Memristor-Based Circuit Design of Biological Behavior Chain

Currently, studies on memristor-based operant conditioning circuits concentrate on the learning process of the single behaviors, without attention to the chaining process composed of multiple behaviors. This paper proposes a memristor-based circuit design of biological behavior chain, which consists of behavior modules, learning modules, delay modules, and satiety modules. After learning, the mouse can complete a chain process consisting of three behaviors: pressing button A to eliminate electrical stimulation, pressing button B to obtain food, and pressing button C to open the cage. Behavior and delay modules are used to simulate these three behaviors, the learning module is used to simulate the learning process of chaining between two behaviors and chaining between three behaviors. In addition, the study also explored the effects of mouse satiety on the experiment, as well as processes such as natural forgetting and relearning. The simulation results in PSPICE indicate that the circuit is capable of effectively simulating the aforementioned functions. Furthermore, Monte Carlo analysis and temperature simulation analysis are conducted on the circuit. The simulation results confirm that the circuit exhibits good stability.

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Publication Details

Journal
IEEE Transactions on Circuits and Systems I Regular Papers
Published
2024-12-04
DOI
https://doi.org/10.1109/tcsi.2024.3504406
Citations
4
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
0.83

Funders

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article

Memristor-Based Circuit Design of Biological Behavior Chain

Ren Cai, Le Yang, Sai Li, Ming Cheng et al.
4 citations
IEEE Transactions on Circuits and Systems I Regular Papers
Advanced Memory and Neural Computing
0.83
article

Memristor-Based Circuit Design of Biological Behavior Chain

Ren Cai, Le Yang, Sai Li, Ming Cheng, Zhigang Zeng, Zhixia Ding
article en
4 citations

Abstract

Currently, studies on memristor-based operant conditioning circuits concentrate on the learning process of the single behaviors, without attention to the chaining process composed of multiple behaviors. This paper proposes a memristor-based circuit design of biological behavior chain, which consists of behavior modules, learning modules, delay modules, and satiety modules. After learning, the mouse can complete a chain process consisting of three behaviors: pressing button A to eliminate electrical stimulation, pressing button B to obtain food, and pressing button C to open the cage. Behavior and delay modules are used to simulate these three behaviors, the learning module is used to simulate the learning process of chaining between two behaviors and chaining between three behaviors. In addition, the study also explored the effects of mouse satiety on the experiment, as well as processes such as natural forgetting and relearning. The simulation results in PSPICE indicate that the circuit is capable of effectively simulating the aforementioned functions. Furthermore, Monte Carlo analysis and temperature simulation analysis are conducted on the circuit. The simulation results confirm that the circuit exhibits good stability.

IEEE Transactions on Circuits and Systems I Regular PapersVol. 72(8)
Huazhong University of Science and Technology (CN), Wuhan Institute of Technology (CN)
National Natural Science Foundation of China, Institute of Innovative Research, Tokyo Institute of Technology
Affordable and clean energy
Openalex Percentile: Top 26%
Advanced Memory and Neural Computing
0.83
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