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List of publications

Publication summary :

 5 non-peer reviewed publications (ArXiv)
 25 submitted or written manuscripts
 35 meeting reports (>2007).
 241 peer reviewed : 187 research publications. 17 reviews. 34 chapters/comments/
 3 books published by Springer.
 2 Patents
 3 books in preparation.

Covered Fields : Data modeling, Computational methods, Biophysics, Neurobiology, Applied Mathematics, Stochastic Processes, Simulations of Cellular Processes, Multiscale Modeling, Signal processing, Large data statistics, Classification, Predictive Medicine.
 Modeling and applied math : Diffusion, Passage time analysis, Narrow Escape Theory, Statistical Biophysics, Extreme Statistics, Brownian simulations of sub-cellular processes, Computational Biology and Neurobiology, Electro-diffusion Theory, Phototransduction, Sub-cellular trafficking, trafficking in endoplasmic reticulum, diffusion on graphs
 Statistics of single particle trajectories : potential well theory in cell biology
 Computational Neurobiology : Voltage dye deconvolution, Burst-synchronization, Up-Down state dynamics, neuronal networks, Integrative Cellular and Molecular Biology, neuron-glia interaction, calcium signaling modeling.
 Computational medicine : EEG classification, anesthesia prediction, statistical medical classification, predictive methods for coma, tremor classification, intelligent dabases. Adaptative algorithms. Machine-learning classification algorithm.
 Asymptotic of Partial Differential Equations : Mathematical Neuroscience, conformal mapping. Nonlinear PDEs. Inverse problems.
 Data driven Sub-cellular modeling : Synaptic transmission, organelle interaction, ER reconstruction from trajectories, modeling ER trafficking, model of exit sites, function of dendritic spines, modeling ER-mitochondria interactions.
 Physical biology : physical virology, modeling early step of influenza and AAV infection.
 Modeling and Simulation of brain development : Construction of morphogenetic gradients, theory of neuronal migrations, triangulation of a source from diffusing fluxes, Machine-learning brain cells (micrglia, blood vessel,neuron) segmentations.
 Modeling and data analysis for nucleus organization : polymer models, chromatin reconstruction, HiC data analysis. Transcription factor search time, dsDNA breaks modeling and simulation. TAD analysis, curvature theory, analysis of single trajectories, theory of remodelers.


1- Floyrac, A. Doumergue, N. Kubis, D. Holcman, Outil prédictif de la sortie du coma des patients après arrêt cardio-respiratoire, 62/55/133PSL.
2- J. Cartailler, P. Parutto, D. Holcman, Outil de prediction de Burst suppresion a partir des onde alpha de l’EEG, PSL. VRéf. BV21011 - NRéf. B76977EP-D41727 SER : Patent (July 2021) « Automated EEG signal analysis and construction of a probability map to predict the sensitivity to genera anesthesia during induction to prevent over-sedation »

Wikipedia page contribution

1-The Narrow escape problem
2-Redundancy principle (in biology)
3-Hybrid Stochastic simulations
4-Active Network Flow
5-Single particle trajectories

List of publications

Published in ArXiv and MedArxiv and BioRxiv only.

4-J Reingruber, A Papale, D Holcman, Monitoring and predicting SARS-CoV-2 epidemic in France after deconfinement using a multiscale age-dependent rate model, medrxiv 2020,
3- D. Holcman N.Hoze, Z. Schuss, Analysis of single particle trajectories : when things go wrong, arXiv:1502.00286, 2015.
2- N.Hoze, D. Holcman, Potential wells for AMPA receptors organized in ring nanodomains, ArXiv q-bio > arXiv:1309.3436
1- D. Holcman, The Complexity of Synaptic Transmission Revealed by a Multiscale Analysis Approach From The Molecular to The Cellular Level, Correspondence, Quantitative Biology, arXiv:1202.2034v1, 2012

Books and Monographs
1- D. Holcman Z. Schuss Stochastic Narrow Escape in Molecular and Cellular Biology, Monographs, Springer 260 p 2015.

2- D. Holcman, Stochastic Processes, Multiscale Modeling, and Numerical Methods for Computational Cellular Biology (Springer), 2017.

3- D. Holcman, Z. Schuss, Asymptotics of Elliptic and Parabolic PDEs and their Applications in Statistical Physics, Computational Neuroscience, and Biophysics, Applied mathematics Series, Springer, 2018.

Book chapters and Commentaries, View points, Opinions
34- F. Paquin-Lefebvre, D. Holcman, Modeling ionic flow between small targets : insights from diffusion and electro-diffusion theory. arXiv
33- M. Dora, F. Paquin-Lefebvre, D. Holcman, Making sense of photoactivation data to analyse transport in the endoplasmic reticulum. bioRxiv
32- D. Holcman, Les nouvelles applications des mathématiques en biologie et en médecine, Magazine, La jaune et la rouge, N°782 Février 2023
31- L. Zonca E. Dossi N. Rouach D. Holcman, Segmentation methods and fast algorithms to extract repetitive motif of electrophysiological and calcium imaging time series (invited chapter, Springer, NeuroMethods)
30- Steindel, M., de Almeida, I. O., Strawbridge, S., Chernova, V., Holcman, D., Ponjavic, A., & Basu, S. (2022). Studying the Dynamics of Chromatin-Binding Proteins in Mammalian Cells Using Single-Molecule Localization Microscopy. Methods in molecular biology (Clifton, NJ), 2476, 209-247.
29- I. Sokolov, D. Holcman, Editors of a special series about extreme statistics in biology, Euro. Phys B 2022.
28- Wang, M. D., Nicodemi, M., Dekker, N. H., Gregor, T., Holcman, D., van Oijen, A. M., & Manley, S.. Physics meets biology : The joining of two forces to further our understanding of cellular function. Molecular Cell, 81(15), 3033-3037. (2021)
27- J Cartailler, J Reingruber, D. Holcman, Théorie du petit trou et ses applications en biologie—>archives-ouverte
26- D. Holcman, Qu’est-ce qui définit les temps courts et longs en biologie : une histoire de forme, de mouvement et de petits trous Archives-ouvertes
25- DS Grebenkov, D Holcman, R Metzler, Preface : new trends in first-passage methods and applications in the life sciences and engineering - Journal of Physics A : Mathematical and Theoretical, 2020
24- D. Holcman, Paris - Optimiser le transport des hommes et des marchandises, un bien-être pour tous,, Mediapart 2019
23- J. Cartailler D. Holcman, Electro-diffusion approach to map the voltage distribution in dendritic spines at a nanometer scale Neuron, comment 2019.
22- D. Holcman, Et si une recherche justement financée permettait de payer moins d’impôts ? Mediapart 2019,
21- D. Holcman R.Yuste, Reply to ‘Only negligible deviations from electroneutrality are expected in dendritic spines’, Nature Review Neuroscience, 2019.
20- K. Basnayake D. Holcman, Fastest among equals : a novel paradigm in biology Reply to comments : Redundancy principle and the role of extreme statistics in molecular and cellular biology, Physics of Life Reviews 2019.
19- D. Holcman, Big data et cerveau : la neurobiologie computationnelle, De nouveaux outils de modélisation pour la neurobiologie, 2018
18- A. Amitai D. Holcman, Methods for analyzing single particle trajectories in the nucleus, 2018.
17- C. Guerrier, D. Holcman, Calcium dynamics in nanodomains to trigger vesicular release at neuronal synapses revealed by computational modeling, Frontiers in Neuroscience, 2018.
16- A. Amitai D. Holcman,Analysis of Chromatin Dynamics and Search Processes in the Nucleus, in Modeling the 3D Conformation of Genomes, 177, 2019.
15- D. Holcman, Comment l’économie High Tech peut émerger sans refondre le système universitaire, mediapart 2018
14- J. Reingruber, and D. Holcman. "Modeling and Stochastic Analysis of the Single Photon Response. Stochastic Processes, Multiscale Modeling, and Numerical Methods for Computational Cellular Biology. Springer, Cham, 2017. 315-348.

