Retina-Inspired Flexible Visual Synaptic Device for Dynamic Image Processing

被引:0
|
作者
Ji, Yuhang [1 ,2 ]
Meng, Yao [2 ]
Geng, Xueli [1 ]
Sun, Jiacheng [2 ]
Gao, Qin [1 ]
Yin, Hao [1 ]
Gao, Juan [1 ]
Wang, Ruzhi [3 ]
Wang, Mei [1 ]
Xiao, Zhisong [1 ]
Wang, Yuyan [2 ]
Huang, Anping [1 ]
机构
[1] Beihang Univ, Sch Phys, Beijing 100191, Peoples R China
[2] Tsinghua Univ, Beijing Natl Res Ctr Informat Sci & Technol, Beijing 100084, Peoples R China
[3] Beijing Univ Technol, Inst New Energy Mat & Devices, Fac Mat & Mfg, Beijing 100124, Peoples R China
基金
国家重点研发计划; 中国国家自然科学基金;
关键词
nanowire; synaptic plasticity; neuromorphicvisual synaptic device; optoelectronic synapse; human visual system; PERSISTENT PHOTOCONDUCTIVITY; SYNAPSES;
D O I
10.1021/acsami.4c16378
中图分类号
TB3 [工程材料学];
学科分类号
0805 ; 080502 ;
摘要
Exploiting biomimetic perception of invisible spectra in flexible artificial human vision systems (HVSs) is crucial for real-time dynamic information processing. Nevertheless, the fast processing of motion objects in natural environments poses a challenge, necessitating that these artificial HVSs simultaneously have swift photoresponse and nonvolatile memory. Here, inspired by the human retina, we propose a flexible UV neuromorphic visual synaptic device (NeuVSD) based on GaO x @GaN-composited nanowires for dynamic visual perception. Benefiting from the combined action of oxygen adsorption kinetics on the GaO x shell and photoelectronic excitation in the GaN core, the NeuVSD can achieve rapid photoresponse and long-term plasticity simultaneously, a feature that surpasses traditional devices based on persistent photoconductivity mechanisms. Beyond the optoelectronic synaptic plasticity, the flexible NeuVSD on the PET/PI substrate exhibits good performance stability after 1000 bending cycles, profiting from the high adaptability of nanowires. Furthermore, target recognition and motion detection with weak light intensities are achieved through the establishment of neuromorphic visual neural networks, relying on dynamic exposures and edge information processing, respectively. Real-time edge detection can still be realized under a 40% noise factor and effectively remove the noise background. The flexible NeuVSD array-based artificial visual system can enhance the capability of dynamic visual information processing in low-light and high-noise conditions, thereby fostering the evolution of in-sensor computing and artificial intelligence.
引用
收藏
页码:7948 / 7957
页数:10
相关论文
共 49 条
  • [31] Intrinsically stretchable photonic synaptic transistors for retina-like visual image systems
    Xu, Fan
    Zhang, Cong
    Zhao, Xiaoli
    Yu, Hongyan
    Zhao, Guodong
    Li, Juntong
    Wang, Bin
    Tong, Yanhong
    Tang, Qingxin
    Liu, Yichun
    JOURNAL OF MATERIALS CHEMISTRY C, 2022, 10 (29) : 10586 - 10594
  • [32] A biologically inspired spiking model of visual processing for image feature detection
    Kerr, Dermot
    McGinnity, T. M.
    Coleman, Sonya
    Clogenson, Marine
    NEUROCOMPUTING, 2015, 158 : 268 - 280
  • [33] Bio-inspired visual systems based on curved image sensors and synaptic devices
    Long, Zhenghao
    Ding, Yucheng
    Poddar, Swapnadeep
    Gu, Leilei
    Zhang, Qianpeng
    Fan, Zhiyong
    MATERIALS TODAY ELECTRONICS, 2023, 6
  • [34] A flexible multi-gate organic electrochemical synaptic transistor for image processing
    Wang, Jingwen
    Xu, Yunchao
    Jin, Chenxing
    Zeng, Biao
    Sun, Jia
    APPLIED PHYSICS LETTERS, 2025, 126 (05)
  • [35] Dynamic Image Processing for Visual Robot Cutting Steel Plate
    Liu, Tao
    Zheng, Yi
    Wang, Zong-yi
    Li, Dong-yan
    2008 INTERNATIONAL SYMPOSIUM ON INTELLIGENT INFORMATION TECHNOLOGY APPLICATION, VOL II, PROCEEDINGS, 2008, : 716 - 720
  • [36] Microscale Flexible Image Projection Device for Spatiotemporal Excitation in the Research of Visual System Development
    Xu, Heng
    Davitt, Kristina M.
    Dong, Wei
    Song, Yoon-Kyu
    Pattersion, William R., III
    Aizenman, Carlos D.
    Nurmikko, Arto V.
    2008 CONFERENCE ON LASERS AND ELECTRO-OPTICS & QUANTUM ELECTRONICS AND LASER SCIENCE CONFERENCE, VOLS 1-9, 2008, : 2555 - +
  • [37] Using Human Visual System modeling for bio-inspired low level image processing
    Benoit, A.
    Caplier, A.
    Durette, B.
    Herault, J.
    COMPUTER VISION AND IMAGE UNDERSTANDING, 2010, 114 (07) : 758 - 773
  • [38] Driver's drowsiness detection using an enhanced image processing technique inspired by the human visual system
    Kholerdi, Hedyeh A.
    TaheriNejad, Nima
    Ghaderi, Reza
    Baleghi, Yaser
    CONNECTION SCIENCE, 2016, 28 (01) : 27 - 46
  • [39] Flexible Wide Dynamic Range (WDR) Processing Support in Image Signal Processor (ISP)
    Mody, Mihir
    Nandan, Niraj
    Allu, Hetul Sanghvi Rajasekhar
    Sagar, Rajat
    2015 IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS (ICCE), 2015, : 467 - 470
  • [40] Dynamic behavior analysis of in vitro cancerous cells by means of an automatic image processing device
    VanHam, P
    DeHauwer, C
    Kiss, R
    MEDICAL IMAGING 1996: IMAGE PROCESSING, 1996, 2710 : 967 - 978