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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Vydáno v:	Nature neuroscience Ročník 3; číslo S11; s. 1212 - 1217
Hlavní autoři:	Wolpert, Daniel M., Ghahramani, Zoubin
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	United States Nature Publishing Group 01.11.2000
Témata:	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
On-line přístup:	Získat plný text
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Popis
Shrnutí:	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.
Bibliografie:	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 ObjectType-Article-2 ObjectType-Feature-1 ObjectType-Review-3 content type line 23
ISSN:	1097-6256 1546-1726
DOI:	10.1038/81497