13- N. Hoze D. Holcman, Coagulation-fragmentation with a finite number of particles : models, stochastic analysis and applications to telomere clustering and viral capsid assembly, review chapter, Springer 2017.

12- D. Holcman,La nouvelle physique mathématique en biologie, Gazette des Mathematiques(in French) n°147, Janvier 2016.
11- D. Holcman Z. Schuss, New mathematics and physics in life sciences and medicine, Physics Today 69 (1), 10 (2016).
10- N. Rouach, D Holcman, Modeling neuron-glia interactions (invited chapter) Springer.
9- K. Reynaud, Z Schuss, N Rouach, D Holcman, Why so many sperm cells ? Communicative & Integrative Biology:3, e1017156 ; 2015.
8- D. Holcman R. Yuste, The new nanophysiology : Towards nanophysiology : Regulation of ionic flow in neuronal subcompartments, Nature Reviews Neuroscience 16 (11), 685-692, 2015.

7- D. Holcman, Multiscale modeling, stochastic and asymptotic approaches for analyzing neural networks based on synaptic dynamics, ESAIM : Proceedings and Surveys 47, 36-54 2015.
6- D. Holcman, Review on the book ”Nonlinear Filtering and Optimal phase tracking” by Zeev Schuss, SIAM Review 56 (2014), no. 2, 213–257.
5- D. Holcman, Unraveling novel features hidden in superresolution microscopy data, Perspective, Communicative & Integrative Biology, 1 ;6(3):e23893. 2013
4- C. Guerrier, E. Korkotian, D. Holcman Calcium dynamics in Microdomains : From mathematical modeling to data analysis, Encyclopedia Computational Neurobiology, Springer 2014, pp 1-37
3- D. Holcman, I. Kupka, Some open questions in computational biology ; J. Fixed Point Theory Appl, contribution in the Honor of S. Smale (2010), 7 : 1 p.67-83.
2- D. Holcman, C’était mon patron, (in French) Gazette des Mathématiciens, 121, 2009
1- D. Holcman, Computational challenges in synaptic transmission, AMS Contemporary Mathematics (CONM) book series : Proceedings of the Conference on Imaging Microstructures : Mathematical and Computational Challenges, Contemporary Mathematics, 494, p:1-26 (2009).


18- M. Lu P. Parutto D. Holcman, Reconstructing the ER organization from trajectories (pre-print).
17- P. Parutto, J. Heck, M. Heine, D. Holcman, Single particle algorithms to reveal cellular nanodomain organization, 2023 (pre-print) arXiv:2312.17191
16- U. Dobrasmyl, D. Holcman, Computational methods and diffusion theory in triangulation sensing to model neuronal navigation, Rep. Progr. Phys 2022 2020 ArXiv [Review]
15- M. Heine, D. Holcman, Nature and role of transient nanodomains in neurons underlying communication and network dynamics, Trends in Neuroscience, 2020.

14- O. Shukron, A. Amitai, A Seeber, D. Holcman,Advances in SPTs of single locus for chromatin reconstruction, Trends in Genetics, 2019.

13- Z. Schuss, K. Basnayake, D. Holcman, Redundancy principle for optimal random search in biology Physics of Live Science Review, 2019.
12- N Rouach, KD Duc, J Sibille, D. Holcman, ionic fluxes regulated neurons and astrocytes.Dynamics of ion fluxes between neurons, astrocytes and the extracellular space during neurotransmission, Opera Medica et Physiologica 4 (1), 1-18, 2018. PDF
11- D. Holcman, Z. Schuss, 100 years after Smoluchowski : stochastic processes in cell biology, J. Phys. A (2016).

10- D. Holcman, N.Hoze, Statistical methods of short super-resolution stochastic single trajectories analysis, Annual Review of Statistics and Its Application, 4, 1-35 (2017).
9- D. Holcman, N.Hoze, Z. Schuss, Analysis and Interpretation of Superresolution Single-Particle Trajectories, Biophysical Journal, 109 (9), 1761-1771 (2015).
8- J. Reingruber, D. Holcman, G. Fain, Optimal interplay geometry-biochemistry in single-photon response, Bioessays 37 (11), 1243-1252, (2015).
7- A. Amitai, D. Holcman, Polymer physics of Single particle trajectories in the nucleus organization, Physics Report, 678, 1–83 (2017).
6- J. Reingruber, D. Holcman, Computational and mathematical methods for morphogenetic gradient analysis, boundary formation and axonal targeting, Seminars in cell & developmental biology 35, 189-202 (2014).
5- D. Holcman, Z. Schuss, the Narrow Escape Problem, SIAM Rev 56 no. 2, 213–257 2014.
4- Z. Schuss, D. Holcman, Time scales of Diffusion for Molecular and Cellular processes, J.Phys A : Mathematical and Theoretical 47 (17), 173001 (2014).
3- D. Holcman, Z. Schuss, Control of flux by narrow passages and hidden targets in cellular biology, Reports on Progress in Physics 76 (7):074601. (2013).
2- C. Giaume, A. Koulakoff, L. Roux, D. Holcman and N. Rouach, Astroglial connexin-mediated networks:a step further in neuroglial interactions, Nat Rev Neuroscience, 2010 ; 11(2):87-99.
1- T. Lagache, E. Dauty, D. Holcman, Physical principles and models describing intracellular virus particle dynamics, Current Opinion in Microbiology ;12(4):439-45 (2009).

