An Optoelectronic Memristor Based on Proton‐Involved Photoreduction for Bimodal Sensing, Memory, and Processing

Advanced devices and systems with integrated sensing, memory, and processing functionalities similar to those of the human nervous system are highly desirable for efficient artificial intelligence applications. In this study, an optoelectronic memristor with integrated bimodal sensing, memory, and processing based on graphite oxide (GO)/titanium dioxide (TiO 2 ) nanocomposite is presented. The resistive switching behavior of the memristor is based on proton‐involved photoreduction, and the memristor exhibits humidity‐dependent optical resistive switching and synaptic behaviors similar to an artificial optoelectronic synapse. The plasticity of the artificial synapse can be further modulated by a heterosynapse with an external bias caused by electric field‐driven oxygen migration. These features equip the artificial synapse with not only a combined light/humidity information sensing and memory but also contrast enhancement and attention‐driven functionalities similar to those of the human visual memory system. Moreover, as a proof of concept, a sensory–motion system is constructed, which sends the synaptic feedback of the optoelectronic memristor to direct responses in a robotic arm. This work could provide a fundamental unit for the future development of perception systems in efficient humanoid robots.

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Publication Details

Journal
Advanced Intelligent Systems
Published
2025-03-02
DOI
https://doi.org/10.1002/aisy.202400968
Citations
7
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
5.11

Funders

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article

An Optoelectronic Memristor Based on Proton‐Involved Photoreduction for Bimodal Sensing, Memory, and Processing

Xiaoning Zhao, Ya Lin, Qiaoling Tian, Haiyang Xu et al.
7 citations
Advanced Intelligent Systems
Advanced Memory and Neural Computing
5.11
article

An Optoelectronic Memristor Based on Proton‐Involved Photoreduction for Bimodal Sensing, Memory, and Processing

Xiaoning Zhao, Ya Lin, Qiaoling Tian, Haiyang Xu, Xinyu Sui, Yichun Liu, Zhongqiang Wang, Ye Tao
article en
7 citations

Abstract

Advanced devices and systems with integrated sensing, memory, and processing functionalities similar to those of the human nervous system are highly desirable for efficient artificial intelligence applications. In this study, an optoelectronic memristor with integrated bimodal sensing, memory, and processing based on graphite oxide (GO)/titanium dioxide (TiO 2 ) nanocomposite is presented. The resistive switching behavior of the memristor is based on proton‐involved photoreduction, and the memristor exhibits humidity‐dependent optical resistive switching and synaptic behaviors similar to an artificial optoelectronic synapse. The plasticity of the artificial synapse can be further modulated by a heterosynapse with an external bias caused by electric field‐driven oxygen migration. These features equip the artificial synapse with not only a combined light/humidity information sensing and memory but also contrast enhancement and attention‐driven functionalities similar to those of the human visual memory system. Moreover, as a proof of concept, a sensory–motion system is constructed, which sends the synaptic feedback of the optoelectronic memristor to direct responses in a robotic arm. This work could provide a fundamental unit for the future development of perception systems in efficient humanoid robots.

Advanced Intelligent SystemsVol. 7(7)
Northeast Normal University (CN)
People's Government of Jilin Province
Openalex Percentile: Top 5%
Advanced Memory and Neural Computing
5.11
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An Optoelectronic Memristor Based on Proton‐Involved Photoreduction for Bimodal Sensing, Memory, and Processing — Xiaoning Zhao, Ya Lin, et al. · Advanced Intelligent Systems (2025) | TGRS Research Map | TGRS