Parlitz, Ulrich

[["dc.bibliographiccitation.firstpage","51"],["dc.bibliographiccitation.journal","Progress in Biophysics and Molecular Biology"],["dc.bibliographiccitation.lastpage","60"],["dc.bibliographiccitation.volume","144"],["dc.contributor.author","Schlick, Susanne F."],["dc.contributor.author","Spreckelsen, Florian"],["dc.contributor.author","Tiburcy, Malte"],["dc.contributor.author","Iyer, Lavanya M."],["dc.contributor.author","Meyer, Tim"],["dc.contributor.author","Zelarayan, Laura C."],["dc.contributor.author","Luther, Stefan"],["dc.contributor.author","Parlitz, Ulrich"],["dc.contributor.author","Zimmermann, Wolfram-Hubertus"],["dc.contributor.author","Rehfeldt, Florian"],["dc.date.accessioned","2020-12-10T15:20:42Z"],["dc.date.available","2020-12-10T15:20:42Z"],["dc.date.issued","2019"],["dc.description.abstract","Cardiomyocyte and stroma cell cross-talk is essential for the formation of collagen-based engineered heart muscle, including engineered human myocardium (EHM). Fibroblasts are a main component of the myocardial stroma. We hypothesize that fibroblasts, by compacting the surrounding collagen network, support the self-organization of cardiomyocytes into a functional syncytium. With a focus on early self-organization processes in EHM, we studied the molecular and biophysical adaptations mediated by defined populations of fibroblasts and embryonic stem cell-derived cardiomyocytes in a collagen type I hydrogel. After a short phase of cell-independent collagen gelation (30 min), tissue compaction was progressively mediated by fibroblasts. Fibroblast-mediated tissue stiffening was attenuated in the presence of cardiomyocytes allowing for the assembly of stably contracting, force-generating EHM within 4 weeks. Comparative RNA-sequencing data corroborated that fibroblasts are particularly sensitive to the tissue compaction process, resulting in the fast activation of transcription profiles, supporting heart muscle development and extracellular matrix synthesis. Large amplitude oscillatory shear (LAOS) measurements revealed nonlinear strain stiffening at physiological strain amplitudes (>2%), which was reduced in the presence of cells. The nonlinear stress-strain response could be characterized by a mathematical model. Collectively, our study defines the interplay between fibroblasts and cardiomyocytes during human heart muscle self-organization in vitro and underscores the relevance of fibroblasts in the biological engineering of a cardiomyogenesis-supporting viscoelastic stroma. We anticipate that the established mathematical model will facilitate future attempts to optimize EHM for in vitro (disease modelling) and in vivo applications (heart repair)."],["dc.identifier.doi","10.1016/j.pbiomolbio.2018.11.011"],["dc.identifier.pmid","30553553"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/72769"],["dc.identifier.url","https://sfb1002.med.uni-goettingen.de/production/literature/publications/248"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-354"],["dc.relation","SFB 1002: Modulatorische Einheiten bei Herzinsuffizienz"],["dc.relation","SFB 1002 | C04: Fibroblasten-Kardiomyozyten Interaktion im gesunden und erkrankten Herzen: Mechanismen und therapeutische Interventionen bei Kardiofibroblastopathien"],["dc.relation","SFB 1002 | S01: In vivo und in vitro Krankheitsmodelle"],["dc.relation.workinggroup","RG Luther (Biomedical Physics)"],["dc.relation.workinggroup","RG Tiburcy (Stem Cell Disease Modeling)"],["dc.relation.workinggroup","RG Zelarayán-Behrend (Developmental Pharmacology)"],["dc.relation.workinggroup","RG Zimmermann (Engineered Human Myocardium)"],["dc.rights","CC BY 4.0"],["dc.title","Agonistic and antagonistic roles of fibroblasts and cardiomyocytes on viscoelastic stiffening of engineered human myocardium"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","original_ja"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","073123"],["dc.bibliographiccitation.issue","7"],["dc.bibliographiccitation.journal","Chaos: An Interdisciplinary Journal of Nonlinear Science"],["dc.bibliographiccitation.volume","30"],["dc.contributor.author","Hegedűs, F."],["dc.contributor.author","Krähling, P."],["dc.contributor.author","Aron, M."],["dc.contributor.author","Lauterborn, W."],["dc.contributor.author","Mettin, R."],["dc.contributor.author","Parlitz, U."],["dc.date.accessioned","2021-04-14T08:25:38Z"],["dc.date.available","2021-04-14T08:25:38Z"],["dc.date.issued","2020"],["dc.identifier.doi","10.1063/5.0005424"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/81694"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-399"],["dc.relation.eissn","1089-7682"],["dc.relation.issn","1054-1500"],["dc.title","Feedforward