Computational mechanisms of sensorimotor control

Neuron. 2011 Nov 3;72(3):425-42. doi: 10.1016/j.neuron.2011.10.006.


In order to generate skilled and efficient actions, the motor system must find solutions to several problems inherent in sensorimotor control, including nonlinearity, nonstationarity, delays, redundancy, uncertainty, and noise. We review these problems and five computational mechanisms that the brain may use to limit their deleterious effects: optimal feedback control, impedance control, predictive control, Bayesian decision theory, and sensorimotor learning. Together, these computational mechanisms allow skilled and fluent sensorimotor behavior.

Publication types

  • Research Support, Non-U.S. Gov't
  • Review

MeSH terms

  • Adaptation, Physiological
  • Animals
  • Bayes Theorem
  • Brain / physiology*
  • Computer Simulation*
  • Feedback
  • Humans
  • Learning
  • Models, Neurological*
  • Movement / physiology*
  • Nonlinear Dynamics
  • Perception
  • Psychomotor Performance / physiology*