• Chinese Journal of Lasers
  • Vol. 44, Issue 4, 406003 (2017)
Song Xiaojia1、*, Wang Zhi1, Li Qiang1, Sun Chonghui1, Le Yansi1, Cui Can1, Wu Chongqing1, and Lin Biao2
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    DOI: 10.3788/cjl201744.0406003 Cite this Article Set citation alerts
    Song Xiaojia, Wang Zhi, Li Qiang, Sun Chonghui, Le Yansi, Cui Can, Wu Chongqing, Lin Biao. Development of Weighting Device for Photon Spiking Neuron[J]. Chinese Journal of Lasers, 2017, 44(4): 406003 Copy Citation Text show less

    Abstract

    Photon spiking neurons are connected by weighting devices, so the implementation of weighting devices is critical for realizing the large-scale computation of neural networks. Based on the variable optical attenuator (VOA), a weighting device for automatically adjusting photon spiking neuron is developed. The weighting device includes VOA, photoelectric detector, single chip, analog to digital converter, digital to analog converter, amplification module, etc. The weighting device can quickly calculate and look up table, and the attenuation values of VOA can be adjusted online based on the received optical signal. The weighting device has the advantages of high efficiency and easy implementation. When we combine the optical spike-timing-dependent plasticity (STDP) circuits and the proposed weighting device, STDP learning mechanisms for photon spiking neural can be achieved. The weighting device is detected when the height of STDP curve window is 0.2, and four STDP learning curves are obtained. The experimental results are consistent with the theoretical computation results.
    Song Xiaojia, Wang Zhi, Li Qiang, Sun Chonghui, Le Yansi, Cui Can, Wu Chongqing, Lin Biao. Development of Weighting Device for Photon Spiking Neuron[J]. Chinese Journal of Lasers, 2017, 44(4): 406003
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