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Video s3
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    Presenter(s)
    Jiaqi Wang Headshot
    Display Name
    Jiaqi Wang
    Affiliation
    Affiliation
    University of Southampton
    Country
    Author(s)
    Display Name
    Jiaqi Wang
    Affiliation
    Affiliation
    University of Southampton
    Display Name
    Alex Serb
    Affiliation
    Affiliation
    University of Southampton
    Display Name
    Shiwei Wang
    Affiliation
    Affiliation
    University of Southampton
    Affiliation
    Affiliation
    University of Southampton
    Abstract

    One of the challenges of designing neural front-end is to reject the DC offset from electrodes. The conventional AC-coupled solution is to utilise large input capacitors and pseudo-resistors, which have the key limitations of area, linearity and DC drift. In this paper, we propose a DC-coupled solution based on the hybrid CMOS/memristor technique. The spike detection is realised by thresholding in the proposed front-end, which consists of a memristive amplifier and a DLC. The amplifier boosts micro-volt neural signals to milli-volt through integration, making it recognised by the DLC. In addition, the memristor is utilised as a trimming device along the current branch for the purpose of tuning the offset voltage. The proposed front-end is capable of rejecting up to 50mV DC offset, while maintaining high accuracy and low power consumption.

    Slides
    • Offset Rejection in a DC-Coupled Hybrid CMOS/Memristor Neural Front-End (application/pdf)