Chua Corsage memristor based neuron models

Abstract Nowadays, processing of data via neuromorphic non‐linear dynamics is a key element for brain‐inspired computers. In particular, an appropriate neuromorphic device is essential to emulate neuromorphic functions. In this brief, it is found that the Chua Corsage memristor has rich neuromorphic...

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Autores principales: Yujiao Dong, Yan Liang, Guangyi Wang, Herbert Ho‐Ching Iu
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Publicado: Wiley 2021
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Acceso en línea:https://doaj.org/article/0cd92b18dc2448c8b83d6ab2dffdd58f
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spelling oai:doaj.org-article:0cd92b18dc2448c8b83d6ab2dffdd58f2021-11-19T05:42:53ZChua Corsage memristor based neuron models1350-911X0013-519410.1049/ell2.12304https://doaj.org/article/0cd92b18dc2448c8b83d6ab2dffdd58f2021-11-01T00:00:00Zhttps://doi.org/10.1049/ell2.12304https://doaj.org/toc/0013-5194https://doaj.org/toc/1350-911XAbstract Nowadays, processing of data via neuromorphic non‐linear dynamics is a key element for brain‐inspired computers. In particular, an appropriate neuromorphic device is essential to emulate neuromorphic functions. In this brief, it is found that the Chua Corsage memristor has rich neuromorphic behaviours, which has potential values to realise the hardware construction for neuromorphic computing. The theory of local activity and edge of chaos are applied to analyse the neuromorphic dynamics of the second‐order Chua Corsage memristor based neuron model, and find that the periodic spikes (action potentials) appear either on or near the edge of chaos domain, which are excited by the subcritical Hopf bifurcation or the unstable state of the neuron model, respectively. Furthermore, the third‐order Chua Corsage memristor based neuron model can generate self‐sustained oscillations, periodic spikes, and chaos near the edge of chaos domain.Yujiao DongYan LiangGuangyi WangHerbert Ho‐Ching IuWileyarticleElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENElectronics Letters, Vol 57, Iss 24, Pp 903-905 (2021)
institution DOAJ
collection DOAJ
language EN
topic Electrical engineering. Electronics. Nuclear engineering
TK1-9971
spellingShingle Electrical engineering. Electronics. Nuclear engineering
TK1-9971
Yujiao Dong
Yan Liang
Guangyi Wang
Herbert Ho‐Ching Iu
Chua Corsage memristor based neuron models
description Abstract Nowadays, processing of data via neuromorphic non‐linear dynamics is a key element for brain‐inspired computers. In particular, an appropriate neuromorphic device is essential to emulate neuromorphic functions. In this brief, it is found that the Chua Corsage memristor has rich neuromorphic behaviours, which has potential values to realise the hardware construction for neuromorphic computing. The theory of local activity and edge of chaos are applied to analyse the neuromorphic dynamics of the second‐order Chua Corsage memristor based neuron model, and find that the periodic spikes (action potentials) appear either on or near the edge of chaos domain, which are excited by the subcritical Hopf bifurcation or the unstable state of the neuron model, respectively. Furthermore, the third‐order Chua Corsage memristor based neuron model can generate self‐sustained oscillations, periodic spikes, and chaos near the edge of chaos domain.
format article
author Yujiao Dong
Yan Liang
Guangyi Wang
Herbert Ho‐Ching Iu
author_facet Yujiao Dong
Yan Liang
Guangyi Wang
Herbert Ho‐Ching Iu
author_sort Yujiao Dong
title Chua Corsage memristor based neuron models
title_short Chua Corsage memristor based neuron models
title_full Chua Corsage memristor based neuron models
title_fullStr Chua Corsage memristor based neuron models
title_full_unstemmed Chua Corsage memristor based neuron models
title_sort chua corsage memristor based neuron models
publisher Wiley
publishDate 2021
url https://doaj.org/article/0cd92b18dc2448c8b83d6ab2dffdd58f
work_keys_str_mv AT yujiaodong chuacorsagememristorbasedneuronmodels
AT yanliang chuacorsagememristorbasedneuronmodels
AT guangyiwang chuacorsagememristorbasedneuronmodels
AT herberthochingiu chuacorsagememristorbasedneuronmodels
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