Memristor Neural Network Circuit Based on Operant Conditioning With Immediacy and Satiety

被引：14

作者：

Sun, Junwei ^{[1
]}

Wang, Yangyang ^{[1
]}

Liu, Peng ^{[1
]}

Wang, Yanfeng ^{[1
]}

机构：

[1] Zhengzhou Univ Light Ind, Sch Elect & Informat Engn, Zhengzhou 450002, Peoples R China

来源：

IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS | 2022年 / 16卷 / 06期

基金：

中国国家自然科学基金;

关键词：

Memristors; Green products; Synapses; Electric shock; Threshold voltage; Biological neural networks; Voltage control; Immediacy; memristor; operant conditioning; satiety; SYNAPTIC PLASTICITY; BEHAVIOR; MEMORY; MODEL; MECHANISMS; REWARD;

D O I：

10.1109/TBCAS.2022.3216112

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

Most of the operant conditioning only consider the basic theory, but the influencing factors such as immediacy and satiety are ignored. In this paper, a memristor neural network circuit based on operant conditioning with immediacy and satiety is proposed. The designed circuit is mainly composed of voltage control modules, synapse modules and promotion-suppression modules. The various processes of operant conditioning theory are realized. The relationship between positive reward and negative punishment is implemented through promotion-suppression modules and synapse modules. The influence of immediacy on operant conditioning is achieved through voltage control module. The effect of satiety on operant conditioning is discussed using memristive non-volatility. The study of operant conditioning may provide a reference for smarter brain-like nerves.

引用

页码：1095 / 1105

页数：11

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