Spike-time encoding of gas concentrations using neuromorphic analog sensory front-end

Shavika Rastogi, Nik Dennler, Michael Schmuker, André van Schaik

Research output: Chapter in Book / Conference PaperConference Paperpeer-review

1 Citation (Scopus)

Abstract

Gas concentration detection is important for applications such as gas leakage monitoring. Metal Oxide (MOx) sensors show high sensitivities for specific gases, which makes them particularly useful for such monitoring applications. However, how to efficiently sample and further process the sensor responses remains an open question. Here we propose a simple analog circuit design inspired by the spiking output of the mammalian olfactory bulb and by event-based vision sensors. Our circuit encodes the gas concentration in the time difference between the pulses of two separate pathways. We show that in the setting of controlled airflow-embedded gas injections, the time difference between the two generated pulses varies inversely with gas concentration, which is in agreement with the spike timing difference between tufted cells and mitral cells of the mammalian olfactory bulb. Encoding concentration information in analog spike timings may pave the way for rapid and efficient gas detection, and ultimately lead to data- and power-efficient monitoring devices to be deployed in uncontrolled and turbulent environments.

Original languageEnglish
Title of host publicationProceedings of the 2023 IEEE Biomedical Circuits and Systems Conference (BioCAS 2023), October 19-21, 2023, Toronto, Canada
PublisherIEEE
Number of pages5
ISBN (Print)9798350300260
DOIs
Publication statusPublished - 2023
EventBiomedical Circuits and Systems Conference -
Duration: 19 Oct 2023 → …

Conference

ConferenceBiomedical Circuits and Systems Conference
Period19/10/23 → …

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