检索结果-南通市图书馆

Science China(Information Sciences) 2014年第1期57卷 280-290页

作者： JIANG Ning PAN Wei LUO Bin YAN LianShan xiang shuiying Center for Information Photonics and Communications School of Information Science and TechnologySouthwest Jiaotong University

A simultaneous unidirectional and bidirectional chaos-based optical communication scheme based on a hybrid coupling semiconductor laser system that consists of one center semiconductor laser(CSL)and multiple side semiconductor lasers(SSLs)is proposed *** this scheme,the SSLs oriented in a linear chain mutually couple with the adjacent SSLs and they are subjected to identical unidirectional injections from the CSL which is a chaotic external cavity semiconductor *** theoretically analyze the conditions for diferent types of chaos synchronization based on the symmetry operation mechanism and injection-locking mechanism,and numerically investigate the influences of operation parameters,parameter mismatch robustness,chaos pass filtering efects and communication performance of the hybrid coupling semiconductor laser *** simulation results demonstrate that with proper selection of the unidirectional and mutual coupling conditions,the SSLs can synchronize with each other isochronally and simultaneously synchronize to the CSL completely or laggardly,which enables the proposed system to achieve a unidirectional broadcasting communication from the CSL to the SSLs and a bidirectional communication among the SSLs *** proposed scheme is beneficial to the implementation of optical chaos communication networks.

关键词： semiconductor laser optical communication chaos synchronization chaos communication net-works hybrid coupling

Nonlinear neural computation in an integrated FP-SA spiking neuron subject to incoherent dual-wavelength optical pulse injections

在线全文

同方期刊数据库

学校读者我要写书评

暂无评论

Science China(Information Sciences) 2023年第12期66卷 299-300页

作者： Ziwei SONG shuiying xiang Xingxing GUO Shuang GAO Biling GU Dianzhuang ZHENG xiangfei CHEN Yuechun SHI State Key Laboratory of Integrated Service Networks State Key Discipline Laboratory of Wide Bandgap Semiconductor TechnologyXidian University 2. Yongjiang Laboratory Key Laboratory of Intelligent Optical Sensing and Manipulation Ministry of EducationNational Laboratory of Solid State MicrostructuresCollege of Engineering and Applied SciencesInstitute of Optical Communication EngineeringNanjing University

Photonic nonlinear computation is the critical cornerstone of photonic neuromorphic computing. As one of the key information function units in the photonic spiking neural networks, the photonic spiking neurons are responsible for the nonlinear computation of the network. Recently, the neuron-like nonlinear computation of the photonic spiking neuron has attracted considerable attention.

关键词：

Generation of multi-channel chaotic signals with time delay signature concealment and ultrafast photonic decision making based on a globally-coupled semiconductor laser network

在线全文

同方期刊数据库

学校读者我要写书评

暂无评论

Photonics Research 2020年第11期8卷 1792-1799页

作者： Yanan Han shuiying xiang Yang Wang Yuanting Ma Bo Wang Aijun Wen Yue Hao State Key Laboratory of Integrated Service Networks Xidian UniversityXi'an 710071China State Key Discipline Laboratory of Wide Band Gap Semiconductor Technology School of MicroelectronicsXidian UniversityXi'an 710071China

We propose and demonstrate experimentally and numerically a network of three globally coupled semiconductor lasers(SLs)that generate triple-channel chaotic signals with time delayed signature(TDS)*** effects of the coupling strength and bias current on the concealment of the TDS are *** generated chaotic signals are further applied to reinforcement learning,and a parallel scheme is proposed to solve the multiarmed bandit(MAB)*** influences of mutual correlation between signals from different channels,the sampling interval of signals,and the TDS concealment on the performance of decision making are *** between the proposed scheme and two existing schemes show that,with a simplified algorithm,the proposed scheme can perform as well as the previous schemes or even ***,we also consider the robustness of decision making performance against a dynamically changing environment and verify the scalability for MAB problems with different *** proposed globally coupled SL network for a multi-channel chaotic source is simple in structure and easy to *** attempt to solve the MAB problem in parallel can provide potential values in the realm of the application of ultrafast photonics intelligence.

