• DocumentCode
    3118763
  • Title

    A photonic neuromorphic computational primitive for complex high bandwidth signal processing

  • Author

    Rosenbluth, David ; Olivieri, Marc ; Kravtsov, Konstantin ; Fok, Mable P. ; Prucnal, PAul R.

  • Author_Institution
    Adv. Technol. Lab., Lockheed Martin, Cherry Hill, NJ, USA
  • fYear
    2010
  • fDate
    21-23 Sept. 2010
  • Firstpage
    49
  • Lastpage
    50
  • Abstract
    The spike processing device is a full all-optical realization of the integrate-and-fire neuron model. While the fastest timescale on which biological spiking neurons operate is on the order of milliseconds, the experimentally demonstrated integrate-and-fire device operates on pico-second width pulses, and has an integration time constant of 180 ps, tunable in the range from 100 to 300 ps. Reconfiguration of device parameters enables it to perform a wide variety of signal processing and decision operations. An example of decisionmaking based on the number of input pulses is studied experimentally by changing the threshold value of the neuron. Its analog properties make it suited to efficient signal processing applications, while its digital properties make it possible to implement complex computations without excessive noise accumulation.
  • Keywords
    neural nets; signal processing; biological spiking neuron; full all-optical realization; integrate-and-fire device; integrate-and-fire neuron model; photonic neuromorphic computational primitive; signal processing; spike processing device; time 100 ps to 300 ps; Bandwidth; Neurons; Noise; Optical fibers; Optical signal processing; Performance evaluation; Photonics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Avionics Fiber-Optics and Photonics Technology Conference (AVFOP), 2010 IEEE
  • Conference_Location
    Denver, CO
  • Print_ISBN
    978-1-4244-5312-2
  • Electronic_ISBN
    978-1-4244-5313-9
  • Type

    conf

  • DOI
    10.1109/AVFOP.2010.5637456
  • Filename
    5637456