序号 英文标题 作者及机构 中文翻译 出处 链接
1 motorSRNN: A spiking recurrent neural network inspired by brain topology for the effective and efficient decoding of cortical spike trains 作者：Tengjun Liu1,2; Yansong Chua3; Yuxiao Ning1,2; Pengfu Liu1; Yiwei Zhang1,2; Tuoru Li1,2; Guihua Wan1; Zijun Wan1,2; Weidong Chen1,4; Shaomin Zhang1,2
机构：1 Qiushi Academy for Advanced Studies, Zhejiang University, China; 2 College of Biomedical Engineering and Instrument Science, Zhejiang University, China; 3 China Nanhu Academy of Electronics and Information Technology (CNAEIT), China; 4 College of Computer Science and Technology, Zhejiang University, China		 motorSRNN：一种受脑拓扑结构启发的脉冲循环神经网络，用于皮质脉冲序列的高效解码 Biomedical Signal Processing and Control 2025 Vol.99 P106745 链接
2 Radar Emitter Recognition Based on Spiking Neural Networks 作者：Zhenghao Luo1; Xingdong Wang1; Shuo Yuan1; Zhangmeng Liu1
机构：1 College of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, China		 基于脉冲神经网络的雷达辐射源识别 Remote Sensing 2024 Vol.16 No.14 P2680 链接
3 Eye Tracking Based on Event Camera and Spiking Neural Network 作者：Jiang, Yizhoua; Wang, Wenweia; Yu, Leia; He, Chua
机构：a School of Electronic Information, Wuhan University, Wuhan, 430072, China		 基于事件相机与脉冲神经网络的眼动追踪 Electronics (Switzerland) 2024 Vol.13 No.14 链接
4 SNNtrainer3D: Training Spiking Neural Networks Using a User-Friendly Application with 3D Architecture Visualization Capabilities 作者：Sorin Liviu Jurj1; Sina Banasaz Nouri1; Jörg Strutwolf1
机构：1 Institute of Print and Media Technology, Chemnitz University of Technology, Reichenhainer Straße 70, 09126 Chemnitz, Germany		 SNNtrainer3D：使用具备3D架构可视化功能的用户友好型应用训练脉冲神经网络 Applied Sciences 2024 Vol.14 No.13 P5752 链接
5 Advancing energy efficiency of spiking neural network accelerator via dynamic predictive early stopping 作者：Miao, Yijiea; Ikeda, Makotoa
机构：a Dept. of Electrical Engineering and Information Systems, The University of Tokyo, Tokyo, 113-0032, Japan		 基于动态预测提前停止提升脉冲神经网络加速器的能效 IEICE Electronics Express 2024 Vol.21 No.12 链接
6 Simultaneous Velocity and Texture Classification from a Neuromorphic Tactile Sensor Using Spiking Neural Networks 作者：Brayshaw, Georgea,b; Ward-Cherrier, Benjamina; Pearson, Martin J.b
机构：a School of Engineering Mathematics and Technology, University of Bristol, Bristol, BS8 1QU, United Kingdom; b School of Engineering, The University of the West of England, Bristol, BS16 1QY, United Kingdom		 基于脉冲神经网络的神经形态触觉传感器速度与纹理同步分类 Electronics (Switzerland) 2024 Vol.13 No.11 链接
7 Effective Active Learning Method for Spiking Neural Networks 作者：Xiurui Xie1; Bei Yu1; Guisong Liu2,3; Qiugang Zhan1; Huajin Tang4,5
机构：1 School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China; 2 School of Computing and Artificial Intelligence, Southwestern University of Finance and Economics, Chengdu, China; 3 Zhongshan Institute, University of Electronic Science and Technology of China, Zhongshan, China; 4 College of Computer Science and Technology, Zhejiang University, Hangzhou, China; 5 Zhejiang Laboratory, Hangzhou, China		 脉冲神经网络的有效主动学习方法 IEEE Transactions on Neural Networks and Learning Systems 2024 Vol.35 No.9 P12373-12382 链接
8 Estimating orientation in natural scenes: A spiking neural network model of the insect central complex 作者：Rachael Stentiford 1; James C Knight 1; Thomas Nowotny 1; Andrew Philippides 1; Paul Graham 2
