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Breakthrough in Neuromorphic Technology: Mimicking Biological Learning with Optoelectronic Memristor

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  • 2024-03-13
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Research team of Professor Nam-young Kim (Department of Electronic Engineering) successfully develops neuromorphic behavior recognition optoelectronic memristors that mimics biological associative learning behaviors

 

- Published in Nano-Micro Letters, a prestigious international journal with JCR 1% Q1, IF: 23.655 -

- Successful development of neuromorphic optoelectronic memristors mimicking biological associative learning behaviors -

 

The research team of Professor Nam-young Kim, together with doctoral candidate Munhyo Wang (first author) of the Department of Electronic Engineering has successfully developed the neuromorphic optoelectronic memristors that mimic biological associative learning behaviors.

 

<(좌) 왕문효 박사과정 연구원 (우) 김남영 교수>

[Left: Munhyo Wang, Doctoral Candidate, Right: Professor Nam-young Kim]

 

광전자 멤리스터의 개념 설계 및 구조적 특성 및 꿀벌의 프로보시스 확장 반응의 개략도

[Conceptual design and structural characteristics of optoelectronic memristors and schematic of the honeybee proboscis extension response]

 

The research was supported by the National Research Foundation of Korea (NRF) as part of the Ministry of Education's key research laboratory support project (2018R1A6A1A0302524) and MIST RS-2023-00302751. In recognition of their achievements, the research results were published in Nano-Micro Letters, the international prestigious journal by Elsevier, with an Impact Factor (IF) of 23.655, titled "Tailoring classical conditioning behavior in TiO2 NWs: ZnO QDs-based optoelectronic memristors for neuromorphic hardware." on February 27, 2024.

(https://doi.org/10.1007/s40820-024-01338-z)