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dc.contributor.authorAshwin, Peteren_GB
dc.contributor.authorKarabacak, Ozkanen_GB
dc.contributor.authorNowotny, Thomasen_GB
dc.date.accessioned2013-03-07T14:03:20Zen_GB
dc.date.accessioned2013-03-20T12:42:44Z
dc.date.issued2011-11-28en_GB
dc.description.abstractWe introduce a test for robustness of heteroclinic cycles that appear in neural microcircuits modeled as coupled dynamical cells. Robust heteroclinic cycles (RHCs) can appear as robust attractors in Lotka-Volterra-type winnerless competition (WLC) models as well as in more general coupled and/or symmetric systems. It has been previously suggested that RHCs may be relevant to a range of neural activities, from encoding and binding to spatio-temporal sequence generation.The robustness or otherwise of such cycles depends both on the coupling structure and the internal structure of the neurons. We verify that robust heteroclinic cycles can appear in systems of three identical cells, but only if we require perturbations to preserve some invariant subspaces for the individual cells. On the other hand, heteroclinic attractors can appear robustly in systems of four or more identical cells for some symmetric coupling patterns, without restriction on the internal dynamics of the cells.en_GB
dc.identifier.citationVol. 1 (1), article 13en_GB
dc.identifier.doi10.1186/2190-8567-1-13en_GB
dc.identifier.urihttp://hdl.handle.net/10036/4436en_GB
dc.language.isoenen_GB
dc.publisherBioMed Central / SpringerOpenen_GB
dc.titleCriteria for robustness of heteroclinic cycles in neural microcircuits.en_GB
dc.typeArticleen_GB
dc.date.available2013-03-07T14:03:20Zen_GB
dc.date.available2013-03-20T12:42:44Z
dc.identifier.issn2190-8567en_GB
exeter.place-of-publicationGermanyen_GB
dc.descriptionCopyright © 2011 Ashwin et al.; licensee Springer. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.en_GB
dc.identifier.eissn2190-8567en_GB
dc.identifier.journalJournal of Mathematical Neuroscienceen_GB


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