Publications published or in press


187- L. Zonca, G. Milior, F. Bellier. Rancillac. N. Rouach, D. Holcman, Coding paths from reconstructing glial and neuronal networks from calcium imaging, (pre-print).
186- C. Sun, I Constant, D holcman, EEG signatures at different concentrations of Propofol vs Sevoflurane, preprint.
185- F. Paquin-Lefebvre, D. Holcman, Refined properties of electrodiffusion between two channel nanodomains (pre-print).
184-F. Paquin-Lefebvre, D. Holcman, Electrodiffusion between two channels (pre-print)
183- A. Papale, J. Segueni, D. Noordermeer D. Holcman, TAD boundaries classify into three classes that control transgene encounter times (pre-print).
182- L. Kushnireva, K. Basnayake, F. Paquin-Lefebvre, E. Korkotian, D. Holcman, Plasticity of ATP mitochondrial production during synaptic inputs or network activity, (pre-print).
181-M. Dora, S. Jaffard, D. Holcman, Mathematical properties of the WQN algorithm, (submitted) 2022.
180- A. Wondergem, F de Wit, T Reuvers, D. Holcman, D. Heinrich, Controlling amoeboid migration by combining topotactic and chemotactic cues (submitted).
179- F. Paquin-Lefebvre, U. Dobramysl, S Toste, D. Holcman, Simulations and asymptotics for the fastest among n stochastics particles with killing in dim 2 (pre-print).
178- G. Milior, F Vasile, J Moulard, P Ezan, I Arnoux, D Mozheiko, R Breton, F. Masse, L Zonca, A Bemelmans, P Mailly, D Holcman, N Rouach, Control of brain excitability and mental health by local calcium signalling via astroglial IP3R1 (revision) , 2023.
177- C. Sun, I Constant, D holcman, Predicting sensitivity to general anesthesia : Bispectral index versus Checkpoint-Decomposition Algorithm, (submitted) medRxiv, 2023.05. 03.23289473
176- T. Perochon, Z. Krsnik, T. Lagache, D. A. Menassa, D. Holcman, Spatiotemporal mapping of human microglia during brain development with advanced spatial statistics assisted by deep-learning, submitted 2023.
175- G. Amici, A. Papale, D. Lando, W. Boucher, E. Laue, D. Holcman High changing curvature regions in chromatin correlate with gene expression (revision), 2023
174- C. Sun, D. Holcman, Sparse EEG oscillatory band decomposition in stochastic
spindles, (pre-print).
173- E. Dossi, L. Zonca, D. Holcman* N. Rouach*, Analysis of bursting dynamics in a modified facilitation-depression model accounting for afterhyperpolarization, Cell Report 2024
172- U. Dobramysl, C. Sieben, D. Holcman, Mean time to infection by small diffusing droplets containing SARS-CoV-2 during close social contacts, Networks and Heterogeneous Media, (to appear) 2024.
171- A. Papale, D. Holcman, Chromatin phase separated nanoregions regulated by cross-linkers and explored by single particle trajectories, Plos Computational Biology, 2024. bioRxiv


170- E. Meiser, R. Mohammadi, N.Vogel, D. Holcman and S.F. Fenz, Experiments in micro-patterned model membranes support the narrow escape theory, Comm. Physics, 2023
169- T. Ghelani, M. Escher, U. Thomas, K. Esch, J. Lützkendorf, H. Depner, M. Maglione, P. Parutto, S. Gratz, T. Matkovi-Rachid, S. Ryglewski, A. Walter, D. Holcman, K. O’Connor Giles, M. Heine, S. Sigrist. An active zone state switch concentrates and immobilizes voltage-gated Ca2+ channels to promote long-term plasticity, Science Advances, 2023.
168- F. Paquin-Lefebvre, K. Basnayake, D. Holcman, Narrow escape in composite domains forming heterogeneous networks, Physica D, 2023. arXiv
167- V. Loison, D. Necula, Y. Voskobiynyk, D. Longrois, J. Paz, D. Holcman, Mapping general anesthesia states based on electro-encephalogram transition phases, NeuroImage, 2023. bioRxiv
166- S. Basu*, O Shukron*, A Ponjavic, P Parruto, W Boucher, W Zhang, N Reynolds, D Lando, D Shah, LH Sober, A Jartseva, R Ragheb, J Cramard, R Floyd, G Brown, K Gor, J Balmer, TA Drury, AR Carr, L-M Needham, A Aubert, G Communie, L Morey, E Blanco, MA Barber, I Mohorianu, T Bartke, L Di Croce, I Berger, C Schaffitzel, SF Lee, TJ Stevens, D Klenerman, BD Hendrich*, D Holcman*, ED Laue*, Live-cell 3D single-molecule tracking reveals how NuRD modulates enhancer dynamics, Nat. Struc. Mol. Biology, 30, 1628–1639, 2023.
165- Li-Hsin Chang, Sourav Ghosh, Andrea Papale, Mélanie Miranda, Vincent Piras, Jéril Degrouard, Mallory Poncelet, Nathan Lecouvreur, Sébastien Bloyer, Amélie Leforestier, D. Holcman, D. Noordermeer, A complex CTCF binding code defines TAD boundary structure and function, Nat. Comm, 2023.
164- S. Toste, D. Holcman, Extreme diffusion with point-sink killing fields : application to fast calcium signaling at synapses, SIAM Journal of Applied Mathematics, 2023. arXiv
163- J. McHugh, S. Makarchuk, D. Mozheiko, A. Fernandez-Villegas, G. S. Kaminski Schierle, C. F. Kaminski, U. E. Keiser, D. Holcman, N. Rouach, Diversity of dynamic voltage patterns in neuronal dendrites revealed by nanopipette electrophysiology, Nanoscale, 15 (29), 12245-12254, 2023.
162- C. Sun, D. Longrois, D. Holcman, Spectral EEG correlations from the different phases of general anesthesia, Frontiers in Medicine, 2023. medRxiv
161- A. Floyrac, A. Doumergue, S.Legriel, N. Deye, B. Megarbane, A. Richard, E. Meppiel, S.Masmoudi, P. Lozeron, E. Vicaut, N. Kubis, D. Holcman, Predicting neurological outcome after cardiac arrest by combining computational parameters extracted from standard and deviant responses from auditory evoked potentials, Frontiers in Neuroscience, 2023. medRxiv
160- J. Reingruber, A. Papale, S Ruckly, JF Timsit, D. Holcman, Data-driven multiscale dynamical framework to control a pandemic evolution with non-pharmaceutical interventions, PLoS One 18 (1), e0278882. medRxiv


159- F. Paquin-Lefebvre, S Toste, D Holcman, How large the number of redundant copies should be to make a rare event probable, Physical Review E 106 (6), 064402. arXiv
158- L. Zonca, D. Holcman, Exit versus escape for stochastic dynamical systems and application to the computation of the bursting time duration in neuronal networks, Journal Nonlinear Science, 2022. arXiv
157- M. Dora, S. Jaffard, D. Holcman, The WQN algorithm to adaptively correct artifacts in the EEG signal, Applied and Computational Harmonic Analysis, 2022.
156- S. Toste, D. Holcman, Arrival time for the fastest among N switching stochastic particles, Euro. J. of physics, 2022. arXiv
155- C. Sun, D. Holcman, Combining transient statistical markers from the EEG signal to predict brain sensitivity to general anesthesia, Biomedical Signal Processing & Control 2022.
154- M. Dora, D. Holcman, Adaptive single-channel EEG artifact removal for real-time clinical monitoring, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2022.
153- P. Parutto, J. Heck, M. Lu, C. Kaminski, E. Avezov, M. Heine, D. Holcman, High-throughput super-resolution single-particle trajectory analysis reconstructs organelle dynamics and membrane reorganization. Cell reports methods, 2(8), 100277, 2022.
152- L. Kushnireva, Kanishka Basnayake, D. Holcman, M. Segal, E. Korkotian, Dynamic Regulation of Mitochondrial [Ca2+] in Hippocampal Neurons, Int. J. Molecular Sc. 2022.

