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文献阅读笔记：脉冲神经网络最新文献合集-IV

news 2025/9/12 7:50:13
序号英文标题作者及机构中文翻译出处链接
1Water Management Prediction using Deep Convolutional Spiking Neural Network Optimized with Red Fox Optimization Algorithm Based on IoTV. Sushmitha Vadone1,2;Sibi Shaji1 & Meenakshi Sundaram3
1School of Computational Sciences and Information Technology, Garden City University, Bangalore, India;2Department of Computer Science and Engineering, NHCE, Bangalore, India		基于物联网的红狐优化算法优化深度卷积脉冲神经网络水资源管理预测Sensing and Imaging 2025 Vol.26 No.1链接
2A Memristive Spiking Neural Network Circuit for Bio-Inspired Navigation Based on Spatial Cognitive MechanismsZhanfei Chen1;Xiaoping Wang1;Zilu Wang2;Chao Yang1,3;Tingwen Huang4;Jingang Lai1;Zhigang Zeng1
1School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China		基于空间认知机制的生物启发式导航忆阻脉冲神经网络电路IEEE Transactions on Biomedical Circuits and Systems 2025 Vol.19 No.3 P686-698链接
3Modeling of Spiking Neural Network With Optimal Hidden Layer via Spatiotemporal Orthogonal Encoding for Patterns RecognitionZenan Huang1;Yinghui Chang2;Weikang Wu2;Chenhui Zhao1;Hongyan Luo1;Shan He1;Donghui Guo3
1Department of Microelectronics and Integrated Circuits, School of Electronic Science and Engineering, Xiamen University, Xiamen, China		基于时空正交编码的模式识别最优隐层脉冲神经网络建模IEEE Transactions on Emerging Topics in Computational Intelligence 2025 Vol.9 No.3 P2194-2207链接
4S3Det: a fast object detector for remote sensing images based on artificial to spiking neural network conversionLi Chen (陈立) 1;Fan Zhang (张帆) 1;Guangwei Xie (谢光伟)2;Yanzhao Gao (高彦钊)1;Xiaofeng Qi (祁晓峰)1 & …Mingqian Sun (孙明乾)3
1National Digital Switching System Engineering & Technological R&D Center, Zhengzhou, China		基于人工神经网络到脉冲神经网络转换的遥感图像快速目标检测器S3DetFrontiers of Information Technology & Electronic Engineering 2025 Vol.26 No.5 P713-727链接
5A Distributed Time-of-Flight Sensor System for Autonomous Vehicles: Architecture, Sensor Fusion, and Spiking Neural Network PerceptionEdgars Lielamurs1,*;Ibrahim Sayed1;Andrejs Cvetkovs1;Rihards Novickis1;Anatolijs Zencovs1;Maksis Celitans1;Andis Bizuns1;George Dimitrakopoulos2;Jochen Koszescha2 and Kaspars Ozols1
1 Institute of Electronics and Computer Science, Riga, Latvia		用于自动驾驶车辆的分布式飞行时间传感器系统：架构、传感器融合与脉冲神经网络感知Electronics 2025 Vol.14 No.7 P1375链接
6Batchnorm-Free Binarized Deep Spiking Neural Network for a Lightweight Machine Learning ModelHasna Nur Karimah1,2;Chankyu Lee3 and Yeongkyo Seo1,2,*
1 Department of Electrical and Computer Engineering, Inha University, Incheon, Republic of Korea		用于轻量级机器学习模型的无批量归一化二值化深度脉冲神经网络Electronics 2025 Vol.14 No.8 P1602链接
