Proton-enabled activation of peptide materials for biological bimodal memory
2020 · Nature Communications
저자
Min‐Kyu Song, Seok Daniel Namgung, Daehwan Choi, Hyeohn Kim, Hongmin Seo, Misong Ju, Yoon Ho Lee, Taehoon Sung, Yoon‐Sik Lee, 남기태 (Ki Tae Nam), Jang‐Yeon Kwon
연구주제
Advanced Memory and Neural Computing · Conducting polymers and applications · Neuroscience and Neural Engineering
NTIS 과학기술표준분류
에너지/자원만에너지·환경·원자력 확장
가장 가까운 분류(재료 > 고분자재료 > 전기/전자정보용 소재기술)가 에너지·환경·원자력 확장 범위 밖이다.
AI 연구 키워드·방법
키워드 (OpenAlex)
proton conduction memristors artificial synapses humidity sensing learning and forgetting biological memory neuromorphic hardware
초록
The process of memory and learning in biological systems is multimodal, as several kinds of input signals cooperatively determine the weight of information transfer and storage. This study describes a peptide-based platform of materials and devices that can control the coupled conduction of protons and electrons and thus create distinct regions of synapse-like performance depending on the proton activity. We utilized tyrosine-rich peptide-based films and generalized our principles by demonstrating both memristor and synaptic devices. Interestingly, even memristive behavior can be controlled by both voltage and humidity inputs, learning and forgetting process in the device can be initiated and terminated by protons alone in peptide films. We believe that this work can help to understand the mechanism of biological memory and lay a foundation to realize a brain-like device based on ions an…
이 논문을 지원한 국가R&D 과제 (NTIS 성과)
| 연도 | 과제 | 부처 | 사업 | 수행기관 | NTIS 분류(1순위) |
|---|---|---|---|---|---|
| 2020 | 서울대학교 창의인재 재료교육연구단 | 교육부 | BK21플러스사업(R&D) | 서울대학교 | – |
인접 그래프
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교수 1
연구주제 1
Advanced Memory and Neural Computing