文献阅读笔记：脉冲神经网络最新文献合集-XV

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：Xiuru