Stability Analysis of Second-Order Switched Homogeneous Systems. - David Holcman; Michael Margaliot (SIAM J. Control. Optim., 2002)

Modeling the Spontaneous Activity of the Auditory Cortex. - Evgeniy Bart; Shaowen Bao; David Holcman (J. Comput. Neurosci., 2005)

Modeling Calcium Dynamics in Dendritic Spines. - David Holcman; Zeev Schuss (SIAM J. Appl. Math., 2005)

The Emergence of Up and Down States in Cortical Networks. - David Holcman; Misha Tsodyks (PLoS Comput. Biol., 2006)

Effective Motion of a Virus Trafficking Inside a Biological Cell. - Thibault Lagache; David Holcman (SIAM J. Appl. Math., 2008)

Partially Reflected Diffusion. - Amit Singer; Zeev Schuss; Andrei Osipov; David Holcman (SIAM J. Appl. Math., 2008)

The Narrow Escape Problem in a Flat Cylindrical Microdomain with Application to Diffusion in the Synaptic Cleft. - Jürgen Reingruber; David Holcman (Multiscale Model. Simul., 2011)

Barriers to Diffusion in Dendrites and Estimation of Calcium Spread Following Synaptic Inputs. - Armin Biess; Eduard Korkotian; David Holcman (PLoS Comput. Biol., 2011)

Modeling the Early Steps of Cytoplasmic Trafficking in Viral Infection and Gene Delivery. - C. Amoruso; Thibault Lagache; David Holcman (SIAM J. Appl. Math., 2011)

Analysis of the Mean First Looping Time of a Rod-Polymer. - Assaf Amitai; Ivan Kupka; David Holcman (Multiscale Model. Simul., 2012)

Brownian Motion in Dire Straits. - David Holcman; Zeev Schuss (Multiscale Model. Simul., 2012)

Reconstruction of Surface and Stochastic Dynamics from a Planar Projection of Trajectories. - N. Hoze; Zeev Schuss; David Holcman (SIAM J. Imaging Sci., 2013)

Oscillatory Survival Probability and Eigenvalues of the Non-Self-Adjoint Fokker-Planck Operator. - David Holcman; Zeev Schuss (Multiscale Model. Simul., 2014)

The Narrow Escape Problem. - David Holcman; Zeev Schuss (SIAM Rev., 2014)

Calcium Dynamics in Neuronal Microdomains: Modeling, Stochastic Simulations, and Data Analysis. - Claire Guerrier; Eduard Korkotian; David Holcman (Encyclopedia of Computational Neuroscience, 2014)

Synaptic dynamics and neuronal network connectivity are reflected in the distribution of times in Up states. - Khanh Dao Duc; Pierre Parutto; Xiaowei Chen; Jérôme Epsztein; Arthur Konnerth; David Holcman (Frontiers Comput. Neurosci., 2015)

Search Time for a Small Ribbon and Application to Vesicular Release at Neuronal Synapses. - Claire Guerrier; David Holcman (Multiscale Model. Simul., 2015)

Analysis of Single Locus Trajectories for Extracting In Vivo Chromatin Tethering Interactions. - Assaf Amitai; Mathias Toulouze; Karine Dubrana; David Holcman (PLoS Comput. Biol., 2015)

The Neuroglial Potassium Cycle during Neurotransmission: Role of Kir4.1 Channels. - Jérémie Sibille; Khanh Dao Duc; David Holcman; Nathalie Rouach (PLoS Comput. Biol., 2015)

Oscillatory Survival Probability: Analytical and Numerical Study of a Non-Poissonian Exit Time. - Khanh Dao Duc; Zeev Schuss; David Holcman (Multiscale Model. Simul., 2016)

Multiscale models and stochastic simulation methods for computing rare but key binding events in cell biology. - Claire Guerrier; David Holcman (J. Comput. Phys., 2017)

Geometrical Effects on Nonlinear Electrodiffusion in Cell Physiology. - J. Cartailler; Zeev Schuss; David Holcman (J. Nonlinear Sci., 2017)

Transient chromatin properties revealed by polymer models and stochastic simulations constructed from Chromosomal Capture data. - Ofir Shukron; David Holcman (PLoS Comput. Biol., 2017)

Mixed analytical-stochastic simulation method for the recovery of a Brownian gradient source from probability fluxes to small windows. - Ulrich Dobramysl; David Holcman (J. Comput. Phys., 2018)

Asymptotic Formulas for Extreme Statistics of Escape Times in 1, 2 and 3-Dimensions. - K. Basnayake; Zeev Schuss; David Holcman (J. Nonlinear Sci., 2019)

Correction to: Asymptotic Formulas for Extreme Statistics of Escape Times in 1, 2 and 3-Dimensions. - K. Basnayake; Zeev Schuss; David Holcman (J. Nonlinear Sci., 2020)

Modeling bursting in neuronal networks using facilitation-depression and afterhyperpolarization. - Lou Zonca; David Holcman (Commun. Nonlinear Sci. Numer. Simul., 2021)

Emergence and fragmentation of the alpha-band driven by neuronal network dynamics. - Lou Zonca; David Holcman (PLoS Comput. Biol., 2021)

Combining transient statistical markers from the EEG signal to predict brain sensitivity to general anesthesia. - Christophe Sun; David Holcman (Biomed. Signal Process. Control., 2022)

Exit Versus Escape for Stochastic Dynamical Systems and Application to the Computation of the Bursting Time Duration in Neuronal Networks. - Lou Zonca; David Holcman (J. Nonlinear Sci., 2022)

Mean time to infection by small diffusing droplets containing SARS-CoV-2 during close social contacts. - Ulrich Dobramysl; C. Sieben; David Holcman (Networks Heterog. Media, 2024)

Extreme Diffusion with Point-Sink Killing Fields: Application to Fast Calcium Signaling at Synapses. - Suney Toste; David Holcman (SIAM J. Appl. Math., 2024)

The WQN Algorithm for EEG Artifact Removal in the Absence of Scale Invariance. - Matteo Dora; Stéphane Jaffard; David Holcman (IEEE Trans. Signal Process., 2024)

Mapping general anesthesia states based on electro-encephalogram transition phases. - Virginie Loison; Yuliya Voskobiynyk; Britta Lindquist; D. Necula; D. Longrois; J. Paz; David Holcman (NeuroImage, 2024)

Chromatin phase separated nanoregions explored by polymer cross-linker models and reconstructed from single particle trajectories. - Andrea Papale; David Holcman (PLoS Comput. Biol., 2024)