151- A. Papale, D. Holcman, Chromatin memory generated by cohesin-like interaction at looping sites, Phys. Biology 18 (4), 0460062021. bioRxiv
150- F. Paquin-Lefebvre, D Holcman, Modelling and asymptotic analysis of the concentration difference in a nanoregion between an influx and outflux diffusion across narrow windows, Proceedings of the Royal Society A 477 (2255), 20210501 2021. arXiv
149- L. Zonca, D. Holcman, Emergence and fragmentation of the alpha-band driven by neuronal network dynamics, Plos Computational biology, 2021. bioRxiv
148- S. Toste, D. Holcman, Asymptotics for the fastest among n stochastics particles : role of an extended initial distribution and an additional drift component, J. Phys A, 2021. arXiv
147- L. Zonca, D. Holcman, Escape from an attractor generated by recurrent exit, Physical Review Research 3 (2), 023115, 2021. arXiv
146- L. Zonca, D. Holcman, Modeling bursting in neuronal networks using facilitation-depression and afterhyperpolarization, Communications in Nonlinear Science and Numerical Simulation 94, 105555 (2021). arXiv
145- K. Basnayake, D. Mazaud, N. Rouach, E. Korkotian, D. Holcman. Nanoscale molecular architecture controls calcium diffusion and ER replenishment in dendritic spines, Science Advances 2021.
144- A. Tricot, I. M. Sokolov, D. Holcman, Voltage distribution in a non-locally but globally electroneutral confined electrolyte medium : applications for nanophysiology, J. Math Biology, 2021. arXiv
143- U. Dobramysl, D. Holcman, Reconstructing a point source from diffusion fluxes to narrow windows in three dimensions, Proceedings of the Royal Society A 477 (2253), 20210271, 2021. arXiv

142- Lu M, van Tartwijk FW, Lin JQ, Nijenhuis W, Parutto P, Fantham M, Christensen CN, Avezov E, Holt CE, Tunnacliffe A, Holcman D, Kapitein L, Schierle GSK, Kaminski CF. The structure and global distribution of the endoplasmic reticulum network are actively regulated by lysosomes, Sci Adv. 2020 Dec 16 ;6(51):eabc7209. doi : 10.1126/sciadv.abc7209.
141- K. Basnayake, D Holcman, Extreme escape from a cusp : When does geometry matter for the fastest Brownian particles moving in crowded cellular environments ?
The Journal of Chemical Physics 152 (13), 134104
140- U. Dobramysl D. Holcman, Triangulation sensing, PRL 2020.
139- E. Crozat, C. Tardin, M. Salhi, P. Rousseau, A. Lablaine, T. Bertoni, D. Holcman, B. Sclavi, P. Cicuta, F. Cornet, Post-replicative pairing of sister ter regions in Escherichia coli involves multiple activities of MatP, Nat Comm, 2019. BioRxiv
138- M. Dora, D. Holcman, Active unidirectional network flow generates molecular transport in packets, Roc Soc B, 2020. ArXiv

137- J. Cartailler, P. Parutto, C. Touchard, F. Vallee, D. Holcman, Predictive analysis of general anesthesia from Alpha rhythm during the phase of induction, 2:327.Comm Biology 2019.
136- P. Parutto,J. Hecke M. Heine D. Holcman, Reconstructing potential wells of high density regions from super-resolution single particle trajectories, Scientific Report 2019.
135- K. Basnayake, D. Mazaud, A. Bemelmans, N. Rouach, E. Korkotian & D. Holcman. Fast calcium transients in dendritic spines driven by extreme statistics. PLoS biology, 17(6), e2006202, 2019.
134-P. J. Heck, P. Parutto, A. Ciuraszkiewicz, A. Bikbaev, R. Freund, M. Alonso, A. Fejtova, D. Holcman*, M. Heine*, Dynamic calcium channel nanodomains contribute to variability of transmitter release, Neuron 2019 ;103(1):66-79.e12. doi : 10.1016/j.neuron.2019.04.030.
133- J. Cartailler and D. Holcman, Asymptotic of the Poisson-Nernst-Planck equations in three-dimensional microdomains with cusp-shaped funnels, J. Math Bio, 2019 ;79(1):155-185.2019
132- Shukron, O., Piras, V., Noordermeer, D., & Holcman, D. (2019). Statistics of chromatin organization during cell differentiation revealed by heterogeneous cross-linked polymers. Nature communications, 10(1), 2626.

131- K.Basnayake, Z. Schuss D. Holcman, Extreme Narrow Escape : Shortest paths for the first particles among n to reach a target window. Physics Letters A 382 (48), 3449-3454 LINK-ARXIV
130- J. Cartailler D. Holcman, Electrical transient laws in neuronal microdomains based on electro-diffusion, Physical Chemistry Chemical Physics (revision) 2018. DOI : 10.1039/C8CP02593B
129- K.Basnayake, Z. Schuss D. Holcman, Asymptotic Formulas for Extreme Statistics of Escape Times in 1, 2 and 3-Dimensions. Journal of Nonlinear Science (2018) PDF or LINKARXIV
128- Z. Schuss, K. Tor, D. Holcman, Do cells sense time by number of divisions ?, Journal of Theoretical Biology, 2018. arXiv
127- D. Holcman*c, P. Parutto*, J Chambers, L Young, S. Marciniak, C. Kaminski, D. Ron, E. Avezov* c, Single particle trajectories reveal active endoplasmic reticulum luminal flow, Nature Cell Biology 2018. c=corresponding
126-U. Dobramysl D. Holcman, Reconstructing the gradient source position from stochastic fluxes to small receptors, Scientific Report 355:22-36.
125- A. Amitai, D. Holcman, Encounter time of two chromatin loci is governed by polymer de-condensation and modification of local interactions, Phys. Rev.E ;97(3-1):032417. 2018. doi : 10.1103/PhysRevE.97.032417.
124-J. Cartailler T.Know, R. Yuste D. Holcman, Deconvolution of voltage sensor time series and electro-diffusion modeling of synaptic input in dendritic spines, Neuron, 2018 ;97(5):1126-1136 2018


