Autoassociative Memory and Pattern Recognition in Micromechanical Oscillator Network

Abstract Towards practical realization of brain-inspired computing in a scalable physical system, we investigate a network of coupled micromechanical oscillators. We numerically simulate this array of all-to-all coupled nonlinear oscillators in the presence of stochasticity and demonstrate its abili...

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Autores principales:	Ankit Kumar, Pritiraj Mohanty
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2017
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/93efddcb2698497694f487da07dd33c7
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spelling	oai:doaj.org-article:93efddcb2698497694f487da07dd33c72021-12-02T11:40:42ZAutoassociative Memory and Pattern Recognition in Micromechanical Oscillator Network10.1038/s41598-017-00442-y2045-2322https://doaj.org/article/93efddcb2698497694f487da07dd33c72017-03-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-00442-yhttps://doaj.org/toc/2045-2322Abstract Towards practical realization of brain-inspired computing in a scalable physical system, we investigate a network of coupled micromechanical oscillators. We numerically simulate this array of all-to-all coupled nonlinear oscillators in the presence of stochasticity and demonstrate its ability to synchronize and store information in the relative phase differences at synchronization. Sensitivity of behavior to coupling strength, frequency distribution, nonlinearity strength, and noise amplitude is investigated. Our results demonstrate that neurocomputing in a physically realistic network of micromechanical oscillators with silicon-based fabrication process can be robust against noise sources and fabrication process variations. This opens up tantalizing prospects for hardware realization of a low-power brain-inspired computing architecture that captures complexity on a scalable manufacturing platform.Ankit KumarPritiraj MohantyNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-9 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Ankit Kumar Pritiraj Mohanty Autoassociative Memory and Pattern Recognition in Micromechanical Oscillator Network
description	Abstract Towards practical realization of brain-inspired computing in a scalable physical system, we investigate a network of coupled micromechanical oscillators. We numerically simulate this array of all-to-all coupled nonlinear oscillators in the presence of stochasticity and demonstrate its ability to synchronize and store information in the relative phase differences at synchronization. Sensitivity of behavior to coupling strength, frequency distribution, nonlinearity strength, and noise amplitude is investigated. Our results demonstrate that neurocomputing in a physically realistic network of micromechanical oscillators with silicon-based fabrication process can be robust against noise sources and fabrication process variations. This opens up tantalizing prospects for hardware realization of a low-power brain-inspired computing architecture that captures complexity on a scalable manufacturing platform.
format	article
author	Ankit Kumar Pritiraj Mohanty
author_facet	Ankit Kumar Pritiraj Mohanty
author_sort	Ankit Kumar
title	Autoassociative Memory and Pattern Recognition in Micromechanical Oscillator Network
title_short	Autoassociative Memory and Pattern Recognition in Micromechanical Oscillator Network
title_full	Autoassociative Memory and Pattern Recognition in Micromechanical Oscillator Network
title_fullStr	Autoassociative Memory and Pattern Recognition in Micromechanical Oscillator Network
title_full_unstemmed	Autoassociative Memory and Pattern Recognition in Micromechanical Oscillator Network
title_sort	autoassociative memory and pattern recognition in micromechanical oscillator network
publisher	Nature Portfolio
publishDate	2017
url	https://doaj.org/article/93efddcb2698497694f487da07dd33c7
work_keys_str_mv	AT ankitkumar autoassociativememoryandpatternrecognitioninmicromechanicaloscillatornetwork AT pritirajmohanty autoassociativememoryandpatternrecognitioninmicromechanicaloscillatornetwork
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Autoassociative Memory and Pattern Recognition in Micromechanical Oscillator Network

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