Publication summary: Total (peer reviewed)=162. 3 non-peer reviewed publications. 26 submitted or written.110 research publications. 10 reviews. 9 chapters/comments/review. 29 meeting reports (>2007). 1 book Springer .

Field covered: Computational Biology and Neurobiology, Integrative Cellular and Molecular Biology, Applied Mathematics, Stochastic processes, Asymptotic of Partial differential Equations, Statistical Physics, Biophysics, Stochastic simulations of cellular processes. Multiscale modeling in neuroscience.

List of publications

Published in ArXiv only.

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 (in production) 2015.…

Book chapters and Commentaries, View points, Opinions

10- D. Holcman Z. Schuss, New mathematics and physics in life sciences and medicine, Physics Today (in press).

9- N. Rouach, D Holcman, Modeling neuron-glia interactions (invited chapter) Springer.

8- K. Reynaud, Z Schuss, N Rouach, D Holcman, Why so many sperm cells? Communicative & Integrative Biology:3, e1017156; 2015.

7- D. Holcman R. Yuste, The new nanophysiology: Towards nanophysiology: Regulation of ionic flow in neuronal subcompartments, 16, Nat. Rev. Neuroscience 2015.

6- D. Holcman, Multiscale modeling, stochastic and asymptotic approaches for analyzing neural networks based on synaptic dynamics, ESAIM: Proceedings and Surveys 47, 36-54 2015.

5- D. Holcman, Review on the book ”Nonlinear Filtering and Optimal phase tracking” by Zeev Schuss, SIAM Review 2014.

4- D. Holcman, Unraveling novel features hidden in superresolution microscopy data, Perspective, Communicative & Integrative Biology, 1;6(3):e23893. 2013

3- C. Guerrier, E. Korkotian, D. Holcman Calcium dynamics in Microdomains: From mathematical modeling to data analysis, Encyclopedia Computational Neurobiology, Springer 2014, pp 1-37

2-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.

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).


9- D. Holcman N.Hoze, Z. Schuss, Analysis of Single Particle Trajectories, Biophysical Journal (in revision) 2015.

8-J. Reingruber, D. Holcman G. Fain, Optimal interplay geometry-biochemistry in single photoresponse.

7-A. Amitai D. Holcman, Polymer physics of the nucleus organization, 2015.

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), 1730012014.

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: early pre-prints

134-J. Cartailler T.K, R. Yuste D. Holcman, Analysis of voltage dynamics in dendritic spines 133-J. Cartailler D. Holcman, Stationary PNP in general domains.

132- A.Amitai, Kupka D. Holcman, Asymptotic computation of the mean looping time for a Rouse polymer.

131-O. Shukron D. Holcman, Coarse-grained simulations of nucleosomes reposition

130-A. Amitai, D. Holcman, The Homologous Search in the nucleus.

129- N.Hoze, D. Holcman, Aggregation-dissociation for a finite number of particles.

128-C. Guerrier V. Bartoz, D. Holcman, Ultimate sensing.

127- Z. Schuss D. Holcman, escape on a square window.

126- Z. Schuss D. Holcman, spectrum of the FPE with critical points on a limit cycles.

125-O. Shukron D. Holcman, Mean time for nuclear factory formation

124- G. Lejay, J. Reingruber, B. Katz B. Minke, D. Holcman: Deriving the bump activation in fly photoreceptors from molecular dynamics simulation

123- A.Amitai, L. Georgetti E. Heard D. Holcman, Analysis of X-chromosome dynamics.

122- Lagache, T. D. Holcman, Narrow Escape to a composed target and application to viral entry in the nucleus

121-J. Yang T. Lagache, D. Heinrich K. Reynaud D. Holcman, Sperm motion in uterus.

120- N.Hoze, D. Holcman, Effect of noise on stochastic analysis of superresolution data

119- N. Despierre, D. Holcman, Theory of Escape time for correlated particles and applications

118- N.Hoze, J.C Poncer S. Levi D. Holcman, Organization of the perisynaptic space for KCC1 trafficking.

117-C. Lespagnol, D. Holcman, NET for a needle

116-J. Cartailler D. Holcman, Epileptic oscillation in Cx30 KO.

115-Z. Schuss D. Holcman, MFPT for the telomere length.

114- T. Lagache, C Sieben, A Hermann, D. Holcman, Endosomal escape for enveloped viruses.

113- C. Guerrier, D. Holcman, Hybrid Markov-Poissonian simulations of calcium for vesicular release at neuronal synapses.

112-N. Hoze C. Sieben A. Hermann D. Holcman, Analysis of influenza viral trajectories

111- A.Amitai, D. Holcman, search of a promoter in the chromatin.

Publications published or in press


110-K. Dao duc, Z. Schuss D. Holcman, Oscillatory peaks for the escape of a stochastic process across a characteristic boundary, (revision) SIAM.

109- A. Amitai, A. Seeber, S. M. Gasser D. Holcman, Chromatin interaction removal and local reorganization during homologous search in the cell nucleus (revision).

108-J. Cartailler Z. Schuss D. Holcman, Electrical properties of dendritic spines (revision), SIAP.

107-J. Yang I. Kupka. Z. Schuss D. Holcman, Spermatozoa motion and search for a small egg target in uterus, (revision), J. Math Bio.

106- N.Hoze D. Holcman, Stochastic analysis and extracting features from superresolution data (accepted), Phys. Rev. E.

105- A. Amitai, M Toulouze K. Dubrana D. Holcman, Analysis of single locus trajectories for extracting in vivo chromatin tethering interactions PloS Computational Biology (revision) 2015.

104- K. Dao Duc, P. Parutto, X. Chen ,J. Epzstein, A Konnerth D. Holcman, Peak-Oscillation of the sojourn times in the Up-state of neuronal network, Frontieres Comp. Neuroscience 2015.

103- C. Guerrier D. Holcman, MFPT to a cusp, Multiscale Modeling and Simulations (revision MMS) 2015.

102- C. Guerrier, J. Hayes, G. Fortin, D. Holcman, Modeling the PreBotzniger complex, PNAS 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

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.

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).

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, beta-model application to DNA modeling in the nucleus, 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 Stochastic switching in a feedback loop controls vertebrate hindbrain patterning revision () Mol. Sys. Biol. *: 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 doi:10.1073/pnas.1204589109 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.

78-Z. Schuss D. Holcman, The dire strait time, SIAM Multicale Modeling and simulations, 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 endosomal escape of non enveloped viruses, case of the AAV 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, mean time for a polymer to loop. 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-K. Dao Duc, D. Holcman, Mean time to threshold activation PRE 81,1 2010

57- Reingruber D. Holcman, Modeling with 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 doi:10.1016/j.physleta.2009.11.027 (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).

51- J. Reingruber, E. Abad, D Holcman, Narrow escape time to a three-dimensional protrusion 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® 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.


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. A theory of stochastic chemical reactions in confined microstructures, 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.

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.

17- D. Holcman, Z. Schuss, E. Korkotian. Calcium dynamic in dendritic spines and spine motility, Biophysical Journal, 87:81-91, 2004.

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.


15- D. Holcman, M. Margaliot. Stability Analysis of Switched Homogeneous Systems in the plane, SIAM J. of Control. 41: 1609-1625. 2002

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.

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)

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 Synpatic 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)