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Susanne Ditlevsen - Publications

Affiliations: 
University of Copenhagen, København, Denmark 
Area:
Leaky integrate-and-fire models, Morris-Lecar model, motoneurons, stochastic processes, statistics
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47 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2020 Li K, Kadohisa M, Kusunoki M, Duncan J, Bundesen C, Ditlevsen S. Distinguishing between parallel and serial processing in visual attention from neurobiological data. Royal Society Open Science. 7: 191553. PMID 32218974 DOI: 10.1098/Rsos.191553  0.349
2020 Ruse MG, Samson A, Ditlevsen S. Inference for biomedical data by using diffusion models with covariates and mixed effects Journal of the Royal Statistical Society Series C-Applied Statistics. 69: 167-193. DOI: 10.1111/Rssc.12386  0.418
2020 Ditlevsen S, Rubio AC, Lansky P. Transient dynamics of Pearson diffusions facilitates estimation of rate parameters Communications in Nonlinear Science and Numerical Simulation. 82: 105034. DOI: 10.1016/J.Cnsns.2019.105034  0.449
2019 Li K, Ditlevsen S. Neural decoding with visual attention using sequential Monte Carlo for leaky integrate-and-fire neurons. Plos One. 14: e0216322. PMID 31086375 DOI: 10.1371/Journal.Pone.0216322  0.356
2019 Ngô MC, Heide-Jørgensen MP, Ditlevsen S. Understanding narwhal diving behaviour using Hidden Markov Models with dependent state distributions and long range dependence. Plos Computational Biology. 15: e1006425. PMID 30870414 DOI: 10.1371/Journal.Pcbi.1006425  0.322
2019 Ditlevsen S, Samson A. Hypoelliptic diffusions: filtering and inference from complete and partial observations Journal of the Royal Statistical Society Series B-Statistical Methodology. 81: 361-384. DOI: 10.1111/Rssb.12307  0.391
2018 Garde E, Bertelsen MF, Ditlevsen S, Heide-Jørgensen MP, Nielsen NH, Frie AK, Olafsdottir D, Siebert U, Hansen SH. Accuracy of the Aspartic Acid Racemization Technique in Age Estimation of Mammals and the Influence of Body Temperature Nammco Scientific Publications. 10. DOI: 10.7557/3.4400  0.311
2017 Vich C, Berg RW, Guillamon A, Ditlevsen S. Estimation of Synaptic Conductances in Presence of Nonlinear Effects Caused by Subthreshold Ionic Currents. Frontiers in Computational Neuroscience. 11: 69. PMID 28790909 DOI: 10.3389/Fncom.2017.00069  0.387
2017 Iolov A, Ditlevsen S, Longtin A. Optimal Design for Estimation in Diffusion Processes from First Hitting Times Siam/Asa Journal On Uncertainty Quantification. 5: 88-110. DOI: 10.1137/16M1060376  0.372
2017 Ditlevsen S, Löcherbach E. Multi-class oscillating systems of interacting neurons Stochastic Processes and Their Applications. 127: 1840-1869. DOI: 10.1016/J.Spa.2016.09.013  0.322
2017 Tamborrino M, Ditlevsen S, Markussen B, Kyllingsbæk S. Gaussian counter models for visual identification of briefly presented, mutually confusable single stimuli in pure accuracy tasks Journal of Mathematical Psychology. 79: 85-103. DOI: 10.1016/J.Jmp.2017.02.003  0.363
2016 Li K, Kozyrev V, Kyllingsbæk S, Treue S, Ditlevsen S, Bundesen C. Neurons in Primate Visual Cortex Alternate between Responses to Multiple Stimuli in Their Receptive Field. Frontiers in Computational Neuroscience. 10: 141. PMID 28082892 DOI: 10.3389/Fncom.2016.00141  0.332
2016 Tuckwell HC, Ditlevsen S. The Space-Clamped Hodgkin-Huxley System with Random Synaptic Input: Inhibition of Spiking by Weak Noise and Analysis with Moment Equations. Neural Computation. 1-33. PMID 27557099 DOI: 10.1162/Neco_A_00881  0.342