关键词： network channel chaotic

Spiking information processing in a single photonic spiking neuron chip with double integrated electronic dendrites

在线全文

学校读者我要写书评

暂无评论

Photonics Research 2023年第12期11卷 2033-2041页

作者： YAHUI ZHANG shuiying xiang XINGXING GUO YANAN HAN YUECHUN SHI xiangFEI CHEN GENQUAN HAN YUE HAO State Key Laboratory of Integrated Service Networks Xidian UniversityXi’an 710071China State Key Discipline Laboratory of Wide Bandgap Semiconductor Technology Xidian UniversityXi’an 710071China Yongjiang Laboratory Ningbo 315202China Key Laboratory of Intelligent Optical Sensing and Manipulation Ministry of EducationNational Laboratory of Solid State MicrostructuresCollege of Engineering and Applied SciencesInstitute of Optical Communication EngineeringNanjing UniversityNanjing 210023China

Dendrites,branches of neurons that transmit signals between synapses and soma,play a vital role in spiking information processing,such as nonlinear integration of excitatory and inhibitory ***,the investigation of nonlinear integration of dendrites in photonic neurons and the fabrication of photonic neurons including dendritic nonlinear integration in photonic spiking neural networks(SNNs)remain open ***,we fabricate and integrate two dendrites and one soma in a single Fabry–Perot laser with an embedded saturable absorber(FP-SA)neuron to achieve nonlinear integration of excitatory and inhibitory *** that the two intrinsic electrodes of the gain section and saturable absorber(SA)section in the FP-SA neuron are defined as two dendrites for two ports of stimuli reception,with one electronic dendrite receiving excitatory stimulus and the other receiving inhibitory *** stimuli received by two electronic dendrites are integrated non-linearly in a single FP-SA neuron,which generates spikes for photonic *** properties of frequency encoding and spatiotemporal encoding are investigated experimentally in a single FP-SA neuron with two electronic *** SNNs equipped with FP-SA neurons,the range of weights between presynaptic neurons and postsynaptic neurons is varied from negative to positive values by biasing the gain and SA sections of FP-SA *** with SNN with all-positive weights realized by only biasing the gain section of photonic neurons,the recognition accuracy of Iris flower data is improved numerically in SNN consisting of FP-SA *** results show great potential for multi-functional integrated photonic SNN chips.

关键词： electronic absorber weights

Experimental demonstration of pyramidal neuron-like dynamics dominated by dendritic action potentials based on a VCSEL for all-optical XOR classification task

在线全文

学校读者我要写书评

暂无评论

Photonics Research 2021年第6期9卷 1055-1061页

作者： YAHUI ZHANG shuiying xiang XINGYU CAO SHIHAO ZHAO XINGXING GUO AIJUN WEN YUE HAO State Key Laboratory of Integrated Service Networks Xidian UniversityXi’an 710071China State Key Discipline Laboratory of Wide Bandgap Semiconductor Technology School of MicroelectronicsXidian UniversityXi’an 710071China

We experimentally and numerically demonstrate an approach to optically reproduce a pyramidal neuron-like dynamics dominated by dendritic Ca^(2+) action potentials(dCaAPs)based on a vertical-cavity surface-emitting laser(VCSEL)for the first *** biological pyramidal neural dynamics dominated by dCaAPs indicates that the dendritic electrode evoked somatic spikes with current near threshold but failed to evoke(or evoked less)somatic spikes for higher current *** emulating neuron-like dynamics is performed optically based on the injection locking,spiking dynamics,and damped oscillations in the optically injected *** addition,the exclusive OR(XOR)classification task is examined in the VCSEL neuron equipped with the pyramidal neuronlike dynamics dominated by ***,a single spike or multiple periodic spikes are suggested to express the result of the XOR classification task for enhancing the processing rate or *** experimental and numerical results show that the XOR classification task is achieved successfully in the VCSEL neuron enabled to mimic the pyramidal neuron-like dynamics dominated by *** work reveals valuable pyramidal neuron-like dynamics in a VCSEL and offers a novel approach to solve XOR classification task with a fast and simple all-optical spiking neural network,and hence shows great potentials for future photonic spiking neural networks and photonic neuromorphic computing.

关键词： optical dynamics action

Photonic integrated neuro-synaptic core for convolutional spiking neural network

在线全文

学校读者我要写书评

暂无评论

Opto-Electronic Advances 2023年第11期6卷 29-42页

作者： shuiying xiang Yuechun Shi Yahui Zhang Xingxing Guo Ling Zheng Yanan Han Yuna Zhang Ziwei Song Dianzhuang Zheng Tao Zhang Hailing Wang Xiaojun Zhu xiangfei Chen Min Qiu Yichen Shen Wanhua Zheng Yue Hao State Key Laboratory of Integrated Service Networks State Key Discipline Laboratory of Wide Bandgap Semiconductor TechnologyXidian UniversityXi’an 710071China Yongjiang Laboratory No.1792 Cihai South RoadNingbo 315202China The School of Communications and Information Engineering Xi’an University of Posts and TelecommunicationsXi’an 710121China Laboratory of Solid-State Optoelectronics Information Technology Institute of SemiconductorsChinese Academy of SciencesBeijing 100083China School of Information Science and Technology Nantong UniversityNantong 226019China The College of Engineering and Applied Sciences Nanjing UniversityNanjing 210023China Key Laboratory of 3D Micro/Nano Fabrication and Characterization of Zhejiang Province School of EngineeringWestlake UniversityHangzhou 310024China Lightelligence Group Hangzhou 311121China