123-U. Dobramysl D. Holcman, Exterior Narrow escape in two dimensions for reconstructing the source position from stochastic fluxes, J of Computational Physics, 2017
122-O. Shukron M. Hauer, D. Holcman, Two loci single particle trajectories analysis : constructing a first passage time statistics of local chromatin exploration, Scientific Reports, 2017
121- A. Amitai, A. Seeber, S. M. Gasser D. Holcman,Visualization of Chromatin Decompaction and Break Site Extrusion as Predicted by Statistical Polymer Modeling of Single-Locus Trajectories Cell Report 18(5):1200-1214 2017
120- M. Hauer A. Seeber R.Thierry A Amitai, J Eglinger D. Holcman T. Owen-Hughes S. Gasser, Histone degradation in response to DNA damage triggers general chromatin decompaction, Nat Struct. Bio, 24(2):99-107. 2017
119- O. Shukron D. Holcman, Transient chromatin properties revealed by polymer models and stochastic simulations constructed from Chromosomal Capture data, PLoS Comput Biol 13 (4), e1005469 2017
118-J. Cartailler, Z. Schuss and D. Holcman, Geometrical Effects on Nonlinear Electrodiffusion in Cell Physiology, 2017 Journal of Nonlinear Science, 1-30 2017
117- J. Cartailler, Z. Schuss and D. Holcman, Electrostatics of non-neutral biological microdomains, Scientific Report, 2017
116- C. Guerrier, D. Holcman, Multiscale models and stochastic simulation methods for computing rare but key binding events in cell biology, J. Computational Physics 340, 617-638 2017
115- N.Hoze, D. Holcman, Stochastic coagulation-fragmentation processes with a finite number of particles and applications, Ann. Applied Probability, 2017 doi:10.1214/17-AAP1334.
114-O. Shukron D. Holcman, Statistics of randomly cross-linked polymer models to interpret chromatin conformation capture data, Physical Review E 96, 012503 (2017)
113- T. Lagache C.Sieben. T Meyer, A. Herrmann D.Holcman,Stochastic Model of Acidification, Activation of Hemagglutinin and Escape of Influenza Viruses from an Endosome, Frontiers in Physics, 5, 25,2017

112- Lagache, T. D. Holcman, Narrow Escape to a composed target and application to viral entry in the nucleus, J.Stat. Physics, 166, 2, pp 244–266 2016.
111- G Tiana, A Amitai, T Pollex, T Piolot, D Holcman, E Heard, L Giorgetti, Structural Fluctuations of the Chromatin Fiber within Topologically Associating Domains, Biophys. Journal 110 (6), 1234-1245.
110- C. Guerrier, D. Holcman, Hybrid Markov-Poissonian model and simulations. Application to calcium dynamics for vesicular release at neuronal synapses, Sci Rep. 2016 ; 6 : 35506. 201
109-K. Dao duc, Z. Schuss D. Holcman, Oscillatory peaks for the escape of a stochastic process across a characteristic boundary, Multiscale Model. Simul., 14(2), 772–798. 201
108-J. Cartailler Z. Schuss D. Holcman, Electrical properties of dendritic spines, Physica D : Nonlinear Phenomena 2016. PDF


107-J. Yang I. Kupka. Z. Schuss D. Holcman, Spermatozoa motion and search for a small egg target in uterus, J. Math Bio. 2015 PDF
106- N.Hoze D. Holcman, Stochastic analysis and extracting features from superresolution data, Physical Review E 92 (5), 052109. 2015 PDF
105- A. Amitai, M Toulouze K. Dubrana D. Holcman, Analysis of single locus trajectories for extracting in vivo chromatin tethering interactions, PLoS Comput Biol 11 (8), e1004433 2015.
104- K. Dao Duc, P. Parutto, X. Chen, J. Epzstein, A Konnerth D. Holcman, Synaptic dynamics and neuronal network connectivity are reflected in the distribution of times in Up states, Frontiers Comp. Neuroscience doi : 10.3389/fncom.2015.00096. eCollection 2015.
103- C. Guerrier D. Holcman, Search time for a small ribbon and application to vesicular release at neuronal synapses, SIAM Multiscale Modeling and Simulations 2015.
102- C. Guerrier, J. Hayes, G. Fortin, D. Holcman, Robust network oscillations during mammalian respiratory rhythm generation driven by synaptic dynamics, PNAS, 112(31):9728-33, 2015.
101- K. Dao Duc, D. Cohen M. Segal, N. Rouach D. Holcman, Facilitation-depression synapses underlie neuronal network reverberation, PLoS One ; 10(5):e0124694. 2015 PDF
100- K. Dao Duc*, J Sibille*, D. Holcman*, N. Rouach*, Potassium regulation through the Kir4.1 channel in astrocyte, consequence for the neural activity PloS Computational Biology ;11(3):e1004137. 2015 * : equally.


99- C Guerrier, D Holcman, Brownian search for targets hidden in cusp-like pockets : Progress and Applications, The European Physical Journal, Special Topics 223 (14), 3273-3285 2014. PDF
98- N.Hoze, D. Holcman, Numerical simulations in empirical domains and residence time of receptors in dendritic spines, Biophysical Journal 107 (12), 2999-3008 2014.
97- N.Hoze, D. Holcman, Kinetics of aggregation with a finite number of particles and application to viral capsid assembly, J. Math Bio., 2014.
96-K. Dao duc, Z. Schuss D. Holcman, Oscillatory decay of the survival probability of activated diffusion across a limit cycle, Phys. Rev E ;89(3):030101. 2014
95- Z. Schuss D. Holcman, Oscillatory survival probability and eigenvalues of non-self adjoint elliptic operators, Multiscale Modeling and Simulations. 12(3), 1294–1308. (2014). PDF
94-U Pannasch, D Fresche, G Knott, P Ezan, K Benchenane, C Escartin, V Abudara, D Holcman, N Rouach, Connexin 30 controls synaptic strength through astroglial synapse invasion, Nat Neuroscience ;17(4):549-58. 2014.
93- D. Holcman K. Dao Duc, E. Byrne A. Jones K. Burrage, Successful delivery of PTEN in the cytoplasm escaping from micro RNA degradation. J. Math Bio., 2014 10.1007/s00285-014-0782-y


92- N.Hoze, D. Holcman, Aggregation with a finite number of particles for viral capsid assembly. Phys. Let. A 2013
91-A. Amitai, D. Holcman, Polymer model with long-range interactions : Analysis and applications to the chromatin structure, Phys. Rev E. 2013
90- A. Amitai, I. Kupka D. Holcman, Kinetics of diffusing polymer encounter in confined cellular microdomains, J. Stat. Phys. 2013
89- Dao Duc, D. Holcman, Computing the length of the shortest telomere across cell division, Phys. Rev Lett. 2013
88-J. Reingruber J. Pahlberg M. Woodroof A. Sampath G. Fain D. Holcman, Detection of of a single photon response in mouse and toad rods, PNAS 110(48):19378-83 doi:10.1073/pnas.1314030110 2013
87- N. Hoze Z. Schuss D. Holcman, Reconstruction of surface and stochastic dynamics from a planar projection of trajectories, SIAM Journal on Imaging Sciences 2013
86-Bouchoucha*, Y Reingruber*, J. Le Men, J Gilardi-Hebenstreit*, P, D. Holcman* Charnay*, P Dissection of a Krox20 positive feedback loop driving cell fate choices in hindbrain patterning. Mol Syst Biol. 2013 ;9:690 * : equally. 2013
85- Z. Xu, K. Dao Duc, D. Holcman, T. Teixeira, The length of the shortest telomere as the major determinant of the onset of replicative senescence (2013) Genetics
84-A. Amitai, D. Holcman, Diffusing polymers in confined microdomains and estimation of chromosomal territory sizes from chromosome capture data, Phys. Rev. Lett. 110, 248105 (2013)
83-N.Hoze, C. Amuroso, M. Ruault, A Taddei, D. Holcman, Dynamics of telomere clustering in the nucleus, Molecular Biology of the Cell, 24(11):1791-800 (2013)


