Tetzlaff, Christian

[["dc.bibliographiccitation.firstpage","606"],["dc.bibliographiccitation.issue","2"],["dc.bibliographiccitation.journal","Network Neuroscience"],["dc.bibliographiccitation.lastpage","634"],["dc.bibliographiccitation.volume","3"],["dc.contributor.author","Herpich, Juliane"],["dc.contributor.author","Tetzlaff, Christian"],["dc.date.accessioned","2020-12-10T18:38:11Z"],["dc.date.available","2020-12-10T18:38:11Z"],["dc.date.issued","2019"],["dc.identifier.doi","10.1162/netn_a_00086"],["dc.identifier.pmid","31157312"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/77207"],["dc.identifier.url","https://sfb1286.uni-goettingen.de/literature/publications/5"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-354"],["dc.relation","SFB 1286: Quantitative Synaptologie"],["dc.relation","SFB 1286 | C01: Die plastizitätsabhängige räumliche und zeitliche Organisation von AMPA-Rezeptoren und Gerüstproteinen"],["dc.relation.workinggroup","RG Tetzlaff (Computational Neuroscience - Learning and Memory)"],["dc.title","Principles underlying the input-dependent formation and organization of memories"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.artnumber","26"],["dc.bibliographiccitation.journal","Frontiers in Computational Neuroscience"],["dc.bibliographiccitation.volume","13"],["dc.contributor.author","Lappalainen, Janne"],["dc.contributor.author","Herpich, Juliane"],["dc.contributor.author","Tetzlaff, Christian"],["dc.date.accessioned","2019-07-09T11:51:17Z"],["dc.date.available","2019-07-09T11:51:17Z"],["dc.date.issued","2019"],["dc.description.abstract","Synaptic plasticity serves as an essential mechanism underlying cognitive processes as learning and memory. For a better understanding detailed theoretical models combine experimental underpinnings of synaptic plasticity and match experimental results. However, these models are mathematically complex impeding the comprehensive investigation of their link to cognitive processes generally executed on the neuronal network level. Here, we derive a mathematical framework enabling the simplification of such detailed models of synaptic plasticity facilitating further mathematical analyses. By this framework we obtain a compact, firing-rate-dependent mathematical formulation, which includes the essential dynamics of the detailed model and, thus, of experimentally verified properties of synaptic plasticity. Amongst others, by testing our framework by abstracting the dynamics of two well-established calcium-dependent synaptic plasticity models, we derived that the synaptic changes depend on the square of the presynaptic firing rate, which is in contrast to previous assumptions. Thus, the here-presented framework enables the derivation of biologically plausible but simple mathematical models of synaptic plasticity allowing to analyze the underlying dependencies of synaptic dynamics from neuronal properties such as the firing rate and to investigate their implications in complex neuronal networks."],["dc.identifier.doi","10.3389/fncom.2019.00026"],["dc.identifier.pmid","31133837"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/16096"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/59918"],["dc.identifier.url","https://sfb1286.uni-goettingen.de/literature/publications/10"],["dc.language.iso","en"],["dc.relation","info:eu-repo/grantAgreement/EC/H2020/732266/EU//Plan4Act"],["dc.relation","SFB 1286: Quantitative Synaptologie"],["dc.relation","SFB 1286 | C01: Die plastizitätsabhängige räumliche und zeitliche Organisation von AMPA-Rezeptoren und Gerüstproteinen"],["dc.relation.workinggroup","RG Tetzlaff (Computational Neuroscience - Learning and Memory)"],["dc.subject.ddc","530"],["dc.title","A Theoretical Framework to Derive Simple, Firing-Rate-Dependent Mathematical Models of Synaptic Plasticity"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]