文献阅读笔记：脉冲神经网络最新文献合集-XI

序号	英文标题	作者及机构	中文翻译	出处	链接
1	Biologically Inspired Spatial-Temporal Perceiving Strategies for Spiking Neural Network	Yu Zheng; Jingfeng Xue; Jing Liu; Yanjun Zhang（Affiliation 1 Beijing Institute of Technology, Beijing 100081, China.）	生物启发的脉冲神经网络时空感知策略	Biomimetics (Basel, Switzerland) 2025 Vol.10 No.1 P48	链接
2	Multilayer magnetic skyrmion devices for spiking neural networks	Aijaz H Lone*; Daniel N Rahimi; Hossein Fariborzi; Gianluca Setti	用于脉冲神经网络的多层磁斯格明子器件	Neuromorphic Computing and Engineering 2025 Vol.5 No.1 P014005	链接
3	Loss shaping enhances exact gradient learning with Eventprop in spiking neural networks	Thomas Nowotny*; James P Turner; James C Knight	损失整形增强脉冲神经网络中Eventprop的精确梯度学习	Neuromorphic Computing and Engineering 2025 Vol.5 No.1 P014001	链接
4	TinySpiking: a lightweight and efficient python framework for unsupervised learning spiking neural networks	Xin Liu; Lingfei Mo; Mengting Tang	TinySpiking：一种用于无监督学习脉冲神经网络的轻量级高效Python框架	Engineering Research Express 2025 Vol.7 No.1 P015217	链接
5	Deep Spiking Neural Networks Driven by Adaptive Interval Membrane Potential for Temporal Credit Assignment Problem	Jiaqiang Jiang1; Haohui Ding1; Haixia Wang1; Rui Yan1（1College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China）	基于自适应间隔膜电位的深度脉冲神经网络解决时间信用分配问题	IEEE Transactions on Emerging Topics in Computational Intelligence 2025 Vol.9 No.1 P717-728	链接
6	Synchronization in spiking neural networks with short and long connections and time delays	Lionel Kusch; Martin Breyton; Damien Depannemaecker; Spase Petkoski; Viktor K Jirsa	具有短程和长程连接及时间延迟的脉冲神经网络同步	Chaos (Woodbury, N.Y.) 2025 Vol.35 No.1 P013161	链接
7	Research on Hardware Acceleration of Traffic Sign Recognition Based on Spiking Neural Network and FPGA Platform	Huarun Chen1; Yijun Liu1; Wujian Ye1; Jialiang Ye1; Yuehai Chen1; Shaozhen Chen1; Chao Han2（1School of Integrated Circuits, Guangdong University of Technology, Guangzhou, China 2Research Institute of IC Innovation (RIICI), Guangdong University of Technology, Guangzhou, China）	基于脉冲神经网络和FPGA平台的交通标志识别硬件加速研究	IEEE Transactions on Very Large Scale Integration (VLSI) Systems 2025 Vol.33 No.2 P499-511	链接
8	Side-Channel Analysis of Integrate-and-Fire Neurons Within Sp