ETRI-Knowledge Sharing Plaform

KOREAN
논문 검색
Type SCI
Year ~ Keyword

Detail

Journal Article Experimental Robust Spontaneous Synchronizations in Coupled NbOx Oscillation Neurons for Unconventional Computing
Cited 6 time in scopus Share share facebook twitter linkedin kakaostory
Authors
Hyun Wook Kim, Seung-Youl Kang, Jaehyun Moon, Nayeon Kim, Eunryeong Hong, Seyeong Jeon, Seonuk Jeon, Jiyong Woo
Issue Date
2023-12
Citation
IEEE Transactions on Electron Devices, v.70, no.12, pp.6699-6702
ISSN
0018-9383
Publisher
Institute of Electrical and Electronics Engineers
Language
English
Type
Journal Article
DOI
https://dx.doi.org/10.1109/TED.2023.3321018
Abstract
In this brief, we demonstrate experimentally achieved oscillation dynamics in coupled NbOx threshold switch (TS)-based oscillation neurons (ONs). We first show the challenges in observing oscillation caused by device variability, which is further validated through HSPICE simulations. To obtain robust oscillation response, a reliable TS developed via atomic layer deposition for conformal NbOx is introduced. By developing coupled NbOx ONs using a coupling resistor ( RC ), the out-of-phase synchronization is demonstrated owing to the weak connection. Moreover, we achieve a transition to in-phase synchronization as the coupling strength increases, showing an inverse relationship with the magnitude of RC . Based on these results, oscillatory neural networks, where multiple NbOx ONs are fully connected, are examined to execute pattern recognition via MATALB simulations.
KSP Keywords
Atomic Layer Deposition, In-phase, Out of Phase(OoP), Out-of-Phase Synchronization, Pattern recognition, Strength increases, coupling strength, device variability, neural network(NN), threshold switch, unconventional computing