• DocumentCode
    2724861
  • Title

    Reaction-diffusion CNN design for a new class of biologically-inspired processors in artificial locomotion applications

  • Author

    Branciforte, M. ; Di Bernardo, G. ; Doddo, F. ; Occhipinti, L.

  • Author_Institution
    STMicroelectron., Catania, Italy
  • fYear
    1999
  • fDate
    1999
  • Firstpage
    69
  • Lastpage
    76
  • Abstract
    The problem of artificial locomotion is known to represent a difficult task when coping with multiactuated systems controlled by one (central) or more (distributed) digital processors. Nevertheless, the studies carried out from biologists revealed that the underlying mechanism in natural locomotion can be revisited in terms of complex dynamic phenomena such as the generation and propagation of autowaves in active media. The paper describes the work carried out in the laboratories of STMicroelectronics with the aim of generating, “on-the-silicon”, the same dynamics found in nature. It will be shown how a 2-layer CNN architecture, so-called Reaction-Diffusion CNN (RD-CNN), can be effective in this task, and how it can be programmed and reconfigured to reproduce a variety of complex phenomena
  • Keywords
    VLSI; cellular neural nets; microrobots; mobile robots; neural chips; nonlinear differential equations; partial differential equations; STMicroelectronics; active media; artificial locomotion applications; autowaves; biologically-inspired processors; complex dynamic phenomena; multiactuated systems; reaction-diffusion CNN design; two-layer CNN architecture; Animals; Cellular neural networks; Centralized control; Control systems; Extraterrestrial phenomena; Lab-on-a-chip; Laboratories; Neurons; Partial differential equations; Spatiotemporal phenomena;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Microelectronics for Neural, Fuzzy and Bio-Inspired Systems, 1999. MicroNeuro '99. Proceedings of the Seventh International Conference on
  • Conference_Location
    Granada
  • Print_ISBN
    0-7695-0043-9
  • Type

    conf

  • DOI
    10.1109/MN.1999.758848
  • Filename
    758848