Design of CMOS-memristor hybrid synapse and its application for noise-tolerant memristive spiking neural network

Design of CMOS-memristor hybrid synapse and its application for noise-tolerant memristive spiking neural network

In view of the growing volume of data, there is a notable research focus on hardware that offers high computational performance with low power consumption. Notably, neuromorphic computing, particularly when utilizing CMOS-based hardware, has demonstrated promising research outcomes. Furthermore, the...

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Bibliographic Details
Main Authors: Jae Gwang Lim, Sang Min Lee, Sung-jae Park, Joon Young Kwak, Yeonjoo Jeong, Jaewook Kim, Suyoun Lee, Jongkil Park, Gyu Weon Hwang, Kyeong-Seok Lee, Seongsik Park, Byeong-Kwon Ju, Hyun Jae Jang, Jong Keuk Park, Inho Kim
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-03-01
Series:Frontiers in Neuroscience
Subjects:
neuromorphic hardware
CMOS memristor hybrid synapse
spiking neural network
SPICE simulation
surrogate gradient learning
memristor
Online Access:https://www.frontiersin.org/articles/10.3389/fnins.2025.1516971/full

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https://www.frontiersin.org/articles/10.3389/fnins.2025.1516971/full

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