Publications – University of Copenhagen

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Dynamical Systems > Publications

At this page, you will find a list of publications based on research performed as part of the project.

In the Acknowledgement in your papers please write: The work is part of the Dynamical Systems Interdisciplinary Network, University of Copenhagen.


Alexandre Iolov, Susanne Ditlevsen and Andre Longtin: Optimal Design for Estimation in Diffusion Processes from First Hitting Times. SIAM Journal on Uncertainty Quantification, 5(1), 88-110, 2017.

Kang Li, Vladislav Kozyrev, Søren Kyllingsbæk, Stefan Treue, Susanne Ditlevsen and Claus Bundesen: Neurons in primate visual cortex alternate between responses to competing stimuli in their receptive field. Frontiers in Computational Neuroscience, 10:141, 2016. DOI:10.3389/fncom.2016.00141.

Henry C. Tuckwell and Susanne Ditlevsen: The space-clamped Hodgkin-Huxley system with random synaptic input: inhibition of spiking by weak noise and analysis with moment equations. Neural Computation, 28:10, 2129-2161, 2016.

Jensen, KHR, RW Berg "CLARITY-compatible lipophilic dyes for electrode marking and neuronal tracing" Scientific Reports, 6:32674, 2016,

Peter C Petersen, Rune W Berg "Lognormal firing rate distribution reveals prominent fluctuation–driven regime in spinal motor networks". eLife 2016;5:e18805

Kang Li, Claus Bundesen and Susanne Ditlevsen: Responses of Leaky Integrate-and-Fire Neurons to a Plurality of Stimuli in Their Receptive FieldsJournal of Mathematical Neuroscience, 6:8, 2016, doi: 10.1186/s13408-016-0040-2.

Susanne Ditlevsen and Adeline Samson: Parameter estimation in neuronal stochastic differential equation models from intracellular recordings of membrane potentials in single neurons: a ReviewJournal de la Société Française de Statistique, 157(1), 6-16, 2016.

Erik A. Martens, Christian Bick, Mark J. Panaggio
Chimera States in Two Populations with Heterogeneous Phase-lag
Chaos 26 (9), 094819 (2016);; arXiv:1606.0187 

Bick, C., & Martens, E. A. Controlling Chimeras. New Journal of Physics, 17, 033030 (2015).

Martens, E. A., Wadhwa, N., Jacobsen, N. S., Lindemann, C., Andersen, K. H., & de Visser, A. Size Structures Sensory Hierarchy in Ocean Life. Proc. R. Soc. London B, 282 (1815), 20151346 (2015).

Olmi, S., Martens, E. a., Thutupalli, S., & Torcini, A. Intermittent chaotic chimeras for coupled rotators. Phys. Rev. E Rapid Communications, 92, 030901 (2015).

Andersen, K. H., Martens, E. A., & Al., E. Characteristic sizes of life in the oceans, from bacteria to whales. Annual Review of Marine Science, 8(3), 1–25 (2016).

Martens, E. A., Panaggio, M. J., & Abrams, D. M. Basins of Attraction for Chimera States. New Journal of Physics, Fast Track Communication, 18, 022002 (2016).

Blurton, S. P., Greenlee, M. W., & Gondan, M. (2015). Cross-modal cueing in audiovisual spatial attention. Attention, Perception, & Psychophysics, 77, 2356–2376. Doi: 10.3758/s13414-015-0920-7

D.D Postnov, N.-H. Holstein-Rathlou, and O. Sosnovtseva, Laser speckle imaging of intra organ drug distribution, Biomedical Optics Express Vol. 6, Issue 12, pp. 5055-5062, doi: 10.1364/BOE.6.005055 (2015).

Marie Levakova, Massimiliano Tamborrino, Susanne Ditlevsen, Petr Lansky: A review of the methods for neuronal response latency estimationBioSystems, 136:23-34, 2015.

Große Ruse, Mareile and Ritz, Christian and Hothorn, Ludwig A.: Simultaneous inference of a binary composite endpoint and its components, Journal of Biopharmaceutical Statistics, 2016, doi = 10.1080/10543406.2016.1148704

Mareile Große Ruse and Dennis Hasselquist and Bengt Hansson and Maja Tarka and Maria Sandsten: Automated analysis of song structure in complex birdsongs, Animal Behaviour, 112: 39 - 51, 2016. doi =

Mareile Große Ruse, Lasse R. Søndergaard, Susanne Ditlevsen, Morten Damgaard, Stefan Fuglsang, Johnny T. Ottesen, and Jan L. Madsen: Absorption and initial metabolism of 75Se-L-selenomethionine: a kinetic model based on dynamic scintigraphic dataBritish Journal of Nutrition, 114:1718-1723, 2015.

