• DocumentCode
    2437205
  • Title

    Control system analysis of the leech neural control system

  • Author

    Shaffer, Keith ; Zaghloul, M.E.

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., George Washington Univ., Washington, DC, USA
  • Volume
    4
  • fYear
    1994
  • fDate
    27 Jun-2 Jul 1994
  • Firstpage
    2276
  • Abstract
    Presents our approach and achievements toward addressing the limitations of neural networks in control systems. We show that by modeling the neural control system of the leech, using control system techniques, we are able mitigate current limitations and develop neural network paradigms specifically for control systems. We begin by presenting an overview of the leech neural control system which we modeled. We then show that techniques from large-scale control systems provide insight into the architecture and parameters of the leech neural control system. These insights establish a basis for the development of neural control paradigms
  • Keywords
    biocontrol; control system analysis; neurocontrollers; neurophysiology; physiological models; control system analysis; control system parameters; large-scale control systems; leech neural control system; neural architecture; neural network paradigms; Biological control systems; Biological neural networks; Control system analysis; Control system synthesis; Control systems; Medical control systems; Nervous system; Neural networks; Neurons; Shape control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 1994. IEEE World Congress on Computational Intelligence., 1994 IEEE International Conference on
  • Conference_Location
    Orlando, FL
  • Print_ISBN
    0-7803-1901-X
  • Type

    conf

  • DOI
    10.1109/ICNN.1994.374573
  • Filename
    374573