attractor targeting for non-linear oscillators using a dual-frequency driving technique"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.artnumber","036209"],["dc.bibliographiccitation.issue","3"],["dc.bibliographiccitation.journal","PHYSICAL REVIEW E"],["dc.bibliographiccitation.volume","86"],["dc.contributor.author","Suetani, Hiromichi"],["dc.contributor.author","Soejima, Karin"],["dc.contributor.author","Matsuoka, Rei"],["dc.contributor.author","Parlitz, Ulrich"],["dc.contributor.author","Hata, Hiroki"],["dc.date.accessioned","2018-11-07T09:05:51Z"],["dc.date.available","2018-11-07T09:05:51Z"],["dc.date.issued","2012"],["dc.description.abstract","Dripping water from a faucet is a typical example exhibiting rich nonlinear phenomena. For such a system, the time stamps at which water drops separate from the faucet can be directly observed in real experiments, and the time series of intervals tau(n) between drop separations becomes a subject of analysis. Even if the mass m(n) of a drop at the onset of the nth separation, which is difficult to observe experimentally, exhibits perfectly deterministic dynamics, it may be difficult to obtain the same information about the underlying dynamics from the time series tau(n). This is because the return plot tau(n-1) vs. tau(n) may become a multivalued relation (i.e., it doesn't represent a function describing deterministic dynamics). In this paper, we propose a method to construct a nonlinear coordinate which provides a \"surrogate\" of the internal state m(n) from the time series of tau(n). Here, a key of the proposed approach is to use ISOMAP, which is a well-known method of manifold learning. We first apply it to the time series of tau(n) generated from the numerical simulation of a phenomenological mass-spring model for the dripping faucet system. It is shown that a clear one-dimensional map is obtained by the proposed approach, whose characteristic quantities such as the Lyapunov exponent, the topological entropy, and the time correlation function coincide with the original dripping faucet system. Furthermore, we also analyze data obtained from real dripping faucet experiments, which also provide promising results."],["dc.identifier.doi","10.1103/PhysRevE.86.036209"],["dc.identifier.isi","000308873100003"],["dc.identifier.pmid","23030999"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/25418"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Amer Physical Soc"],["dc.relation.issn","2470-0053"],["dc.relation.issn","2470-0045"],["dc.title","Manifold learning approach for chaos in the dripping faucet"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","093701"],["dc.bibliographiccitation.issue","9"],["dc.bibliographiccitation.journal","Chaos: An Interdisciplinary Journal of Nonlinear Science"],["dc.bibliographiccitation.volume","27"],["dc.contributor.author","Cherry, Elizabeth M."],["dc.contributor.author","Fenton, Flavio H."],["dc.contributor.author","Krogh-Madsen, Trine"],["dc.contributor.author","Luther, Stefan"],["dc.contributor.author","Parlitz, Ulrich"],["dc.date.accessioned","2020-12-10T18:12:37Z"],["dc.date.available","2020-12-10T18:12:37Z"],["dc.date.issued","2017"],["dc.identifier.doi","10.1063/1.5003940"],["dc.identifier.eissn","1089-7682"],["dc.identifier.issn","1054-1500"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/74442"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-354"],["dc.title","Introduction to Focus Issue: Complex Cardiac Dynamics"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","23"],["dc.bibliographiccitation.journal","Neural Networks"],["dc.bibliographiccitation.lastpage","29"],["dc.bibliographiccitation.volume","115"],["dc.contributor.author","Thiede, Luca Anthony"],["dc.contributor.author","Parlitz, Ulrich"],["dc.date.accessioned","2020-12-10T15:20:27Z"],["dc.date.available","2020-12-10T15:20:27Z"],["dc.date.issued","2019"],["dc.identifier.doi","10.1016/j.neunet.2019.02.001"],["dc.identifier.issn","0893-6080"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/72671"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-354"],["dc.title","Gradient based hyperparameter optimization in Echo