Computational motor control in humans and robots.

Curr Opin Neurobiol

Computer Science, Neuroscience & Biokinesiology and Physical Therapy, University of Southern California, 3641 Watt Way, Los Angeles, CA 90089, USA.

Published: December 2005

AI Article Synopsis

  • Computational models help design and interpret behavioral and neurophysiological experiments by managing complex biological data.
  • Many challenges in controlling movement that the primate brain faces are similar to those in robotic motor control.
  • Robotics research offers valuable insights, benchmarks, and sometimes direct parallels that can be applied to neuroscience.

Article 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.

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Source
http://dx.doi.org/10.1016/j.conb.2005.10.009DOI Listing

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