83-A. Amitai, C. Amuroso, A. Ziskind, D. Holcman, Encounter dynamics of a small target by a polymer diffusing in a confined domain, J.Chem. Phys. 137, 244906 (2012)
82- N.Hoze, N. Deepak, E. Hosy, C. Sieben, S. Manley, A. Herrmann, JB Sibarita, D. Choquet, D. Holcman, Stochastic analysis of receptor trajectories from superresolution data, PNAS 2012
81- A. Amitai, I. Kupka D. Holcman, Computation of the Mean First-Encounter Time Between the Ends of a Polymer Chain, PRL 109, 108302, 2012
80-D. Fresche, C.Y. Lee N. Rouach, D. Holcman, Synaptic transmission in neurological disorders dissected by a quantitative approach, 5:5, 1-5 ; Communicative & Integrative Biology (2012)
79-D. Holcman Z. Schuss, Control of flux by narrow passages and hidden targets in cellular biology, Reports on Progress in Physics 76 (7) : 074601
78-Z. Schuss D. Holcman, Brownian Motion in Dire Straits, SIAM Multicale Modeling and simulations 10(4), 1204–1231, 2012
77-N. Hoze A., D. Holcman, Coagulation–fragmentation for a finite number of particles and application to telomere clustering in the yeast nucleus, Physics Letters A,376, 6–7, 845–849, 2012
76- K. Dao Duc, D. Holcman, Using default constraints of the spindle assembly checkpoint to estimate the associated chemical rates, BMC Biophysics ;5(1):1. 2012
75- T. Lagache, O. Danos , D. Holcman, Modeling the Step of Endosomal Escape during Cell Infection by a Nonenveloped Virus Biophysical J. 102(5):980-9. 2012
74- D. Holcman Z. Schuss, A Brownian needle in dire straits, Phys. Rev. E-Short Comm 85, 010103 (2012) .
73-O Stettler, RL. Joshi, A.Wizenmann, J. Reingruber, D. Holcman, C.Bouillot, F. Castagner, A. Prochiantz, and KL. Moya, Engrailed homeoprotein recruits the adenosine A1 receptor to potentiate Ephrin A5 function in retinal growth cones, Development ;139(1):215-24. (2012)
72- A. Amitai I. Kupka D. Holcman, Analysis of the Mean First Looping Time of a Rod-Polymer. Multiscale Model. Simul. 10-2, pp. 612-632 (2012)


71-D. Holcman Z. Schuss, Diffusion laws in dendritic spines, J. Math. Neuroscience 1:10 2011, doi:10.1186/2190-8567-1-10
70-C. Ribrault, J. Reingruber, N. E. Ziv, D. Holcman, A.Triller, Syntaxin1A diffusion
reveals transient and local SNARE interactions, J. Neuroscience 31(48):17590-17602. 2011
69-A. Biess, E.Korkotian D. Holcman, Barriers to diffusion in dendrites and estimation of calcium spread following synaptic inputs PloS Computational Biology 7(10), e1002182 2011
68- D. Holcman N. Hoze Z. Schuss, Narrow escape through a funnel and effective diffusion on a crowded neuronal membrane, Physical Review E, 84, 021906 (2011).
67- J. Reingruber D. Holcman, Transcription factor search for a DNA promoter in a three-state model Physical Review E, 84, 2, 020901 (2011). Selected in FACULTY OF 1000
66- C. Amoruso, T. Lagache D. Holcman, Modeling the early steps of cytoplasmic trafficking in viral infection and gene delivery, SIAM Appl. Math. 71, pp. 2334-2358
65- U. Pannasch, L.Vargova, J. Reingruber, P. Ezan, C. Giaume, D. Holcman, E. Sykova Nathalie Rouach, Astroglial networks scale synaptic activity and plasticity, PNAS 2011 A108 : 8467-8472
64 –S. Vakeroudis M. Yor D. Holcman, The Mean First Rotation Time of a planar
Polymer J. Stat. Phys. DOI : 10.1007/s10955-011-0227-6 (2011)
63- D. Fresche, U. Panache N. Rouach D Holcman, Synapse geometry and receptor dynamics modulate synaptic strength PloS One ;6(10):e25122, (2011) .
62- A. Taflia, D. Holcman, Estimating the synaptic current in a multi-conductance AMPA receptor model, Biophysical Journal. 101(4):781-92, (2011)
61- J. Reingruber D. Holcman, The Narrow Escape Time in a cylindrical domain,
application to the synaptic cleft, SIAM Multiscale analysis. 9, pp. 793-816 (2011)
60- D. Holcman I. Kupka, Semi-classical limit of the first eigenfunction and concentration on the recurrent sets of a dynamical system, Forum Math. 23, No. 1, 1-74 (2011) .


59-Bouzigues C, Holcman D, Dahan M., A Mechanism for the Polarity Formation of Chemoreceptors at the Growth Cone Membrane for Gradient Amplification during Directional Sensing, PLoS One. 2010, 22 ;5(2):e9243
58- Duc, K. D., & Holcman, D. (2010). Threshold activation for stochastic chemical reactions in microdomains. Physical Review E, 81(4), 041107.
57- Reingruber D. Holcman, Gated Narrow Escape Time for Molecular Signaling, J. of Cond. Matter. 22 (2010) 065103
56- G. Malherbe D. Holcman, Stochastic modeling of gene activation and application to cell regulation, J. Th.Bio 271, 1 p51-63 (2010)


55-G. Malherbe, D. Holcman, Search for a DNA target in the nucleus Phys. Lett. A (2009).
54- Reingruber D. Holcman, The Gated Narrow Escape Time for Molecular Signaling, Phys. Rev. Letter 103, 148102 (2009) .
53- D. Holcman I. Kupka, The probability of an encounter of two Brownian particles before escape, J.Phys A, 42, 31 : 315210 (2009)
52- J. Reingruber D. Holcman Narrow escape in a narrow domain, Phys Rev E Stat Nonlin Soft Matter Phys.79:030904 (2009). pdf
51- J. Reingruber, E. Abad, D Holcman, Narrow escape time to a structured target located on the boundary of a microdomain. J Chem Phys. ;130(9):094909 (2009).
50- T. Lagache, E. Dauty, D. Holcman, Toward a quantitative analysis of virus and plasmid trafficking in cells, Phys Rev E Stat Nonlin Soft Matter Phys. ;79:011921(2009)
49- K. Tsaneva, A.Burgo T. Galli, D. Holcman, Modeling neurite growth. Biophys J. ; 96(3):840-57(2009)


