dc.creatorDaza Caro, Yudy Carolina
dc.creatorTauro, Carolina Beatriz
dc.creatorTamarit, Francisco
dc.creatorGleiser, Pablo Martin
dc.date.accessioned2018-01-09T22:10:43Z
dc.date.available2018-01-09T22:10:43Z
dc.date.created2018-01-09T22:10:43Z
dc.date.issued2014-10
dc.identifierDaza Caro, Yudy Carolina; Tauro, Carolina Beatriz; Tamarit, Francisco; Gleiser, Pablo Martin; Modeling spatial patterns in the visual cortex; American Physical Society; Physical Review E: Statistical, Nonlinear and Soft Matter Physics; 90; 4; 10-2014; 1-6; 042818
dc.identifier1539-3755
dc.identifierhttp://hdl.handle.net/11336/32770
dc.identifierCONICET Digital
dc.identifierCONICET
dc.description.abstractWe propose a model for the formation of patterns in the visual cortex. The dynamical units of the model are Kuramoto phase oscillators that interact through a complex network structure embedded in two dimensions. In this way the strength of the interactions takes into account the geographical distance between units. We show that for different parameters, clustered or striped patterns emerge. Using the structure factor as an order parameter we are able to quantitatively characterize these patterns and present a phase diagram. Finally, we show that the model is able to reproduce patterns with cardinal preference, as observed in ferrets.
dc.languageeng
dc.publisherAmerican Physical Society
dc.relationinfo:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1103/PhysRevE.90.042818
dc.relationinfo:eu-repo/semantics/altIdentifier/url/https://journals.aps.org/pre/abstract/10.1103/PhysRevE.90.042818
dc.rightshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectSpatial Patterns
dc.subjectComplex Networks
dc.subjectSynchronization
dc.titleModeling spatial patterns in the visual cortex
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:ar-repo/semantics/artículo
dc.typeinfo:eu-repo/semantics/publishedVersion


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