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dc.contributor.authorCreaser, J
dc.contributor.authorAshwin, P
dc.contributor.authorTsaneva-Atanasova, K
dc.date.accessioned2020-10-08T09:12:11Z
dc.date.issued2020-12-17
dc.description.abstractProgression through different synchronized and desynchronized regimes in brain networks has been reported to reflect physiological and behavioral states such as working memory and attention. Moreover, intracranial recordings of epileptic seizures show a progression towards synchronization as brain regions are recruited and the seizures evolve. In this paper, we build on our previous work on noise induced transitions on networks to explore the interplay between transitions and synchronization. We consider a bistable dynamical system that is initially at a stable equilibrium (quiescent) that co-exists with an oscillatory state (active). Addition of noise will typically lead to escape from the quiescent to the active state. If a number of such systems are coupled, these escapes can spread sequentially in the manner of a “domino effect”. We illustrate our findings numerically in an example system with three coupled nodes. We first show that a symmetrically coupled network with amplitude dependent coupling exhibits new phenomena of accelerating and decelerating-domino effect modulated by the strength and sign of the coupling. This is quantified by numerically computing escape times for the system with weak coupling. We then apply amplitude-phase dependent coupling and explore the interplay between synchronized and desynchronized dynamics in the system. We consider escape phases between nodes where the cascade of noise-induced escapes is associated with various types of partial synchrony along the sequence. We show examples for the three node system in which there is multi-stability between in-phase and anti-phase solutions where solutions switch between the two as the sequence of escapes progresses.en_GB
dc.description.sponsorshipEngineering and Physical Sciences Research Council (EPSRC)en_GB
dc.description.sponsorshipMedical Research Council (MRC)en_GB
dc.description.sponsorshipTechnical University of Munich – Institute for Advanced Studyen_GB
dc.description.sponsorshipGerman Excellence Initiativeen_GB
dc.identifier.citationVol. 19 (4), pp. 2829 – 2846en_GB
dc.identifier.doi10.1137/20M1345773
dc.identifier.grantnumberEP/N014391/1en_GB
dc.identifier.grantnumberMR/S019499/1en_GB
dc.identifier.urihttp://hdl.handle.net/10871/123143
dc.language.isoenen_GB
dc.publisherSociety for Industrial and Applied Mathematicsen_GB
dc.rights© 2020, Society for Industrial and Applied Mathematics
dc.subjectgeneralized Hopf normal formen_GB
dc.subjectescape phaseen_GB
dc.subjectescape timeen_GB
dc.subjectsequential escapeen_GB
dc.subjectnoise-induced transitionen_GB
dc.titleSequential escapes and synchrony breaking for networks of bistable oscillatory nodesen_GB
dc.typeArticleen_GB
dc.date.available2020-10-08T09:12:11Z
dc.identifier.issn1536-0040
dc.descriptionThis is the final version. Available from the Society for Industrial and Applied Mathematics via the DOI in this recorden_GB
dc.identifier.journalSIAM Journal on Applied Dynamical Systemsen_GB
dc.rights.urihttp://www.rioxx.net/licenses/all-rights-reserveden_GB
dcterms.dateAccepted2020-10-07
exeter.funder::Engineering and Physical Sciences Research Council (EPSRC)en_GB
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2020-10-07
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2020-10-07T19:28:28Z
refterms.versionFCDAM
refterms.dateFOA2021-01-15T14:45:05Z
refterms.panelBen_GB


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