2016 Li K, Bundesen C, Ditlevsen S. Responses of Leaky Integrate-and-Fire Neurons to a Plurality of Stimuli in Their Receptive Fields. Journal of Mathematical Neuroscience. 6: 8. PMID 27215548 DOI: 10.1186/S13408-016-0040-2  0.407
2015 Tamborrino M, Ditlevsen S, Lansky P. Parameter inference from hitting times for perturbed Brownian motion. Lifetime Data Analysis. 21: 331-52. PMID 25185656 DOI: 10.1007/S10985-014-9307-7  0.338
2015 Garde E, Hansen SH, Ditlevsen S, Tvermosegaard KB, Hansen J, Harding KC, Heide-Jørgensen MP. Life history parameters of narwhals (Monodon monoceros) from Greenland Journal of Mammalogy. 96: 866-879. DOI: 10.1093/Jmammal/Gyv110  0.301
2015 Levakova M, Tamborrino M, Ditlevsen S, Lansky P. A review of the methods for neuronal response latency estimation Biosystems. 136: 23-34. DOI: 10.1016/J.Biosystems.2015.04.008  0.348
2014 Levakova M, Ditlevsen S, Lansky P. Estimating latency from inhibitory input. Biological Cybernetics. 108: 475-93. PMID 24962079 DOI: 10.1007/S00422-014-0614-6  0.406
2014 Iolov A, Ditlevsen S, Longtin A. 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. PMID 24742022 DOI: 10.1186/2190-8567-4-4  0.372
2014 Ditlevsen S, Samson AA. Estimation in the partially observed stochastic Morris-Lecar neuronal model with particle filter and stochastic approximation methods Annals of Applied Statistics. 8: 674-702. DOI: 10.1214/14-Aoas729  0.44
2014 Ditlevsen S, Scheike T, Søensen M. Six papers on Dynamic Statistical Models Scandinavian Journal of Statistics. 41: 22-22. DOI: 10.1111/Sjos.12082  0.302
2013 Berg RW, Ditlevsen S. Synaptic inhibition and excitation estimated via the time constant of membrane potential fluctuations. Journal of Neurophysiology. 110: 1021-34. PMID 23636725 DOI: 10.1152/Jn.00006.2013  0.36
2013 Tamborrino M, Ditlevsen S, Lansky P. Parametric inference of neuronal response latency in presence of a background signal. Bio Systems. 112: 249-57. PMID 23428391 DOI: 10.1016/J.Biosystems.2013.01.009  0.374
2013 Ditlevsen S, Greenwood P. The Morris-Lecar neuron model embeds a leaky integrate-and-fire model. Journal of Mathematical Biology. 67: 239-59. PMID 22623224 DOI: 10.1007/S00285-012-0552-7  0.377
2013 Nielsen NH, Garde E, Heide-Jørgensen MP, Lockyer CH, Ditlevsen S, Òlafsdóttir D, Hansen SH. Application of a novel method for age estimation of a baleen whale and a porpoise Marine Mammal Science. 29: E1-E23. DOI: 10.1111/J.1748-7692.2012.00588.X  0.318
2013 Bibbona E, Ditlevsen S. Estimation in Discretely Observed Diffusions Killed at a Threshold Scandinavian Journal of Statistics. 40: 274-293. DOI: 10.1111/J.1467-9469.2012.00810.X  0.445
2012 Ditlevsen S, Lansky P. Only through perturbation can relaxation times be estimated. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 86: 050102. PMID 23214727 DOI: 10.1103/Physreve.86.050102  0.42
2012 Jensen AC, Ditlevsen S, Kessler M, Papaspiliopoulos O. Markov chain Monte Carlo approach to parameter estimation in the FitzHugh-Nagumo model. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 86: 041114. PMID 23214536 DOI: 10.1103/Physreve.86.041114  0.43
2012 Tamborrino M, Ditlevsen S, Lansky P. Identification of noisy response latency. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 86: 021128. PMID 23005743 DOI: 10.1103/Physreve.86.021128  0.374
2012 Garde E, Heide-Jørgensen MP, Ditlevsen S, Hansen SH. Aspartic acid racemization rate in narwhal (Monodon monoceros) eye lens nuclei estimated by counting of growth layers in tusks Polar Research. 31: 15865. DOI: 10.3402/Polar.V31I0.15865  0.327
2011 Ditlevsen S, Lansky P. Firing variability is higher than deduced from the empirical coefficient of variation. Neural Computation. 23: 1944-66. PMID 21521046 DOI: 10.1162/Neco_A_00157  0.395
