Computational principles of movement neuroscience

Unifying principles of movement have emerged from the computational study of motor control. We review several of these principles and show how they apply to processes such as motor planning, control, estimation, prediction and learning. Our goal is to demonstrate how specific models emerging from th...

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Veröffentlicht in:Nature neuroscience Jg. 3; H. S11; S. 1212 - 1217
Hauptverfasser: Wolpert, Daniel M., Ghahramani, Zoubin
Format: Journal Article
Sprache:Englisch
Veröffentlicht: United States Nature Publishing Group 01.11.2000
Schlagworte:
Animals
Central nervous system
Central Nervous System - cytology
Central Nervous System - physiology
Computational neuroscience
Feedback
Feedback - physiology
Humans
Learning - physiology
Methods
Models, Neurological
Movement - physiology
Nerve Net - physiology
Neurons - cytology
Neurons - physiology
Neurosciences
Physics
Physiological aspects
Principles
Psychomotor Performance - physiology
Sensation - physiology
United Kingdom
ISSN:1097-6256, 1546-1726
Online-Zugang:Volltext
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Zusammenfassung:Unifying principles of movement have emerged from the computational study of motor control. We review several of these principles and show how they apply to processes such as motor planning, control, estimation, prediction and learning. Our goal is to demonstrate how specific models emerging from the computational approach provide a theoretical framework for movement neuroscience.
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ISSN:1097-6256
1546-1726
DOI:10.1038/81497