• DocumentCode
    402931
  • Title

    Study on dynamic characteristics of brain information processing

  • Author

    Lu-Zheng Bi ; Wu, Ping-dong ; Chen, Zhi-long ; Hu, Pei-cheng ; Hiros, Tamai

  • Author_Institution
    Mechatronics Center, Beijing Inst. of Technol., China
  • Volume
    1
  • fYear
    2003
  • fDate
    2-5 Nov. 2003
  • Firstpage
    566
  • Abstract
    The paper puts forward a measuring analysis approach to studying macroscopic movement form of brain information processing. This approach doesn´t research the information processing from nerve cells. It only researches the macroscopic movement form of brain information processing while the subjects make some simple logical judgments continuously in a special period according to some special instructions, researches the dynamic characteristics of movement and individual dynamic characteristics of movement, and researches the relation between the dynamic characteristics of brain information processing and the characteristics of human behavior. Because the behavior characteristics are controlled by the characteristics of brain information processing, the result of this research may be used to evaluate the ability and character of human. In engineering, it has academic instructional meaning to researching and developing the humanoid machine or all kinds of operation and control system that need human-machine matching.
  • Keywords
    brain; man-machine systems; medical control systems; academic instructional meaning; brain information processing; control system; human behavior; human-machine matching; humanoid machine; macroscopic movement; measuring analysis approach; movement characteristics; nerve cells; simple logical judgments; Brain modeling; Control systems; Decision making; Humans; Information analysis; Information processing; Mathematical model; Mathematics; Paper technology; Process control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2003 International Conference on
  • Print_ISBN
    0-7803-8131-9
  • Type

    conf

  • DOI
    10.1109/ICMLC.2003.1264542
  • Filename
    1264542