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Optically Readable Electrochromic-Based Microfiber Synaptic Device for Photonic Neuromorphic Systems.

Hui ShiBanghu WangXiaohong WangLong-Zhen QiuLei Zheng
Published in: ACS applied materials & interfaces (2023)
Optical synaptic devices possess great potential in both artificial intelligence and neuromorphic photonics. In this work, an optically readable electrochromic-based microfiber synaptic device was designed by the combination of a multimode fiber and an electrochromic device and using an external voltage to control the transmission of light in the fiber. The proposed synaptic device has the ability to imitate various basic functions of the biological synapses, such as synaptic plasticity, and paired-pulse facilitation (PPF), as well as the transition from short-term memory to long-term memory. Moreover, the proposed device decodes the output optical signal with the international Morse code to express the signal "HFUT" in two ways, and a 3 × 3 array composed of this device can simulate the perceptual learning process. The device can be easily prepared for a wide range of applications, and the incorporated microfibers can be replaced by planar optical waveguides, making it easy to be integrated into a more complex and versatile photonic neuromorphic system.
Keyphrases
  • artificial intelligence
  • high resolution
  • high speed
  • machine learning
  • working memory
  • risk assessment
  • climate change