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Timme, Marc
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Timme, Marc
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Timme, Marc
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Timme, M.
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2009Journal Article [["dc.bibliographiccitation.issue","Suppl 1"],["dc.bibliographiccitation.journal","BMC Neuroscience"],["dc.bibliographiccitation.lastpage","2"],["dc.bibliographiccitation.volume","10"],["dc.contributor.author","Jahnke, S."],["dc.contributor.author","Memmesheimer, R. M."],["dc.contributor.author","Timme, M."],["dc.date.accessioned","2011-04-06T10:10:35Z"],["dc.date.accessioned","2021-10-11T11:34:46Z"],["dc.date.available","2011-04-06T10:10:35Z"],["dc.date.available","2021-10-11T11:34:46Z"],["dc.date.issued","2009"],["dc.identifier.citation","Jahnke, S; Memmesheimer, RM; Timme, M (2009): How chaotic is the balanced state? - BMC Neuroscience, Vol. 10, Nr. Suppl 1, p. O20-"],["dc.identifier.doi","10.1186/1471-2202-10-S1-O20"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/6049"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/90698"],["dc.language.iso","en"],["dc.notes.intern","Merged from goescholar"],["dc.relation.orgunit","Fakultät für Physik"],["dc.rights","Goescholar"],["dc.rights.access","openAccess"],["dc.rights.uri","http://goedoc.uni-goettingen.de/licenses"],["dc.subject","balanced state"],["dc.subject.ddc","530"],["dc.subject.ddc","573"],["dc.subject.ddc","573.8"],["dc.subject.ddc","612"],["dc.subject.ddc","612.8"],["dc.title","How chaotic is the balanced state?"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]Details DOI2011Journal Article [["dc.bibliographiccitation.artnumber","P372"],["dc.bibliographiccitation.issue","Suppl 1"],["dc.bibliographiccitation.journal","BMC Neuroscience"],["dc.bibliographiccitation.volume","12"],["dc.contributor.author","Tetzlaff, Christian"],["dc.contributor.author","Kolodziejski, Christoph"],["dc.contributor.author","Timme, Marc"],["dc.contributor.author","Wörgötter, Florentin"],["dc.date.accessioned","2011-07-22T22:25:45Z"],["dc.date.accessioned","2011-07-23T15:34:56Z"],["dc.date.accessioned","2021-10-11T11:26:03Z"],["dc.date.available","2011-07-22T22:25:45Z"],["dc.date.available","2011-07-23T15:34:56Z"],["dc.date.available","2021-10-11T11:26:03Z"],["dc.date.issued","2011"],["dc.date.updated","2011-07-22T22:25:46Z"],["dc.identifier.doi","10.1186/1471-2202-12-S1-P372"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/6832"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/90535"],["dc.language.iso","en"],["dc.notes.intern","Merged from goescholar"],["dc.relation.orgunit","Fakultät für Physik"],["dc.rights","CC BY 2.0"],["dc.rights.access","openAccess"],["dc.rights.holder","et al.; licensee BioMed Central Ltd."],["dc.rights.uri","http://creativecommons.org/licenses/by/2.0/"],["dc.subject.ddc","530"],["dc.subject.ddc","573"],["dc.subject.ddc","573.8"],["dc.subject.ddc","612"],["dc.subject.ddc","612.8"],["dc.title","Synaptic scaling generically stabilizes circuit connectivity"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]Details DOI2009Journal Article [["dc.bibliographiccitation.artnumber","P152"],["dc.bibliographiccitation.issue","Suppl 1"],["dc.bibliographiccitation.journal","BMC Neuroscience"],["dc.bibliographiccitation.lastpage","2"],["dc.bibliographiccitation.volume","10"],["dc.contributor.author","Kriener, Birgit"],["dc.contributor.author","Timme, Marc"],["dc.date.accessioned","2011-04-14T14:19:54Z"],["dc.date.accessioned","2021-10-11T11:24:54Z"],["dc.date.available","2011-04-14T14:19:54Z"],["dc.date.available","2021-10-11T11:24:54Z"],["dc.date.issued","2009"],["dc.identifier.citation","Kriener, Birgit; Timme, Marc (2009): How network structure shapes pairwise correlations between integrate-and-fire neurons - BMC Neuroscience, Vol. 10, Nr. Suppl 1, p. P152-"],["dc.identifier.doi","10.1186/1471-2202-10-S1-P152"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/6133"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/90530"],["dc.language.iso","en"],["dc.notes.intern","Merged from goescholar"],["dc.relation.orgunit","Fakultät für