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dc.contributor.authorNiederberger, Thomas-
dc.contributor.authorMerlo, Olivier-
dc.contributor.authorOtt, Thomas-
dc.date.accessioned2018-03-28T14:37:11Z-
dc.date.available2018-03-28T14:37:11Z-
dc.date.issued2011-
dc.identifier.urihttp://www.ieice.org/proceedings/NOLTA2011/nolta11fullvol.pdfde_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/4408-
dc.description.abstractPredator-prey models have been attracting the interest of researchers in the field of non-linear dynamics for many decades. In this contribution, we present a novel predator-prey model based on two coupled populations of Hopfield-type neurons. The model exhibits a rich structure of fixed points and periodic and quasi-periodic solutions. We explore it by means of numerical simulations and support our findings with analytical arguments. Furthermore, we show that the equilibrium equations of our model can be understood as meanfield equations of a magnetic spin model. This finding provides an interesting interpretation of predator-prey dynamics in terms of different magnetic phases.de_CH
dc.language.isoende_CH
dc.publisherIECEde_CH
dc.rightsLicence according to publishing contractde_CH
dc.subject.ddc003: Systemede_CH
dc.titlePredator-prey dynamics in Hopfield-type networksde_CH
dc.typeKonferenz: Paperde_CH
dcterms.typeTextde_CH
zhaw.departementLife Sciences und Facility Managementde_CH
zhaw.organisationalunitInstitut für Computational Life Sciences (ICLS)de_CH
zhaw.conference.detailsInternational Symposium on Nonlinear Theory and its Applications (NOLTA2011), Kobe, Japan, 4-7 September 2011de_CH
zhaw.funding.euNode_CH
zhaw.originated.zhawYesde_CH
zhaw.pages.end544de_CH
zhaw.pages.start541de_CH
zhaw.publication.statuspublishedVersionde_CH
zhaw.publication.reviewPeer review (Publikation)de_CH
zhaw.title.proceedingsProceedings of the 2011 International Symposium on Nonlinear Theory and its Applications (NOLTA2011)de_CH
zhaw.webfeedBio-Inspired Modelling and Learning Systemsde_CH
Appears in collections:Publikationen Life Sciences und Facility Management

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