Open AccessA Survey of Neuromorphic Computing Based on Spiking Neural Networks
Author(s) -
ZHANG Ming,
GU Zonghua,
PAN Gang
Publication year - 2018
Publication title -
chinese journal of electronics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.267
H-Index - 25
eISSN - 2075-5597
pISSN - 1022-4653
DOI - 10.1049/cje.2018.05.006
Subject(s) - neuromorphic engineering , spiking neural network , computer science , power consumption , computer architecture , artificial neural network , computational neuroscience , artificial intelligence , human–computer interaction , power (physics) , physics , quantum mechanics
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.