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dc.contributor.authorLin, KK
dc.contributor.authorWedgwood, KCA
dc.contributor.authorCoombes, S
dc.contributor.authorYoung, L-S
dc.date.accessioned2017-08-10T12:37:05Z
dc.date.issued2012-01-31
dc.description.abstractPerturbation theory is an important tool in the analysis of oscillators and their response to external stimuli. It is predicated on the assumption that the perturbations in question are “sufficiently weak”, an assumption that is not always valid when perturbative methods are applied. In this paper, we identify a number of concrete dynamical scenarios in which a standard perturbative technique, based on the infinitesimal phase response curve (PRC), is shown to give different predictions than the full model. Shear-induced chaos, i.e., chaotic behavior that results from the amplification of small perturbations by underlying shear, is missed entirely by the PRC. We show also that the presence of “sticky” phase–space structures tend to cause perturbative techniques to overestimate the frequencies and regularity of the oscillations. The phenomena we describe can all be observed in a simple 2D neuron model, which we choose for illustration as the PRC is widely used in mathematical neuroscience.en_GB
dc.description.sponsorshipKKL is supported in part by the US National Science Foundation (NSF) through grant DMS-0907927. KCAW and SC acknowledge support from the CMMB/MBI partnership for multiscale mathematical modelling in systems biology-United States Partnering Award; BB/G530484/1 Biotechnology and Biological Sciences Research Council (BBSRC). LSY is supported in part by NSF grant DMS-1101594.en_GB
dc.identifier.citationVol. 66 (1-2), pp. 139 - 161en_GB
dc.identifier.doi10.1007/s00285-012-0506-0
dc.identifier.urihttp://hdl.handle.net/10871/28860
dc.language.isoenen_GB
dc.publisherSpringer Verlagen_GB
dc.relation.urlhttps://www.ncbi.nlm.nih.gov/pubmed/22290314en_GB
dc.rights© The Author(s) 2012. This article is published with open access at Springerlink.com. This article is distributed under the terms of the Creative Commons Attribution License which permits any use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited.en_GB
dc.subjectAnimalsen_GB
dc.subjectElectrophysiological Phenomenaen_GB
dc.subjectMathematical Conceptsen_GB
dc.subjectModels, Biologicalen_GB
dc.subjectModels, Neurologicalen_GB
dc.subjectNeuronsen_GB
dc.subjectNonlinear Dynamicsen_GB
dc.subjectPeriodicityen_GB
dc.subjectStochastic Processesen_GB
dc.titleLimitations of perturbative techniques in the analysis of rhythms and oscillationsen_GB
dc.typeArticleen_GB
dc.date.available2017-08-10T12:37:05Z
exeter.place-of-publicationGermanyen_GB
dc.descriptionThis is the author accepted manuscript. The final version is available from Springer Verlag via the DOI in this recorden_GB
dc.identifier.journalJournal of Mathematical Biologyen_GB


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