孙华军

个人信息

Personal information

教授     博士生导师     硕士生导师

性别:男

在职信息:在职

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:中国科学院上海光机所

学科:微电子学与固体电子学
曾获荣誉:
2022    Wiley中国开放科学高贡献作者
2019    2019年北京市技术发明一等奖
2018    2018校级创新创业优秀指导老师
2017    Lam Research微电子论文奖1次
2017    指导的研究生获得国家奖学金3人次
2020    2017,2018,2020年获得校级优秀教师班主任3次

Activity-Dependent Synaptic Plasticity of a Chalcogenide Electronic Synapse for Neuromorphic Systems
发布时间:2023-08-21  点击次数:

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