Enhancing SNN-based spatio-temporal learning: A benchmark dataset and Cross-Modality Attention model.

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第一作者： Shibo,Zhou

第一单位： Research Center for Data Hub and Security, Zhejiang Lab, Hangzhou, China. Electronic address: shibo.zhou@zhejianglab.com.

作者： Shibo,Zhou ^[1] ; Bo,Yang ^[2] ; Mengwen,Yuan ^[3] ; Runhao,Jiang ^[4] ; Rui,Yan ^[5] ; Gang,Pan ^[6] ; Huajin,Tang ^[7]

作者单位： Research Center for Data Hub and Security, Zhejiang Lab, Hangzhou, China. Electronic address: shibo.zhou@zhejianglab.com. ^[1] College of Computer Science and Technology, Zhejiang University, Hangzhou, China. Electronic address: yangboak@icloud.com. ^[2] Research Center for High Efficiency Computing System, Zhejiang Lab, Hangzhou, China. Electronic address: yuanmw@zhejianglab.com. ^[3] College of Computer Science and Technology, Zhejiang University, Hangzhou, China. Electronic address: rhjiang@zju.edu.cn. ^[4] College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China. Electronic address: ryan@zjut.edu.cn. ^[5] College of Computer Science and Technology, Zhejiang University, Hangzhou, China; The State Key Lab of Brain-Machine Intelligence, Zhejiang University, Hangzhou, China. Electronic address: gpan@zju.edu.cn. ^[6] College of Computer Science and Technology, Zhejiang University, Hangzhou, China; The State Key Lab of Brain-Machine Intelligence, Zhejiang University, Hangzhou, China. Electronic address: htang@zju.edu.cn. ^[7]

关键词 Attention mechanism Cross-modality fusion Neuromorphic dataset Spatio-temporal representation Spiking neural networks

DOI 10.1016/j.neunet.2024.106677

PMID 39260008

发布时间 2024-11-15

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Enhancing SNN-based spatio-temporal learning: A benchmark dataset and Cross-Modality Attention model.

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Enhancing SNN-based spatio-temporal learning: A benchmark dataset and Cross-Modality Attention model.

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