• DocumentCode
    335166
  • Title

    Real neural networks in movement control

  • Author

    Robinson, David A.

  • Author_Institution
    Dept. of Biomed. Eng. & Ophthalmology, Johns Hopkins Univ., Baltimore, MD, USA
  • Volume
    1
  • fYear
    1994
  • fDate
    29 June-1 July 1994
  • Firstpage
    84
  • Abstract
    Biological control systems use neurons and muscles. Most use thousands of neurons and dozens of muscles and we despair of understanding them in any reductionist sense. There do exist, however, a few neural circuits that we "more-or-less" understand. One is the vestibulo-ocular reflex that stabilizes our eyes in space by compensating for head movements. Investigation soon reveals the existence of a neural network that integrates velocity commands (coded in neural firing rate) to produce eye-position commands. Thus we converge on the problem of how a group of neurons can connect themselves up to perform integration in the sense of Newtonian calculus. This paper reviews current research on this specific, if rare, example of how the brain processes signals.
  • Keywords
    biocontrol; biomechanics; brain; eye; muscle; neural nets; neurophysiology; physiological models; biological control systems; eye-position commands; movement control; muscles; neural circuits; neurons; velocity commands; vestibulo-ocular reflex; Biological neural networks; Circuits; Eyes; Head; Intelligent networks; Irrigation; Muscles; Neural networks; Neurons; Signal processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, 1994
  • Print_ISBN
    0-7803-1783-1
  • Type

    conf

  • DOI
    10.1109/ACC.1994.751699
  • Filename
    751699