Imperial College London
Alternate

ProfessorEtienneBurdet

Faculty of Engineering, Department of Bioengineering

Professor of Human Robotics
 
 
 
//

Contact

 

e.burdet Website

 
 
//

Location

 

419BSir Michael Uren HubWhite City Campus

//

Summary

 

Publications

Citation

BibTex format

@article{Franklin:2007:10.1371/journal.pone.0001336.,
author = {Franklin, DW and So, U and Burdet, E and Kawato, M},
doi = {10.1371/journal.pone.0001336.},
journal = {PLOS One},
title = {Visual Feedback is not necessary for the Learning of Novel Dynamics},
url = {http://dx.doi.org/10.1371/journal.pone.0001336.},
volume = {2},
year = {2007}
}
Download

RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Background. When learning to perform a novel sensorimotor task, humans integrate multi-modal sensory feedback such asvision and proprioception in order to make the appropriate adjustments to successfully complete the task. Sensory feedback isused both during movement to control and correct the current movement, and to update the feed-forward motor commandfor subsequent movements. Previous work has shown that adaptation to stable dynamics is possible without visual feedback.However, it is not clear to what degree visual information during movement contributes to this learning or whether it isessential to the development of an internal model or impedance controller. Methodology/Principle Findings. We examinedthe effects of the removal of visual feedback during movement on the learning of both stable and unstable dynamics incomparison with the case when both vision and proprioception are available. Subjects were able to learn to make smoothmovements in both types of novel dynamics after learning with or without visual feedback. By examining the endpointstiffness and force after learning it could be shown that subjects adapted to both types of dynamics in the same way whetherthey were provided with visual feedback of their trajectory or not. The main effects of visual feedback were to increase thesuccess rate of movements, slightly straighten the path, and significantly reduce variability near the end of the movement.Conclusions/Significance. These findings suggest that visual feedback of the hand during movement is not necessary for theadaptation to either stable or unstable novel dynamics. Instead vision appears to be used to fine-tune corrections of handtrajectory at the end of reaching movements.
AU  - Franklin,DW
AU  - So,U
AU  - Burdet,E
AU  - Kawato,M
DO  - 10.1371/journal.pone.0001336.
PY  - 2007///
SN  - 1932-6203
TI  - Visual Feedback is not necessary for the Learning of Novel Dynamics
T2  - PLOS One
UR  - http://dx.doi.org/10.1371/journal.pone.0001336.
UR  - http://hdl.handle.net/10044/1/30686
VL  - 2
ER  -
Download