Neuromorphic photonic computing has emerged as a competitive computing paradigm to overcome the bottlenecks of the von-Neumann *** weighting and nonlinear spike activation are two fundamental functions of a photonic spiking neural network(PSNN).However,they are separately implemented with different photonic materials and devices,hindering the large-scale integration of ***,we propose,fabricate and experimentally demonstrate a photonic neuro-synaptic chip enabling the simultaneous implementation of linear weighting and nonlinear spike activation based on a distributed feedback(DFB)laser with a saturable absorber(DFB-SA).A prototypical system is experimentally constructed to demonstrate the parallel weighted function and nonlinear spike ***,a fourchannel DFB-SA laser array is fabricated for realizing matrix convolution of a spiking convolutional neural network,achieving a recognition accuracy of 87%for the MNIST *** fabricated neuro-synaptic chip offers a fundamental building block to construct the large-scale integrated PSNN chip.

关键词： neuromorphic computation photonic spiking neuron photonic integrated DFB-SA array convolutional spiking neural network

Experimental demonstration of coherent photonic neural computing based on a Fabry–Perot laser with a saturable absorber

在线全文

学校读者我要写书评

暂无评论

Photonics Research 2023年第1期11卷 65-71页

作者： DIANZHUANG ZHENG shuiying xiang XINGXING GUO YAHUI ZHANG BILING GU HONGJI WANG ZHENZHEN XU XIAOJUN ZHU YUECHUN SHI YUE HAO State Key Laboratory of Integrated Service Networks Xidian UniversityXi'an 710071China State Key Discipline Laboratory of Wide Band Gap Semiconductor Technology School of MicroelectronicsXidian UniversityXi'an 710071China Key Laboratory of Intelligent Optical Sensing and Manipulation Ministry of EducationNational Laboratory of Solid State MicrostructuresCollege of Engineering and Applied SciencesInstitute of Optical Communication EngineeringNanjing UniversityNanjing 210023China School of Information Science and Technology Nantong UniversityNantong 226019China Yongjiang Laboratory Ningbo 315202China

As Moore’s law has reached its limits,it is becoming increasingly difficult for traditional computing architectures to meet the demands of continued growth in computing *** neural computing has become a promising approach to overcome the von Neuman ***,while photonic neural networks are good at linear computing,it is difficult to achieve nonlinear ***,we propose and experimentally demonstrate a coherent photonic spiking neural network consisting of Mach–Zehnder modulators(MZMs)as the synapse and an integrated quantum-well Fabry–Perot laser with a saturable absorber(FP-SA)as the photonic spiking *** linear computation and nonlinear computation are realized in the *** such a coherent architecture,two presynaptic signals are modulated and weighted with two intensity modulation MZMs through the same optical *** nonlinear neuron-like dynamics including temporal integration,threshold,and refractory period are successfully ***,the effects of frequency detuning on the nonlinear neuron-like dynamics are also explored,and the frequency detuning condition is *** proposed hardware architecture plays a foundational role in constructing a large-scale coherent photonic spiking neural network.

关键词： tuning laser neural

Photonic integrated spiking neuron chip based on a self-pulsating DFB laser with a saturable absorber

在线全文

学校读者我要写书评

暂无评论

光子学研究:英文版 2023年第8期11卷 1382-1389页

作者： YUECHUN SHI shuiying xiang XINGXING GUO YAHUI ZHANG HONGJI WANG DIANZHUANG ZHENG YUNA ZHANG YANAN HAN YONG ZHAO XIAOJUN ZHU xiangFEI CHEN XUN LI YUE HAO Yongjiang Laboratory Ningbo 315202China State Key Laboratory of Integrated Service Networks State Key Discipline Laboratory of Wide Bandgap Semiconductor TechnologyXidian UniversityXi’an 710071China Key Laboratory of Intelligent Optical Sensing and Manipulation Ministry of EducationNational Laboratory of Solid State MicrostructuresCollege of Engineering and Applied SciencesInstitute of Optical Communication EngineeringNanjing UniversityNanjing 210023China School of Science Jiangnan UniversityWuxi 214122China School of Information Science and Technology Nantong UniversityNantong 226019China Department of Electrical and Computer Engineering McMaster UniversityHamiltonOantario L8S 4K1Canada