7First demonstration of leaky-integrate and fire neuron based GAA nanosheet FET with ultra-low energy consumption down to 0.8fJ/spike for spiking neural network applicationsMadhu Kanche;Dannayak Venkata Sai Adwaith;Pavan Sai V;Venkata Ramakrishna Kotha;Sresta Valasa;Sunitha Bhukya;Shubham Tayal;Narender Malishetty;Narendar Vadthiya基于漏积分触发神经元的GAA纳米片场效应晶体管在脉冲神经网络中的超低能耗应用（0.8fJ/脉冲）首次演示Physica Scripta 2025 Vol.100 No.6 P065528链接
8Random heterogeneous spiking neural network for adversarial defenseJihang Wang1,2,3,4,5;Dongcheng Zhao1,3,4,6,5;Chengcheng Du1,7,3,4;Xiang He1,2,3,4;Qian Zhang1,2,3,4,6;Yi Zeng1,2,7,8,3,4,6,9
1Brain-inspired Cognitive AI Lab, Institute of Automation, Chinese Academy of Sciences, Beijing, China		用于对抗防御的随机异构脉冲神经网络iScience 2025 Vol.28 No.6 P112660链接
9Hardware Implementation of Speech Recognition in Noise-Resilient Photonic Spiking Neural Network With Rate-CodingYanan Han1,2;Shuiying Xiang1,3;Zhiquan Huang1;Tao Zou1;Yuna Zhang1;Dianzhuang Zheng1;Yiheng Li1;Yizhi Wang1;Yahui Zhang1;Xingxing Guo1;Yue Hao3
1State Key Laboratory of Integrated Service Networks, Xidian University, Xi’an, China		基于速率编码的抗噪声光子脉冲神经网络语音识别硬件实现Journal of Lightwave Technology 2025 Vol.43 No.12 P5789-5796链接
10From hippocampal neurons to broad spiking neural networksYaodong Wang1;Yiping Zuo1;Dan Chen1;Weiping Tu1;Albert Y. Zomaya2;Xiaoli Li3
1National Engineering Research Center for Multimedia Software, School of Computer Science, Wuhan University, Wuhan 430072, China		从海马神经元到广义脉冲神经网络Neurocomputing 2025 Vol.647 P130547链接
11Path-following control using spiking neural networks associative mapsJavier Pérez Fernández1;Manuel Alcázar Vargas1;Juan A?6?3Cabrera Carrillo1;Juan J?6?3Castillo Aguilar1;Barys Shyrokau2
1University of Málaga, Spain		基于脉冲神经网络联想映射的路径跟踪控制Robotics and Autonomous Systems 2025 Vol.193 P105077链接
12Wearable Epilepsy Seizure Detection on FPGA with Spiking Neural NetworksPaola Busia1;Gianluca Leone1;Andrea Matticola1;Luigi Raffo1;Paolo Meloni1
1DIEE, University of Cagliari, Cagliari, Italy		基于FPGA的脉冲神经网络可穿戴癫痫发作检测系统IEEE Transactions on Biomedical Circuits and Systems 2025 P1-11链接
13Xception Spiking Fractional Neural Network for Oral Squamous Cell Carcinoma Classification Based on Histopathological ImagesSingaraju Ramya1;R.I. Minu1;K.T. Magesh2
1Department of Computing Technologies, School of Computing, SRM Institute of Science and Technology, Kattankulathur, Chennai, India		基于组织病理图像的Xception脉冲分数神经网络用于口腔鳞状细胞癌分类IEEE Access 2025 P1链接
14Spiking Neural Networks with Random Network ArchitectureZihan Dai;Huanfei Ma随机网络架构的脉冲神经网络2025链接
15Time to Spike? Understanding the Representational Power of Spiking Neural Networks in Discrete TimeDuc Anh Nguyen;Ernesto Araya;Adalbert Fono;Gitta Kutyniok何时发放脉冲？理解离散时间下脉冲神经网络的表示能力2025链接
16Convolutional Spiking Neural Network for Image ClassificationMikhail Kiselev;Andrey Lavrentyev用于图像分类的卷积脉冲神经网络2025链接
