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dc.contributor.author | Acedo Rodríguez, Luis | es_ES |
dc.contributor.author | Moraño Fernández, José Antonio | es_ES |
dc.date.accessioned | 2017-05-18T07:25:57Z | |
dc.date.available | 2017-05-18T07:25:57Z | |
dc.date.issued | 2013-04 | |
dc.identifier.issn | 0895-7177 | |
dc.identifier.uri | http://hdl.handle.net/10251/81334 | |
dc.description.abstract | [EN] It is well-known that rhythmic patterns of neural activity appear both in the normal and abnormal function of the brain. Apart from the standard bands of electric oscillations found in the electroencephalogram (EEG): from alpha (8-12 Hz) to delta waves (1-4 Hz), synchronized firing of neural populations characterize some complex cognitive functions such as memory, attention and consciousness. In the case of electrocardiogram (ECG) it is usually recognized that oscillations can be understood as the limit cycle of an underlying non-linear process in heart dynamics. However, the situation is not so clear for EEG and the origin and purpose of neural oscillations are still the subject of a heated debate. Our model is a version of the standard SIRS model from epidemiology in which susceptible, infected and recovered sites represent quiescent, firing and refractory neurons, respectively. Here we show that, in a SIRS random network epidemic model for neural activity, self-sustained oscillations appear in a restricted parameter region of the transition probabilities. This could explain the role of synchronized oscillations as a discriminant process for internal or external stimuli in brain dynamics. (C) 2011 Elsevier Ltd. All rights reserved. | es_ES |
dc.description.sponsorship | This work was supported by grant from the Universidad Politecnica de Valencia PAID-06-09 ref: 2588 and FIS Research Grant PI10/01433 from the Instituto de Salud Carlos III. | en_EN |
dc.language | Inglés | es_ES |
dc.publisher | Elsevier | es_ES |
dc.relation.ispartof | Mathematical and Computer Modelling | es_ES |
dc.rights | Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) | es_ES |
dc.subject | Neural oscillations | es_ES |
dc.subject | Stochastic neural models | es_ES |
dc.subject | Random networks | es_ES |
dc.subject.classification | MATEMATICA APLICADA | es_ES |
dc.title | Brain oscillations in a random neural network | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.1016/j.mcm.2011.11.028 | |
dc.relation.projectID | info:eu-repo/grantAgreement/UPV//PAID-06-09-2588/ | |
dc.relation.projectID | info:eu-repo/grantAgreement/ISCIII//PI10%2F01433/ES/Análisis de la pertinencia de cambio de pauta vacunal frente meningococo en la CV. Modelación epidemiológica mediante redes aleatoris/ | |
dc.rights.accessRights | Abierto | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Instituto Universitario de Matemática Multidisciplinar - Institut Universitari de Matemàtica Multidisciplinària | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Escuela Técnica Superior de Ingeniería del Diseño - Escola Tècnica Superior d'Enginyeria del Disseny | es_ES |
dc.description.bibliographicCitation | Acedo Rodríguez, L.; Moraño Fernández, JA. (2013). Brain oscillations in a random neural network. Mathematical and Computer Modelling. 57(7-8):1768-1772. https://doi.org/10.1016/j.mcm.2011.11.028 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | http://doi.org/10.1016/j.mcm.2011.11.028 | es_ES |
dc.description.upvformatpinicio | 1768 | es_ES |
dc.description.upvformatpfin | 1772 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 57 | es_ES |
dc.description.issue | 7-8 | es_ES |
dc.relation.senia | 248511 | es_ES |
dc.identifier.eissn | 1872-9479 | |
dc.contributor.funder | Universitat Politècnica de València | |
dc.contributor.funder | Instituto de Salud Carlos III |