• DocumentCode
    2064099
  • Title

    Modeling sensory motor control

  • Author

    Alexander, John R., Jr.

  • Author_Institution
    Comput. & Inf. Sci. Dept., Towson, MD, USA
  • fYear
    2003
  • fDate
    23-25 June 2003
  • Firstpage
    51
  • Lastpage
    54
  • Abstract
    Daniel Gardner in The Neurobiology of Neural Networks (1993) calls for a more neuromorphic generation of artificial neural networks. He states in his preface: "For neural network modelers, especially those without a background in the life sciences, the book critically examines aspects of network models that are likely to be both computationally significant and comparable to our current view of real neurons and synapses and the networks they form." Succinctly stated in its preface is Gardner\´s thesis: "It is a series of variations on a single theme: that both artificial neural networks and neurobiology will benefit by a partial synthesis of their disparate natures". The October/November 1998 issue of Neural Networks, entitled "Neural Control and Robotics: Biology and Technology", reflected Gardner\´s view. Further, Randall Beer\´s (1990) book contains a description of spiking neurons, designed for the purpose of control rather than of memory. Artificial neural circuits, created to act as controllers rather than as memories, are the theme of all of the above mentioned works. It is with the above in mind that the author is implementing two models which will offer the chance of studying neural control mechanisms.
  • Keywords
    intelligent control; neurocontrollers; artificial neural network; life science; neural control; neural network model; neurobiology; neuromorphic generation; neuron; partial synthesis; sensory motor control modeling; synapsis; Artificial neural networks; Biological control systems; Books; Circuit synthesis; Computer networks; Motor drives; Network synthesis; Neuromorphics; Neurons; Robot control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Soft Computing in Industrial Applications, 2003. SMCia/03. Proceedings of the 2003 IEEE International Workshop on
  • Print_ISBN
    0-7803-7855-5
  • Type

    conf

  • DOI
    10.1109/SMCIA.2003.1231343
  • Filename
    1231343