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Multi-scale full spike pattern for semantic segmentation 期刊论文
NEURAL NETWORKS, 2024, 卷号: 176, 页码: 12
作者:  Su, Qiaoyi;  He, Weihua;  Wei, Xiaobao;  Xu, Bo;  Li, Guoqi
收藏  |  浏览/下载：11/0  |  提交时间：2024/07/04
Spiking neural network  Semantic segmentation  Neuromorphic computing  Deep neural network  Energy efficiency  Brain-inspired computing  
Origin of the efficiency of spike timing-based neural computation for processing temporal information 期刊论文
NEURAL NETWORKS, 2023, 卷号: 160, 页码: 84-96
作者:  Jiang, Zhiwei;  Xu, Jiaming;  Zhang, Tielin;  Poo, Mu-ming;  Xu, Bo
收藏  |  浏览/下载：189/0  |  提交时间：2023/03/20
Postsynaptic potential  Spiking neural network  Sequence learning  Temporal information processing  
Self-Taught convolutional neural networks for short text clustering 期刊论文
NEURAL NETWORKS, 2017, 期号: 88, 页码: 22-31
作者:  Xu, Jiaming;  Xu, Bo;  Wang, Peng;  Zheng, Suncong;  Tian, Guanhua;  Zhao, Jun;  Xu, Bo
收藏  |  浏览/下载：70/0  |  提交时间：2020/10/27
Semantic Clustering  Neural Networks  Short Text  Unsupervised Learning  
Learning to Activate Logic Rules for Textual Reasoning 期刊论文
NEURAL NETWORKS, 2018, 期号: 106, 页码: 42-49
作者:  Yao, Yiqun;  Xu, Jiaming;  Shi, Jing;  Xu, Bo
收藏  |  浏览/下载：114/0  |  提交时间：2020/10/27
Natural Language Reasoning  Memory Networks  Image Schema  Logic Rules  Reinforcement Learning  
Distant supervision for relation extraction with hierarchical selective attention 期刊论文
NEURAL NETWORKS, 2018, 卷号: 108, 页码: 240-247
作者:  Zhou, Peng;  Xu, Jiaming;  Qi, Zhenyu;  Bao, Hongyun;  Chen, Zhineng;  Xu, Bo
收藏  |  浏览/下载：141/0  |  提交时间：2020/10/27
Relation extraction  Distant supervision  Hierarchical attention  Piecewise convolutional neural networks  
A biologically plausible supervised learning method for spiking neural networks using the symmetric STDP rule 期刊论文
NEURAL NETWORKS, 2020, 卷号: 121, 期号: 2, 页码: 387-395
作者:  Hao, Yunzhe;  Huang, Xuhui;  Dong, Meng;  Xu, Bo
收藏  |  浏览/下载：277/0  |  提交时间：2020/03/30
Spiking neural networks  Dopamine-modulated spike-timing dependent plasticity  Pattern recognition  Supervised learning  Biologically plausibility