Design of the non‐associative learning memristive circuit and the application to brightness adaptation

Abstract Non‐associative learning plays an important role in the biological and cognitive systems and is one of the important pathways for unsupervised learning in biology. The proposed non‐associative learning memristive circuit is composed of a synapse module, a memristive neuron module, and a response boosting module. The circuit can simulate the characteristics of habituation and sensitization, which attenuates the output response when receiving repeated input stimuli and augments the output response when receiving strong input stimuli, and the circuit also has a certain anti‐interference ability. Additionally, the designed circuit is suitable for adaptive replication experiments in visual systems and automatic exposure compensation systems, demonstrating the practicality of the circuit.

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Publication Details

Journal
International Journal of Circuit Theory and Applications
Published
2024-08-19
DOI
https://doi.org/10.1002/cta.4255
Citations
1
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
0.21
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article

Design of the non‐associative learning memristive circuit and the application to brightness adaptation

Chong Zhang, Mi Lin, Xuanxuan Zhou, Zhangzhi Zhou
1 citations
International Journal of Circuit Theory and Applications
Advanced Memory and Neural Computing
0.21
article

Design of the non‐associative learning memristive circuit and the application to brightness adaptation

Chong Zhang, Mi Lin, Xuanxuan Zhou, Zhangzhi Zhou
article en
1 citations

Abstract

Abstract Non‐associative learning plays an important role in the biological and cognitive systems and is one of the important pathways for unsupervised learning in biology. The proposed non‐associative learning memristive circuit is composed of a synapse module, a memristive neuron module, and a response boosting module. The circuit can simulate the characteristics of habituation and sensitization, which attenuates the output response when receiving repeated input stimuli and augments the output response when receiving strong input stimuli, and the circuit also has a certain anti‐interference ability. Additionally, the designed circuit is suitable for adaptive replication experiments in visual systems and automatic exposure compensation systems, demonstrating the practicality of the circuit.

International Journal of Circuit Theory and ApplicationsVol. 53(4)
Hangzhou Dianzi University (CN)
Openalex Percentile: Top 49%
Advanced Memory and Neural Computing
0.21
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