A Predictive Switching Model of Cerebellar Movement Control
Abstract
We present a hypothesis about how the cerebellum could partici(cid:173) pate in regulating movement in the presence of significant feedback delays without resorting to a forward model of the motor plant. We show how a simplified cerebellar model can learn to control end(cid:173) point positioning of a nonlinear spring-mass system with realistic delays in both afferent and efferent pathways. The model's opera(cid:173) tion involves prediction, but instead of predicting sensory input, it directly regulates movement by reacting in an anticipatory fashion to input patterns that include delayed sensory feedback.
Cite
Text
Barto and Houk. "A Predictive Switching Model of Cerebellar Movement Control." Neural Information Processing Systems, 1995.Markdown
[Barto and Houk. "A Predictive Switching Model of Cerebellar Movement Control." Neural Information Processing Systems, 1995.](https://mlanthology.org/neurips/1995/barto1995neurips-predictive/)BibTeX
@inproceedings{barto1995neurips-predictive,
title = {{A Predictive Switching Model of Cerebellar Movement Control}},
author = {Barto, Andrew G. and Houk, James C.},
booktitle = {Neural Information Processing Systems},
year = {1995},
pages = {138-144},
url = {https://mlanthology.org/neurips/1995/barto1995neurips-predictive/}
}