48- A. Singer, Z. Schuss, D. Holcman, Narrow escape and leakage of Brownian particles, 78,1 PRE 2008
47- J. Reingruber D. Holcman, Estimating the rate constant of cyclic GMP hydrolysis by activated phosphodiesterase in photoreceptors, J. Chem. Physics. 129,14.145102 2008
46- D. Holcman, Z. Schuss, The first eigenvalue of Laplace operator with small holes, J. Phys. A : Math. Theor. 41 155001 doi:10.1088/1751-8113/41/15/155001.
45- D. Holcman Z, Schuss, Diffusion through a cluster of small windows and flux regulation in microdomains, Phys Lett. A. 372, 21, 3768-3772, 2008
44- T. Lagache D. Holcman, Quantifying the intermittent transport in the cell cytoplasm, Phys. Rev. E 77, 030901(R) Short Com PRE 2008 .
43- T. Lagache D. Holcman, Effective motion of a virus trafficking inside a biological cell, SIAM of Applied Math.68 ,4,p1146-1167 2008 .
42-J. Reingruber D. Holcman, The dynamics of phosphodiesterase activation in rods and cones, 15 ;94(6):1954-70 Biophys. J. 2008 .
41- A. Singer, Z. Schuss, A. Osipov, D. Holcman, Partially Reflected Diffusion, SIAM J. Appl. Math., 68 (3):844-868, 2008 PDF .


40-Z. Schuss, A. Singer, D. Holcman, Narrow Escape : Theory and Applications to Cellular Microdomains, Proc. Nat. Acad. Sci. ;104(41):16098-103. 2007
39-A. Biess, E.Korkotian D. Holcman, Diffusion through a dendritic spine 76, 1, Phys.Rev E 2007
38- D. Holcman V. Kasatkin A. Prochiantz Modeling homeoprotein intercellular transfer unveils a parsimonious mechanism for gradient and boundary formation in early brain J. Theor. Biology 249(3):503-17, 2007
37-V. Kasatkin, A. Prochiantz, D. Holcman, Morphogenetic gradients and the stability of boundaries between neighboring morphogenetic regions ;70(1):156-78. Bull. Math Biology 2007
36-A. Taflia, D. Holcman, Dwell time of a molecule in a microdomain, J. chem. Phys. 126, (23):234107, (2007)
35- D. Holcman, Modeling viral and DNA trafficking in the cytoplasm of a cell J. of Statistical Physics. 127, 3, 471-494, 2007
34- D. Holcman, C. Pugh, The Boundary between Compact and Noncompact Complete Riemann Manifolds, Indiana Journal of Math. 56 No. 1, 437—458, 2007


33- D. Holcman A.Triller. Modeling synaptic dynamics and receptor trafficking, Biophysical Journal ;91(7):2405-15. 2006
32- D. Holcman M.Tsodyks. Emergence of the Up and Down States in cortical networks, PloS Comput Biol. 2(3):p23. 2006
31- D. Holcman, I. Kupka. Singular perturbation for the first eigenfunction and blow up analysis, Forum Math : 18, 3 p 445-518. 2006
30-A. Singer Z, Schuss, D. Holcman, B. Eisenberg. Narrow Escape I, J. of Statistical Physics. Vol. 122, 3 p437 – 463. 2006
29-A. Singer Z, Schuss, D. Holcman. Narrow Escape II J. of Statistical Physics. Vol. 122, 3 p465-89. 2006
28-A. Singer Z, Schuss, D. Holcman. Narrow Escape III J. of Statistical Physics. Vol. 122, 3 p491-509. 2006


27- D. Holcman, E. Korkotian, M. Segal. 2005. Dendritic spines : models and experiments, Review, Cell Calcium 2005 ;37(5):467-75
26-D. Holcman A. Marchevska Z. Schuss, The survival probability of diffusion with killing Phys. Rev. E. 72, 031910, 2005
25-E Bart, S. Bao, D. Holcman. Modeling the spontaneous activity in the auditory cortex, Journal of Computational Neuroscience ;19(3):357-78, 2005
24- D. Holcman, I. Kupka. Concentration of the first eigenfunction for a second order elliptic operator, C.R.A.S, 341 no. 4, 243-246, 2005
23- D. Holcman J. Korenbrot, The limit of photoreceptor sensitivity ; molecular mechanisms of dark current noise in retinal, J Gen Physiol.,125(6):641-60, 2005
22- D. Holcman, Z. Schuss. Stochastic chemical reactions in microdomains, Journal of Chemical Physics 122, 114710, 2005
21 - D. Holcman, Z. Schuss. Modeling Calcium Dynamics in Dendritic Spines SIAM of Applied Math 65, 3 pp. 1006-1026, 2005
20- D. Holcman, I. Kupka. Perturbation methods and first-order partial differential equations on Riemannian manifolds, Q.J. Math. 56, 1, 65-93


19- E. Korkotian, D. Holcman, M. Segal. Dynamic Regulation of Spine-Dendrite Coupling in Cultured Hippocampal Neurons, European Journal of Neuroscience, 20:2649-2663, 2004 PDF.
18- D. Holcman, Schuss Z : Escape through a small opening : receptor trafficking in a synaptic membrane. J. Statist. Phys. 117 (2004), 5-6, 975—1014 PDF.
17- D. Holcman, Z. Schuss, E. Korkotian. Calcium dynamic in dendritic spines and spine motility, Biophysical Journal, 87:81-91, 2004 PDF.
16- D. Holcman, J. Korenbrot. Longitudinal diffusion in retinal rod and cone outer segment cytoplasm : the consequence of cell structure, Biophysical Journal, 86:2566-2582, 2004. PDF


15- D.Holcman M.Margaliot, Stability Analysis of Switched Homogeneous Systems in the plane, SIAM J. of Control, 41 (2002), no. 5, 1609—1625. PDF


14-P. Greiner, D. Holcman, Y. Kannai. Wave Kernel related to second order operators, Duke Mathematical Journal. 114 (2002), no. 2, 329–386

13- D. Holcman. Prescribed Scalar Curvature problem on Complete manifolds, J. Math. Pures Appl. (9) 80, no. 2, 223-244
12- D. Holcman I. Kupka. Singular Perturbation and first order PDE on manifolds. C. R. Acad. Sci. Paris Sér. I Math. 333, no. 5:465-470 PDF.
11- D. Holcman, E. Humbert. Poincare-Sobolev inequality on manifolds with boundary, Math. Z. 237, no. 4, 669-695 .
10- D. Holcman. Solutions nodales d’EDP non linéaires sur les variétés non localement conformément plates. Comment. Math. Helv. 76, no. 3, 373-387

9- D. Holcman Nonlinear PDE with vector fields, J. Anal. Math. 81, 111-137.
8- D. Holcman. Influence de la masse sur les solutions nodales d’EDP non linéaires, Bull. Sci. Math. 124, no. 5, 385-414.

