Computational Elements of the Adaptive Controller of the Human Arm
Abstract
We consider the problem of how the CNS learns to control dynam(cid:173) ics of a mechanical system. By using a paradigm where a subject's hand interacts with a virtual mechanical environment, we show that learning control is via composition of a model of the imposed dynamics. Some properties of the computational elements with which the CNS composes this model are inferred through the gen(cid:173) eralization capabilities of the subject outside the training data.
Cite
Text
Shadmehr and Mussa-Ivaldi. "Computational Elements of the Adaptive Controller of the Human Arm." Neural Information Processing Systems, 1993.Markdown
[Shadmehr and Mussa-Ivaldi. "Computational Elements of the Adaptive Controller of the Human Arm." Neural Information Processing Systems, 1993.](https://mlanthology.org/neurips/1993/shadmehr1993neurips-computational/)BibTeX
@inproceedings{shadmehr1993neurips-computational,
title = {{Computational Elements of the Adaptive Controller of the Human Arm}},
author = {Shadmehr, Reza and Mussa-Ivaldi, Ferdinando A.},
booktitle = {Neural Information Processing Systems},
year = {1993},
pages = {1077-1084},
url = {https://mlanthology.org/neurips/1993/shadmehr1993neurips-computational/}
}