A Survey of Neuromorphic Computing Based on Spiking Neural Networks  

作　　者：ZHANG Ming GU Zonghua PAN Gang 

机构地区：[1]School of Computer Science and Technology, Zhejiang University

出　　处：《Chinese Journal of Electronics》2018年第4期667-674,共8页电子学报（英文版）

基　　金：supported by National Key Basic Research and Development Program of China(No.2017YFB1002503);the National Natural Science Foundation of China(No.61672454)

摘　　要：Neuromorphic computing aims to build digital or analog computer systems that emulate or simulate the biological brain, in order to achieve high performance and low power consumption for intelligent information processing applications. This article reviews on neuromorphic computing based on Spiking neural networks(SNNs), including its history of development, common neuron models, major research projects, neuromorphic sensors, and applications in brain-computer Interfaces.Neuromorphic computing aims to build digital or analog computer systems that emulate or simulate the biological brain, in order to achieve high performance and low power consumption for intelligent information processing applications. This article reviews on neuromorphic computing based on Spiking neural networks（SNNs）, including its history of development, common neuron models, major research projects, neuromorphic sensors, and applications in brain-computer Interfaces.

关 键 词：Neuromorphic computing Spiking neural networks Brain-inspired computing Machine learning 

分 类 号：TN911.7[电子电信—通信与信息系统] TP18[电子电信—信息与通信工程]