Fully CMOS‐Compatible 3‐T Embedded NOR Flash Memory Achieving 28 ns Long‐Term Potentiation/Long‐Term Depression for High‐Speed Online Training Accelerators

Neuromorphic Hardware Architectures A novel fully complementary metal–oxide–semiconductor (CMOS)-compatible three-transistor (3-T) embedded flash (eFlash) is proposed for high-speed online training accelerators enabled by 28 ns long-term potentiation (LTP)/long-term depression (LTD) operations. Owing to full CMOS compatibility and high speed, the proposed 3-T eFlash can be a high-performance solution to the neuromorphic hardware. More details can be found in the Research Article by Woo Young Choi and co-workers (DOI: 10.1002/aisy.202500547).

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Publication Details

Journal
Advanced Intelligent Systems
Published
2026-02-01
DOI
https://doi.org/10.1002/aisy.70222
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
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article

Fully CMOS‐Compatible 3‐T Embedded NOR Flash Memory Achieving 28 ns Long‐Term Potentiation/Long‐Term Depression for High‐Speed Online Training Accelerators

Jae Seung Woo, Geun Tae Park, Kyoung Min Choi, Jin Ho Chang et al.
Advanced Intelligent Systems
Advanced Memory and Neural Computing
article

Fully CMOS‐Compatible 3‐T Embedded NOR Flash Memory Achieving 28 ns Long‐Term Potentiation/Long‐Term Depression for High‐Speed Online Training Accelerators

Jae Seung Woo, Geun Tae Park, Kyoung Min Choi, Jin Ho Chang, Woo Young Choi
article en

Abstract

Neuromorphic Hardware Architectures A novel fully complementary metal–oxide–semiconductor (CMOS)-compatible three-transistor (3-T) embedded flash (eFlash) is proposed for high-speed online training accelerators enabled by 28 ns long-term potentiation (LTP)/long-term depression (LTD) operations. Owing to full CMOS compatibility and high speed, the proposed 3-T eFlash can be a high-performance solution to the neuromorphic hardware. More details can be found in the Research Article by Woo Young Choi and co-workers (DOI: 10.1002/aisy.202500547).

Advanced Intelligent SystemsVol. 8(2)
Seoul National University (KR), Samsung (South Korea) (KR)
Openalex Percentile: Top 51%
Advanced Memory and Neural Computing
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