机构：1 Department of Informatics, University of Sussex, Brighton, United Kingdom; 2 School of Life Sciences, University of Sussex, Brighton, United Kingdom		 自然场景中方向估计：昆虫中央复合体的脉冲神经网络模型 PLoS computational biology 2024 Vol.20 No.8 e1011913 链接
9 A Novel Electronic Nose Using Biomimetic Spiking Neural Network for Mixed Gas Recognition 作者：Xue, Yingyinga,b,c; Mou, Shimenga; Chen, Changminga,b,c; Yu, Weijiea; Wan, Haoa,c; Zhuang, Liujinga,b,c; Wang, Pinga,b,c
机构：a Biosensor National Special Laboratory, Key Laboratory for Biomedical Engineering of Education Ministry, Department of Biomedical Engineering, Zhejiang University, Hangzhou, 310027, China; b The MOE Frontier Science Center for Brain Science and Brain-Machine Integration, Zhejiang University, Hangzhou, 310027, China; c State Key Lab of Brain-Machine Intelligence, Zhejiang University, Hangzhou, 310027, China		 基于仿生脉冲神经网络的新型电子鼻用于混合气体识别 Chemosensors 2024 Vol.12 No.7 P139 链接
10 Remote sensing image detection method based on brain-inspired spiking neural networks 作者：Duan, Dexina; Lu, Yaob; Huang, Liweib; Liu, Peilina; Wen, Feia
机构：a School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China; b Beijing Institute of Remote Sensing Information, Beijing, 100192, China		 基于脑启发脉冲神经网络的遥感图像检测方法 National Remote Sensing Bulletin 2024 Vol.28 No.7 P1713-1721 链接
11 Research on Spiking Neural Network fine-tuning method for object detection in remote sensing images 作者：Guo, Bailina,c,d; Huang, Liweib; Lu, Yaob; Zhang, Xuetaoa,c,d; Ma, Yongqianga,c,d
机构：a National Key Laboratory of Human-Machine Hybrid Augmented Intelligence, Xi’an, 710049, China; b Beijing Institute of Remote Sensing, Beijing, 100192, China; c National Engineering Research Center for Visual Information and Applications, Xi’an, 710049, China; d Institute of Artificial Intelligence and Robotics, Xi’an Jiaotong University, Xi’an, 710049, China		 用于遥感图像目标检测的脉冲神经网络微调方法研究 National Remote Sensing Bulletin 2024 Vol.28 No.7 P1702-1712 链接
12 Spiking Sequence Label-Based Spatio-Temporal Back-Propagation Algorithm for Training Deep Spiking Neural Networks 作者：Wang, Zihuaa; Ye, Yinga,d; Liu, Hongyunb,c; Xu, Yana; Fan, Yuboa; Wang, Weidonga,b,c
机构：a School of Biological and Medical Engineering, Beihang University, Beijing, 100191, China; b Research Center for Biomedical Engineering, Medical Innovation & Research Division, Chinese PLA General Hospital, Beijing, 100853, China; c Key Laboratory of Biomedical Engineering and Translational Medicine, Ministry of Industry and Information Technology, Beijing, 100853, China; d North China Institute of Computing Technology, Beijing, 100083, China		 基于脉冲序列标签的时空反向传播算法用于深度脉冲神经网络训练 Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology 2024 Vol.46 No.6 P2596-2604 链接
13 Spiking neural networks for biomedical signal analysis 作者：Choi, Sang Hoa
机构：a School of Computer and Information Engineering, Kwangwoon University, Seoul, 01897, South Korea		 用于生物医学信号分析的脉冲神经网络 Biomedical Engineering Letters 2024 Vol.14 No.5 P955-966 链接
14 Spiking neural networks for physiological and speech signals: a review 作者：Park, Sung Sooa; Choi, Young-Seoka
机构：a Department of Electronics and Communications Engineering, Kwangwoon University, Seoul, 01897, South Korea		 用于生理信号与语音信号的脉冲神经网络：综述 Biomedical Engineering Letters 2024 Vol.14 No.5 P943-954 链接
