A Multi-Channel Auditory Signal Encoder With Adaptive Resolution Using Volatile Memristors

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Authors: Dongxu Guo, Deepika Yadav, Patrick J. Foster, Spyros Stathopoulos, Mingyi Chen, Themis Prodromakis, Shiwei Wang
Cited by: 1
References: 33

Abstract

We demonstrate and experimentally validate an end-to-end hybrid CMOS-memristor auditory encoder that realises adaptive-threshold, asynchronous delta-modulation (ADM)-based spike encoding by exploiting the inherent volatility of HfTiOx devices. A spike-triggered programming pulse rapidly raises the ADM threshold Delta (desensitisation); the device's volatility then passively lowers Delta when activity subsides (resensitisation), emphasising onsets while restoring sensitivity without static control energy. Our prototype couples an 8-channel 130 nm encoder IC to off-chip HfTiOx devices via a switch interface and an off-chip controller that monitors spike activity and issues programming events. An on-chip current-mirror transimpedance amplifier (TIA) converts device current into symmetric thresholds, enabling both sensitive and conservative encoding regimes. Evaluated with gammatone-filtered speech, the adaptive loop-at matched spike budget-sharpens onsets and preserves fine temporal detail that a fixed-Delta baseline misses; multi-channel spike cochleagrams show the same trend. Together, these results establish a practical hybrid CMOS-memristor pathway to onset-salient, spike-efficient neuromorphic audio front-ends and motivate low-power single-chip integration.

Fields of Study & Subjects

Advanced Memory and Neural Computing Ferroelectric and Negative Capacitance Devices Transition Metal Oxide Nanomaterials

Publication details

Journal / source
IEEE Transactions on Circuits and Systems I Regular Papers
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Volume
73
Issue
6
Pages
4296–4307
Publication date
6 February 2026
Language
EN