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Vertically integrated spiking cone photoreceptor arrays for color perception

Author

Listed:
  • Xiangjing Wang

    (Nanjing University)

  • Chunsheng Chen

    (Nanjing University)

  • Li Zhu

    (Nanjing University of Posts and Telecommunications)

  • Kailu Shi

    (Nanjing University)

  • Baocheng Peng

    (Nanjing University)

  • Yixin Zhu

    (Nanjing University)

  • Huiwu Mao

    (Nanjing University)

  • Haotian Long

    (Nanjing University)

  • Shuo Ke

    (Nanjing University)

  • Chuanyu Fu

    (Nanjing University)

  • Ying Zhu

    (Nanjing University)

  • Changjin Wan

    (Nanjing University)

  • Qing Wan

    (Nanjing University
    Zhejiang University, ZJU-Hangzhou Global Scientific and Technological Innovation Centre)

Abstract

The cone photoreceptors in our eyes selectively transduce the natural light into spiking representations, which endows the brain with high energy-efficiency color vision. However, the cone-like device with color-selectivity and spike-encoding capability remains challenging. Here, we propose a metal oxide-based vertically integrated spiking cone photoreceptor array, which can directly transduce persistent lights into spike trains at a certain rate according to the input wavelengths. Such spiking cone photoreceptors have an ultralow power consumption of less than 400 picowatts per spike in visible light, which is very close to biological cones. In this work, lights with three wavelengths were exploited as pseudo-three-primary colors to form ‘colorful’ images for recognition tasks, and the device with the ability to discriminate mixed colors shows better accuracy. Our results would enable hardware spiking neural networks with biologically plausible visual perception and provide great potential for the development of dynamic vision sensors.

Suggested Citation

  • Xiangjing Wang & Chunsheng Chen & Li Zhu & Kailu Shi & Baocheng Peng & Yixin Zhu & Huiwu Mao & Haotian Long & Shuo Ke & Chuanyu Fu & Ying Zhu & Changjin Wan & Qing Wan, 2023. "Vertically integrated spiking cone photoreceptor arrays for color perception," Nature Communications, Nature, vol. 14(1), pages 1-9, December.
  • Handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-39143-8
    DOI: 10.1038/s41467-023-39143-8
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    References listed on IDEAS

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    1. Leigh R. Hochberg & Daniel Bacher & Beata Jarosiewicz & Nicolas Y. Masse & John D. Simeral & Joern Vogel & Sami Haddadin & Jie Liu & Sydney S. Cash & Patrick van der Smagt & John P. Donoghue, 2012. "Reach and grasp by people with tetraplegia using a neurally controlled robotic arm," Nature, Nature, vol. 485(7398), pages 372-375, May.
    2. Klaudia P. Szatko & Maria M. Korympidou & Yanli Ran & Philipp Berens & Deniz Dalkara & Timm Schubert & Thomas Euler & Katrin Franke, 2020. "Neural circuits in the mouse retina support color vision in the upper visual field," Nature Communications, Nature, vol. 11(1), pages 1-14, December.
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    Cited by:

    1. Fanfan Li & Dingwei Li & Chuanqing Wang & Guolei Liu & Rui Wang & Huihui Ren & Yingjie Tang & Yan Wang & Yitong Chen & Kun Liang & Qi Huang & Mohamad Sawan & Min Qiu & Hong Wang & Bowen Zhu, 2024. "An artificial visual neuron with multiplexed rate and time-to-first-spike coding," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
    2. Tao Guo & Shasha Li & Y. Norman Zhou & Wei D. Lu & Yong Yan & Yimin A. Wu, 2024. "Interspecies-chimera machine vision with polarimetry for real-time navigation and anti-glare pattern recognition," Nature Communications, Nature, vol. 15(1), pages 1-13, December.
    3. Pengshan Xie & Yunchao Xu & Jingwen Wang & Dengji Li & Yuxuan Zhang & Zixin Zeng & Boxiang Gao & Quan Quan & Bowen Li & You Meng & Weijun Wang & Yezhan Li & Yan Yan & Yi Shen & Jia Sun & Johnny C. Ho, 2024. "Birdlike broadband neuromorphic visual sensor arrays for fusion imaging," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
    4. Shaomei Lin & Weifeng Yang & Xubin Zhu & Yubin Lan & Kerui Li & Qinghong Zhang & Yaogang Li & Chengyi Hou & Hongzhi Wang, 2024. "Triboelectric micro-flexure-sensitive fiber electronics," Nature Communications, Nature, vol. 15(1), pages 1-10, December.
    5. Zhiyuan Li & Zhongshao Li & Wei Tang & Jiaping Yao & Zhipeng Dou & Junjie Gong & Yongfei Li & Beining Zhang & Yunxiao Dong & Jian Xia & Lin Sun & Peng Jiang & Xun Cao & Rui Yang & Xiangshui Miao & Ron, 2024. "Crossmodal sensory neurons based on high-performance flexible memristors for human-machine in-sensor computing system," Nature Communications, Nature, vol. 15(1), pages 1-11, December.

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