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基于忆阻的全功能巴甫洛夫联想记忆电路的设计、实现与分析

董哲康 钱智凯 周广东 纪晓悦 齐冬莲 赖俊升

董哲康, 钱智凯, 周广东, 纪晓悦, 齐冬莲, 赖俊升. 基于忆阻的全功能巴甫洛夫联想记忆电路的设计、实现与分析[J]. 电子与信息学报, 2022, 44(6): 2080-2092. doi: 10.11999/JEIT210376
引用本文: 董哲康, 钱智凯, 周广东, 纪晓悦, 齐冬莲, 赖俊升. 基于忆阻的全功能巴甫洛夫联想记忆电路的设计、实现与分析[J]. 电子与信息学报, 2022, 44(6): 2080-2092. doi: 10.11999/JEIT210376
DONG Zhekang, QIAN Zhikai, ZHOU Guangdong, JI Xiaoyue, QI Donglian, LAI Junsheng. Memory Circuit Design, Implementation and Analysis Based on Memristor Full-function Pavlov Associative[J]. Journal of Electronics & Information Technology, 2022, 44(6): 2080-2092. doi: 10.11999/JEIT210376
Citation: DONG Zhekang, QIAN Zhikai, ZHOU Guangdong, JI Xiaoyue, QI Donglian, LAI Junsheng. Memory Circuit Design, Implementation and Analysis Based on Memristor Full-function Pavlov Associative[J]. Journal of Electronics & Information Technology, 2022, 44(6): 2080-2092. doi: 10.11999/JEIT210376

基于忆阻的全功能巴甫洛夫联想记忆电路的设计、实现与分析

doi: 10.11999/JEIT210376
基金项目: 国家自然科学基金(62001149),浙江省自然科学基金(LQ21F010009)
详细信息
    作者简介:

    董哲康:男,1989年生,副教授,研究方向为忆阻理论、基于忆阻神经形态系统

    钱智凯:男,1996年生,硕士生,研究方向为忆阻理论、基于忆阻神经形态系统

    周广东:男,1986年生,教授,研究方向为忆阻制备及其物理机制研究、基于忆阻神经形态系统

    纪晓悦:女,1993年生,博士生,研究方向为忆阻理论、基于忆阻器的神经形态系统

    齐冬莲:女,1973年生,教授,研究方向为忆阻器理论、基于忆阻器的非线性系统

    赖俊升:男,1991年生,助理教授,研究方向为非线性系统、神经形态系统

    通讯作者:

    纪晓悦 ji.xiaoyue@zju.edu.cn

  • 中图分类号: TN601; TP183

Memory Circuit Design, Implementation and Analysis Based on Memristor Full-function Pavlov Associative

Funds: The National Natural Science Foundation of China (62001149), Natural Science Foundation of Zhejiang Province (LQ21F010009)
  • 摘要: 联想记忆是一种描述生物学习和遗忘过程的重要机制,对构建神经形态计算系统和模拟类脑功能有重要的意义,设计并实现联想记忆电路成为人工神经网络领域内的研究热点。巴甫洛夫条件反射实验作为联想记忆的经典案例之一,其硬件电路的实现方案仍然存在电路设计复杂、功能不完善以及过程描述不清晰等问题。基于此,该文融合经典的条件反射理论和纳米科学技术,提出一种基于忆阻的全功能巴甫洛夫联想记忆电路。首先,基于水热合成法和磁控溅射法制备了Ag/TiOx nanobelt/Ti结构的忆阻器,通过电化学工作站、四探针测试台和透射电子显微镜联合完成相应的性能测试;接着,利用测试得到的电化学数据,构建了Ag/TiOx nanobelt/Ti忆阻器的数学模型和SPICE电路模型,并通过客观评价验证模型的精确度;进一步,基于提出的Ag/TiOx nanobelt/Ti忆阻器模型,设计了一种全功能巴甫洛夫联想记忆电路,通过电路描述和功能分析,论述了该电路能够正确模拟巴甫洛夫实验中2类学习过程和3类遗忘过程;最后,通过一系列计算机仿真和分析,验证了所提方案的正确性和有效性。
  • 图  1  Ag/TiOx nanobelt/Ti忆阻器的制备过程

