Forward Dynamic Models in Human Motor Control: Psychophysical Evidence
Abstract
Based on computational principles, with as yet no direct experi(cid:173) mental validation, it has been proposed that the central nervous system (CNS) uses an internal model to simulate the dynamic be(cid:173) havior of the motor system in planning, control and learning (Sut(cid:173) ton and Barto, 1981; Ito, 1984; Kawato et aI., 1987; Jordan and Rumelhart, 1992; Miall et aI., 1993). We present experimental re(cid:173) sults and simulations based on a novel approach that investigates the temporal propagation of errors in the sensorimotor integration process. Our results provide direct support for the existence of an internal model.
Cite
Text
Wolpert et al. "Forward Dynamic Models in Human Motor Control: Psychophysical Evidence." Neural Information Processing Systems, 1994.Markdown
[Wolpert et al. "Forward Dynamic Models in Human Motor Control: Psychophysical Evidence." Neural Information Processing Systems, 1994.](https://mlanthology.org/neurips/1994/wolpert1994neurips-forward/)BibTeX
@inproceedings{wolpert1994neurips-forward,
title = {{Forward Dynamic Models in Human Motor Control: Psychophysical Evidence}},
author = {Wolpert, Daniel M. and Ghahramani, Zoubin and Jordan, Michael I.},
booktitle = {Neural Information Processing Systems},
year = {1994},
pages = {43-50},
url = {https://mlanthology.org/neurips/1994/wolpert1994neurips-forward/}
}