Reconstructing Network Dynamics of Coupled Discrete Chaotic Units from Data

dc.authoridTopal, Irem/0000-0002-4029-9954
dc.authoridEroglu, Deniz/0000-0001-6725-6949
dc.authorwosidEroglu, Deniz/F-9587-2013
dc.contributor.authorEroğlu, Deniz
dc.contributor.authorEroglu, Deniz
dc.date.accessioned2023-10-19T15:11:33Z
dc.date.available2023-10-19T15:11:33Z
dc.date.issued2023
dc.department-temp[Topal, Irem; Eroglu, Deniz] Kadir Has Univ, Fac Engn & Nat Sci, TR-34083 Istanbul, Turkiyeen_US
dc.description.abstractReconstructing network dynamics from data is crucial for predicting the changes in the dynamics of complex systems such as neuron networks; however, previous research has shown that the reconstruction is possible under strong constraints such as the need for lengthy data or small system size. Here, we present a recovery scheme blending theoretical model reduction and sparse recovery to identify the governing equations and the interactions of weakly coupled chaotic maps on complex networks, easing unrealistic constraints for real-world applications. Learning dynamics and connectivity lead to detecting critical transitions for parameter changes. We apply our technique to realistic neuronal systems with and without noise on a real mouse neocortex and artificial networks.en_US
dc.description.sponsorshipScientific and Technological Research Council of Turkey (TUBITAK) [118C236]; BAGEP Award of the Science Academyen_US
dc.description.sponsorshipWe are indebted to Tiago Pereira, Matteo Tanzi, Sajjad Bakrani, Arash Rezaeinazhad, Thomas Peron, and Jeroen Lamb for enlightening discussions. This work was supported by The Scientific and Technological Research Council of Turkey (TUBITAK) under Grant No. 118C236. D. E. acknowledges support from the BAGEP Award of the Science Academy.en_US
dc.identifier.citation3
dc.identifier.doi10.1103/PhysRevLett.130.117401en_US
dc.identifier.issn0031-9007
dc.identifier.issn1079-7114
dc.identifier.issue11en_US
dc.identifier.pmid37001085en_US
dc.identifier.scopus2-s2.0-85151297304en_US
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.1103/PhysRevLett.130.117401
dc.identifier.urihttps://hdl.handle.net/20.500.12469/5079
dc.identifier.volume130en_US
dc.identifier.wosWOS:000954803100013en_US
dc.identifier.wosqualityQ1
dc.khas20231019-WoSen_US
dc.language.isoenen_US
dc.publisherAmer Physical Socen_US
dc.relation.ispartofPhysical Review Lettersen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.titleReconstructing Network Dynamics of Coupled Discrete Chaotic Units from Dataen_US
dc.typeArticleen_US
dspace.entity.typePublication
relation.isAuthorOfPublication5bae555f-a8aa-4b95-bcfe-54cc47812e13
relation.isAuthorOfPublication.latestForDiscovery5bae555f-a8aa-4b95-bcfe-54cc47812e13

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