Emotion model of associative memory possessing variable learning rates with time delay

被引:36
作者
Yang, Linmao [1 ]
Wang, Chunhua [1 ]
机构
[1] Hunan Univ, Coll Comp Sci & Elect Engn, Changsha 410082, Hunan, Peoples R China
基金
中国国家自然科学基金;
关键词
Associative memory; Neural network; Variable learning rate; Time delay; Emotion model; NEURAL-NETWORKS; MEMRISTOR; SYNCHRONIZATION; CIRCUIT;
D O I
10.1016/j.neucom.2021.07.011
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Lots of researchers have used memristors to realize the emotion model of associative memory. In previous works, researchers analyzed this associative memory from two perspectives-forgetting and variable learning rate. In the previous emotion model, neutral stimulus(message notification) and unconditioned reflex(good or bad message) were applied simultaneously. But the variable learning rate with time delay is not considered in the emotion model. When the unconditioned reflex lags behind the neutral stimulus, the associative memory can also be formed. This article proposes an emotion model of variable learning rate with time delay. We also consider three kinds of forgetting: only a stimulus of unconditioned reflex applied, only a neutral stimulus applied and neither stimulus of unconditioned reflex nor neutral stimulus applied. In the end, the software PSPICE is used to simulate the whole circuit. This paper provides an option to realize emotional learning based on memristor. (c) 2021 Elsevier B.V. All rights reserved.
引用
收藏
页码:117 / 125
页数:9
相关论文
共 41 条
  • [1] Early processing of the six basic facial emotional expressions
    Batty, M
    Taylor, MJ
    [J]. COGNITIVE BRAIN RESEARCH, 2003, 17 (03): : 613 - 620
  • [2] Biolek Z, 2009, RADIOENGINEERING, V18, P210
  • [3] MEMRISTOR - MISSING CIRCUIT ELEMENT
    CHUA, LO
    [J]. IEEE TRANSACTIONS ON CIRCUIT THEORY, 1971, CT18 (05): : 507 - +
  • [4] Image segmentation encryption algorithm with chaotic sequence generation participated by cipher and multi-feedback loops
    Deng, Jie
    Zhou, Minjun
    Wang, Chunhua
    Wang, Sicheng
    Xu, Cong
    [J]. MULTIMEDIA TOOLS AND APPLICATIONS, 2021, 80 (09) : 13821 - 13840
  • [5] Four-Wing Hidden Attractors with One Stable Equilibrium Point
    Deng, Quanli
    Wang, Chunhua
    Yang, Linmao
    [J]. INTERNATIONAL JOURNAL OF BIFURCATION AND CHAOS, 2020, 30 (06):
  • [6] A comparison of the discrete and dimensional models of emotion in music
    Eerola, Tuomas
    Vuoskoski, Jonna K.
    [J]. PSYCHOLOGY OF MUSIC, 2011, 39 (01) : 18 - 49
  • [7] Modeling affections with memristor-based associative memory neural networks
    Hu, Xiaofang
    Duan, Shukai
    Chen, Guanrong
    Chen, Ling
    [J]. NEUROCOMPUTING, 2017, 223 : 129 - 137
  • [8] The elusive memristor: properties of basic electrical circuits
    Joglekar, Yogesh N.
    Wolf, Stephen J.
    [J]. EUROPEAN JOURNAL OF PHYSICS, 2009, 30 (04) : 661 - 675
  • [9] Memristor Emulator for Memristor Circuit Applications
    Kim, Hyongsuk
    Sah, Maheshwar Pd.
    Yang, Changju
    Cho, Seongik
    Chua, Leon O.
    [J]. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS, 2012, 59 (10) : 2422 - 2431
  • [10] VTEAM: A General Model for Voltage-Controlled Memristors
    Kvatinsky, Shahar
    Ramadan, Misbah
    Friedman, Eby G.
    Kolodny, Avinoam
    [J]. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS, 2015, 62 (08) : 786 - 790