材料科学
神经形态工程学
光电子学
兴奋性突触后电位
钙钛矿(结构)
计算机科学
神经科学
抑制性突触后电位
人工神经网络
化学工程
生物
机器学习
工程类
作者
Wen Huang,Pengjie Hang,Yue Wang,Kun Wang,Shihao Han,Zerui Chen,Wenbing Peng,Yiyue Zhu,Mingsheng Xu,Yiqiang Zhang,Yanjun Fang,Xuegong Yu,Deren Yang,Xiaodong Pi
出处
期刊:Nano Energy
[Elsevier BV]
日期:2020-04-12
卷期号:73: 104790-104790
被引量:158
标识
DOI:10.1016/j.nanoen.2020.104790
摘要
Synaptic devices for neuromorphic computing have been recently on the fast track of development. One of the most prominent features of synaptic devices is their potentially ultra-low energy consumption. However, relatively large energy has always been consumed to induce the postsynaptic current (PSC) of a synaptic device up to now. Here, we demonstrate that synaptic devices can work without electrical power supply by taking advantage of the photovoltaic effect during optical stimulation. The optoelectronic synaptic devices with zero-power consumption are fabricated by using the hybrid structure of organometal halide perovskite and silicon nanocrystals (Si NCs). A series of important synaptic functionalities including excitatory PSC, paired-pulse facilitation (PPF), spike-number-dependent plasticity (SNDP), spike-rate-dependent plasticity (SRDP) and dynamic filtering are all successfully mimicked. In addition, arithmetic computing such as addition, subtraction, multiplication and division is realized with the current zero-power-consumption optoelectronic synaptic devices.
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