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Review
Nature Neuroscience  3, 1212 - 1217 (2000)
doi:10.1038/81497

Computational principles of movement neuroscience

Daniel M. Wolpert1 & Zoubin Ghahramani2

1  Sobell Department of Neurophysiology, Institute of Neurology, Queen Square, University College London, London WC1N 3BG, UK

2  Gatsby Computational Neuroscience Unit, Queen Square, University College London, London WC1N 3AR, UK

Correspondence should be addressed to Daniel M. Wolpert wolpert@hera.ucl.ac.uk
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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Nature Neuroscience
ISSN: 1097-6256
EISSN: 1546-1726
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