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dc.contributor.advisor Timme, Marc Prof. Dr.
dc.contributor.author Casadiego Bastidas, Jose Luis
dc.date.accessioned 2016-12-16T09:44:09Z
dc.date.available 2016-12-16T09:44:09Z
dc.date.issued 2016-12-16
dc.identifier.uri http://hdl.handle.net/11858/00-1735-0000-002B-7CE4-3
dc.language.iso eng de
dc.relation.uri http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject.ddc 571.4 de
dc.title Network Dynamics as an Inverse Problem de
dc.title.alternative Reconstruction, Design and Optimality de
dc.type doctoralThesis de
dc.contributor.referee Kree, Reiner Prof. Dr.
dc.date.examination 2016-01-13
dc.description.abstracteng In this thesis, we take a general view on the study of networks from inverse perspectives. By proposing a general representation for the dynamics of networks in terms of explicit dependencies among units, we develop new concepts for understanding, among other things, (i) how disparate networks achieve identical dynamics, and (ii) how we may reconstruct the structural connectivity of networks regardless of the type of network under study (e.g. gene regulatory networks, metabolic networks or neural networks). Specifically, here we heavily rely on concepts and tools coming from nonlinear dynamics and linear algebra to introduce physics-inspired inverse approaches for explaining the fundamental mechanisms for revealing connections in networks. Furthermore, the content and results of this thesis are self-sufficient, such that the reader may not need to refer to additional scientific sources. de
dc.contributor.coReferee Parlitz, Ulrich Prof. Dr.
dc.contributor.thirdReferee Herminghaus, Stephan Prof. Dr.
dc.contributor.thirdReferee Geisel, Theo Prof. Dr.
dc.contributor.thirdReferee Cramer, Patrick Prof. Dr.
dc.subject.eng network + inference + reconstruction + inverse + dynamics + inferring + revealing + reconstructing + dynamical + systems + correlations + transfer + entropy + synaptic + connectivity + neural + connections + links + reveal + discover + ARNI + event + space de
dc.subject.eng explict + dependencies de
dc.identifier.urn urn:nbn:de:gbv:7-11858/00-1735-0000-002B-7CE4-3-7
dc.affiliation.institute Göttinger Graduiertenschule für Neurowissenschaften, Biophysik und molekulare Biowissenschaften (GGNB) de
dc.subject.gokfull Biologie (PPN619462639) de
dc.identifier.ppn 875067662

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