Memristor-Based Neural Network Circuit of Associative Memory With Occasion Setting

被引:3
|
作者
Han, Juntao [1 ]
Cheng, Xin [1 ]
Xie, Guangjun [1 ]
Sun, Junwei [2 ]
Liu, Gang [3 ]
Zhang, Zhang [1 ]
机构
[1] Hefei Univ Technol, Sch Microeletron, Hefei 230601, Peoples R China
[2] Zhengzhou Univ Light Ind, Sch Elect & Informat Engn, Zhengzhou 450002, Peoples R China
[3] Shanghai Jiao Tong Univ, Sch Elect Informat & Elect Engn, Shanghai 200240, Peoples R China
基金
中国国家自然科学基金;
关键词
Associative memory; Presses; Memristors; Synapses; Switches; Mice; Biological neural networks; classical conditioning; memristor; occasion setting; operant conditioning; EMOTION MODEL; DESIGN; GO;
D O I
10.1109/TCDS.2023.3321137
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Classical and operant conditioning are rarely studied together in the neural network based on memristor. But in real life, they often happen at the same time. This article proposes a neural network circuit based on the memristor of associative memory with occasion setting. The designed circuit includes four modules: 1) an operant synapse module; 2) a response module; 3) a classical synapse module; and 4) a perceptron module. The first two modules constitute operant conditioning, and the remaining two modules constitute classical conditioning. The designed circuit combines operant conditioning with classical conditioning to realize a special associative memory through an occasion setting. Besides, it implements the function of learning, forgetting, and long-term memory on the basis of associative memory with occasion setting. The neural network circuit of associative memory with occasion setting is closer to the real situation and provides a reference for classical and operant conditioning.
引用
收藏
页码:1016 / 1026
页数:11
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