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Experimental Robust Spontaneous Synchronizations in Coupled NbOx Oscillation Neurons for Unconventional Computing

Author(s)
Kim, Hyun WookKang, Seung-YoulMoon, JaehyunKim, NayeonHong, EunryeongJeon, SeyeongJeon, SeonukWoo, Jiyong
Issued Date
2023-12
DOI
10.1109/TED.2023.3321018
URI
https://scholarworks.unist.ac.kr/handle/201301/66204
Citation
IEEE TRANSACTIONS ON ELECTRON DEVICES, v.70, no.12, pp.6699 - 6702
Abstract
In this brief, we demonstrate experimentally achieved oscillation dynamics in coupled NbOx thresholds witch (TS)-based oscillation neurons (ONs). We first show the challenges in observing oscillation caused by devicevariability, 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 NbO(x )ONs using acoupling resistor (RC), the out-of-phase synchronizationis demonstrated owing to the weak connection. Moreover,we achieve a transition to in-phase synchronization as the coupling strength increases, showing an inverse relation-ship with the magnitude of R-C. Based on these results,oscillatory neural networks, where multiple NbO(x )ONs arefully connected, are examined to execute pattern recognition via MATALB simulations
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
ISSN
0018-9383
Keyword (Author)
Image processingoscillatory neural network (ONN)NbOxthreshold switching
Keyword
RECOGNITIONMEMORY

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