SNU CBE

Interfacing with the Brain: How Nanotechnology Can Contribute

2025 · ACS Nano

저자

Abdullah Ahmed Ali Ahmed, Núria Alegret, Bethany Almeida, Ramón A. Álvarez‐Puebla, Anne Milasincic Andrews, Laura Ballerini, Juan J. Barrios‐Capuchino, Charline Becker, Robert H. Blick, Shahin Bonakdar, Indranath Chakraborty, Xiaodong Chen, Jinwoo Cheon, Gerwin Chilla, A.L.C. Conceição, James B. Delehanty, Martin Dulle, Alexander L. Efros, Matthias Epple, Mark Fedyk, Neus Feliu, Miao Feng, Rafael Fernández‐Chacón, Irene Fernandez‐Cuesta, Niels Fertig 외 72명

연구주제

Neuroscience and Neural Engineering

NTIS 과학기술표준분류

가장 가까운 분류(뇌과학 > 뇌공학 > 뇌-기계 인터페이스)가 화학·화공 범위 밖이다. 배정 근거: AI 키워드가 잡은 NTIS 과제의 분류.

AI 연구 키워드·방법

brain machine interface nanotechnology 신경 인터페이스 neurotechnology

키워드 (OpenAlex)

brain-computer interface nanotechnology neurotechnology nanomaterials nanotools biomolecular assemblies

초록

Interfacing artificial devices with the human brain is the central goal of neurotechnology. Yet, our imaginations are often limited by currently available paradigms and technologies. Suggestions for brain-machine interfaces have changed over time, along with the available technology. Mechanical levers and cable winches were used to move parts of the brain during the mechanical age. Sophisticated electronic wiring and remote control have arisen during the electronic age, ultimately leading to plug-and-play computer interfaces. Nonetheless, our brains are so complex that these visions, until recently, largely remained unreachable dreams. The general problem, thus far, is that most of our technology is mechanically and/or electrically engineered, whereas the brain is a living, dynamic entity. As a result, these worlds are difficult to interface with one another. Nanotechnology, which encomp…

이 논문을 지원한 국가R&D 과제 (NTIS 성과)

NTIS 성과DB(2020–24)에서 DOI 매칭 없음

인접 그래프

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

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교수 2

현택환 · 김대형

연구주제 1

Neuroscience and Neural Engineering

키워드 1

신경 인터페이스