Computational principles of movement neuroscience

@article{Wolpert2000ComputationalPO,
  title={Computational principles of movement neuroscience},
  author={Daniel M. Wolpert and Zoubin Ghahramani},
  journal={Nature Neuroscience},
  year={2000},
  volume={3 Suppl 1},
  pages={1212-1217}
}
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. 
Computational approaches to motor control
Motor Control: Models
The term ‘motor control’ refers to the ability of biological and artificial systems to plan, initiate, maintain, monitor, and correct movements to attain physically realizable goals. A ‘model’ is a
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