Cross-frequency transfer in a stochastically driven mesoscopic neuronal model
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- dc.contributor.author Jedynak, Maciejca
- dc.contributor.author Pons, Antonio J.ca
- dc.contributor.author García Ojalvo, Jordica
- dc.date.accessioned 2016-01-25T19:37:55Z
- dc.date.available 2016-01-25T19:37:55Z
- dc.date.issued 2015
- dc.description.abstract The brain is known to operate in multiple coexisting frequency bands. Increasing experimental evidence suggests that interactions between those distinct bands play a crucial role in brain processes, but the dynamical mechanisms underlying this cross-frequency coupling are still under investigation. Two approaches have been proposed to address this issue. In the first one distinct nonlinear oscillators representing the brain rhythms involved are coupled actively (bidirectionally), whereas in the second one the oscillators are coupled unidirectionally and thus the driving between them is passive. Here we elaborate the latter approach by implementing a stochastically driven network of coupled neural mass models that operate in the alpha range. This model exhibits a broadband power spectrum with 1/f(b) form, similar to those observed experimentally. Our results show that such a model is able to reproduce recent experimental observations on the effect of slow rocking on the alpha activity associated with sleep. This suggests that passive driving can account for cross-frequency transfer in the brain, as a result of the complex nonlinear dynamics of its underlying oscillators.ca
- dc.description.sponsorship This work was supported by the European Commission through the FP7 Marie Curie Initial Training Network 289146 (NETT: Neural Engineering Transformative Technologies), and the Ministerio de Economia y Competividad (Spain, project FIS2012-37655). JGO acknowledges support from the ICREA Academia programme.
- dc.format.mimetype application/pdfca
- dc.identifier.citation Jedynak M, Pons AJ, Garcia-Ojalvo J. Cross-frequency transfer in a stochastically driven mesoscopic neuronal model. Frontiers in computational neuroscience. 2015;9:14. DOI: 10.3389/fncom.2015.00014ca
- dc.identifier.doi http://dx.doi.org/10.3389/fncom.2015.00014
- dc.identifier.issn 1662-5188
- dc.identifier.uri http://hdl.handle.net/10230/25650
- dc.language.iso engca
- dc.publisher Frontiersca
- dc.relation.ispartof Frontiers in computational neuroscience. 2015;9:14
- dc.relation.projectID info:eu-repo/grantAgreement/ES/3PN/FIS2012-37655
- dc.rights © 2015 Jedynak, Pons and Garcia-Ojalvo. 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 terms.ca
- dc.rights.accessRights info:eu-repo/semantics/openAccessca
- dc.rights.uri http://creativecommons.org/licenses/by/4.0/ca
- dc.subject.keyword Jansen-Rit model
- dc.subject.keyword Ornstein-Uhlenbeck noise
- dc.subject.keyword Cross-frequency coupling
- dc.subject.keyword Driven oscillators
- dc.subject.keyword Mesoscopic brain dynamics
- dc.subject.keyword Neural mass model
- dc.subject.keyword Neuronal oscillations
- dc.subject.keyword Stochastic
- dc.subject.other Neuronesca
- dc.subject.other Cognicióca
- dc.title Cross-frequency transfer in a stochastically driven mesoscopic neuronal modelca
- dc.type info:eu-repo/semantics/articleca
- dc.type.version info:eu-repo/semantics/publishedVersionca