Deep learning in spiking neural networks.

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第一作者： Amirhossein,Tavanaei

第一单位： School of Computing and Informatics, University of Louisiana at Lafayette, Lafayette, LA 70504, USA. Electronic address: tavanaei@louisiana.edu.

作者： Amirhossein,Tavanaei ^[1] ; Masoud,Ghodrati ^[2] ; Saeed Reza,Kheradpisheh ^[3] ; Timothée,Masquelier ^[4] ; Anthony,Maida ^[5]

作者单位： School of Computing and Informatics, University of Louisiana at Lafayette, Lafayette, LA 70504, USA. Electronic address: tavanaei@louisiana.edu. ^[1] Department of Physiology, Monash University, Clayton, VIC, Australia. ^[2] Department of Computer Science, Faculty of Mathematical Sciences and Computer, Kharazmi University, Tehran, Iran. ^[3] CERCO UMR 5549, CNRS-Université de Toulouse 3, F-31300, France. ^[4] School of Computing and Informatics, University of Louisiana at Lafayette, Lafayette, LA 70504, USA. ^[5]

关键词 Biological plausibility Deep learning Machine learning Power-efficient architecture Spiking neural network

主题词动作电位(Action Potentials);算法(Algorithms);脑(Brain);人类(Humans);模型, 神经学(Models, Neurological);神经元(Neurons)

DOI 10.1016/j.neunet.2018.12.002

PMID 30682710

发布时间 2019-12-10

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