Memristor-Based Operant Conditioning Neural Network Circuit With Emotion Transmission and Secondary Conditioned Reflex

Operant conditioning (OC) and secondary conditioning are two important mechanisms for organisms to adapt to external environments. However, most memristor-based neural network circuits only consider a single OC. The secondary conditioned reflex process that occurs on the basis of OC during actual animal training are ignored. On the basis of memristors, the operant conditioning neural network circuit with emotion transmission and secondary conditioned reflex is designed. After OC learning, organisms respond to the first conditioned stimulus. On this basis, another conditioned stimulus is introduced and secondary conditioned reflex is indirectly established. Additionally, the phenomenon of emotion transmission and the effect of emotion on associative memory are considered. The designed circuit mainly consists of delay module, voltage control module, emotion transmission module and synaptic module. The implementation of the secondary conditioned reflex process based on OC is achieved through the delay module, voltage control module and synaptic module. Emotion transmission and the influence of emotion on associative memory are realized by emotion transmission module and voltage control module. The PSPICE simulation results confirm the implementation of the above functions. This circuit provides more references for the further development of brain-like technology.

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Publication Details

Journal
IEEE Transactions on Circuits and Systems I Regular Papers
Published
2025-03-26
DOI
https://doi.org/10.1109/tcsi.2025.3552459
Citations
6
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
4.38

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article

Memristor-Based Operant Conditioning Neural Network Circuit With Emotion Transmission and Secondary Conditioned Reflex

Yingcong Wang, Junwei Sun, Yu Chen, Yanfeng Wang
6 citations
IEEE Transactions on Circuits and Systems I Regular Papers
Advanced Memory and Neural Computing
4.38
article

Memristor-Based Operant Conditioning Neural Network Circuit With Emotion Transmission and Secondary Conditioned Reflex

Yingcong Wang, Junwei Sun, Yu Chen, Yanfeng Wang
article en
6 citations

Abstract

Operant conditioning (OC) and secondary conditioning are two important mechanisms for organisms to adapt to external environments. However, most memristor-based neural network circuits only consider a single OC. The secondary conditioned reflex process that occurs on the basis of OC during actual animal training are ignored. On the basis of memristors, the operant conditioning neural network circuit with emotion transmission and secondary conditioned reflex is designed. After OC learning, organisms respond to the first conditioned stimulus. On this basis, another conditioned stimulus is introduced and secondary conditioned reflex is indirectly established. Additionally, the phenomenon of emotion transmission and the effect of emotion on associative memory are considered. The designed circuit mainly consists of delay module, voltage control module, emotion transmission module and synaptic module. The implementation of the secondary conditioned reflex process based on OC is achieved through the delay module, voltage control module and synaptic module. Emotion transmission and the influence of emotion on associative memory are realized by emotion transmission module and voltage control module. The PSPICE simulation results confirm the implementation of the above functions. This circuit provides more references for the further development of brain-like technology.

IEEE Transactions on Circuits and Systems I Regular PapersVol. 72(10)
Zhengzhou University of Light Industry (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 6%
Advanced Memory and Neural Computing
4.38
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Memristor-Based Operant Conditioning Neural Network Circuit With Emotion Transmission and Secondary Conditioned Reflex — Yingcong Wang, Junwei Sun, et al. · IEEE Transactions on Circuits and Systems I Regular Papers (2025) | TGRS Research Map | TGRS