个人信息
Personal information
教授 博士生导师
所在单位：集成电路学院
学历：研究生(博士)毕业
学位：工学博士学位
毕业院校：华中科技大学
学科：微电子学与固体电子学曾获荣誉：
2024 华中科技大学青年五四奖章
2022 华为奥林帕斯先锋奖
2020 湖北省技术发明一等奖（排名第2）
2013 湖北省年度“十大科技事件”
2013 湖北省优秀博士学位论文
2014 湖北省优秀学士学位论文指导教师
2015 华中科技大学教师教学竞赛二等奖
2017 华中科技大学光学与电子信息学院“我最喜爱的教师班主任“
2020 华中科技大学光学与电子信息学院突出贡献一等奖
论文类型：期刊论文
第一作者：Zhong,Yingpeng,李祎
通讯作者：缪向水
合写作者：缪向水,程晓敏,童浩,孙华军,Wang,Qing,Xu,Lei,Zhang,Jinjian
发表刊物：SCIENTIFIC REPORTS
所属单位：华中科技大学
学科门类：工学
一级学科：电子科学与技术
文献类型：J
DOI码：10.1038/srep04906
发表时间：4173-12-01
摘要：Nanoscale inorganic electronic synapses or synaptic devices, which are capable ofemulating the functions of biological synapses of brain neuronal systems, are regarded as the basic building blocks for beyond-Von Neumann computing architecture, combining information storage and processing. Here, we demonstrate a Ag/AgInSbTe/Ag structure for chalcogenide memristor-based electronic synapses. The memristive characteristics with reproducible gradual resistance tuning are utilised to mimic the activity-dependent synaptic plasticity that serves as the basis of memory and learning. Bidirectional long-term Hebbian plasticity modulation is implemented by the coactivity of pre- and postsynaptic spikes, and the sign and degree are affected by assorted factors including the temporal difference, spike rate and voltage. Moreover, synaptic saturation is observed to be an adjustment of Hebbian rules to stabilise the growth of synaptic weights. Our results may contribute to the development ofhighly functional plastic electronic synapses and the further construction of next-generation parallel neuromorphic computing architecture.
发布期刊链接：https://www.nature.com/articles/srep04906