• DocumentCode
    2227487
  • Title

    Reaction-diffusion CNN chip. II. Applications

  • Author

    Arena, P. ; Branciforte, M. ; Di Bernardo, G. ; Lavorgna, M. ; Occhipinti, L.

  • Author_Institution
    DEES, Catania Univ., Italy
  • Volume
    3
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    427
  • Abstract
    For pt. I, see ISCAS 2000 - IEEE International Symposium on Circuits and Systems, May 28-31, 2000, Geneva, Switzerland. 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 re-configured to reproduce a variety of complex phenomena
  • Keywords
    VLSI; cellular neural nets; neural chips; reaction-diffusion systems; STMicroelectronics; complex dynamic phenomena; multiactuated systems; reaction-diffusion CNN chip; two-layer CNN architecture; Animals; Biology computing; Cellular neural networks; Leg; Legged locomotion; Neurons; Nonlinear equations; Partial differential equations; Robot kinematics; Servomotors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 2000. Proceedings. ISCAS 2000 Geneva. The 2000 IEEE International Symposium on
  • Conference_Location
    Geneva
  • Print_ISBN
    0-7803-5482-6
  • Type

    conf

  • DOI
    10.1109/ISCAS.2000.856088
  • Filename
    856088