Optoelectronic resistive random access memory for neuromorphic vision sensors.

Feichi Zhou, Zheng Zhou, Jiewei Chen, Tsz Hin Choy, Jingli Wang, Ning Zhang, Ziyuan Lin, Shimeng Yu, Jinfeng Kang, H-S Philip Wong, Yang Chai

August 2019 Nat Nanotechnol

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Comments reflect a neutral recognition of the publication, with phrases like 'new content online' and mentions of 'neuromorphic vision sensors,' showing curiosity but limited in-depth analysis or enthusiasm. The tone suggests some awareness of the technology's potential but stops short of detailed critique or excitement.

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Posts referencing the article

Optoelectronic Memory for Neuromorphic Vision Systems

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Professor Yang Chai discusses a new optoelectronic resistive memory device that mimics human visual processing, enabling efficient image sensing, memory, and preprocessing, with potential applications in edge computing and IoT.

Schotar

August 14, 2020

207 views

Optoelectronic Resistive Memory for Neuromorphic Vision Sensors

Optoelectronic Resistive Memory for Neuromorphic Vision Sensors

Introduction of a new optoelectronic resistive memory device mimicking human visual functions, capable of light response, memory storage, and visual preprocessing, with applications in edge computing and IoT to simplify circuitry and reduce power use.

성균관대학교 스마트팩토리융합학과

April 1, 2025

114 views

  • Paul Zhou
    @paul229 (Twitter)

    RT @NatureNano: New content online: Optoelectronic resistive random access memory for neuromorphic vision sensors https://t.co/98763pyjM7
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  • Gary Beane
    @pollinus66 (Twitter)

    RT @NatureNano: New content online: Optoelectronic resistive random access memory for neuromorphic vision sensors https://t.co/98763pyjM7
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  • Nature Nanotechnology
    @NatureNano (Twitter)

    New content online: Optoelectronic resistive random access memory for neuromorphic vision sensors https://t.co/98763pyjM7
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Abstract Synopsis

  • The study introduces a new type of optoelectronic resistive random access memory (ORRAM) device that mimics basic functions of the human visual system, especially in processing light and memory.
  • These ORRAM devices are simple, two-terminal systems that can switch resistance in response to light and act as synapses, enabling them to perform image sensing, memory storage, and visual preprocessing efficiently.
  • The research suggests this technology could simplify the circuitry needed for neuromorphic visual systems and has potential applications in edge computing and the Internet of Things, improving device integration and reducing power consumption.