• Study On Optical Communications
  • Vol. 49, Issue 1, 17 (2023)
Te KE, Ying ZHU*, Chu-yu PENG, Xiao HU, and Xi XIAO
Author Affiliations
  • State Key Laboratory of Optical Communication Technologies and Networks, China Information Communication Technologies Group Corporation, Wuhan 430074, China
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    DOI: 10.13756/j.gtxyj.2023.01.002 Cite this Article
    Te KE, Ying ZHU, Chu-yu PENG, Xiao HU, Xi XIAO. Research History and Prospect of Photonic Spiking Neural Networks[J]. Study On Optical Communications, 2023, 49(1): 17 Copy Citation Text show less
    Spiking neuron model
    Fig. 1. Spiking neuron model
    Experimental setup of photonic LIF neuron based on SOA[44]
    Fig. 2. Experimental setup of photonic LIF neuron based on SOA[44]
    Schematic of the symmetric photonic neuron with excitatory and inhibitory inputs[44]
    Fig. 3. Schematic of the symmetric photonic neuron with excitatory and inhibitory inputs[44]
    Schematic diagram of photonic STDP based on SOA[45]
    Fig. 4. Schematic diagram of photonic STDP based on SOA[45]
    Implementation mechanism of photonic STDP based on SOA[45]
    Fig. 5. Implementation mechanism of photonic STDP based on SOA[45]
    Implementation of an asynchronous spiking photonics neuron based on EAM[47]
    Fig. 6. Implementation of an asynchronous spiking photonics neuron based on EAM[47]
    Implementation of photonic STDP based on SOA and EAM[48]
    Fig. 7. Implementation of photonic STDP based on SOA and EAM[48]
    Implementation of LIF neuron based on DFB-SA[49-50]
    Fig. 8. Implementation of LIF neuron based on DFB-SA[49-50]
    Implementation of photonic STDP based on DFB-LD[52]
    Fig. 9. Implementation of photonic STDP based on DFB-LD[52]
    Implementation of graphene excitable laser[53-54]
    Fig. 10. Implementation of graphene excitable laser[53-54]
    Temporal pattern recognition implemented by LIF neuron based on graphene excitable laser[54]
    Fig. 11. Temporal pattern recognition implemented by LIF neuron based on graphene excitable laser[54]
    Self-recurrent bistable circuit implemented by LIF neuron based on graphene excitable laser[54]
    Fig. 12. Self-recurrent bistable circuit implemented by LIF neuron based on graphene excitable laser[54]
    Implementation of graphene excitable laser with excitatory and inhibitory inputs[55]
    Fig. 13. Implementation of graphene excitable laser with excitatory and inhibitory inputs[55]
    A schematic diagram of VCSEL-SA[56]
    Fig. 14. A schematic diagram of VCSEL-SA[56]
    Photonic SNN for unsupervised arbitrary pulse pattern recognition based on VCSELs and VCSOAs[59]
    Fig. 15. Photonic SNN for unsupervised arbitrary pulse pattern recognition based on VCSELs and VCSOAs[59]
    Schematic diagram of photonic SNN for supervised learning classification task based on VCSELs-SA and VCSOAs[60]
    Fig. 16. Schematic diagram of photonic SNN for supervised learning classification task based on VCSELs-SA and VCSOAs[60]
    Photonic spiking neuron based on microring resonator embedded with GST[81]
    Fig. 17. Photonic spiking neuron based on microring resonator embedded with GST[81]
    All-optical spiking neuron network based on PCM and microring resonators[82]
    Fig. 18. All-optical spiking neuron network based on PCM and microring resonators[82]
    Perspective view of the hybrid graphene-on-silicon microring coupled with a silicon bus waveguide[83]
    Fig. 19. Perspective view of the hybrid graphene-on-silicon microring coupled with a silicon bus waveguide[83]
    Photonic spiking neuron based on add-drop microring resonators[84]
    Fig. 20. Photonic spiking neuron based on add-drop microring resonators[84]
    激光器平台单脉冲能量/pJ脉冲发放速率/GHz注入方式泵浦面积
    DFB激光器[66]InP50.0~2>600 μm×200 μm
    GSA激光器[54]InGaAsP-C-Si75.04相干光40 μm2
    VCSEL[67-68]分立器件0.41相干光40 000 μm2
    Table 1. Parameters of photonic spiking neuron based on lasers
    微环谐振器种类平台单脉冲能量/pJ脉冲发放速率/GHz面积/μm2
    硅基微环谐振器[85]Si6.00.005100
    集成石墨烯硅基微环谐振器[83]Si0.740.000100
    Table 2. Parameters of photonic spiking neuron based on lasers microring resonators
    Te KE, Ying ZHU, Chu-yu PENG, Xiao HU, Xi XIAO. Research History and Prospect of Photonic Spiking Neural Networks[J]. Study On Optical Communications, 2023, 49(1): 17
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