• DocumentCode
    2366620
  • Title

    Brain-based devices: intelligent systems based on principles of the nervous system

  • Author

    Krichmar, Jeffrey L. ; Edelman, Gerald M.

  • Author_Institution
    Neurosciences Inst., San Diego, CA, USA
  • Volume
    1
  • fYear
    2003
  • fDate
    27-31 Oct. 2003
  • Firstpage
    940
  • Abstract
    Our group has constructed a series of brain-based devices (BBDs); i.e. physical devices with simulated nervous systems that guide behavior, to serve as a heuristic for understanding brain function. Unlike conventional robots designed by engineering principles, BBDs are based on biological principles and alter their behavior to the environment through self-learning. The resulting systems autonomously generalize signals from the environment into perceptual categories and through adaptive behavior become increasingly successful in coping with the environment. Although the principal focus of developing BBDs has been to test theories of the nervous system, this approach may also provide a basis for robotic design and practical applications.
  • Keywords
    intelligent robots; mobile robots; neurophysiology; unsupervised learning; adaptive behavior; biological principles; brain-based devices; intelligent systems; nervous system; robotic design; self-learning; Biological system modeling; Brain modeling; Computational modeling; Design engineering; Intelligent robots; Intelligent systems; Large-scale systems; Nervous system; Neurons; Signal design;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Robots and Systems, 2003. (IROS 2003). Proceedings. 2003 IEEE/RSJ International Conference on
  • Print_ISBN
    0-7803-7860-1
  • Type

    conf

  • DOI
    10.1109/IROS.2003.1250749
  • Filename
    1250749