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Micro-Ring-Resonator Based Passive Photonic Spike-Time-Dependent-Plasticity Scheme for Unsupervised Learning in Optical Neural Networks

机译:基于微环谐振器的无源光子尖峰时间依赖可塑性方案在光学神经网络中的无监督学习

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In this work, a photonic spike-time-dependent-plasticity scheme based on high-order passive ring resonators is demonstrated. Numerical simulations confirmed the validity of the approach assuming post and pre-synaptic quantum dot laser neurons.
机译:在这项工作中,演示了基于高阶无源环形谐振器的光子与时间相关的可塑性方案。数值模拟证实了该方法在突触后和突触前量子点激光神经元假设下的有效性。

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