SNUEI

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

인공 시냅스 펩타이드 멤리스터 양성자 전도

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)

연도과제부처사업수행기관NTIS 분류(1순위)
2020서울대학교 창의인재 재료교육연구단교육부BK21플러스사업(R&D)서울대학교–

인접 그래프

노드 hover = 이웃 강조 · 1회 클릭 = 고정 · 고정된 노드 다시 클릭 = 페이지 이동

이 문서와 연결된 페이지

교수 1

남기태

연구주제 1

Advanced Memory and Neural Computing

키워드 3

인공 시냅스 · 양성자 전도 · 펩타이드 멤리스터