Synchronization-based computation through networks of coupled oscillators

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  • dc.contributor.author Malagarriga, Danielca
  • dc.contributor.author García Vellisca, Mariano A.ca
  • dc.contributor.author Villa, Alessandro E. P.ca
  • dc.contributor.author Buldú, Javier M.ca
  • dc.contributor.author García Ojalvo, Jordica
  • dc.contributor.author Pons, Antonio J.ca
  • dc.date.accessioned 2016-01-25T19:01:56Z
  • dc.date.available 2016-01-25T19:01:56Z
  • dc.date.issued 2015
  • dc.description.abstract The mesoscopic activity of the brain is strongly dynamical, while at the same time exhibits remarkable computational capabilities. In order to examine how these two features coexist, here we show that the patterns of synchronized oscillations displayed by networks of neural mass models, representing cortical columns, can be used as substrates for Boolean-like computations. Our results reveal that the same neural mass network may process different combinations of dynamical inputs as different logical operations or combinations of them. This dynamical feature of the network allows it to process complex inputs in a very sophisticated manner. The results are reproduced experimentally with electronic circuits of coupled Chua oscillators, showing the robustness of this kind of computation to the intrinsic noise and parameter mismatch of the coupled oscillators. We also show that the information-processing capabilities of coupled oscillations go beyond the simple juxtaposition of logic gates.ca
  • dc.description.sponsorship Work supported by the Ministerio de Economia y Competividad (Spain) and FEDER through projects FIS2012-37655-C02-01 and FIS2013-41057-P. JG acknowledges support from the ICREA Academia programme and from the Generalitat de Catalunya (project 2014SGR0974)
  • dc.format.mimetype application/pdfca
  • dc.identifier.citation Malagarriga D, García-Vellisca MA, Villa AE, Buldú JM, García-Ojalvo J, Pons AJ. Synchronization-based computation through networks of coupled oscillators. Frontiers in computational neuroscience. 2015;9:97. DOI: 10.3389/fncom.2015.00097ca
  • dc.identifier.doi http://dx.doi.org/10.3389/fncom.2015.00097
  • dc.identifier.issn 1662-5188
  • dc.identifier.uri http://hdl.handle.net/10230/25649
  • dc.language.iso engca
  • dc.publisher Frontiersca
  • dc.relation.ispartof Frontiers in computational neuroscience. 2015;9:97
  • dc.relation.projectID info:eu-repo/grantAgreement/ES/3PN/FIS2012-37655-C02-01
  • dc.relation.projectID info:eu-repo/grantAgreement/ES/1PE/FIS2013-41057-P
  • dc.rights © 2015 Malagarriga, García-Vellisca, Villa, Buldú, García-Ojalvo and Pons. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these termsca
  • dc.rights.accessRights info:eu-repo/semantics/openAccessca
  • dc.rights.uri http://creativecommons.org/licenses/by/4.0/ca
  • dc.subject.keyword Chua oscillators
  • dc.subject.keyword Complex networks
  • dc.subject.keyword Information processing
  • dc.subject.keyword Logic gate
  • dc.subject.keyword Neural mass
  • dc.subject.keyword Synchronization
  • dc.subject.other Computació evolutivaca
  • dc.title Synchronization-based computation through networks of coupled oscillatorsca
  • dc.type info:eu-repo/semantics/articleca
  • dc.type.version info:eu-repo/semantics/publishedVersionca