中文版 | English

在结果中检索

CASIA OpenIR

浏览/检索结果: 共6条，第1-6条 帮助

限定条件        
已选(0)清除 条数/页：   排序方式：
Sparser spiking activity can be better: Feature Refine-and-Mask spiking neural network for event-based visual recognition 期刊论文
NEURAL NETWORKS, 2023, 卷号: 166, 页码: 410-423
作者:  Yao, Man;  Zhang, Hengyu;  Zhao, Guangshe;  Zhang, Xiyu;  Wang, Dingheng;  Cao, Gang;  Li, Guoqi
收藏  |  浏览/下载：111/0  |  提交时间：2023/11/16
Spiking neural network  Event-based vision  Neuromorphic computing  Attention mechanism  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：166/0  |  提交时间：2023/03/20
Postsynaptic potential  Spiking neural network  Sequence learning  Temporal information processing  
Modeling learnable electrical synapse for high precision spatio-temporal recognition 期刊论文
NEURAL NETWORKS, 2022, 卷号: 149, 页码: 184-194
作者:  Wu, Zhenzhi;  Zhang, Zhihong;  Gao, Huanhuan;  Qin, Jun;  Zhao, Rongzhen;  Zhao, Guangshe;  Li, Guoqi
收藏  |  浏览/下载：179/0  |  提交时间：2022/07/25
Electrical synapse  coupling  Leaky-integrate-and-fire model  Spatio-temporal information  Bio-plausible neuronal dynamics  
An end-to-end exemplar association for unsupervised person Re-identification 期刊论文
NEURAL NETWORKS, 2020, 卷号: 129, 页码: 43-54
作者:  Wu, Jinlin;  Yang, Yang;  Lei, Zhen;  Wang, Jinqiao;  Li, Stan Z.;  Tiwari, Prayag;  Pandey, Hari Mohan
Adobe PDF(3014Kb)  |  收藏  |  浏览/下载：375/90  |  提交时间：2020/09/07
End-to-end exemplar-based training  Exemplar association  Dynamic selection threshold  
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：257/0  |  提交时间：2020/03/30
Spiking neural networks  Dopamine-modulated spike-timing dependent plasticity  Pattern recognition  Supervised learning  Biologically plausibility  
Evolving spatio-temporal data machines based on the NeuCube neuromorphic framework: Design methodology and selected applications 期刊论文
NEURAL NETWORKS, 2016, 卷号: 78, 页码: 1-14
作者:  Kasabov, Nikola;  Scott, Nathan Matthew;  Tu, Enmei;  Marks, Stefan;  Sengupta, Neelava;  Capecci, Elisa;  Othman, Muhaini;  Doborjeh, Maryam Gholami;  Murli, Norhanifah;  Hartono, Reggio;  Espinosa-Ramos, Josafath Israel;  Zhou, Lei;  Alvi, Fahad Bashir;  Wang, Grace;  Taylor, Denise;  Feigin, Valery;  Gulyaev, Sergei;  Mahmoud, Mahmoud;  Hou, Zeng-Guang;  Yang, Jie
收藏  |  浏览/下载：229/0  |  提交时间：2016/10/20
Spatio/spectro Temporal Data  Evolving Connectionist Systems  Evolving Spiking Neural Networks  Computational Neurogenetic Systems  Evolving Spatio-temporal Data Machines  Neucube