High-Dimensional Cointegration and Kuramoto Inspired Systems. - Stærk-Østergaard, Jacob; Rahbek, Anders; Ditlevsen, Susanne (SIAM J. Appl. Dyn. Syst., 2024)

Network inference in a stochastic multi-population neural mass model via approximate Bayesian computation. - Ditlevsen, Susanne; Tamborrino, Massimiliano; Tubikanec, Irene (CoRR, 2023)

Correction: Understanding narwhal diving behaviour using Hidden Markov Models with dependent state distributions and long range dependence. - Ngô, Manh Cuong; Heide-Jørgensen, Mads Peter; Ditlevsen, Susanne (PLoS Comput. Biol., 2022)

Detection of foraging behavior from accelerometer data using U-Net type convolutional networks. - Ngô, Manh Cuong; Selvan, Raghavendra; Tervo, Outi; Heide-Jørgensen, Mads Peter; Ditlevsen, Susanne (Ecol. Informatics, 2021)

Transient dynamics of Pearson diffusions facilitates estimation of rate parameters. - Ditlevsen, Susanne; Rubio, Alejandro Cencerrado; Lánský, Petr (Commun. Nonlinear Sci. Numer. Simul., 2020)

Understanding narwhal diving behaviour using Hidden Markov Models with dependent state distributions and long range dependence. - Ngô, Manh Cuong; Heide-Jørgensen, Mads Peter; Ditlevsen, Susanne (PLoS Comput. Biol., 2019)

Estimation of Synaptic Conductances in Presence of Nonlinear Effects Caused by Subthreshold Ionic Currents. - Vich, Catalina; Berg, Rune W.; Guillamón, Antoni; Ditlevsen, Susanne (Frontiers Comput. Neurosci., 2017)

Optimal Design for Estimation in Diffusion Processes from First Hitting Times. - Iolov, Alexandre; Ditlevsen, Susanne; Longtin, André (SIAM/ASA J. Uncertain. Quantification, 2017)

Neurons in Primate Visual Cortex Alternate between Responses to Multiple Stimuli in Their Receptive Field. - Li, Kang; Kozyrev, Vladislav; Kyllingsbæk, Søren; Treue, Stefan; Ditlevsen, Susanne; Bundesen, Claus (Frontiers Comput. Neurosci., 2016)

The Space-Clamped Hodgkin-Huxley System with Random Synaptic Input: Inhibition of Spiking by Weak Noise and Analysis with Moment Equations. - Tuckwell, Henry C.; Ditlevsen, Susanne (Neural Comput., 2016)

A review of the methods for neuronal response latency estimation. - Levakova, Marie; Tamborrino, Massimiliano; Ditlevsen, Susanne; Lánský, Petr (Biosyst., 2015)

Estimating latency from inhibitory input. - Levakova, Marie; Ditlevsen, Susanne; Lánský, Petr (Biol. Cybern., 2014)

Parametric inference of neuronal response latency in presence of a background signal. - Tamborrino, Massimiliano; Ditlevsen, Susanne; Lánský, Petr (Biosyst., 2013)

Practical estimation of high dimensional stochastic differential mixed-effects models. - Picchini, Umberto; Ditlevsen, Susanne (Comput. Stat. Data Anal., 2011)

Motoneuron membrane potentials follow a time inhomogeneous jump diffusion process. - Jahn, Patrick; Berg, Rune W.; Hounsgaard, Jørn; Ditlevsen, Susanne (J. Comput. Neurosci., 2011)

Firing Variability Is Higher than Deduced from the Empirical Coefficient of Variation. - Ditlevsen, Susanne; Lánský, Petr (Neural Comput., 2011)

A review of the methods for signal estimation in stochastic diffusion leaky integrate-and-fire neuronal models. - Lánský, Petr; Ditlevsen, Susanne (Biol. Cybern., 2008)

Parameters of the Diffusion Leaky Integrate-and-Fire Neuronal Model for a Slowly Fluctuating Signal. - Picchini, Umberto; Ditlevsen, Susanne; Gaetano, Andrea De; Lánský, Petr (Neural Comput., 2008)