Analysing and measuring the performance of memristive integrating amplifiers

Jiaqi Wang*, Alexantrou Serb, Christos Papavassiliou, Sachin Maheshwari, Themis Prodromakis

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract / Description of output

Recording reliably extracellular neural activities is an essential prerequisite for the development of bioelectronics and neuroprosthetic applications. Recently, a fully differential, two-stage, integrating pre-amplifier was proposed for amplifying and then digitising neural signals. The amplifier featured a finely tuneable offset that was used as a variable threshold detector. Given that the amplifier is integrating, the DC operating point keeps changing during integration, rendering traditional analysis (AC/DC) unsuitable. In this work, we analyse the operation of this circuit and propose alternative definitions for validating the necessary key performance metrics, including gain, bandwidth, offset tuning range and offset sensitivity with respect to the memory states of the employed memristors. The amplification process is analysed largely through investigating the transient behaviour during the integration phase. This benchmarking approach is finally leveraged for providing useful insights and design trade-offs of the memristor-based integrating amplifier.

Original languageEnglish
Pages (from-to)3507-3525
Number of pages19
JournalInternational Journal of Circuit Theory and Applications
Volume49
Issue number11
Early online date12 Jul 2021
DOIs
Publication statusPublished - 14 Nov 2021

Keywords / Materials (for Non-textual outputs)

  • high sensitivity
  • hybrid CMOS/memristor circuit
  • integrating amplifier
  • neural spike detection
  • threshold detection

Fingerprint

Dive into the research topics of 'Analysing and measuring the performance of memristive integrating amplifiers'. Together they form a unique fingerprint.

Cite this