尖峰神经网络
谐振器
计算机科学
人工神经网络
光子学
脉搏(音乐)
非线性系统
生物神经网络
光开关
光学
拓扑(电路)
物理
电信
人工智能
数学
探测器
量子力学
组合数学
机器学习
作者
Jin Wen,Hui Zhang,Zhengwei Wu,Qian Wang,Huimin Yu,Wei Sun,Bozhi Liang,Chenyao He,Keyu Xiong,Yu Pan,Ying Zhang,Zhanzhi Liu
出处
期刊:Applied Optics
[The Optical Society]
日期:2023-06-20
卷期号:62 (20): 5459-5459
被引量:7
摘要
In this paper, we proposed an all-optical version of photonic spiking neurons and spike-time-dependent plasticity (STDP) based on the nonlinear optical effects within a micro-ring resonator. In this system, the self-pulsing effect was exploited to implement threshold control, and the equivalent pulse energy required for spiking, calculated by multiplying the input pulse power amplitude with its duration, was about 14.1 pJ. The positive performance of the neurons in the excitability and cascadability tests validated the feasibility of this scheme. Furthermore, two simulations were performed to demonstrate that such an all-optical spiking neural network incorporated with STDP could run stably on a stochastic topology. The essence of such an all-optical spiking neural network is a nonlinear spiking dynamical system that combines the advantages of photonics and spiking neural networks (SNNs), promising access to the high speed and lower consumption inherent to optical systems.
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