NbO<sub>2</sub>-Based Frequency Storable Coupled Oscillators for Associative Memory Application

Oscillatory neural networks with nano-oscillators and synapse devices are a promising alternative to implement neuromorphic systems owing to its fast recognition speed and low power consumption. In this paper, we demonstrate a compact frequency storable oscillator using nanoscale two-terminal NbO<...

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Autores principales:	Donguk Lee, Euijun Cha, Jaehyuk Park, Changhyuck Sung, Kibong Moon, Solomon Amsalu Chekol, Hyunsang Hwang
Formato:	article
Lenguaje:	EN
Publicado:	IEEE 2018
Materias:	Insulator-metal-transition neuromorphic system oscillatory neuron coupled oscillators Electrical engineering. Electronics. Nuclear engineering TK1-9971
Acceso en línea:	https://doaj.org/article/4d5250a0d9aa46a7919fcb945d796027
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spelling	oai:doaj.org-article:4d5250a0d9aa46a7919fcb945d7960272021-11-19T00:00:37ZNbO<sub>2</sub>-Based Frequency Storable Coupled Oscillators for Associative Memory Application2168-673410.1109/JEDS.2018.2793342https://doaj.org/article/4d5250a0d9aa46a7919fcb945d7960272018-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/8258964/https://doaj.org/toc/2168-6734Oscillatory neural networks with nano-oscillators and synapse devices are a promising alternative to implement neuromorphic systems owing to its fast recognition speed and low power consumption. In this paper, we demonstrate a compact frequency storable oscillator using nanoscale two-terminal NbO<sub>2</sub> insulator-metal-transition devices along with TaO<sub>x</sub>-based resistive switching memory (RRAM) devices. By controlling RRAM resistance, we realized a wide range of analog oscillation frequencies. The synchronization window of two coupled oscillators, which is a key parameter for determining pattern recognition, increases with the increasing coupling capacitance and decreasing RRAM resistance of the reference oscillator. The simple device structure (metal-NbO<sub>2</sub>-metal-TaO<sub>x</sub>-metal), small device area (4F<sup>2</sup>), and frequency storability of NbO<sub>2</sub>-based coupled oscillator device show a strong potential for future integrated neuromorphic device application.Donguk LeeEuijun ChaJaehyuk ParkChanghyuck SungKibong MoonSolomon Amsalu ChekolHyunsang HwangIEEEarticleInsulator-metal-transitionneuromorphic systemoscillatory neuroncoupled oscillatorsElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENIEEE Journal of the Electron Devices Society, Vol 6, Pp 250-253 (2018)
institution	DOAJ
collection	DOAJ
language	EN
topic	Insulator-metal-transition neuromorphic system oscillatory neuron coupled oscillators Electrical engineering. Electronics. Nuclear engineering TK1-9971
spellingShingle	Insulator-metal-transition neuromorphic system oscillatory neuron coupled oscillators Electrical engineering. Electronics. Nuclear engineering TK1-9971 Donguk Lee Euijun Cha Jaehyuk Park Changhyuck Sung Kibong Moon Solomon Amsalu Chekol Hyunsang Hwang NbO<sub>2</sub>-Based Frequency Storable Coupled Oscillators for Associative Memory Application
description	Oscillatory neural networks with nano-oscillators and synapse devices are a promising alternative to implement neuromorphic systems owing to its fast recognition speed and low power consumption. In this paper, we demonstrate a compact frequency storable oscillator using nanoscale two-terminal NbO<sub>2</sub> insulator-metal-transition devices along with TaO<sub>x</sub>-based resistive switching memory (RRAM) devices. By controlling RRAM resistance, we realized a wide range of analog oscillation frequencies. The synchronization window of two coupled oscillators, which is a key parameter for determining pattern recognition, increases with the increasing coupling capacitance and decreasing RRAM resistance of the reference oscillator. The simple device structure (metal-NbO<sub>2</sub>-metal-TaO<sub>x</sub>-metal), small device area (4F<sup>2</sup>), and frequency storability of NbO<sub>2</sub>-based coupled oscillator device show a strong potential for future integrated neuromorphic device application.
format	article
author	Donguk Lee Euijun Cha Jaehyuk Park Changhyuck Sung Kibong Moon Solomon Amsalu Chekol Hyunsang Hwang
author_facet	Donguk Lee Euijun Cha Jaehyuk Park Changhyuck Sung Kibong Moon Solomon Amsalu Chekol Hyunsang Hwang
author_sort	Donguk Lee
title	NbO<sub>2</sub>-Based Frequency Storable Coupled Oscillators for Associative Memory Application
title_short	NbO<sub>2</sub>-Based Frequency Storable Coupled Oscillators for Associative Memory Application
title_full	NbO<sub>2</sub>-Based Frequency Storable Coupled Oscillators for Associative Memory Application
title_fullStr	NbO<sub>2</sub>-Based Frequency Storable Coupled Oscillators for Associative Memory Application
title_full_unstemmed	NbO<sub>2</sub>-Based Frequency Storable Coupled Oscillators for Associative Memory Application
title_sort	nbo<sub>2</sub>-based frequency storable coupled oscillators for associative memory application
publisher	IEEE
publishDate	2018
url	https://doaj.org/article/4d5250a0d9aa46a7919fcb945d796027
work_keys_str_mv	AT donguklee nbosub2subbasedfrequencystorablecoupledoscillatorsforassociativememoryapplication AT euijuncha nbosub2subbasedfrequencystorablecoupledoscillatorsforassociativememoryapplication AT jaehyukpark nbosub2subbasedfrequencystorablecoupledoscillatorsforassociativememoryapplication AT changhyucksung nbosub2subbasedfrequencystorablecoupledoscillatorsforassociativememoryapplication AT kibongmoon nbosub2subbasedfrequencystorablecoupledoscillatorsforassociativememoryapplication AT solomonamsaluchekol nbosub2subbasedfrequencystorablecoupledoscillatorsforassociativememoryapplication AT hyunsanghwang nbosub2subbasedfrequencystorablecoupledoscillatorsforassociativememoryapplication
_version_	1718420666824261632

NbO<sub>2</sub>-Based Frequency Storable Coupled Oscillators for Associative Memory Application

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