A Survey of Neuromorphic Computing Based on Spiking Neural Networks

被引：0
|
作者：
ZHANG Ming [1 ]
GU Zonghua [1 ]
PAN Gang [1 ]
机构：
[1] School of Computer Science and Technology, Zhejiang University
来源：
Chinese Journal of Electronics | 2018年 / 27卷 / 04期
基金：
中国国家自然科学基金;
关键词：
Neuromorphic computing; Spiking neural networks; Brain-inspired computing; Machine learning;
D O I：
暂无
中图分类号：
TN911.7 [信号处理]; TP18 [人工智能理论];
学科分类号：
0711 ; 080401 ; 080402 ; 081104 ; 0812 ; 0835 ; 1405 ;
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.
引用
收藏
页码：667 / 674
页数：8
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