(Enter summary)
Abstract: Humans demonstrate a remarkable ability to generate accurate and appropriate motor behavior under many different and often uncertain
environmental conditions. In this paper, we propose a modular approach to such motor learning and control. We review the behavioral
evidence and benefits of modularity, and propose a new architecture based on multiple pairs of inverse (controller) and forward (predictor)
models. Within each pair, the inverse and forward models are tightly coupled both during their ... (Update)
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BibTeX entry: (Update)
Wolpert, D. & Kawato, M. (1998). Multiple paired forward and inverse models for motor control. Neural Networks 11, 1317--1329. http://citeseer.ist.psu.edu/wolpert98multiple.html More
@article{ wolpert98multiple,
author = "D. M. Wolpert and M. Kawato",
title = "Multiple paired forward and inverse models for motor control",
journal = "Neural Networks",
volume = "11",
number = "7-8",
pages = "1317--1329",
year = "1998",
url = "citeseer.ist.psu.edu/wolpert98multiple.html" }
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