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

This paper presents a bioinspired, multi-channel auditory signal encoder based on volatile memristors, designed to mimic the short-term adaptation behavior of the human auditory system. The system integrates a threshold generator with an asynchronous delta modulator (ADM) to dynamically adjust threshold voltages based on real-time memristor behavior. The encoder is implemented with standard 130nm CMOS technology, occupying a compact area of 0.44 mm × 0.185 mm per channel and consuming 299.85 μW per channel. The adaptive resolution of the encoder is validated in simulations using a memristor model derived from real device data, demonstrating adaptive output firing rates as a result of memristor resistance volatility. With a maximum delay of 45.25 ns for a 1 kHz sound input, the design is well-suited for spike-domain neuromorphic systems.

Authors

Institutions

Publication Details

Published
2025-05-25
DOI
https://doi.org/10.1109/iscas56072.2025.11044000
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Dongxu Guo, Mingyi Chen, Spyros Stathopoulos, Themis Prodromakis et al.
Advanced Memory and Neural Computing
article

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

Dongxu Guo, Mingyi Chen, Spyros Stathopoulos, Themis Prodromakis, Shiwei Wang, Deepika Yadav
article en

Abstract

This paper presents a bioinspired, multi-channel auditory signal encoder based on volatile memristors, designed to mimic the short-term adaptation behavior of the human auditory system. The system integrates a threshold generator with an asynchronous delta modulator (ADM) to dynamically adjust threshold voltages based on real-time memristor behavior. The encoder is implemented with standard 130nm CMOS technology, occupying a compact area of 0.44 mm × 0.185 mm per channel and consuming 299.85 μW per channel. The adaptive resolution of the encoder is validated in simulations using a memristor model derived from real device data, demonstrating adaptive output firing rates as a result of memristor resistance volatility. With a maximum delay of 45.25 ns for a 1 kHz sound input, the design is well-suited for spike-domain neuromorphic systems.

Shanghai Jiao Tong University (CN), National Microelectronics Institute (GB), University of Edinburgh (GB)
Royal Society
Affordable and clean energy
Openalex Percentile: Top 87%
Advanced Memory and Neural Computing
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

A Multi-Channel Auditory Signal Encoder with Adaptive Resolution Using Volatile Memristors — Dongxu Guo, Mingyi Chen, et al. · (2025) | TGRS Research Map | TGRS