SNU CBE

A high-density, high-channel count, multiplexed μECoG array for auditory-cortex recordings

2014 · Journal of Neurophysiology

저자

Monty A. Escabı́, Heather L. Read, Jonathan Viventi, 김대형 (Dae‐Hyeong Kim), Nathan C. Higgins, Douglas A. Storace, Andrew Liu, Adam M. Gifford, John F. Burke, Matthew Campisi, Yun‐Soung Kim, Andrew E. Avrin, Van Der Spiegel Jan, Yonggang Y. Huang, Ming Li, Jian Wu, John A. Rogers, Brian Litt, Yale E. Cohen

연구주제

Neuroscience and Neural Engineering

NTIS 과학기술표준분류

가장 가까운 분류(뇌과학 > 뇌공학)가 화학·화공 범위 밖이다. 배정 근거: 지원 과제·키워드 근거가 없어 AI가 논문 제목·초록을 읽고 고른 분류.

AI 연구 키워드·방법

active electrode array auditory cortex recording micro electrocorticography array

intrinsic optical imaging

키워드 (OpenAlex)

auditory cortex tonotopic organization spectrotemporal receptive fields intrinsic signal imaging cortical mapping

초록

Our understanding of the large-scale population dynamics of neural activity is limited, in part, by our inability to record simultaneously from large regions of the cortex. Here, we validated the use of a large-scale active microelectrode array that simultaneously records 196 multiplexed micro-electrocortigraphical (μECoG) signals from the cortical surface at a very high density (1,600 electrodes/cm(2)). We compared μECoG measurements in auditory cortex using a custom "active" electrode array to those recorded using a conventional "passive" μECoG array. Both of these array responses were also compared with data recorded via intrinsic optical imaging, which is a standard methodology for recording sound-evoked cortical activity. Custom active μECoG arrays generated more veridical representations of the tonotopic organization of the auditory cortex than current commercially available passiv…

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

이 문서와 연결된 페이지

교수 1

김대형

연구주제 1

Neuroscience and Neural Engineering