    图  2  Ag/TiOx nanobelt/Ti忆阻器的性能测试

    图  3  Ag/TiOx nanobelt/Ti忆阻器建模

    图  4  基于忆阻的全功能巴甫洛夫联想记忆电路

    图  5  情况1(初始状态)的电路仿真结果

    图  6  情况2(L1)的电路仿真结果

    图  7  情况3(F1)的电路仿真结果

    图  8  情况4(L1)的电路仿真结果

    图  9  情况5(F2)的电路仿真结果

    图  10  情况6(L2)的电路仿真结果

    图  11  情况7(F3)的电路仿真结果

    表  1  巴甫洛夫联想记忆电路的对比信息汇总

    性能文献[7]文献[8,9,12,13]文献[10,11]文献[14]文献[15]文献[16]文献[17,18,19]本文工作
    实物支撑
    功能完备性一类学习
    无遗忘
    一类学习
    一类遗忘
    一类学习
    一类遗忘
    一类学习
    无遗忘
    两类学习
    一类遗忘
    两类学习
    两类遗忘
    两类学习
    三类遗忘
    两类学习
    三类遗忘
    电路复杂度简单简单简单中等复杂中等复杂中等
    生物特性
    下载: 导出CSV

    表  2  Ag/TiOx nanobelt/Ti忆阻器SPICE模型子电路描述

    * Ag/TiOx nanobelt/Ti memristor
    .SUBCKT IJBCMEM Plus Minus PARAMS:
    +kL=-6 AlphaL=2 aL=-1 wL=2 a1=0.22 b1=-0.38 c1=0.166 d1=9.96E-05 kH=3E-3 AlphaH=4 aH=-1 wH=1
    +a2=0.22 b2=-10 b2=-10 c2=8.15 d2=3E-08 Vth1=0 Vth2=0
    ****************Differential equation mode***************
    Gx 0 x value={F(V(x),V(Plus,Minus),aL,aH,wL,wH,kL,kH,AlphaL,AlphaH)}
    Cx x 0 1 IC={0}
    Raux x 0 1T
    ***********************Ohms law***********************
    Gm Plus Minus value={IVRel(V(x),V(Plus,Minus),a1,a2,b1,b2,c1,c2,d1,d2)}
    ***********************Functions***********************
    .func f1(x,v,kL,AlphaL,aL,wL)={kL*v^AlphaL*exp(-exp(aL*x+wL))}
    .func f2(x,v,kH,AlphaH,aH,wH)={kH*v^AlphaH*exp(-exp(aH*x+wH))}
    .func f3(x,v,a1,b1,c1,d1)={a1*x*exp(b1*x^3+c1)*sinh(d1*(v)^3)}
    .func f4(x,v,a2,b2,c2,d2)={a2*x*exp(b2*x^3+c2)*sinh(d2*(v)^3)}
    .func F(x,v,aL,aH,wL,wH,kL,kH,AlphaL,AlphaH)={if(v<Vth1,f1(x,v,kL,AlphaL,aL,wL),
    +if(v>Vth2,f2(x,v,kH,AlphaH,aH,wH),0))}
    .func IVRel(x,v,a1,a2,b1,b2,c1,c2,d1,d2)={if(v<Vth1,f3(x,v,a1,b1,c1,d1),if(v>Vth2,f4(x,v,a2,b2,c2,d2),0))}
    ENDS Ag/TiOx nanobelt/Ti memristor
    下载: 导出CSV

    表  3  巴甫洛夫联想记忆信息汇总

    学习过程遗忘过程
        /        /        /
      
    下载: 导出CSV
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出版历程
  • 收稿日期:  2021-04-30
  • 修回日期:  2021-08-26
  • 网络出版日期:  2021-09-15
  • 刊出日期:  2022-06-21

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