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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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