17Adversarially Robust Spiking Neural Networks with Sparse ConnectivityMathias Schmolli;Maximilian Baronig;Robert Legenstein具有稀疏连接的对抗鲁棒脉冲神经网络2025链接
18Neuromorphic Imaging Flow Cytometry combined with Adaptive Recurrent Spiking Neural NetworksGeorgios Moustakas;Ioannis Tsilikas;Adonis Bogris;Charis Mesaritakis神经形态成像流式细胞术结合自适应递归脉冲神经网络2025链接
19A Principled Bayesian Framework for Training Binary and Spiking Neural NetworksJames A. Walker;Moein Khajehnejad;Adeel Razi训练二值化和脉冲神经网络的贝叶斯框架2025链接
20ASRC-SNN: Adaptive Skip Recurrent Connection Spiking Neural NetworkShang Xu;Jiayu Zhang;Ziming Wang;Runhao Jiang;Rui Yan;Huajin TangASRC-SNN：自适应跳跃递归连接脉冲神经网络2025链接
21Energy efficiency analysis of Spiking Neural Networks for space applicationsPaolo Lunghi;Stefano Silvestrini;Dominik Dold;Gabriele Meoni;Alexander Hadjiivanov;Dario Izzo空间应用中脉冲神经网络的能效分析2025链接
22Adaptive Gradient Learning for Spiking Neural Networks by Exploiting Membrane Potential DynamicsJiaqiang Jiang;Lei Wang;Runhao Jiang;Jing Fan;Rui Yan利用膜电位动力学的脉冲神经网络自适应梯度学习2025链接
23Spiking Neural Network: a low power solution for physical layer authenticationJung Hoon Lee;Sujith Vijayan脉冲神经网络：物理层认证的低功耗解决方案2025链接
24Beyond Pairwise Plasticity: Group-Level Spike Synchrony Facilitates Efficient Learning in Spiking Neural NetworksYuchen Tian;Assel Kembay;Nhan Duy Truong;Jason K. Eshraghian;Omid Kavehei超越成对可塑性：群体级脉冲同步促进脉冲神经网络的高效学习2025链接
25SpikeX: Exploring Accelerator Architecture and Network-Hardware Co-Optimization for Sparse Spiking Neural NetworksBoxun Xu;Richard Boone;Peng LiSpikeX：稀疏脉冲神经网络的加速器架构与网络-硬件协同优化探索2025链接
26Modelling the Effect of Prior Knowledge on Memory Efficiency for the Study of Transfer of Learning: A Spiking Neural Network ApproachMojgan Hafezi Fard;Krassie Petrova;Nikola Kasabov;Grace Y. Wang先验知识对学习迁移研究中记忆效率的影响建模：一种脉冲神经网络方法2025链接
27Self-cross Feature based Spiking Neural Networks for Efficient Few-shot LearningQi Xu;Junyang Zhu;Dongdong Zhou;Hao Chen;Yang Liu;Jiangrong Shen;Qiang Zhang基于自交叉特征的脉冲神经网络高效小样本学习2025链接
28Phi: Leveraging Pattern-based Hierarchical Sparsity for High-Efficiency Spiking Neural NetworksChiyue Wei;Bowen Duan;Cong Guo;Jingyang Zhang;Qingyue Song;Hai “Helen” Li;Yiran ChenPhi：利用基于模式的层次稀疏性实现高效脉冲神经网络2025链接
29Spiking Neural Networks with Temporal Attention-Guided Adaptive Fusion for imbalanced Multi-modal LearningJiangrong Shen;Yulin Xie;Qi Xu;Gang Pan;Huajin Tang;Badong Chen基于时间注意力引导自适应融合的脉冲神经网络非平衡多模态学习2025链接
30S3Det: a fast object detector for remote sensing images based on artificial to spiking neural network conversion＊#Li CHEN，FanZHANG，Guangwei XIE，Yanzhao GAO，Xiaofeng QI，Mingqian SUN
National Digital Switching System Engineering & Technological R&D Center		基于人工神经网络到脉冲神经网络转换的遥感图像快速目标检测器S3DetFrontiers of Information Technology & Electronic Engineering 2025 第5期链接

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