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	Sparse Temporal Encoding of Visual Features for Robust Object Recognition by Spiking Neurons
	Yajing Zheng; Shixin Li; Rui Yan; Huajin Tang; Kay Chen Tan
刊名	IEEE Transactions on Neural Networks and Learning Systems
	2018
页码	1-11
关键词	Encoding Feature extraction Neurons Visualization Object recognition Spatiotemporal phenomena Robustness Robust object recognition sparse temporal encoding spatiotemporal patterns spiking neural networks (SNNs) temporal classifier.
ISSN号	2162-237X;2162-2388
URL标识	查看原文
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/1908723
专题	四川大学
作者单位	1.Neuromorphic Computing Research Center, College of Computer Science, Sichuan University, Chengdu 610065, China 2.Neuromorphic Computing Research Center, College of Computer Science, Sichuan University, Chengdu 610065, China 3.Department of Computer Science, City University of Hong Kong, Hong Kong
推荐引用方式 GB/T 7714	Yajing Zheng,Shixin Li,Rui Yan,et al. Sparse Temporal Encoding of Visual Features for Robust Object Recognition by Spiking Neurons[J]. IEEE Transactions on Neural Networks and Learning Systems,2018:1-11.
APA	Yajing Zheng,Shixin Li,Rui Yan,Huajin Tang,&Kay Chen Tan.(2018).Sparse Temporal Encoding of Visual Features for Robust Object Recognition by Spiking Neurons.IEEE Transactions on Neural Networks and Learning Systems,1-11.
MLA	Yajing Zheng,et al."Sparse Temporal Encoding of Visual Features for Robust Object Recognition by Spiking Neurons".IEEE Transactions on Neural Networks and Learning Systems (2018):1-11.

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