Optically Readable Organic Electrochemical Synaptic Transistors for Neuromorphic Photonic Image Processing

Yunchao Xu, Yiming Shi, Chuan Qian, Pengshan Xie, Chenxing Jin, Xiaofang Shi, Gengming Zhang, Wanrong Liu, Changjin Wan, Johnny C. Ho, Jia Sun*, Junliang Yang*

*Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

37 Citations (Scopus)

Abstract

Optically readable organic synaptic devices have great potential in both artificial intelligence and photonic neuromorphic computing. Herein, a novel optically readable organic electrochemical synaptic transistor (OR-OEST) strategy is first proposed. The electrochemical doping mechanism of the device was systematically investigated, and the basic biological synaptic behaviors that can be read by optical means are successfully achieved. Furthermore, the flexible OR-OESTs are capable of electrically switching the transparency of semiconductor channel materials in a nonvolatile manner, and thus the multilevel memory can be achieved through optical readout. Finally, the OR-OESTs are developed for the preprocessing of photonic images, such as contrast enhancement and denoising, and feeding the processed images into an artificial neural network, achieving a recognition rate of over 90%. Overall, this work provides a new strategy for the implementation of photonic neuromorphic systems. © 2023 American Chemical Society.
Original languageEnglish
Pages (from-to)5264-5271
JournalNano Letters
Volume23
Issue number11
Online published25 May 2023
DOIs
Publication statusPublished - 14 Jun 2023

Research Keywords

  • artificial neuromorphic systems
  • electrochemical doping
  • optically readable synapses
  • organic electrochemical transistors

Fingerprint

Dive into the research topics of 'Optically Readable Organic Electrochemical Synaptic Transistors for Neuromorphic Photonic Image Processing'. Together they form a unique fingerprint.

Cite this