Optoelectronic resistive random access memory for neuromorphic vision sensors

Neuromorphic visual systems have considerable potential to emulate basic functions of the human visual system even beyond the visible light region. However, the complex circuitry of artificial visual systems based on conventional image sensors, memory and processing units presents serious challenges...

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Bibliographic Details
Published in:	Nature nanotechnology Vol. 14; no. 8; pp. 776 - 782
Main Authors:	Zhou, Feichi, Zhou, Zheng, Chen, Jiewei, Choy, Tsz Hin, Wang, Jingli, Zhang, Ning, Lin, Ziyuan, Yu, Shimeng, Kang, Jinfeng, Wong, H-S Philip, Chai, Yang
Format:	Journal Article
Language:	English
Published:	England Nature Publishing Group 01.08.2019
Subjects:	Artificial Organs BASIC (programming language) Bionics - instrumentation Circuits Edge computing Equipment Design Flight simulation Humans Information processing Internet of Things Light Memory devices Object recognition Optoelectronic devices Power consumption Random access memory Sensors Vision, Ocular Visual system
ISSN:	1748-3387, 1748-3395, 1748-3395
Online Access:	Get full text
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