• Laser Journal
  • Vol. 45, Issue 8, 110 (2024)
XUE Limei1,2, WEI Yanlong1,2, YANG Luxia1,2, YIN Guimei1,2..., MA Huifang2,3 and HAN Bingchen2,3,*|Show fewer author(s)
Author Affiliations
  • 1Department of Computer Science and Technology, Taiyuan Normal University, Jinzhong Shanxi 030600, China
  • 2Shanxi Key Laboratory for Intelligent Optimization Computing and Blockchain Technology, Jinzhong Shanxi 030600, China
  • 3Department of Physics, Taiyuan Normal University, Jinzhong Shanxi 030600, China
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    DOI: 10.14016/j.cnki.jgzz.2024.08.110 Cite this Article
    XUE Limei, WEI Yanlong, YANG Luxia, YIN Guimei, MA Huifang, HAN Bingchen. Research of the photon pulse LIF neurons based on SOA[J]. Laser Journal, 2024, 45(8): 110 Copy Citation Text show less

    Abstract

    Compared with the traditional artificial neural network, pulse neural network has the advantages of hardware-friendliness and low energy consumption. Compared with the electric pulse neural network, the photon pulse neural network has the advantages of high speed, low energy consumption, large transmission capacity and strong anti-electromagnetic interference ability. Based on the semiconductor optical amplifier (SOA), a new neuron model of photon pulse—LIF (leakage integration and fire) model is designed in this paper, and the application of LIF model in digital logic is explored. The “XOR” logic function based on the model is realized, and an excitatory and inhibitory neuron is improved, LIF model, XOR logic and good output of excitatory and inhibitory neurons were obtained by optical communication simulation software.
    XUE Limei, WEI Yanlong, YANG Luxia, YIN Guimei, MA Huifang, HAN Bingchen. Research of the photon pulse LIF neurons based on SOA[J]. Laser Journal, 2024, 45(8): 110
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