Unveiling the complex organization of recurrent patterns in spiking dynamical systems

Complex systems displaying recurrent spike patterns are ubiquitous in nature. Understanding the organization of these patterns is a challenging task. Here we study experimentally the spiking output of a semiconductor laser with feedback. By using symbolic analysis we unveil a nontrivial organization...

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Autores: Aragoneses Aguado, Andrés, Perrone, Sandro, Sorrentino Amaral, Taciano, Torrent Serra, Maria del Carmen|||0000-0001-7965-5656, Masoller Alonso, Cristina|||0000-0003-0768-2019
Tipo de recurso: artículo
Fecha de publicación:2014
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/22813
Acceso en línea:https://hdl.handle.net/2117/22813
https://dx.doi.org/10.1038/srep04696
Access Level:acceso abierto
Palabra clave:Semiconductor laser
Díodes semiconductors
Dinamics
Diode lasers
Nonlinear phenomena
Làsers de semiconductors
Diodes, Semiconductor
Dinàmica
Àrees temàtiques de la UPC::Física
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oai_identifier_str oai:upcommons.upc.edu:2117/22813
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repository_id_str
spelling Unveiling the complex organization of recurrent patterns in spiking dynamical systemsAragoneses Aguado, AndrésPerrone, SandroSorrentino Amaral, TacianoTorrent Serra, Maria del Carmen|||0000-0001-7965-5656Masoller Alonso, Cristina|||0000-0003-0768-2019Semiconductor laserDíodes semiconductorsDinamicsDiode lasersNonlinear phenomenaLàsers de semiconductorsDiodes, SemiconductorDinàmicaÀrees temàtiques de la UPC::FísicaComplex systems displaying recurrent spike patterns are ubiquitous in nature. Understanding the organization of these patterns is a challenging task. Here we study experimentally the spiking output of a semiconductor laser with feedback. By using symbolic analysis we unveil a nontrivial organization of patterns, revealing serial spike correlations. The probabilities of the patterns display a well-defined, hierarchical and clustered structure that can be understood in terms of a delayed model. Most importantly, we identify a minimal model, a modified circle map, which displays the same symbolic organization. The validity of this minimal model is confirmed by analyzing the output of the forced laser. Since the circle map describes many dynamical systems, including neurons and cardiac cells, our results suggest that similar correlations and hierarchies of patterns can be found in other systems. Our findings also pave the way for optical neurons that could provide a controllable set up to mimic neuronal activity.Peer ReviewedMACMILLAN PUBLISHERS LIMITED20142014-04-1520142014-05-05journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/2117/22813https://dx.doi.org/10.1038/srep0469624732050reponame:UPCommons. Portal del coneixement obert de la UPCinstname:Universitat Politècnica de Catalunya (UPC)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Attribution-NonCommercial-NoDerivs 3.0 Spainhttp://creativecommons.org/licenses/by-nc-nd/3.0/es/info:eu-repo/semantics/openAccessoai:upcommons.upc.edu:2117/228132026-05-27T15:37:01Z
dc.title.none.fl_str_mv Unveiling the complex organization of recurrent patterns in spiking dynamical systems
title Unveiling the complex organization of recurrent patterns in spiking dynamical systems
spellingShingle Unveiling the complex organization of recurrent patterns in spiking dynamical systems
Aragoneses Aguado, Andrés
Semiconductor laser
Díodes semiconductors
Dinamics
Diode lasers
Nonlinear phenomena
Làsers de semiconductors
Diodes, Semiconductor
Dinàmica
Àrees temàtiques de la UPC::Física
title_short Unveiling the complex organization of recurrent patterns in spiking dynamical systems
title_full Unveiling the complex organization of recurrent patterns in spiking dynamical systems
title_fullStr Unveiling the complex organization of recurrent patterns in spiking dynamical systems
title_full_unstemmed Unveiling the complex organization of recurrent patterns in spiking dynamical systems
title_sort Unveiling the complex organization of recurrent patterns in spiking dynamical systems
dc.creator.none.fl_str_mv Aragoneses Aguado, Andrés
Perrone, Sandro
Sorrentino Amaral, Taciano
Torrent Serra, Maria del Carmen|||0000-0001-7965-5656
Masoller Alonso, Cristina|||0000-0003-0768-2019
author Aragoneses Aguado, Andrés
author_facet Aragoneses Aguado, Andrés
Perrone, Sandro
Sorrentino Amaral, Taciano
Torrent Serra, Maria del Carmen|||0000-0001-7965-5656
Masoller Alonso, Cristina|||0000-0003-0768-2019
author_role author
author2 Perrone, Sandro
Sorrentino Amaral, Taciano
Torrent Serra, Maria del Carmen|||0000-0001-7965-5656
Masoller Alonso, Cristina|||0000-0003-0768-2019
author2_role author
author
author
author
dc.subject.none.fl_str_mv Semiconductor laser
Díodes semiconductors
Dinamics
Diode lasers
Nonlinear phenomena
Làsers de semiconductors
Diodes, Semiconductor
Dinàmica
Àrees temàtiques de la UPC::Física
topic Semiconductor laser
Díodes semiconductors
Dinamics
Diode lasers
Nonlinear phenomena
Làsers de semiconductors
Diodes, Semiconductor
Dinàmica
Àrees temàtiques de la UPC::Física
description Complex systems displaying recurrent spike patterns are ubiquitous in nature. Understanding the organization of these patterns is a challenging task. Here we study experimentally the spiking output of a semiconductor laser with feedback. By using symbolic analysis we unveil a nontrivial organization of patterns, revealing serial spike correlations. The probabilities of the patterns display a well-defined, hierarchical and clustered structure that can be understood in terms of a delayed model. Most importantly, we identify a minimal model, a modified circle map, which displays the same symbolic organization. The validity of this minimal model is confirmed by analyzing the output of the forced laser. Since the circle map describes many dynamical systems, including neurons and cardiac cells, our results suggest that similar correlations and hierarchies of patterns can be found in other systems. Our findings also pave the way for optical neurons that could provide a controllable set up to mimic neuronal activity.
publishDate 2014
dc.date.none.fl_str_mv 2014
2014-04-15
2014
2014-05-05
dc.type.none.fl_str_mv journal 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://hdl.handle.net/2117/22813
https://dx.doi.org/10.1038/srep04696
24732050
url https://hdl.handle.net/2117/22813
https://dx.doi.org/10.1038/srep04696
identifier_str_mv 24732050
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivs 3.0 Spain
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
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
Attribution-NonCommercial-NoDerivs 3.0 Spain
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv MACMILLAN PUBLISHERS LIMITED
publisher.none.fl_str_mv MACMILLAN PUBLISHERS LIMITED
dc.source.none.fl_str_mv reponame:UPCommons. Portal del coneixement obert de la UPC
instname:Universitat Politècnica de Catalunya (UPC)
instname_str Universitat Politècnica de Catalunya (UPC)
reponame_str UPCommons. Portal del coneixement obert de la UPC
collection UPCommons. Portal del coneixement obert de la UPC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,300724

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