15 Snn and sound: a comprehensive review of spiking neural networks in sound 作者：Baek, Suwhana,b; Lee, Jaewonc
机构：a AI R & D Laboratory, Posco-Holdings, Cheongam-ro, Gyeongsangbuk-do, Pohang-si, 37673, South Korea; b Department of Computer Science, Kwangwoon University, Gwangun-ro, Nowon-gu, Seoul, 01899, South Korea; c Department of Psychology, Seoul National University, Gwanak-ro, Gwanak-gu, Seoul, 08826, South Korea		 脉冲神经网络与声音：脉冲神经网络在声音领域的综合综述 Biomedical Engineering Letters 2024 Vol.14 No.5 P981-991 链接
16 Review on spiking neural network-based ECG classification methods for low-power environments 作者：Choi, Hansola; Park, Jangsooa; Lee, Jongseoka; Sim, Donggyua
机构：a Department of Computer Engineering, Kwangwoon University, Seoul, South Korea		 低功耗环境下基于脉冲神经网络的心电图分类方法综述 Biomedical Engineering Letters 2024 Vol.14 No.5 P917-941 链接
17 Exploring the potential of spiking neural networks in biomedical applications: advantages, limitations, and future perspectives 作者：Kim, Eunsua; Kim, Youngmina
机构：a School of Electronic and Electrical engineering, Hongik University, Seoul, 04066, South Korea		 探索脉冲神经网络在生物医学应用中的潜力：优势、局限与未来展望 Biomedical Engineering Letters 2024 Vol.14 No.5 P967-980 链接
18 Understanding the functional roles of modelling components in spiking neural networks 作者：Huifeng Yin1; Hanle Zheng1; Jiayi Mao1; Siyuan Ding2; Xing Liu3; Mingkun Xu4; Yifan Hu1; Jing Pei1; Lei Deng1*
机构：1 Center for Brain Inspired Computing Research (CBICR), Department of Precision Instrument, Tsinghua University, Beijing, People’s Republic of China; 2 Weiyang College, Tsinghua University, Beijing, People’s Republic of China; 3 College of Electronic Information and Automation, Tianjin University of Science and Technology, Tianjin, People’s Republic of China; 4 Guangdong Institute of Intelligence Science and Technology, Zhuhai, People’s Republic of China		 理解脉冲神经网络中建模组件的功能作用 Neuromorphic Computing and Engineering 2024 Vol.4 No.3 P034009 链接
19 HPO Based Enhanced Elman Spike Neural Network for Detecting Speech of People with Dysarthria 作者：Pranav Kumara; Ahmad, Md. Talibb; Kumari, Ranjanac
机构：a Department of CSE, Government Engineering College, Bihar, Arwal, India; b Department of CSE, Katihar Engineering College, Bihar, Hajipur, India; c Department of EEE, Katihar Engineering College, Bihar, Hajipur, India		 基于超参数优化的增强型Elman脉冲神经网络用于构音障碍患者语音检测 Optical Memory and Neural Networks (Information Optics) 2024 Vol.33 No.2 P205-220 链接
20 Burst dynamics of a spiking neural network caused by the activity of the extracellular matrix of the brain; [Пачечная динамика спайковой нейронной сети, вызванная активностью внеклеточного матрикса мозга] 作者：Stasenko, Sergey V.a
机构：a Lobachevsky State University of Nizhny Novgorod, 23 Gagarin Ave., Nizhny Novgorod, 603022, Russian Federation		 由脑胞外基质活性引起的脉冲神经网络爆发动力学 Izvestiya of Saratov University. Physics 2024 Vol.24 No.2 P138-149 链接
21 Slow ramping emerges from spontaneous fluctuations in spiking neural networks 作者：Jake Gavenas 1 2 3; Ueli Rutishauser 4 5 6 7; Aaron Schurger 8 9 10 11; Uri Maoz 12 13 14 15 16 17
