Integrated In-Sensor Computing Optoelectronic Device for Environment-Adaptable Artificial Retina Perception Application.

Journal: Nano letters
Published Date: Dec 28, 2021

Abstract

With the development and application of artificial intelligence, there is an appeal to the exploitation of various sensors and memories. As the most important perception of human beings, vision occupies more than 80% of all the received information. Inspired by biological eyes, an artificial retina based on 2D Janus MoSSe was fabricated, which could simulate functions of visual perception with electronic/ion and optical comodulation. Furthermore, inspired by human brain, sensing, memory, and neuromorphic computing functions were integrated on one device for multifunctional intelligent electronics, which was beneficial for scalability and high efficiency. Through the formation of faradic electric double layer (EDL) at the metal-oxide/electrolyte interfaces could realize synaptic weight changes. On the basis of the optoelectronic performances, light adaptation of biological eyes, preprocessing, and recognition of handwritten digits were implemented successfully. This work may provide a strategy for the future integrated sensing-memory-processing device for optoelectronic artificial retina perception application.

Authors

  • Jialin Meng
    State Key Laboratory of ASIC and System, School of Microelectronics, Fudan University, Shanghai 200433, China.
  • Tianyu Wang
    State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University; University of Michigan-Shanghai Jiao Tong University Joint Institute, Shanghai Jiao Tong University.
  • Hao Zhu
    State Key Laboratory of Advanced Technology for Materials Synthesis and Processing, Wuhan University of Technology Wuhan 430070 PR China chang@whut.edu.cn suntl@whut.edu.cn.
  • Li Ji
    College of Environmental & Resource Sciences, Zhejiang University, Hangzhou 310058, China.
  • Wenzhong Bao
    State Key Laboratory of ASIC and System, School of Microelectronics, Fudan University, Shanghai 200433, China. Electronic address: baowz@fudan.edu.cn.
  • Peng Zhou
    School of International Studies, Zhejiang University, Hangzhou, China.
  • Lin Chen
    College of Sports, Nanjing Tech University, Nanjing, China.
  • Qing-Qing Sun
  • David Wei Zhang
    State Key Laboratory of ASIC and System, School of Microelectronics, Fudan University, Shanghai 200433, China.

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