  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.