7- Barrie J.M., D. Holcman, Freeman W.J. Statistical evaluation of clusters derived by nonlinear mapping of EEG spatial patterns, Journal of Neuroscience Methods, 90:87-95.
6- D. Holcman. On the mass of manifolds with boundary, C. R. Acad. Sci. Paris Sér. I Math. 328, no. 12, 1191-1196.
5- D. Holcman. EDP non linéaires avec champ de vecteurs, Compt. Rend. Acad. Sci. Paris. Sér. I Math 329 n° 10, 871-879.
4- D. Holcman. Prescribed Scalar Curvature problem on Complete manifolds, Compt. Acad. Sci Série I,t 328, 321-326.
3- D. Holcman. Solutions nodales sur les variétés Riemanniennes, J. of Funct. Analys., 26, 219-245.

2- D. Holcman. Solutions nodales sur les variétés riemanniennes à bord, Compt. Rend. Acad. Sci. Paris, t.326, Série I, p1321-1324.
1- D. Holcman. Solutions nodales sur les variétés Riemanniennes compactes, Compt. Rend. Acad. Sci. Paris, t.326, Série I, 1205-1208.

Meeting reports in applied sciences (after 2007)

30- J Heck, P Parutto, R Freund, A Ciuraszkiewicz, A Bikbaev, M Andres-Alonso, A Fejtova, D Holcman, M Heine , Calcium channel surface dynamic influences synaptic transmission, JOURNAL OF NEUROCHEMISTRY 142, 122-1232017.
29- D Holcman, A Amitai, Dynamics of dsDNA Break, Organization of the Nucleus Based on Polymer Dynamics, Biophysical Journal 106 (2), 272a, 2014.
28- A. Amitai, M. Toulouze K. Dubrana, D. Holcman, DNA dynamics, nucleus organization, analysis of dsDNA break, based on a novel polymer model approach and analysis, EMBO 2013.
27- C. Sieben, N. Hoze, K. Horst, C. Wolff, MJ. Lehmann, D. Holcman, A. Herrmann. Single Influenza Virus Tracking Reveals Cell Specific Modes of Movement - a Key to Understand Cellular Tropism Biophysical Journal 104(2) pp. 415a - 416a
26- T. Lagache, O. Danos, D. Holcman Modeling the Step of Endosomal Escape during Cell Infection by a Nonenveloped Virus Biophysical Journal 102(5) pp. 980 - 989
25- D. Holcman, analyzing superresolution data, EMBO, ENS 2012
24- D. Holcman modeling potassium dynamics, FENS, Spain July 212
23- D. Holcman, Modeling the Synaptic Current in Neurobiology, 2011 Vancouver.
22- K. Tsaneva-Atanasova D. Holcman Modeling the Dynamics of Neurite Growth, ICIAM 2011 Vancouver.
21-D. Holcman Modeling Cellular Biology : What Have Learnt from Viral Infection
ICIAM 2011 Vancouver.
20- D. Holcman, unravealing chemical interaction at the molecular level for AMPAR trafficking, "Single Cell Physiology", EMBO 2012.
19-D. Holcman, modeling superresolution data, Jacques Monod Conference "Imaging neuronal functions : from molecules to circuits"2012.
18- J. Reingruber D. Holcman The Biophysics Of The Single Photon-response In Rods Accounting For The Molecular Background Noise749/A626 – Arvo 2012
17-. D.Holcman, G. Lejay, J. Reingrube, B. Minke Single Photonresponse In The Fly Photoreceptor, 4134 ARVO 2012
16- Bouchoucha, Y Reingruber, J Le Men, J Gilardi-Hebenstreit, P, D. Holcman Charnay, P Patterning of the vertebrate hindbrain : A computational approach, : 70th Annual Meeting of the Society-for-Developmental-Biology Location : Chicago, IL Jul, 2011, 356 Issue : 1 Pages : 237-237 DOI : 10.1016/j.ydbio.2011.05.411 Meeting Abstract : 449
15- A. Amitai I. Kupka D. Holcman, The Mean Looping Time of DNA, Biophys J., Volume 100, Issue 3, Supp, 2011, Page 76a
14-A de Meyer, N. Hoze, M. Ruault, D. Holcman, A. Taddei, Telomere clustering in budding yeast reveals principles for protein-mediated interactions between chromosomes
EMBO Workshop Advanced Light Microscopy Techniques, 10th International ELMI Meeting 2010.
13-Lagache, T. D. Holcman, Mean Time and Probability to Reach a Structured Target
Biophys J., vol. 98, issue 3, pp. 722a-722a 2010.
12-Hoze, N. Taddei, A. D. Holcman, Dynamics of Telomere Clustering in the Nucleus :
Biophys J., vol. 98, issue 3, pp. 58a-58a 2010.
11-Reingruber, J. ; Bosanac, L. ; Darzacq, X. D. Holcman. Transcription Factor Switching Dynamics Regulates Gene Activation, Biophys J., vol. 98, issue 3, pp. 70a-70a, 2010.
10- J. Reingruber D. Holcman, Estimating The Rate Constant Of Cyclic GMP Hydrolysis By Activated Phosphodiesterase In Photoreceptors Biophys J. Volume 96, Issue 3, Pages 269a-269a Page 525a (2009).
9- D. Fresche D. Holcman, Should a synapse be reliable ? Biophys J., Volume 96, Issue 3, Pages 269a-269a (2009).
8-Lagache.,T ; Danos, O. D. Holcman., Modeling The Endosomal Stage of Viral Infection : Biophys J., vol. 96, issue 3, pp. 307a-307a. (2009).
7-D. Holcman, Modeling neurite outgrowth, EMBO short-report, Spatial Conference (2009).
5-Biess, A ; Korkotian, E ; Holcman, D, Calcium diffusion in inhomogeneous dendrites, Biophys J. 185A-186A (2007).
4-Lagache, T ; Holcman, D, Effective motion of a virus trafficking inside a biological cell. : Biophys J. 154A-154A (2007).
3-Malherbe, G ; Holcman, D, Average search time for a transcription factor in the DNA : the case of one or more transcription factors : Biophys J. Pages : 411A-411A (2007)
2-Taflia, A ; Holcman, D Dwell time of a Brownian interacting molecule in a cellular microdomain. 51st Annual Meeting of the Biophysical-Society Biophys J.:185A-185A (2007)
1-Tsaneva-Atanasova, K ; Azzopardi, N ; Galli, T Holcman, D, Modeling vesicle trafficking and neurite growth, 51st Annual Meeting of the Biophysical-Society, Biophys J. : 115A-115A (2007)