State Networks"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.artnumber","20140093"],["dc.bibliographiccitation.issue","2034"],["dc.bibliographiccitation.journal","Philosophical Transactions of the Royal Society of London. A, Mathematical, Physical and Engineering Sciences"],["dc.bibliographiccitation.volume","373"],["dc.contributor.author","Schlemmer, Alexander"],["dc.contributor.author","Parlitz, Ulrich"],["dc.contributor.author","Luther, S."],["dc.contributor.author","Wessel, N."],["dc.contributor.author","Penzel, Thomas"],["dc.date.accessioned","2018-11-07T10:00:56Z"],["dc.date.available","2018-11-07T10:00:56Z"],["dc.date.issued","2015"],["dc.description.abstract","Transition patterns between different sleep stages are analysed in terms of probability distributions of symbolic sequences for young and old subjects with and without sleep disorder. Changes of these patterns due to ageing are compared with variations of transition probabilities due to sleep disorder."],["dc.identifier.doi","10.1098/rsta.2014.0093"],["dc.identifier.isi","000346962100006"],["dc.identifier.pmid","25548271"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/37911"],["dc.identifier.url","https://sfb1002.med.uni-goettingen.de/production/literature/publications/120"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.relation","SFB 1002: Modulatorische Einheiten bei Herzinsuffizienz"],["dc.relation","SFB 1002 | C03: Erholung nach Herzinsuffizienz: Analyse der transmuralen mechano-elektrischen Funktionsstörung"],["dc.relation.issn","1471-2962"],["dc.relation.issn","1364-503X"],["dc.relation.workinggroup","RG Luther (Biomedical Physics)"],["dc.title","Changes of sleep-stage transitions due to ageing and sleep disorder"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.artnumber","063040"],["dc.bibliographiccitation.journal","New Journal of Physics"],["dc.bibliographiccitation.volume","19"],["dc.contributor.author","Stein, Sebastian"],["dc.contributor.author","Luther, Stefan"],["dc.contributor.author","Parlitz, Ulrich"],["dc.date.accessioned","2018-11-07T10:22:28Z"],["dc.date.available","2018-11-07T10:22:28Z"],["dc.date.issued","2017"],["dc.description.abstract","We investigate a system of two viscoelastically coupled, modified Van der Pol oscillators to compare their synchronization properties due to elastic and viscoelastic coupling. We show that viscoelastic coupling leads to in-phase synchronization while elastic coupling favours anti-phase synchronization. To study the impact of symmetry and nonlinearity, the restoring forces in the Van der Pol oscillators are extended to include nonlinear and asymmetric components. If the asymmetry, or rather the nonlinearity, of the restoring forces exceeds a certain threshold, only in-phase synchronized motion is found to be stable. Another important finding is that chaotic solutions can only be found if the restoring forces are asymmetric and the coupling incorporates viscosity."],["dc.description.sponsorship","German Research Foundation (DFG) [SFB 937]"],["dc.identifier.doi","10.1088/1367-2630/aa6d4a"],["dc.identifier.isi","000404761900003"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/14652"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/42284"],["dc.notes.intern","Merged from goescholar"],["dc.notes.intern","Merged from goescholar"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","PUB_WoS_Import"],["dc.publisher","Iop Publishing Ltd"],["dc.relation.haserratum","/handle/2/74922"],["dc.relation.issn","1367-2630"],["dc.relation.orgunit","Fakultät für Physik"],["dc.rights","CC BY 3.0"],["dc.rights.uri","https://creativecommons.org/licenses/by/3.0/"],["dc.title","Impact of viscoelastic coupling on the synchronization of symmetric and asymmetric self-sustained oscillators"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.artnumber","062916"],["dc.bibliographiccitation.issue","6"],["dc.bibliographiccitation.journal","PHYSICAL REVIEW E"],["dc.bibliographiccitation.volume","90"],["dc.contributor.author","Rey, Daniel"],["dc.contributor.author","Eldridge, Michael"],["dc.contributor.author","Morone, Uriel"],["dc.contributor.author","Abarbanel, Henry D. I."],["dc.contributor.author","Parlitz, Ulrich"],["dc.contributor.author","Schumann-Bischoff, Jan"],["dc.date.accessioned","2018-11-07T09:31:08Z"],["dc.date.available","2018-11-07T09:31:08Z"],["dc.date.issued","2014"],["dc.description.abstract","Information in measurements of