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SiNAPS:一种用于同时进行大规模神经记录的植入式有源像素传感器 CMOS 探头。

SiNAPS: An implantable active pixel sensor CMOS-probe for simultaneous large-scale neural recordings.

机构信息

Fondazione Istituto Italiano di Tecnologia (IIT), NetS3 Lab, Genova, Italy.

Fondazione Istituto Italiano di Tecnologia (IIT), NetS3 Lab, Genova, Italy.

出版信息

Biosens Bioelectron. 2019 Feb 1;126:355-364. doi: 10.1016/j.bios.2018.10.032. Epub 2018 Oct 19.

DOI:10.1016/j.bios.2018.10.032
PMID:30466053
Abstract

Large-scale neural recordings with high spatial and temporal accuracy are instrumental to understand how the brain works. To this end, it is of key importance to develop probes that can be conveniently scaled up to a high number of recording channels. Despite recent achievements in complementary metal-oxide semiconductor (CMOS) multi-electrode arrays probes, in current circuit architectures an increase in the number of simultaneously recording channels would significantly increase the total chip area. A promising approach for overcoming this scaling issue consists in the use of the modular Active Pixel Sensor (APS) concept, in which a small front-end circuit is located beneath each electrode. However, this approach imposes challenging constraints on the area of the in-pixel circuit, power consumption and noise. Here, we present an APS CMOS-probe technology for Simultaneous Neural recording that successfully addresses all these issues for whole-array read-outs at 25 kHz/channel from up to 1024 electrode-pixels. To assess the circuit performances, we realized in a 0.18 μm CMOS technology an implantable single-shaft probe with a regular array of 512 electrode-pixels with a pitch of 28 μm. Extensive bench tests showed an in-pixel gain of 45.4 ± 0.4 dB (low pass, F = 4 kHz), an input referred noise of 7.5 ± 0.67 μV (300 Hz to 7.5 kHz) and a power consumption <6 μW/pixel. In vivo acute recordings demonstrate that our SiNAPS CMOS-probe can sample full-band bioelectrical signals from each electrode, with the ability to resolve and discriminate activity from several packed neurons both at the spatial and temporal scale. These results pave the way to new generations of compact and scalable active single/multi-shaft brain recording systems.

摘要

大规模的神经记录具有高空间和时间精度,对于了解大脑如何工作至关重要。为此,开发可以方便地扩展到大量记录通道的探头非常重要。尽管互补金属氧化物半导体(CMOS)多电极阵列探头最近取得了一些成就,但在当前的电路架构中,增加同时记录的通道数量会显著增加总芯片面积。克服这一扩展问题的一种有前途的方法是使用模块化有源像素传感器(APS)概念,其中小的前端电路位于每个电极下方。然而,这种方法对像素内电路的面积、功耗和噪声提出了具有挑战性的限制。在这里,我们提出了一种用于同时神经记录的 APS CMOS 探头技术,该技术成功地解决了所有这些问题,可实现高达 1024 个电极像素的整个阵列以 25 kHz/通道的速度进行全阵列读出。为了评估电路性能,我们在 0.18 μm CMOS 技术中实现了一种带有 512 个电极像素的规则阵列的植入式单轴探头,其像素间距为 28 μm。广泛的台式测试显示,像素内增益为 45.4 ± 0.4 dB(低通,F = 4 kHz),输入参考噪声为 7.5 ± 0.67 μV(300 Hz 至 7.5 kHz),功耗 <6 μW/像素。在体内急性记录中,我们的 SiNAPS CMOS 探头可以从每个电极中采样全带宽生物电信号,具有在空间和时间尺度上分辨和区分来自多个神经元的活动的能力。这些结果为新一代紧凑和可扩展的主动单/多轴脑记录系统铺平了道路。

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