版权所有:内蒙古大学图书馆 技术提供:维普资讯• 智图
内蒙古自治区呼和浩特市赛罕区大学西街235号 邮编: 010021
作者机构:Zhejiang Univ State Key Lab Silicon Mat Hangzhou 310027 Zhejiang Peoples R China Zhejiang Univ Sch Mat Sci & Engn Hangzhou 310027 Zhejiang Peoples R China Zhejiang Univ Coll Informat Sci & Elect Engn Hangzhou 310027 Zhejiang Peoples R China
出 版 物:《NANO ENERGY》 (纳米能源)
年 卷 期:2018年第54卷
页 面:383-389页
核心收录:
学科分类:08[工学] 0807[工学-动力工程及工程热物理] 0805[工学-材料科学与工程(可授工学、理学学位)] 0703[理学-化学] 0702[理学-物理学]
基 金:National Key Research and Development Program of China [2017YFA0205700] Natural Science Foundation of China (NSFC) [61774133, 6147409] NSFC for Innovative Research Groups
主 题:Electroluminescence Synaptic plasticity Logic functions Neuromorphic computing
摘 要:The incorporation of light into synaptic devices for neuromorphic computing with low energy consumption and high intelligence is greatly inspired by the development of optogenetics in neuroscience. However, the use of light as the outputs of synaptic devices has not been demonstrated yet, impeding the full optoelectronic integration of artificial neural systems. Here we demonstrate electroluminescent synaptic devices based on silicon nanocrystals (Si NCs) with optical outputs. These devices exhibit a series of important synaptic functionalities including paired-pulse facilitation (PPF), transition from short-term plasticity (STP) to long-term plasticity (LTP) and spike-timing-dependent plasticity (STDP). In the meantime, logic functions such as AND, OR, NAND and NOR are realized in the intercoupled Si-NC-based electroluminescent synaptic devices. The current results not only help realize the bidirectional conversion between electrical and optical signals in synaptic devices, but also contribute to the development of the in-memory computing capacity of synaptic devices.