Christian Bick and Erik A. Martens. Controlling Chimeras. New Journal of Physics 17:033030 (2015),
doi:10.1088/1367-2630/17/3/033030; arXiv:1402.6363

Postnov DE, Neganova AY, Sosnovtseva OV, Holstein-Rathlou NH, Jacobsen JC. Conducted vasoreactivity: the dynamical point of view. Bull Math Biol. 2015 Jan;77(1):230-49. doi: 10.1007/s11538-014-0058-0. Epub 2015 Jan 13.

D.E. Postnov, A.Y. Neganova, J.C.B. Jacobsen, N.-H. Holstein-Rathlou, O. Sosnovtseva (2013) From Excitability to Oscillations: A Case Study in Vasomotion. The European Physical Journal, 222, 2667-2676

Alexey R. Brazhe, Donald J. Marsh, Niels-Henrik Holstein-Rathlou, Olga Sosnovtseva (2014) Synchronized Renal Blood Flow Dynamics Mapped with Wavelet Analysis of Laser Speckle Flowmetry Data. PlosONE, DOI: 10.1371/journal.pone.0105879

Boomsma, W., Tian, P., Ferkinghoff-Borg, J., Hamelryck, T., Lindorff-Larsen, K. , Vendruscolo, M. (2014) Equilibrium simulations of proteins using molecular fragment replacement and NMR chemical shifts. Proc. Natl. Acad. Sci. USA. 111(38):13852-13857. Article@PNAS

Kuehn, C., Martens, E. A., & Romero, D. M. (2014). Critical Transitions in Social Network Activity. Journal of Complex Networks, Advance ac, 1–12. doi:10.1093/comnet/cnt022

Eric J. Tchetgen Tchetgen, Stefan Walter, Stijn Vansteelandt, Torben Martinussen, Maria Glymour. Instrumental variable estimation in a survival context. HARVARD UNIVERSITY BIOSTATISTICS WORKING PAPER SERIES

Vansteelandt, S.; Martinussen, T.; Tchetgen, E. J. On adjustment for auxiliary covariates in additive hazard models for the analysis of randomised experimentsBIOMETRIKA , 2014, Volume: 101   Issue: 1   Pages: 237-244 

Martinussen, Torben; Pipper, Christian Bressen. Estimation of Causal Odds of Concordance using the Aalen Additive Mode SCANDINAVIAN JOURNAL OF STATISTICS, 2014,  Volume: 41   Issue: 1   Pages: 141-151   

Martinussen, Torben; Vansteelandt, Stijn. On collapsibility and confounding bias in Cox and Aalen regression models. LIFETIME DATA ANALYSIS, 2013,  Volume: 19   Issue: 3   Pages: 279-296  

OO. Aalen, K. Røysland, JM. Gran, R. Kouyos,  T. Lange, ” Can we believe the DAGs? A comment on the relationship between causal DAGs and mechanisms”, forthcoming in Statistical Methods in Medical Research, 2014.

Massimiliano Tamborrino, Susanne Ditlevsen and Petr Lansky (2014): Parameter Inference from Hitting Times for Perturbed Brownian Motion. Lifetime Data Analysis.21: 331-352, 2015.

Susanne Ditlevsen and Adeline Samson: Estimation in the partially observed stochastic Morris-Lecar neuronal model with particle filter and stochastic approximation methods. Annals of Applied Statistics, 8(2): 674-702, 2014. 

Marie Levakova, Susanne Ditlevsen and Petr Lansky: Estimating latency from inhibitory input. Biological Cybernetics, 108(4):475-493, 2014. 

Alexandre Iolov, Susanne Ditlevsen and Andre Longtin: Stochastic Optimal Control of Single Neuron Spike Trains. Journal of Neural Engineering., 11, 046004, 2014.

Alexandre Iolov, Susanne Ditlevsen and Andre Longtin: Fokker-Planck and Fortet equation-based parameter estimation for a leaky integrate-and-fire model with sinusoidal and stochastic forcing. Journal of Mathematical Neuroscience, 4(4), 2014, doi:10.1186/2190-8567-4-4.

T. Lange, M. Rasmussen and L.C. Thygesen, “Assessing Natural Direct and Indirect Effects Through Multiple Pathways”, American Journal of Epidemiology, Vol. 179(4), 513-518, 2013.

S. Johansen and T. Lange, ”Least squares estimation in a simple random coefficient autoregressive model”, Journal of Econometrics, Vol. 177, p. 285–288, 2013.

Rune Berg and Susanne Ditlevsen: Synaptic inhibition and excitation estimated via the time constant of membrane potential fluctuations. Journal of Neurophysiology, 110: 1021-1034, 2013.