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作 者:龙洪亮 沈微宏 SCHOENHARDT Steffen 张启明 LONG Hongliang;SHEN Weihong;SCHOENHARDT Steffen;ZHANG Qiming(Institute of Photonic Chips,University of Shanghai for Science and Technology,Shanghai 200093,China;School of Optical-Electrical and Computer Engineering,University of Shanghai for Science and Technology,Shanghai 200093,China)
机构地区:[1]上海理工大学光子芯片研究院,上海200093 [2]上海理工大学光电信息与计算机工程学院,上海200093
出 处:《光学仪器》2024年第3期45-50,共6页Optical Instruments
基 金:上海张江国家自主创新示范区专项发展资金重大项目(ZJ2019–ZD–005)。
摘 要:采用尖峰神经元对神经形态计算进行并行处理,可以克服数字计算机的一些局限性,从而提高计算速度、计算性能和能量效率,实现更高效、更智能和更自适应的计算。超快克尔效应在光子神经形态计算中具有重要的意义和应用。利用改进的归一化耦合模理论(coupled mode theory,CMT)模型,对钙钛矿材料的光学微谐振腔中由超快克尔效应引起的非线性动力学特征进行了计算和分析,观察到自脉动行为;模拟并实现了光学神经元的兴奋性行为、泄露积分动力学和不应期现象。钙钛矿材料具有超快的克尔响应时间,可以将神经元的不应期控制在皮秒量级,为实现快速的脉冲神经网络提供了新思路。Neuromorphic computing uses spike neurons for parallel processing,which can overcome limitations of digital computers,thereby improving computing speed,performance,and energy efficiency to achieve more efficient,intelligent,and adaptive computing.The ultrafast Kerr effect has important significance and application in neuromorphic computing.An improved coupled mode theory(CMT)model was employed to analyzed the nonlinear dynamics behaviors in a microresonator based on the ultra-fast Kerr response of perovskite materials.Self-pulsation behavior was observed in the optical cavity.Based on this property,the excitation,leaky integrating dynamics and refractory time of optical neurons were simulated and implemented.Because of the ultra-fast Kerr response of the perovskite material,the refractory time of the optical neuron can be reduced to the order of picoseconds,which paves the way for ultra-fast spiking neural networks.
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