We proposed and experimentally demonstrated a simple and novel photonic spiking neuron based on a distributed feedback(DFB)laser chip with an intracavity saturable absorber(SA).The DFB laser with an intracavity SA(DFBSA)contains a gain region and an SA *** gain region is designed and fabricated by the asymmetric equivalentπ-phase shift based on the reconstruction-equivalent-chirp *** properly injected current in the gain region and reversely biased voltage in the SA region,periodic self-pulsation was experimentally observed due to the Q-switching *** self-pulsation frequency increases with the increase of the bias current and is within the range of several *** the bias current is below the self-pulsation threshold,neuronlike spiking responses appear when external optical stimulus pulses are *** results show that the spike threshold,temporal integration,and refractory period can all be observed in the fabricated DFB-SA *** numerically verify the experimental findings,a time-dependent coupled-wave equation model was developed,which described the physics processes inside the gain and SA *** numerical results agree well with the experimental *** further experimentally demonstrated that the weighted sum output can readily be encoded into the self-pulsation frequency of the DFB-SA *** also benchmarked the handwritten digit classification task with a simple single-layer fully connected neural *** using the experimentally measured dependence of the self-pulsation frequency on the bias current in the gain region as an activation function,we can achieve a recognition accuracy of 92.2%,which bridges the gap between the continuous valued artificial neural networks and spike-based neuromorphic *** the best of our knowledge,this is the first experimental demonstration of a photonic integrated spiking neuron based on a DFB-SA,which shows great potential to realizing large-scale mult

关键词： technique laser saturable

基于VCSEL的光储备池计算实验研究(特邀)

在线全文

学校读者我要写书评

暂无评论

光子学报 2021年第10期50卷 47-56页

作者：郭星星项水英张雅慧郝跃西安电子科技大学综合业务网理论及关键技术国家重点实验室西安710071

结合时延储备池计算和垂直腔面发射激光器,基于现有的光纤光学平台,对以1550 nm波段垂直腔面发射激光器为非线性节点的时延光储备池计算系统进行了实验研究。结果表明,在该实验系统中可以分别成功地实现单个Santa-Fe混沌时间序列预测任... 详细信息

结合时延储备池计算和垂直腔面发射激光器,基于现有的光纤光学平台,对以1550 nm波段垂直腔面发射激光器为非线性节点的时延光储备池计算系统进行了实验研究。结果表明,在该实验系统中可以分别成功地实现单个Santa-Fe混沌时间序列预测任务以及单个非线性信道均衡任务。基于垂直腔面发射激光器在特定参数条件下能实现双模共存,进一步在该系统中垂直腔面发射激光器的两个偏振模式中同时注入外部信号,成功地完成了Santa-Fe混沌时间序列预测和非线性信道均衡任务的并行处理,但是整体性能要弱于单任务处理性能;除此之外,并行任务的性能随着外光注入强度的增加而得到改善,其中注入强度比率大的一方性能更好。

关键词：计算光学非线性光学储备池计算垂直腔面发射激光器神经形态计算时延系统信息处理混沌时间序列预测非线性信道均衡

Pattern recognition in multi-synaptic photonic spiking neural networks based on a DFB-SA chip

在线全文

学校读者我要写书评

暂无评论

Opto-Electronic Science 2023年第9期2卷 1-10页

作者： Yanan Han shuiying xiang Ziwei Song Shuang Gao Xingxing Guo Yahui Zhang Yuechun Shi xiangfei Chen Yue Hao State Key Laboratory of Integrated Service Networks State Key Discipline Laboratory of Wide Bandgap Semiconductor TechnologyXidian UniversityXi’an 710071China Yongjiang Laboratory Ningbo 315202China Key Laboratory of Intelligent Optical Sensing and Manipulation Ministry of Educationthe National Laboratory of Solid State Microstructuresthe College of Engineering and Applied SciencesInstitute of Optical Communication EngineeringNanjing UniversityNanjing 210023China

Spiking neural networks(SNNs)utilize brain-like spatiotemporal spike encoding for simulating brain *** SNN offers an ultrahigh speed and power efficiency platform for implementing high-performance neuromorphic ***,we proposed a multi-synaptic photonic SNN,combining the modified remote supervised learning with delayweight co-training to achieve pattern *** impact of multi-synaptic connections and the robustness of the network were investigated through numerical *** addition,the collaborative computing of algorithm and hardware was demonstrated based on a fabricated integrated distributed feedback laser with a saturable absorber(DFB-SA),where 10 different noisy digital patterns were successfully classified.A functional photonic SNN that far exceeds the scale limit of hardware integration was achieved based on time-division multiplexing,demonstrating the capability of hardware-algorithm co-computation.

关键词： photonic spiking neural network fabricated DFB-SA laser chip multi-synaptic connection optical computing