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Neuromorphic Devices for Brain-inspired Computing
book

Neuromorphic Devices for Brain-inspired Computing

by Qing Wan, Yi Shi
May 2022
Intermediate to advanced
256 pages
8h 43m
English
Wiley-VCH
Content preview from Neuromorphic Devices for Brain-inspired Computing

4Neuromorphic Devices Based on Chalcogenide Materials

Jia Chen, Yifan Lu, Zhe Yang, Yi Li, and Xiangshui Miao

Huazhong University of Science and Technology, Wuhan National Laboratory for Optoelectronics, School of Optical and Electronic Information, Luoyu Road 1037, Wuhan 430074, P. R. China

4.1 Introduction

With the ability to execute cognitive information processing operations with high energy efficiency, brain-inspired neuromorphic computing has been emerging as an alternative paradigm for non-von Neumann computing in the incoming artificial intelligence of things (AIoT) era [1].

Electronic artificial neurons and synapses are two essential blocks for constructing a hardware neuromorphic system, regardless of which technical routes are ...

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Publisher Resources

ISBN: 9783527349791Purchase Link