Computational motor control in humans and robots

Curr Opin Neurobiol. 2005 Dec;15(6):675-82. doi: 10.1016/j.conb.2005.10.009. Epub 2005 Nov 3.

Abstract

Computational models can provide useful guidance in the design of behavioral and neurophysiological experiments and in the interpretation of complex, high dimensional biological data. Because many problems faced by the primate brain in the control of movement have parallels in robotic motor control, models and algorithms from robotics research provide useful inspiration, baseline performance, and sometimes direct analogs for neuroscience.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't
  • Research Support, U.S. Gov't, Non-P.H.S.
  • Review

MeSH terms

  • Algorithms
  • Animals
  • Bayes Theorem
  • Brain / physiology
  • Computers*
  • Humans
  • Learning / physiology
  • Models, Neurological*
  • Movement / physiology*
  • Robotics*
  • Stochastic Processes