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Memristor-Based Sensitization Nonassociative Learning Circuit and Its Application in Overheat Protection of Industrial Robots

delete2026-06-11
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PRE
AI
J
Junwei Sun
M
Mengfan Wu
Z
Zicheng Wang
Y
Yanfeng Wang
DOI:10.1109/TII.2026.3676267delete
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Abstract

Abstract

En 中文
Most memristor-based nonassociative learning circuits only focus on habituation, while neglecting the research of sensitization and secondary sensitization. Therefore, this article designs a memristor-based sensitization learning circuit, which mainly consists of a habituation module, sensitization module, voltage control module, and secondary sensitization module. After receiving the signal from the voltage module, the habituation module and the sensitization module implement their functions, respectively. Second, this study investigates the influence of voltage stimuli on the formation rates of habituation and sensitization. Moreover, the functions of secondary sensitization and long/short-term sensitization processes have been successfully realized through the synergistic effect of the sensitization module and the secondary sensitization module. Finally, PSPICE software is used to verify the correctness of the design. The outcomes of simulations demonstrate that the circuit is capable of simulating the complex biological mechanisms mentioned earlier. Meanwhile, the circuit also realizes the application simulation of overheating protection for industrial equipment.
Keywords:
Long/short-term sensitization
memristor
neuromorphic circuit
overheating protection
secondary sensitization

Journal

IEEE Transactions on Industrial Informatics cover
IEEE Transactions on Industrial Informatics
IF:
9.9
Papers:
8.3K
Citations:
6.0W

Organization

Z
zhengzhou university of light industry
Scholars:
1.0K
Papers: 307
Citations: 0
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