Literature DB >> 8580736

Learning a new visuomotor transformation: error correction and generalization.

A Roby-Brami1, Y Burnod.   

Abstract

The use of an aiming tool requires learning a new transformation between visual and proprioceptive information and motor command. We have examined this question by quantifying the kinematics of the movement during the transitory phase of adaptation to a rotational bias (60 degrees counterclockwise, then clockwise) added to a standard mouse-cursor device in the plane of the screen. Control-aiming movements were almost linear with a bell-shaped velocity profile. The bias induced an equivalent initial directional error which was usually corrected within 20 trials. The learning trajectories were combinations of spirals and fast or slow straight movements. The posture of the hand was slightly (less than 10 degrees) modified by the bias. These features suggest three corrective processes: on-line continuous correction based on evaluation of the relative cursor-to-target position, discrete correction based on assessment of the discrepancy angle between the cursor-to-target direction and the effective cursor direction, and memorization of trial-to-trial correction. These results are interpreted in the light of neurophysiological data and neural net modeling, which suggest that the visuomotor transformation performed by cortical areas for reaching is effected by projecting the visual information on a reference frame that rotates with the arm. The initial directional error reappeared when the direction of the target was changed and increased with degree of change. The limited generalization suggests that bias correction is stored in relation to the coding of the target direction and that movement towards a new direction is computed as a projection of the previously learned bias on the new visual direction.

Entities:  

Mesh:

Year:  1995        PMID: 8580736     DOI: 10.1016/0926-6410(95)90014-4

Source DB:  PubMed          Journal:  Brain Res Cogn Brain Res        ISSN: 0926-6410


  20 in total

1.  Learning of visuomotor transformations for vectorial planning of reaching trajectories.

Authors:  J W Krakauer; Z M Pine; M F Ghilardi; C Ghez
Journal:  J Neurosci       Date:  2000-12-01       Impact factor: 6.167

2.  Visuomotor adaptation in normal aging.

Authors:  Ethan R Buch; Sereniti Young; José L Contreras-Vidal
Journal:  Learn Mem       Date:  2003 Jan-Feb       Impact factor: 2.460

3.  Effects of Parkinson's disease on visuomotor adaptation.

Authors:  José L Contreras-Vidal; Ethan R Buch
Journal:  Exp Brain Res       Date:  2003-03-13       Impact factor: 1.972

4.  Beside the point: motor adaptation without feedback-based error correction in task-irrelevant conditions.

Authors:  Sydney Y Schaefer; Iris L Shelly; Kurt A Thoroughman
Journal:  J Neurophysiol       Date:  2011-12-07       Impact factor: 2.714

5.  Interference between adaptation to double steps and adaptation to rotated feedback in spite of differences in directional selectivity.

Authors:  Gerd Schmitz
Journal:  Exp Brain Res       Date:  2016-01-28       Impact factor: 1.972

6.  A dissociation between visual and motor workspace inhibits generalization of visuomotor adaptation across the limbs.

Authors:  Jinsung Wang
Journal:  Exp Brain Res       Date:  2008-04-25       Impact factor: 1.972

7.  Adaptation to rotated visual feedback depends on the number and spread of target directions.

Authors:  Otmar Bock; Gerd Schmitz
Journal:  Exp Brain Res       Date:  2011-01-30       Impact factor: 1.972

8.  Parkinson's disease differentially affects adaptation to gradual as compared to sudden visuomotor distortions.

Authors:  Anusha Venkatakrishnan; Jean P Banquet; Yves Burnod; José L Contreras-vidal
Journal:  Hum Mov Sci       Date:  2011-03-16       Impact factor: 2.161

9.  Crossmodal interference in bimanual movements: effects of abrupt visuo-motor perturbation of one hand on the other.

Authors:  Florian A Kagerer
Journal:  Exp Brain Res       Date:  2014-12-06       Impact factor: 1.972

10.  A theory for how sensorimotor skills are learned and retained in noisy and nonstationary neural circuits.

Authors:  Robert Ajemian; Alessandro D'Ausilio; Helene Moorman; Emilio Bizzi
Journal:  Proc Natl Acad Sci U S A       Date:  2013-12-09       Impact factor: 11.205

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