A Reconfigurable Sub-Array Multiplexing Microelectrode Array System With 24,320 Electrodes and 380 Readout Channels for Investigating Neural Communication

Ji-Hyoung Cha, Jee-Ho Park, Yongjae Park, Hyogeun Shin, K. Hwang, Il-Joo Cho, Seong-Jin Kim
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引用次数: 5

Abstract

It is crucial to investigate electrical activities from a single neuron and neuronal synapses in electrophysiology for brain research. Conventional physiological tools such as imaging and labeling are insufficient to cope with neural signals from cells distributed over a large area [1]. Microelectrode array (MEA) systems featuring high-density electrodes and low-noise analog front-ends (AFE) have been representative solutions to acquire intracellular and extracellular potentials from in vitro multiple neurons [2 – 7]. Although the number of electrodes in MEA systems and their spatial resolution are increased thanks to advances in CMOS technology, they still suffer from area constraints in the low - noise AFE and connection complexity from electrodes to corresponding AFE channels. Since neurons are not fully activated and not evenly distributed after being cultivated on an MEA, a full scanning of electrodes in active pixel sensors (APS) is not efficient in terms of power consumption and noise performance [2 – 4]. A switch - matrix (SM) architecture offers high flexibility to select and record electrodes of interest through configuring the switches to randomly connect them to AFE channels, improving efficiency [5,6]. However, a large AFE channel dedicated to an electrode with a small pitch of a few pm limits the scalability in both APS and SM architectures. The more electrodes are integrated into the system, the more complicated the routing connections become, worsening scalability. In this paper, an MEA system with a sub-array multiplexing (SAM) architecture is presented for programmable electrode selection and readout speed to maximize the ratio of the number of recorded electrodes per frame to the total number of electrodes, called an electrode yield. A time-multiplexing scheme allows each AFE channel in a column to record multiple electrodes one-by-one in a given sampling time, alleviating the routing complexity and the number of AFE channels. The reconfigurable SAM provides a pseudo-random connection of electrodes, so that extracellular signals from a single neuron as well as neural synapses can be effectively recorded.
一种具有24,320个电极和380个读出通道的可重构子阵列复用微电极阵列系统用于研究神经通信
在脑电生理学研究中,研究单个神经元和神经元突触的电活动是至关重要的。成像和标记等常规生理工具不足以处理大面积分布的细胞发出的神经信号[1]。具有高密度电极和低噪声模拟前端(AFE)的微电极阵列(MEA)系统已成为获取体外多个神经元细胞内和细胞外电位的代表性解决方案[2 - 7]。尽管由于CMOS技术的进步,MEA系统中的电极数量及其空间分辨率有所提高,但它们仍然受到低噪声AFE的面积限制和电极到相应AFE通道的连接复杂性的影响。由于神经元在MEA上培养后未完全激活且分布不均匀,因此在有源像素传感器(APS)中对电极进行全扫描在功耗和噪声性能方面效率不高[2 - 4]。开关矩阵(SM)架构提供了高度的灵活性,通过配置开关将其随机连接到AFE通道来选择和记录感兴趣的电极,从而提高效率[5,6]。然而,专用于电极的大型AFE通道具有几pm的小间距,限制了APS和SM架构的可扩展性。系统中集成的电极越多,路由连接就越复杂,可扩展性就越差。本文提出了一种具有子阵列复用(SAM)架构的MEA系统,用于可编程电极选择和读出速度,以最大限度地提高每帧记录的电极数量与电极总数的比率,称为电极产量。时间复用方案允许列中的每个AFE通道在给定的采样时间内逐个记录多个电极,从而减轻了路由复杂性和AFE通道的数量。可重构的SAM提供了电极的伪随机连接,因此可以有效地记录来自单个神经元和神经突触的细胞外信号。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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