晶体管
皮质电图
多路复用
计算机科学
多电极阵列
场效应晶体管
足迹
微电极
材料科学
石墨烯
电子工程
纳米技术
电气工程
电压
电极
脑电图
工程类
物理
神经科学
电信
生物
量子力学
古生物学
作者
Nathan Schaefer,Ramon Garcia‐Cortadella,Javier Martínez-Aguilar,Gerrit Schwesig,Xavi Illa,Ana Moya Lara,Sara Santiago,Clément Hébert,Gonzalo Guirado,Rosa Villa,Anton Sirota,Anton Guimerà‐Brunet,José A. Garrido
出处
期刊:2D materials
[IOP Publishing]
日期:2020-02-24
卷期号:7 (2): 025046-025046
被引量:31
标识
DOI:10.1088/2053-1583/ab7976
摘要
Electrocorticography (ECoG) is a well-established technique to monitor electrophysiological activity from the surface of the brain and has proved crucial for the current generation of neural prostheses and brain–computer interfaces. However, existing ECoG technologies still fail to provide the resolution necessary to accurately map highly localized activity across large brain areas, due to the rapidly increasing size of connector footprint with sensor count. This work demonstrates the use of a flexible array of graphene solution-gated field-effect transistors (gSGFET), exploring the concept of multiplexed readout using an external switching matrix. This approach does not only allow for an increased sensor count, but due to the use of active sensing devices (i.e. transistors) over microelectrodes it makes additional buffer transistors redundant, which drastically eases the complexity of device fabrication on flexible substrates. The presented results pave the way for upscaling the gSGFET technology towards large-scale, high-density μECoG–arrays, eventually capable of resolving neural activity down to a single neuron level, while simultaneously mapping large brain regions.
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