On the application of a diffusive memristor compact model to neuromorphic circuits

Memristive devices have found application in both random access memory and neuromorphic circuits. In particular, it is known that their behavior resembles that of neuronal synapses. However, it is not simple to come by samples of memristors and adjusting their parameters to change their response req...

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Autores: Cisternas Ferri, Agustín, Rapoport, Alan, Fierens, Pablo I.|||0000-0001-5725-0017, Patterson, German A.|||0000-0001-9035-3042, Miranda, E.|||0000-0003-0470-5318, Suñé, Jordi|||0000-0003-0108-4907
Formato: artículo
Fecha de publicación:2019
País:España
Recursos:Universitat Autònoma de Barcelona
Repositorio:Dipòsit Digital de Documents de la UAB
Idioma:inglés
OAI Identifier:oai:ddd.uab.cat:215755
Acesso em linha:https://ddd.uab.cat/record/215755
https://dx.doi.org/urn:doi:10.3390/ma12142260
Access Level:acceso abierto
Palavra-chave:Memristor
Compact model
Emulator
Neuromorphic
Synapse
STDP
Pavlov
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spelling On the application of a diffusive memristor compact model to neuromorphic circuitsCisternas Ferri, AgustínRapoport, AlanFierens, Pablo I.|||0000-0001-5725-0017Patterson, German A.|||0000-0001-9035-3042Miranda, E.|||0000-0003-0470-5318Suñé, Jordi|||0000-0003-0108-4907MemristorCompact modelEmulatorNeuromorphicSynapseSTDPPavlovMemristive devices have found application in both random access memory and neuromorphic circuits. In particular, it is known that their behavior resembles that of neuronal synapses. However, it is not simple to come by samples of memristors and adjusting their parameters to change their response requires a laborious fabrication process. Moreover, sample to sample variability makes experimentation with memristor-based synapses even harder. The usual alternatives are to either simulate or emulate the memristive systems under study. Both methodologies require the use of accurate modeling equations. In this paper, we present a diffusive compact model of memristive behavior that has already been experimentally validated. Furthermore, we implement an emulation architecture that enables us to freely explore the synapse-like characteristics of memristors. The main advantage of emulation over simulation is that the former allows us to work with real-world circuits. Our results can give some insight into the desirable characteristics of the memristors for neuromorphic applications. 22019-01-0120192019-01-01Articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://ddd.uab.cat/record/215755https://dx.doi.org/urn:doi:10.3390/ma12142260reponame:Dipòsit Digital de Documents de la UABinstname:Universitat Autònoma de BarcelonaInglésengEuropean Commission https://doi.org/10.13039/501100000780 783176Agencia Estatal de Investigación https://doi.org/10.13039/501100011033 PCI2018-093107open accesshttp://purl.org/coar/access_right/c_abf2Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original.https://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:ddd.uab.cat:2157552026-06-06T12:50:31Z
dc.title.none.fl_str_mv On the application of a diffusive memristor compact model to neuromorphic circuits
title On the application of a diffusive memristor compact model to neuromorphic circuits
spellingShingle On the application of a diffusive memristor compact model to neuromorphic circuits
Cisternas Ferri, Agustín
Memristor
Compact model
Emulator
Neuromorphic
Synapse
STDP
Pavlov
title_short On the application of a diffusive memristor compact model to neuromorphic circuits
title_full On the application of a diffusive memristor compact model to neuromorphic circuits
title_fullStr On the application of a diffusive memristor compact model to neuromorphic circuits
title_full_unstemmed On the application of a diffusive memristor compact model to neuromorphic circuits
title_sort On the application of a diffusive memristor compact model to neuromorphic circuits
dc.creator.none.fl_str_mv Cisternas Ferri, Agustín
Rapoport, Alan
Fierens, Pablo I.|||0000-0001-5725-0017
Patterson, German A.|||0000-0001-9035-3042
Miranda, E.|||0000-0003-0470-5318
Suñé, Jordi|||0000-0003-0108-4907
author Cisternas Ferri, Agustín
author_facet Cisternas Ferri, Agustín
Rapoport, Alan
Fierens, Pablo I.|||0000-0001-5725-0017
Patterson, German A.|||0000-0001-9035-3042
Miranda, E.|||0000-0003-0470-5318
Suñé, Jordi|||0000-0003-0108-4907
author_role author
author2 Rapoport, Alan
Fierens, Pablo I.|||0000-0001-5725-0017
Patterson, German A.|||0000-0001-9035-3042
Miranda, E.|||0000-0003-0470-5318
Suñé, Jordi|||0000-0003-0108-4907
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv Memristor
Compact model
Emulator
Neuromorphic
Synapse
STDP
Pavlov
topic Memristor
Compact model
Emulator
Neuromorphic
Synapse
STDP
Pavlov
description Memristive devices have found application in both random access memory and neuromorphic circuits. In particular, it is known that their behavior resembles that of neuronal synapses. However, it is not simple to come by samples of memristors and adjusting their parameters to change their response requires a laborious fabrication process. Moreover, sample to sample variability makes experimentation with memristor-based synapses even harder. The usual alternatives are to either simulate or emulate the memristive systems under study. Both methodologies require the use of accurate modeling equations. In this paper, we present a diffusive compact model of memristive behavior that has already been experimentally validated. Furthermore, we implement an emulation architecture that enables us to freely explore the synapse-like characteristics of memristors. The main advantage of emulation over simulation is that the former allows us to work with real-world circuits. Our results can give some insight into the desirable characteristics of the memristors for neuromorphic applications.
publishDate 2019
dc.date.none.fl_str_mv 2
2019-01-01
2019
2019-01-01
dc.type.none.fl_str_mv Article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://ddd.uab.cat/record/215755
https://dx.doi.org/urn:doi:10.3390/ma12142260
url https://ddd.uab.cat/record/215755
https://dx.doi.org/urn:doi:10.3390/ma12142260
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.relation.none.fl_str_mv European Commission https://doi.org/10.13039/501100000780 783176
Agencia Estatal de Investigación https://doi.org/10.13039/501100011033 PCI2018-093107
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
https://creativecommons.org/licenses/by/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
https://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Dipòsit Digital de Documents de la UAB
instname:Universitat Autònoma de Barcelona
instname_str Universitat Autònoma de Barcelona
reponame_str Dipòsit Digital de Documents de la UAB
collection Dipòsit Digital de Documents de la UAB
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,228081

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