Retina-Inspired Organic Heterojunction-Based Optoelectronic Synapses for Artificial Visual Systems
作者机构：Interdisciplinary Materials Research CenterSchool of Materials Science and EngineeringShanghai Institute of Intelligent Science and TechnologyTongji UniversityShanghai 201804China Translational Research Institute of Brain and Brain-Like IntelligenceShanghai Fourth People's Hospital Affiliated to Tongji UniversityTongji UniversityShanghai 200434China
出 版 物：《Research》 (研究（英文）)
年 卷 期：2021年第2021卷第1期
页 面：442-451页
核心收录：
学科分类：08[工学] 080203[工学-机械设计及理论] 0802[工学-机械工程]
基 金：supported by the National Key Research and Development Program of China(2017YFA0103904) the National Natural Science Foundation of China(61822405,62074111) the Science&Technology Foundation of Shanghai(19JC1412402,20JC1415600) Shuguang Program supported by Shanghai Education Development Foundation and Shanghai Municipal Education Commission(18SG20) Beijing National Laboratory for Molecular Sciences(BNLMS201904) the support of the Fundamental Research Funds for the Central Universities.
主 题：Visual artificial optoelectronic
摘 要：For the realization of retina-inspired neuromorphic visual systems which simulate basic functions of human visual systems,optoelectronic synapses capable of combining perceiving,processing,and memorizing in a single device have attracted immense interests.Here,optoelectronic synaptic transistors based on tris(2-phenylpyridine)iridium(Ir(ppy)_(3))and poly(3,3-didodecylquarterthiophene)(PQT-12)heterojunction structure are presented.The organic heterojunction serves as a basis for distinctive synaptic characteristics under different wavelengths of light.Furthermore,synaptic transistor arrays are fabricated to demonstrate their optical perception efficiency and color recognition capability under multiple illuminating conditions.The wavelength-tunability of synaptic behaviors further enables the mimicry of mood-modulated visual learning and memorizing processes of humans.More significantly,the computational dynamics of neurons of synaptic outputs including associated learning and optical logic functions can be successfully demonstrated on the presented devices.This work may locate the stage for future studies on optoelectronic synaptic devices toward the implementation of artificial visual systems.
维普期刊数据库