Regenerative memory in time-delayed neuromorphic photonic resonators

Detalhes bibliográficos
Autor(a) principal: Romeira, Bruno
Data de Publicação: 2016
Outros Autores: Avó, R., Figueiredo, José, Barland, S., Javaloyes, Julien
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.1/9658
Resumo: We investigate a photonic regenerative memory based upon a neuromorphic oscillator with a delayed self-feedback (autaptic) connection. We disclose the existence of a unique temporal response characteristic of localized structures enabling an ideal support for bits in an optical buffer memory for storage and reshaping of data information. We link our experimental implementation, based upon a nanoscale nonlinear resonant tunneling diode driving a laser, to the paradigm of neuronal activity, the FitzHugh-Nagumo model with delayed feedback. This proof-of-concept photonic regenerative memory might constitute a building block for a new class of neuron-inspired photonic memories that can handle high bit-rate optical signals.
id RCAP_31240cb9fa96cbe5cf5735a763b93e4b
oai_identifier_str oai:sapientia.ualg.pt:10400.1/9658
network_acronym_str RCAP
network_name_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository_id_str 7160
spelling Regenerative memory in time-delayed neuromorphic photonic resonatorsWe investigate a photonic regenerative memory based upon a neuromorphic oscillator with a delayed self-feedback (autaptic) connection. We disclose the existence of a unique temporal response characteristic of localized structures enabling an ideal support for bits in an optical buffer memory for storage and reshaping of data information. We link our experimental implementation, based upon a nanoscale nonlinear resonant tunneling diode driving a laser, to the paradigm of neuronal activity, the FitzHugh-Nagumo model with delayed feedback. This proof-of-concept photonic regenerative memory might constitute a building block for a new class of neuron-inspired photonic memories that can handle high bit-rate optical signals.SapientiaRomeira, BrunoAvó, R.Figueiredo, JoséBarland, S.Javaloyes, Julien2017-04-07T15:57:16Z2016-012016-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.1/9658eng2045-2322AUT: JLO01539;10.1038/srep19510info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-07-24T10:21:10Zoai:sapientia.ualg.pt:10400.1/9658Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T20:01:33.011634Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Regenerative memory in time-delayed neuromorphic photonic resonators
title Regenerative memory in time-delayed neuromorphic photonic resonators
spellingShingle Regenerative memory in time-delayed neuromorphic photonic resonators
Romeira, Bruno
title_short Regenerative memory in time-delayed neuromorphic photonic resonators
title_full Regenerative memory in time-delayed neuromorphic photonic resonators
title_fullStr Regenerative memory in time-delayed neuromorphic photonic resonators
title_full_unstemmed Regenerative memory in time-delayed neuromorphic photonic resonators
title_sort Regenerative memory in time-delayed neuromorphic photonic resonators
author Romeira, Bruno
author_facet Romeira, Bruno
Avó, R.
Figueiredo, José
Barland, S.
Javaloyes, Julien
author_role author
author2 Avó, R.
Figueiredo, José
Barland, S.
Javaloyes, Julien
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Sapientia
dc.contributor.author.fl_str_mv Romeira, Bruno
Avó, R.
Figueiredo, José
Barland, S.
Javaloyes, Julien
description We investigate a photonic regenerative memory based upon a neuromorphic oscillator with a delayed self-feedback (autaptic) connection. We disclose the existence of a unique temporal response characteristic of localized structures enabling an ideal support for bits in an optical buffer memory for storage and reshaping of data information. We link our experimental implementation, based upon a nanoscale nonlinear resonant tunneling diode driving a laser, to the paradigm of neuronal activity, the FitzHugh-Nagumo model with delayed feedback. This proof-of-concept photonic regenerative memory might constitute a building block for a new class of neuron-inspired photonic memories that can handle high bit-rate optical signals.
publishDate 2016
dc.date.none.fl_str_mv 2016-01
2016-01-01T00:00:00Z
2017-04-07T15:57:16Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.1/9658
url http://hdl.handle.net/10400.1/9658
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2045-2322
AUT: JLO01539;
10.1038/srep19510
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv
_version_ 1799133245288218624