Real-Time Unsupervised Learning and Image Recognition via Memristive Neural Integrated Chip Based on Negative Differential Resistance of Electrochemical Metallization Cell Neuron Device.

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Title: Real-Time Unsupervised Learning and Image Recognition via Memristive Neural Integrated Chip Based on Negative Differential Resistance of Electrochemical Metallization Cell Neuron Device.
Authors: Woo DS; Department of Nano-scale Semiconductor Engineering, Hanyang University, Seoul, 04763, Republic of Korea., Kim JK; Department of Nano-scale Semiconductor Engineering, Hanyang University, Seoul, 04763, Republic of Korea., Park GH; Department of Nano-scale Semiconductor Engineering, Hanyang University, Seoul, 04763, Republic of Korea., Lee WG; Department of Nano-scale Semiconductor Engineering, Hanyang University, Seoul, 04763, Republic of Korea., Han MJ; Department of Electronic Engineering, Hanyang University, Seoul, 04763, Republic of Korea., Jin SM; SK Hynix Inc., Icheon, Kyunggi-do, 17336, Republic of Korea., Shim TH; Advanced Semiconductor Materials and Devices Development Center, Hanyang University, Seoul, 04763, Republic of Korea., Kim JJ; Department of Electrical and Computer Engineering, Seoul National University, Seoul, 08826, Republic of Korea., Park J; Department of Nano-scale Semiconductor Engineering, Hanyang University, Seoul, 04763, Republic of Korea.; Department of Electronic Engineering, Hanyang University, Seoul, 04763, Republic of Korea., Park JG; Department of Nano-scale Semiconductor Engineering, Hanyang University, Seoul, 04763, Republic of Korea.; Department of Electronic Engineering, Hanyang University, Seoul, 04763, Republic of Korea.; Advanced Semiconductor Materials and Devices Development Center, Hanyang University, Seoul, 04763, Republic of Korea.
Source: Small (Weinheim an der Bergstrasse, Germany) [Small] 2025 May; Vol. 21 (21), pp. e2407612. Date of Electronic Publication: 2025 Jan 21.
Publication Type: Journal Article
Journal Info: Publisher: Wiley-VCH Country of Publication: Germany NLM ID: 101235338 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1613-6829 (Electronic) Linking ISSN: 16136810 NLM ISO Abbreviation: Small Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1613-6829
DOI:10.1002/smll.202407612