a nonlinear dynamical system can be transferred to a quantitative model of the observed system to establish its fixed parameters and unobserved state variables. After this learning period is complete, one may predict the model response to new forces and, when successful, these predictions will match additional observations. This adjustment process encounters problems when the model is nonlinear and chaotic because dynamical instability impedes the transfer of information from the data to the model when the number of measurements at each observation time is insufficient. We discuss the use of information in the waveform of the data, realized through a time delayed collection of measurements, to provide additional stability and accuracy to this search procedure. Several examples are explored, including a few familiar nonlinear dynamical systems and small networks of Colpitts oscillators."],["dc.identifier.doi","10.1103/PhysRevE.90.062916"],["dc.identifier.isi","000346833500012"],["dc.identifier.pmid","25615173"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/31473"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Amer Physical Soc"],["dc.relation.issn","1550-2376"],["dc.relation.issn","1539-3755"],["dc.title","Using waveform information in nonlinear data assimilation"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.artnumber","056217"],["dc.bibliographiccitation.issue","5"],["dc.bibliographiccitation.journal","PHYSICAL REVIEW E"],["dc.bibliographiccitation.volume","70"],["dc.contributor.author","Langer, G."],["dc.contributor.author","Parlitz, Ulrich"],["dc.date.accessioned","2018-11-07T10:44:28Z"],["dc.date.available","2018-11-07T10:44:28Z"],["dc.date.issued","2004"],["dc.description.abstract","Two approaches for modeling of parameter dependence of dynamical systems from time series are investigated and applied to different examples. For both methods it is assumed that a few Lime series are available that have been measured for different (known) parameter values of the underlying (experimental) dynamical System. The objective is to model the changing dynamics of the system as a function of its parameters and to use this for experimental bifurcation analysis. Using parametrized families the tasks of modeling the dynamics and of modeling its parameter dependence are separated. Technical difficulties that may occur with this approach are discussed and illustrated. An alternative are extended state space models where both modeling, tasks are treated simultaneously. To obtain reliable models from a few time series only, ensembles of models are employed that show very good extrapolation and generalization properties."],["dc.identifier.doi","10.1103/PhysRevE.70.056217"],["dc.identifier.isi","000225970700065"],["dc.identifier.pmid","15600738"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/47273"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Amer Physical Soc"],["dc.relation.issn","2470-0053"],["dc.relation.issn","2470-0045"],["dc.title","Modeling parameter dependence from time series"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.artnumber","016206"],["dc.bibliographiccitation.issue","1"],["dc.bibliographiccitation.journal","PHYSICAL REVIEW E"],["dc.bibliographiccitation.volume","72"],["dc.contributor.author","Ahlborn, A."],["dc.contributor.author","Parlitz, Ulrich"],["dc.date.accessioned","2018-11-07T09:38:20Z"],["dc.date.available","2018-11-07T09:38:20Z"],["dc.date.issued","2005"],["dc.description.abstract","Multiple delay feedback control (MDFC) with two, three, or four different and independent delay times is used to stabilize steady states of various chaotic dynamical systems. A comparison with delayed feedback control methods that are based on a single (fundamental) delay time [Pyragas' time delay auto synchronization (TDAS) and extended TDAS] shows that MDFC is more effective for fixed point stabilization in terms of stability and flexibility, in particular for large delay times."],["dc.identifier.doi","10.1103/PhysRevE.72.016206"],["dc.identifier.isi","000230887100043"],["dc.identifier.pmid","16090065"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/33046"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","American Physical Soc"],["dc.relation.issn","1539-3755"],["dc.title","Controlling dynamical systems using multiple delay feedback control"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dspace.entity.type","Publication"]]