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Analysing and Measuring the Performance ofMemristive Integrating Amplifiers
arXiv - CS - Emerging Technologies Pub Date : 2020-09-21 , DOI: arxiv-2009.09909
Jiaqi Wang, Alexander Serb, Christos Papavassiliou, Sachin Maheshwari, Themistoklis Prodromakis

Recording reliably extracellular neural activities isan essential prerequisite for the development of bioelectronicsand neuroprosthetic applications. Recently, a fully differential,2-stage, integrating pre-amplifier was proposed for amplifyingand then digitising neural signals. The amplifier featured a finelytuneable offset that was used as a variable threshold detector.Given that the amplifier is integrating, the DC operating pointkeeps changing during integration, rendering traditional analysis(AC/DC) unsuitable. In this work, we analyse the operation ofthis circuit and propose alternative definitions for validating thenecessary key performance metrics, including: gain, bandwidth,offset tuning range and offset sensitivity with respect to thememory states of the employed memristors. The amplificationprocess is analysed largely through investigating the transientbehaviour during the integration phase. This benchmarkingapproach is finally leveraged for providing useful insights anddesign trade-offs of the memristor-based integrating amplifier.

中文翻译:

分析和测量忆阻积分放大器的性能

可靠地记录细胞外神经活动是生物电子学和神经假体应用发展的必要先决条件。最近,提出了一种全差分、2 级、积分前置放大器,用于放大和数字化神经信号。该放大器具有可微调的偏移,用作可变阈值检测器。鉴于放大器正在积分,直流工作点在积分过程中不断变化,使得传统分析(AC/DC)不适用。在这项工作中,我们分析了该电路的操作并提出了用于验证必要的关键性能指标的替代定义,包括:增益、带宽、偏移调谐范围和与所采用忆阻器的存储状态相关的偏移灵敏度。放大过程主要通过研究积分阶段的瞬态行为来分析。这种基准测试方法最终被用来为基于忆阻器的积分放大器提供有用的见解和设计权衡。
更新日期:2020-09-22
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