A Multi-bit ECRAM-Based Analog Neuromorphic System with High-Precision Current Readout Achieving 97.3% Inference Accuracy

This article proposes an analog neuromorphic system that enhances symmetry, linearity, and endurance by using a high-precision current readout circuit for multi-bit nonvolatile electro-chemical random-access memory (ECRAM). For on-chip training and inference, the system uses activation modules and m...

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Veröffentlicht in:	IEEE transactions on biomedical circuits and systems 2024-09, Vol.PP, p.1-14
Hauptverfasser:	Um, Minseong, Kang, Minil, Eom, Kyeongho, Kwak, Hyunjeong, Noh, Kyungmi, Lee, Jimin, Son, Jeonghoon, Kwon, Jiseok, Kim, Seyoung, Lee, Hyung-Min
Format:	Artikel
Sprache:	eng
Schlagworte:	Arrays CMOS current scaling ECRAM Field programmable gate arrays matrix processing Neural networks neuromorphic system Neuromorphics non-volatile memory Nonvolatile memory Synapses Training
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