机构：1 Institute for Interdisciplinary Brain and Behavioral Sciences, Chapman University, Orange, CA, USA; 2 Schmid College of Science and Technology, Chapman University, Orange, CA, USA; 3 Department of Neurosurgery, Cedars-Sinai Medical Center, Los Angeles, CA, USA; 4 Department of Neurosurgery, Cedars-Sinai Medical Center, Los Angeles, CA, USA; 5 Department of Neurology, Cedars-Sinai Medical Center, Los Angeles, CA, USA; 6 Center for Neural Science and Medicine, Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA; 7 Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA; 8 Institute for Interdisciplinary Brain and Behavioral Sciences, Chapman University, Orange, CA, USA; 9 Crean College of Health and Behavioral Sciences, Chapman University, Orange, CA, USA; 10 INSERM U992, Cognitive Neuroimaging Unit, NeuroSpin Center, Gif sur Yvette, 91191, France; 11 Commissariat à l’Energie Atomique, Direction des Sciences du Vivant, I2BM, NeuroSpin Center, Gif sur Yvette, 91191, France; 12 Institute for Interdisciplinary Brain and Behavioral Sciences, Chapman University, Orange, CA, USA; 13 Schmid College of Science and Technology, Chapman University, Orange, CA, USA; 14 Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA; 15 Crean College of Health and Behavioral Sciences, Chapman University, Orange, CA, USA; 16 Fowler School of Engineering, Chapman University, Orange, CA, USA; 17 Anderson School of Management, University of California, Los Angeles, CA, USA		 脉冲神经网络中的自发波动产生缓慢上升过程 Nature communications 2024 Vol.15 No.1 P7285 链接
22 Spiking neural network with blockchain for tampered image detection using forensic steganography images 作者：Basavanyappa, Gurumurthy Shikaripuraa; Danti, Ajit
机构：a Department of Computer Science and Engineering, CHRIST (Deemed to be University), Bangalore, India		 结合区块链的脉冲神经网络用于基于法医隐写图像的篡改图像检测 Indonesian Journal of Electrical Engineering and Computer Science 2024 Vol.36 No.1 P477-485 链接
23 Parallel hyperparameter optimization of spiking neural networks 作者：Thomas Firmin1; Pierre Boulet1; El-Ghazali Talbi1
机构：1 CNRS, Inria, Centrale Lille, UMR 9189 CRIStAL, Univ. Lille, Lille, F-59000, France		 脉冲神经网络的并行超参数优化 Neurocomputing 2024 Vol.609 P128483 链接
24 A reconfigurable FPGA-based spiking neural network accelerator 作者：Mingqi Yin1; Xiaole Cui1; Feng Wei1; Hanqing Liu1; Yuanyuan Jiang2; Xiaoxin Cui2
机构：1 Key Laboratory of Integrated Microsystems, Peking University Shenzhen Graduate School, Shenzhen, 518055, China; 2 School of Integrated Circuits, Peking University, Beijing, 100871, China		 一种基于可重构FPGA的脉冲神经网络加速器 Microelectronics Journal 2024 Vol.152 P106377 链接
25 Spike-to-excite: photosensitive seizures in biologically-realistic spiking neural networks 作者：Luke Taylor; Melissa Claire Maaike Fasol
机构：未明确标注		 脉冲激发：生物逼真脉冲神经网络中的光敏性癫痫发作 2024 链接
26 Overcoming the Limitations of Layer Synchronization in Spiking Neural Networks 作者：Roel Koopman; Amirreza Yousefzadeh; Mahyar Shahsavari; Guangzhi Tang; Manolis Sifalakis
机构：未明确标注		 克服脉冲神经网络中层同步的局限 2024 链接
27 Towards Efficient Formal Verification of Spiking Neural Network 作者：Baekryun Seong; Jieung Kim; Sang-Ki Ko
机构：未明确标注		 迈向脉冲神经网络的高效形式化验证 2024 链接
28 Adaptive Spiking Neural Networks with Hybrid Coding 作者：Huaxu He
机构：未明确标注		 基于混合编码的自适应脉冲神经网络 2024 链接
29 On the Solvability of the {XOR} Problem by Spiking Neural Networks 作者：Bernhard A. Moser; Michael Lunglmayr
机构：未明确标注		 脉冲神经网络解决异或（XOR）问题的可解性研究 2024 链接
30 The Role of Temporal Hierarchy in Spiking Neural Networks 作者：Filippo Moro; Pau Vilimelis Aceituno; Laura Kriener; Melika Payvand
机构：未明确标注		 时间层级在脉冲神经网络中的作用 2024 链接
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