首页|Neuromorphic vision sensors:Principle,progress and perspectives

Neuromorphic vision sensors:Principle,progress and perspectives

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Conventional frame-based image sensors suffer greatly from high energy consumption and latency.Mimicking neuro-biological structures and functionalities of the retina provides a promising way to build a neuromorphic vision sensor with highly efficient image processing.In this review article,we will start with a brief introduction to explain the working mechan-ism and the challenges of conventional frame-based image sensors,and introduce the structure and functions of biological ret-ina.In the main section,we will overview recent developments in neuromorphic vision sensors,including the silicon retina based on conventional Si CMOS digital technologies,and the neuromorphic vision sensors with the implementation of emer-ging devices.Finally,we will provide a brief outline of the prospects and outlook for the development of this field.

image sensorssilicon retinaneuromorphic vision sensorsphotonic synapses

Fuyou Liao、Feichi Zhou、Yang Chai

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The Hong Kong Polytechnic University Shenzhen Research Institute, Shenzhen 518057, China

Department of Applied Physics, The Hong Kong Polytechnic University, Hong Kong, China

This work is supported by Research Grant Council of Hong KongShenzhen Science and Technology Innovation Commissionand National Natural Science Foundation of China

15205619JCYJ2018050718342438361851402

2021

半导体学报(英文版)
中国电子学会和中国科学院半导体研究所

半导体学报(英文版)

CSTPCDCSCDEI
影响因子:0.36
ISSN:1674-4926
年,卷(期):2021.42(1)
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