initial stage of adaptation to novel dynamics. A destabilizing velocity-dependent force field (VF) was introduced for sets of three consecutive trials. Between sets a random number of 48 null field trials were interposed, where the VF was inactivated. This prevented subjects from learning the novel dynamics, making it possible to repeatedly recreate the initial adaptive response. We were able to investigate detailed changes in neural control between the first, second and third VF trials. We identified two feedforward control mechanisms, which were initiated on the second VF trial and resulted in a 50% reduction in the hand path error. Responses to disturbances encountered on the first VF trial were feedback in nature, i.e. reflexes and voluntary correction of errors. However, on the second VF trial, muscle activation patterns were modified in anticipation of the effects of the force field. Feedforward cocontraction of all muscles was used to increase the viscoelastic impedance of the arm. While stiffening the arm, subjects also exerted a lateral force to counteract the perturbing effect of the force field. These anticipatory actions indicate that the central nervous system responds rapidly to counteract hitherto unfamiliar disturbances by a combination of increased viscoelastic impedance and formation of a crude internal dynamics model.
(Received 12 May 2005;
accepted after revision 15 June 2005;
first published online 16 June 2005)
Corresponding author T.E. Milner: School of Kinesiology, Simon Fraser University, Burnaby, B.C. V5A 1S6, Canada. Email: tmilner{at}sfu.ca
This article has been cited by other articles:
![]() |
X. Liu and R. A. Scheidt Contributions of Online Visual Feedback to the Learning and Generalization of Novel Finger Coordination Patterns J Neurophysiol, May 1, 2008; 99(5): 2546 - 2557. [Abstract] [Full Text] [PDF] |
||||
![]() |
M. R. Hinder and T. E. Milner Rapid Adaptation to Scaled Changes of the Mechanical Environment J Neurophysiol, November 1, 2007; 98(5): 3072 - 3080. [Abstract] [Full Text] [PDF] |
||||
![]() |
D. W. Franklin, G. Liaw, T. E. Milner, R. Osu, E. Burdet, and M. Kawato Endpoint Stiffness of the Arm Is Directionally Tuned to Instability in the Environment J. Neurosci., July 18, 2007; 27(29): 7705 - 7716. [Abstract] [Full Text] [PDF] |
||||
![]() |
T. M. Herter, I. Kurtzer, D. W. Cabel, K. A. Haunts, and S. H. Scott Characterization of Torque-Related Activity in Primary Motor Cortex During a Multijoint Postural Task J Neurophysiol, April 1, 2007; 97(4): 2887 - 2899. [Abstract] [Full Text] [PDF] |
||||
![]() |
E. Tunik, P. J. Schmitt, and S. T. Grafton BOLD Coherence Reveals Segregated Functional Neural Interactions When Adapting to Distinct Torque Perturbations J Neurophysiol, March 1, 2007; 97(3): 2107 - 2120. [Abstract] [Full Text] [PDF] |
||||
![]() |
T. E. Milner and M. R. Hinder Position Information But Not Force Information Is Used in Adapting to Changes in Environmental Dynamics J Neurophysiol, August 1, 2006; 96(2): 526 - 534. [Abstract] [Full Text] [PDF] |
||||
| HOME | HELP | FEEDBACK | SUBSCRIPTIONS | ARCHIVE | SEARCH | TABLE OF CONTENTS |