Memristive Circuit Design of Brain-Like Emotional Learning and Generation

被引:35
|
作者
Wang, Zilu [1 ]
Wang, Xiaoping [1 ]
Zeng, Zhigang [1 ]
机构
[1] Huazhong Univ Sci & Technol, Sch Artificial Intelligence & Automat, Key Lab Image Proc & Intelligent Control, Wuhan 430074, Peoples R China
基金
中国国家自然科学基金;
关键词
Memristors; Neurons; Brain; Synapses; Limbic system; Integrated circuit modeling; Biological system modeling; 2-D emotional space; circuit implementation; emotional learning and generation; limbic system; memristor; LONG-TERM POTENTIATION; MODEL; SENTIMENT; MECHANISM; AMYGDALA; MEMORY;
D O I
10.1109/TCYB.2021.3090811
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this work, a bionic memristive circuit with the functions of emotional learning and generation is proposed, which can perform brain-like emotional learning and generation based on various types of input information. The proposed circuit is designed based on the brain emotional learning theory in the limbic system, which mainly includes three layers of design: 1) the bottom layer is the design of the basic unit modules, such as neuron and synapse; 2) the middle layer is the design of the functional modules related to emotional learning in the limbic system, such as the amygdala, thalamus, and so on; and 3) the top layer is the design of the overall circuit, which is used to realize the function of the emotional generation. A 2-D emotional space composed of valence and arousal signals is adopted. According to the above bottom-up circuit design method, the valence and arousal signals can be generated, respectively, by designing corresponding emotional learning circuits, so as to form continuous emotions. The volatile and nonvolatile memristors are mainly used to mimic the functions of the neuron and synapse at the bottom layer of the circuit to achieve the core emotional learning function of the middle layer, thereby constructing a brain-like information processing architecture to realize the function of the emotional generation in the top layer. The simulation results in PSPICE show that the proposed circuit can learn and generate emotions like humans. If the proposed circuit is applied to a humanoid robot platform through further research, the robot may have the ability of personalized emotional interaction with humans, so that it can be effectively used in emotional companionship and other aspects.
引用
收藏
页码:222 / 235
页数:14
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