基于cmos的体外神经传感装置被动和主动微纳电极的多尺度仿真分析

Federico Leva, P. Palestri, L. Selmi
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引用次数: 3

摘要

神经元和神经网络的研究受到新的刺激和记录系统的显著促进,这些系统通常使用先进的电子技术制造的生物芯片,特别是微纳米级互补金属氧化物半导体(CMOS)。传感器的转导机制模型和神经元活动的记录有助于优化传感装置的结构及其与读出电路的耦合,以及解释测量数据。本文首先概述了最近发表的用于体外研究的集成有源和无源微/纳米电极传感器件,这些器件采用现代(基于cmos的)微纳米技术制造,本文提出了一种混合模式器件电路数值分析多尺度和多物理场模拟方法来描述神经元-传感器耦合,适用于推导有用的设计指南。根据包括信噪比在内的最相关的电气参数,对一些代表性结构和耦合条件进行了更详细的分析。本文是主题“先进神经技术:将创新转化为健康和福祉”的一部分。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multiscale simulation analysis of passive and active micro/nanoelectrodes for CMOS-based in vitro neural sensing devices
Neuron and neural network studies are remarkably fostered by novel stimulation and recording systems, which often make use of biochips fabricated with advanced electronic technologies and, notably, micro- and nanoscale complementary metal-oxide semiconductor (CMOS). Models of the transduction mechanisms involved in the sensor and recording of the neuron activity are useful to optimize the sensing device architecture and its coupling to the readout circuits, as well as to interpret the measured data. Starting with an overview of recently published integrated active and passive micro/nanoelectrode sensing devices for in vitro studies fabricated with modern (CMOS-based) micro-nano technology, this paper presents a mixed-mode device-circuit numerical-analytical multiscale and multiphysics simulation methodology to describe the neuron-sensor coupling, suitable to derive useful design guidelines. A few representative structures and coupling conditions are analysed in more detail in terms of the most relevant electrical figures of merit including signal-to-noise ratio. This article is part of the theme issue ‘Advanced neurotechnologies: translating innovation for health and well-being’.
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