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用于大规模神经记录的基于互补金属氧化物半导体(CMOS)器件的新方法。

New approaches for CMOS-based devices for large-scale neural recording.

作者信息

Ruther Patrick, Paul Oliver

机构信息

Department of Microsystems Engineering (IMTEK), University of Freiburg, Georges-Koehler-Allee 103, 79110 Freiburg, Germany.

Department of Microsystems Engineering (IMTEK), University of Freiburg, Georges-Koehler-Allee 103, 79110 Freiburg, Germany.

出版信息

Curr Opin Neurobiol. 2015 Jun;32:31-7. doi: 10.1016/j.conb.2014.10.007. Epub 2014 Oct 30.

Abstract

Extracellular, large scale in vivo recording of neural activity is mandatory for elucidating the interaction of neurons within large neural networks at the level of their single unit activity. Technological achievements in MEMS-based multichannel electrode arrays offer electrophysiological recording capabilities that go far beyond those of classical wire electrodes. Despite their impressive channel counts, recording systems with modest interconnection overhead have been demonstrated thanks to the hybrid integration of CMOS circuitry for signal preprocessing and data handling. The number of addressable channels is increased even further by a switch matrix for electrode selection co-integrated along the slender probe shafts. When realized by IC fabrication technologies, these probes offer highest recording site densities along the entire shaft length.

摘要

为了在单个单元活动水平上阐明大型神经网络内神经元之间的相互作用,对神经活动进行细胞外大规模体内记录是必不可少的。基于微机电系统(MEMS)的多通道电极阵列的技术成就提供了远远超越传统线电极的电生理记录能力。尽管通道数量令人印象深刻,但由于用于信号预处理和数据处理的CMOS电路的混合集成,已经展示了具有适度互连开销的记录系统。沿着细长的探头轴共同集成的用于电极选择的开关矩阵进一步增加了可寻址通道的数量。当通过集成电路制造技术实现时,这些探头在整个轴长度上提供最高的记录位点密度。

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