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Unveiling the complex organization of recurrent patterns in spiking dynamical systems
dc.contributor.author | Aragoneses Aguado, Andrés |
dc.contributor.author | Perrone, Sandro |
dc.contributor.author | Sorrentino Amaral, Taciano |
dc.contributor.author | Torrent Serra, Maria del Carmen |
dc.contributor.author | Masoller Alonso, Cristina |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament de Física i Enginyeria Nuclear |
dc.date.accessioned | 2014-05-05T13:01:45Z |
dc.date.available | 2014-05-05T13:01:45Z |
dc.date.created | 2014-04-15 |
dc.date.issued | 2014-04-15 |
dc.identifier.citation | Aragoneses, A. [et al.]. Unveiling the complex organization of recurrent patterns in spiking dynamical systems. "Scientific reports", 15 Abril 2014, vol. 4, p. 4696-1-4696-6. |
dc.identifier.issn | 2045-2322 |
dc.identifier.uri | http://hdl.handle.net/2117/22813 |
dc.description.abstract | 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. |
dc.language.iso | eng |
dc.publisher | MACMILLAN PUBLISHERS LIMITED |
dc.rights | Attribution-NonCommercial-NoDerivs 3.0 Spain |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
dc.subject | Àrees temàtiques de la UPC::Física |
dc.subject.lcsh | Semiconductor laser |
dc.subject.lcsh | Díodes semiconductors |
dc.subject.lcsh | Dinamics |
dc.subject.other | Diode lasers |
dc.subject.other | Nonlinear phenomena |
dc.title | Unveiling the complex organization of recurrent patterns in spiking dynamical systems |
dc.type | Article |
dc.subject.lemac | Làsers de semiconductors |
dc.subject.lemac | Diodes, Semiconductor |
dc.subject.lemac | Dinàmica |
dc.contributor.group | Universitat Politècnica de Catalunya. DONLL - Dinàmica no Lineal, Òptica no Lineal i Làsers |
dc.identifier.doi | 10.1038/srep04696 |
dc.description.peerreviewed | Peer Reviewed |
dc.relation.publisherversion | http://www.nature.com/srep/2014/140415/srep04696/full/srep04696.html |
dc.rights.access | Open Access |
local.identifier.drac | 14367990 |
dc.description.version | Postprint (published version) |
local.citation.author | Aragoneses, A.; Perrone, S.; Sorrentino, T.; Torrent, M.C.; Masoller, C. |
local.citation.publicationName | Scientific reports |
local.citation.volume | 4 |
local.citation.startingPage | 4696-1 |
local.citation.endingPage | 4696-6 |
dc.identifier.pmid | 24732050 |
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