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
- Dongxu Guo (ORCID: https://orcid.org/0000-0003-3697-6913)
- Mingyi Chen (ORCID: https://orcid.org/0000-0002-6439-4438)
- Spyros Stathopoulos (ORCID: https://orcid.org/0000-0002-0833-6209)
- Themis Prodromakis (ORCID: https://orcid.org/0000-0002-6267-6909)
- Shiwei Wang (ORCID: https://orcid.org/0000-0002-5450-2108)
- Deepika Yadav
Institutions
- Shanghai Jiao Tong University (CN)
- National Microelectronics Institute (GB)
- University of Edinburgh (GB)
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
- Royal Society