• DocumentCode
    3295625
  • Title

    Photonic neurons for terahertz pulse processing

  • Author

    Fok, M.P. ; Rosenbluth, D. ; Kravtsov, K. ; Prucnal, P.R.

  • Author_Institution
    Princeton Univ., Princeton, NJ, USA
  • fYear
    2010
  • fDate
    24-27 Oct. 2010
  • Firstpage
    188
  • Lastpage
    189
  • Abstract
    We developed a hybrid analog/digital computational primitive that elegantly implements the functionality of an integrate and-fire neuron using a Ge-doped non-linear optical fiber and off-the-shelf semiconductor devices. Spike processing devices for optical computational system have the potential to be scalable, computationally powerful, and have high operation bandwidth. They open up a range of optical processing applications for which electronic processing is too slow. In this paper, we demonstrate the feasibility of implementing simple photonic neuromorphic circuits, including the auditory localization algorithm of the barn owl, which is useful for LIDAR localization, and the crayfish tail-flip escape response.
  • Keywords
    germanium; optical communication equipment; semiconductor optical amplifiers; Ge; LIDAR localization; analog-digital computational primitive; auditory localization algorithm; barn owl; crayfish tail-flip escape response; integrate-and-fire neuron; nonlinear optical fiber; off-the-shelf semiconductor device; optical computational system; optical processing application; photonic neuromorphic circuit; photonic neuron; spike processing device; terahertz pulse processing; Gedoped nonlinear fiber; Lightwave neuromorphic signal processing; Optical neural systems; Semiconductor optical amplifier;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Optical Communications and Networks (ICOCN 2010), 9th International Conference on
  • Conference_Location
    Nanjing
  • Type

    conf

  • DOI
    10.1049/cp.2010.1181
  • Filename
    5778443