Physik"],["dc.rights","Goescholar"],["dc.rights.access","openAccess"],["dc.rights.uri","http://goedoc.uni-goettingen.de/licenses"],["dc.subject","network structure"],["dc.subject.ddc","530"],["dc.subject.ddc","573"],["dc.subject.ddc","573.8"],["dc.subject.ddc","612"],["dc.subject.ddc","612.8"],["dc.title","How network structure shapes pairwise correlations between integrate-and-fire neurons"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]Details DOI2009Journal Article [["dc.bibliographiccitation.firstpage","O17"],["dc.bibliographiccitation.issue","Suppl 1"],["dc.bibliographiccitation.journal","BMC Neuroscience"],["dc.bibliographiccitation.volume","10"],["dc.contributor.author","Kirst, Christoph"],["dc.contributor.author","Timme, Marc"],["dc.date.accessioned","2011-04-06T09:55:49Z"],["dc.date.accessioned","2021-10-11T11:34:52Z"],["dc.date.available","2011-04-06T09:55:49Z"],["dc.date.available","2021-10-11T11:34:52Z"],["dc.date.issued","2009"],["dc.identifier.citation","Kirst, Christoph; Timme, Marc (2009): Partial response to supra-threshold excitation desynchronizes spiking neurons - BMC Neuroscience, Vol. 10, Nr. Suppl 1, p. O17-"],["dc.identifier.doi","10.1186/1471-2202-10-S1-O17"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/6047"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/90709"],["dc.language.iso","en"],["dc.notes.intern","Merged from goescholar"],["dc.relation.orgunit","Fakultät für Physik"],["dc.rights","Goescholar"],["dc.rights.access","openAccess"],["dc.rights.uri","https://goedoc.uni-goettingen.de/licenses"],["dc.subject","spiking neurons"],["dc.subject.ddc","530"],["dc.subject.ddc","573"],["dc.subject.ddc","573.8"],["dc.subject.ddc","612"],["dc.subject.ddc","612.8"],["dc.title","Partial response to supra-threshold excitation desynchronizes spiking neurons"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]Details DOI2017Journal Article [["dc.bibliographiccitation.artnumber","2192"],["dc.bibliographiccitation.issue","1"],["dc.bibliographiccitation.journal","Nature Communications"],["dc.bibliographiccitation.volume","8"],["dc.contributor.author","Casadiego, Jose"],["dc.contributor.author","Nitzan, Mor"],["dc.contributor.author","Hallerberg, Sarah"],["dc.contributor.author","Timme, Marc"],["dc.date.accessioned","2019-07-09T11:44:59Z"],["dc.date.available","2019-07-09T11:44:59Z"],["dc.date.issued","2017"],["dc.description.abstract","The topology of interactions in network dynamical systems fundamentally underlies their function. Accelerating technological progress creates massively available data about collective nonlinear dynamics in physical, biological, and technological systems. Detecting direct interaction patterns from those dynamics still constitutes a major open problem. In particular, current nonlinear dynamics approaches mostly require to know a priori a model of the (often high dimensional) system dynamics. Here we develop a model-independent framework for inferring direct interactions solely from recording the nonlinear collective dynamics generated. Introducing an explicit dependency matrix in combination with a block-orthogonal regression algorithm, the approach works reliably across many dynamical regimes, including transient dynamics toward steady states, periodic and non-periodic dynamics, and chaos. Together with its capabilities to reveal network (two point) as well as hypernetwork (e.g., three point) interactions, this framework may thus open up nonlinear dynamics options of inferring direct interaction patterns across systems where no model is known."],["dc.identifier.doi","10.1038/s41467-017-02288-4"],["dc.identifier.pmid","29259167"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/14989"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/59134"],["dc.language.iso","en"],["dc.notes.intern","Merged from goescholar"],["dc.relation.issn","2041-1723"],["dc.rights","CC BY 4.0"],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0"],["dc.subject.ddc","006"],["dc.subject.ddc","573"],["dc.subject.ddc","612"],["dc.title","Model-free inference of direct network interactions from nonlinear collective dynamics."],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]Details DOI PMID PMC