Advanced Science (Oct 2023)

Nearly Panoramic Neuromorphic Vision with Transparent Photosynapses

  • Xuemei Dong,
  • Chen Chen,
  • Keyuan Pan,
  • Yinxiang Li,
  • Zicheng Zhang,
  • Zixi He,
  • Bin Liu,
  • Zhe Zhou,
  • Yueyue Wu,
  • Dengfeng Zhang,
  • Hongchao Sun,
  • Xinkai Qian,
  • Min Xu,
  • Wei Huang,
  • Juqing Liu

DOI
https://doi.org/10.1002/advs.202303944
Journal volume & issue
Vol. 10, no. 30
pp. n/a – n/a

Abstract

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Abstract Neuromorphic vision based on photonic synapses has the ability to mimic sensitivity, adaptivity, and sophistication of bio‐visual systems. Significant advances in artificial photosynapses are achieved recently. However, conventional photosyanptic devices normally employ opaque metal conductors and vertical device configuration, performing a limited hemispherical field of view. Here, a transparent planar photonic synapse (TPPS) is presented that offers dual‐side photosensitive capability for nearly panoramic neuromorphic vision. The TPPS consisting of all two dimensional (2D) carbon‐based derivatives exhibits ultra‐broadband photodetecting (365–970 nm) and ≈360° omnidirectional viewing angle. With its intrinsic persistent photoconductivity effect, the detector possesses bio‐synaptic behaviors such as short/long‐term memory, experience learning, light adaptation, and a 171% pair‐pulse‐facilitation index, enabling the synapse array to achieve image recognition enhancement (92%) and moving object detection.

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