RGB Color-Discriminable Photonic Synapse for Neuromorphic Vision System  

作　　者：Bum Ho Jeong Jaewon Lee Miju Ku Jongmin Lee Dohyung Kim Seokhyun Ham Kyu-Tae Lee Young-Beom Kim Hui Joon Park 

机构地区：[1]Department of Organic and Nano Engineering&Human-Tech Convergence Program,Hanyang University,Seoul 04763,Korea [2]Department of Semiconductor Engineering,Hanyang University,Seoul 04763,Korea [3]Department of Mechanical Engineering,Hanyang University,Seoul 04763,Korea [4]Department of Physics,Inha University,Incheon 22212,Korea

出　　处：《Nano-Micro Letters》2025年第4期39-62,共24页纳微快报(英文版)

基　　金：supported by National Research Foundation of Korea(NRF)[RS-2024-00350701 and RS-2023-00207828].

摘　　要：To emulate the functionality of the human retina and achieve a neuromorphic visual system,the development of a photonic synapse capable of multispectral color discrimination is of paramount importance.However,attaining robust color discrimination across a wide intensity range,even irrespective of medium limitations in the channel layer,poses a significant challenge.Here,we propose an approach that can bestow the color-discriminating synaptic functionality upon a three-terminal transistor flash memory even with enhanced discriminating capabilities.By incorporating the strong induced dipole moment effect at the excitation,modulated by the wavelength of the incident light,into the floating gate,we achieve outstanding RGB color-discriminating synaptic functionality within a remarkable intensity range spanning from 0.05 to 40 mW cm^(-2).This approach is not restricted to a specific medium in the channel layer,thereby enhancing its applicability.The effectiveness of this color-discriminating synaptic functionality is demonstrated through visual pre-processing of a photonic synapse array,involving the differentiation of RGB channels and the enhancement of image contrast with noise reduction.Consequently,a convolutional neural network can achieve an impressive inference accuracy of over 94%for Canadian-Institute-For-Advanced-Research-10 colorful image recognition task after the pre-processing.Our proposed approach offers a promising solution for achieving robust and versatile RGB color discrimination in photonic synapses,enabling significant advancements in artificial visual systems.

关 键 词：Organic field-effect transistor Photonic synapse Excited-state dipole moment RGB color discrimination Neuromorphic visual system 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]