2011 Jahn P, Berg RW, Hounsgaard J, Ditlevsen S. Motoneuron membrane potentials follow a time inhomogeneous jump diffusion process. Journal of Computational Neuroscience. 31: 563-79. PMID 21479618 DOI: 10.1007/S10827-011-0326-Z  0.417
2011 Picchini U, Ditlevsen S. Practical estimation of high dimensional stochastic differential mixed-effects models Computational Statistics and Data Analysis. 55: 1426-1444. DOI: 10.1016/J.Csda.2010.10.003  0.406
2010 Picchini U, Gaetano AD, Ditlevsen S. Stochastic differential mixed-effects models Scandinavian Journal of Statistics. 37: 67-90. DOI: 10.1111/J.1467-9469.2009.00665.X  0.441
2008 Picchini U, Ditlevsen S, De Gaetano A, Lansky P. Parameters of the diffusion leaky integrate-and-fire neuronal model for a slowly fluctuating signal. Neural Computation. 20: 2696-714. PMID 18533814 DOI: 10.1162/Neco.2008.11-07-653  0.453
2008 Picchini U, Ditlevsen S, De Gaetano A. Maximum likelihood estimation of a time-inhomogeneous stochastic differential model of glucose dynamics. Mathematical Medicine and Biology : a Journal of the Ima. 25: 141-55. PMID 18504247 DOI: 10.1093/Imammb/Dqn011  0.432
2008 Lansky P, Ditlevsen S. A review of the methods for signal estimation in stochastic diffusion leaky integrate-and-fire neuronal models. Biological Cybernetics. 99: 253-62. PMID 18496710 DOI: 10.1007/S00422-008-0237-X  0.413
2008 Ditlevsen S, Lansky P. Comparison of statistical methods for estimation of the input parameters in the Ornstein-Uhlenbeck neuronal model from first-passage times data Aip Conference Proceedings. 1028: 171-185. DOI: 10.1063/1.2965085  0.34
2007 Ditlevsen S, Lansky P. Parameters of stochastic diffusion processes estimated from observations of first-hitting times: application to the leaky integrate-and-fire neuronal model. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 76: 041906. PMID 17995025 DOI: 10.1103/Physreve.76.041906  0.457
2007 Farnsworth KD, Thygesen UH, Ditlevsen S, King NJ. How to estimate scavenger fish abundance using baited camera data Marine Ecology Progress Series. 350: 223-234. DOI: 10.3354/Meps07190  0.418
2007 Ditlevsen S. A result on the first-passage time of an Ornstein-Uhlenbeck process Statistics and Probability Letters. 77: 1744-1749. DOI: 10.1016/J.Spl.2007.04.015  0.316
2006 Picchini U, Ditlevsen S, De Gaetano A. Modeling the euglycemic hyperinsulinemic clamp by stochastic differential equations. Journal of Mathematical Biology. 53: 771-96. PMID 17021846 DOI: 10.1007/S00285-006-0032-Z  0.357
2006 Ditlevsen S, Lansky P. Estimation of the input parameters in the Feller neuronal model. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 73: 061910. PMID 16906867 DOI: 10.1103/Physreve.73.061910  0.452
2005 Ditlevsen S, Yip KP, Holstein-Rathlou NH. Parameter estimation in a stochastic model of the tubuloglomerular feedback mechanism in a rat nephron. Mathematical Biosciences. 194: 49-69. PMID 15836864 DOI: 10.1016/J.Mbs.2004.12.007  0.42
2005 Ditlevsen S, de Gaetano A. Stochastic vs. deterministic uptake of dodecanedioic acid by isolated rat livers. Bulletin of Mathematical Biology. 67: 547-61. PMID 15820742 DOI: 10.1016/J.Bulm.2004.09.005  0.394
2005 Ditlevsen S, Lansky P. Estimation of the input parameters in the Ornstein-Uhlenbeck neuronal model. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 71: 011907. PMID 15697630 DOI: 10.1103/Physreve.71.011907  0.451
2004 Ditlevsen S, Sørensen M. Inference for observations of integrated diffusion processes Scandinavian Journal of Statistics. 31: 417-429. DOI: 10.1111/J.1467-9469.2004.02_023.X  0.402
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