Photopic Adaptation Mimicked by Y2O3-Based Optoelectronic Memristor for Neuromorphic Visual System

Visual adaptation is one of the most significant features that helps organisms process complicated image information in time-varying environments. Emulating this function is highly desirable for energy-efficient image perception. In this work, we demonstrate an yttrium oxide (Y<sub>2</sub>O<sub>3</sub>)-based optoelectronic memristor and emulate photopic adaptation behavior in a single device. Decay amplitude and photosensitivity are indexed to describe the time-dependent characteristics of photopic adaptation. An intensity-dependent characteristic, namely Weber's law, is also investigated in this work. Photopic adaptation originates from the trapping of photogenerated carriers in oxygen vacancies. Based on photopic adaptation behavior, a neuromorphic vision system capable of adapting to environmental brightness is constructed using the proposed optoelectronic memristor array. Memristor arrays can emulate sensing and adaptation functions in order to enhance images against bright backgrounds. Our work provides a feasible pathway toward self-adaptive neuromorphic vision systems.

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Publication Details

Journal
Nanomaterials
Published
2025-04-11
DOI
https://doi.org/10.3390/nano15080579
Citations
1
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
0.73

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Photopic Adaptation Mimicked by Y2O3-Based Optoelectronic Memristor for Neuromorphic Visual System

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1 citations
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Advanced Memory and Neural Computing
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article

Photopic Adaptation Mimicked by Y2O3-Based Optoelectronic Memristor for Neuromorphic Visual System

Jiajuan Shi, Xiaoning Zhao, Xuanyu Shan, Zhipeng Li, Ya Lin, Ye Tao, Zhuangzhuang Li, Zhongqiang Wang, Shanshan Qiao, Chunliang Wang
article en
1 citations

Abstract

Visual adaptation is one of the most significant features that helps organisms process complicated image information in time-varying environments. Emulating this function is highly desirable for energy-efficient image perception. In this work, we demonstrate an yttrium oxide (Y<sub>2</sub>O<sub>3</sub>)-based optoelectronic memristor and emulate photopic adaptation behavior in a single device. Decay amplitude and photosensitivity are indexed to describe the time-dependent characteristics of photopic adaptation. An intensity-dependent characteristic, namely Weber's law, is also investigated in this work. Photopic adaptation originates from the trapping of photogenerated carriers in oxygen vacancies. Based on photopic adaptation behavior, a neuromorphic vision system capable of adapting to environmental brightness is constructed using the proposed optoelectronic memristor array. Memristor arrays can emulate sensing and adaptation functions in order to enhance images against bright backgrounds. Our work provides a feasible pathway toward self-adaptive neuromorphic vision systems.

NanomaterialsVol. 15(8)
Northeast Normal University (CN)
National Natural Science Foundation of China, China Postdoctoral Science Foundation, People's Government of Jilin Province, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 30%
Advanced Memory and Neural Computing
0.73
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