Publications of A.

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73 publication entries, 42 of them (printed in bold in the list) acknowledge the project support.
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Paper (reviewed)

Antolik and Bednar 2011Antolik, J. and Bednar, J.A. Development of maps of simple and complex cells in the primary visual cortexFront. Comput. Neurosci. (2011) 5:17
doi:10.3389/fncom.2011.00017
abstract, fulltext
Bedard and Destexhe 2013Bedard, C. and Destexhe, A. Generalized cable theory for neurons in complex and heterogeneous mediaPHYSICAL REVIEW E (2013) 88: 022709
doi:10.1103/PhysRevE.88.022709
abstract, fulltext
Bezgin et al. 2012Bezgin, G., Vakorin, V. A., van Opstal, A. J., McIntosh, A. R. and Bakker, R. Hundreds of brain maps in one atlas: Registering coordinate-independent primate neuro-anatomical data to a standard brainNeuroImage (2012) 62(1): 67-76
doi:10.1016/j.neuroimage.2012.04.013
(fulltext)
Blackman et al 2014A. V. Blackman, S. Grabuschnig, R. Legenstein, and P. J. SjöströmA comparison of manual neuronal reconstruction from biocytin histology or 2-photon imaging: morphometry and computer modelingFrontiers in neuroanatomy (2014) : 8
doi:10.3389/fnana.2014.00065
abstract, fulltext
Bogadhi et al. 2013Bogadhi, A., Montagnini, A. and Masson, G.S.Dynamical interaction between retinal and extra-retinal signals in motion integration for smooth pursuitJournal of Vision (2013) 13(13): 5
doi:10.1167/13.13.5
fulltext
Bopp et al. 2014Bopp, R., Maçarico da Costa, N., Kampa, B.M., Martin, K.A. and Roth M.M.Pyramidal cells make specific connections onto smooth (GABAergic) neurons in mouse visual cortexPLoS Biol. (2014) 12(8):e1001932
doi:10.1371/journal.pbio.1001932
abstract, fulltext
Brüderle et al. 2011Brüderle, D., Petrovici, M. A., Vogginger, B., Ehrlich, M., Pfeil, T., Millner, S., Grübl, A., Wendt, K., Müller, E., Schwartz, M.-O., de Oliveira, D. H., Jeltsch, S., Fieres, J., Schilling, M., Müller, P., Breitwieser, O., Petkov, V., Muller, L., Davison, A. P., Krishnamurthy, P., Kremkow, J., Lundqvist, M., Muller, E., Partzsch, J., Scholze, S., Zühl, L., Mayr, C., Destexhe, A., Diesmann, M., Potjans, T. C., Lansner, A., Schüffny, R., Schemmel, J. and Meier, K. A comprehensive workflow for general-purpose neural modeling with highly configurable neuromorphic hardware systemsBiological Cybernetics (2011) 104(4-5): 263-296
doi:10.1007/s00422-011-0435-9
abstract, fulltext
Chapuis and Tetzlaff 2014Chapuis, A. and Tetzlaff, T.The variability of tidewater-glacier calving: origin of event-size and interval distributionsJournal of Glaciology (2014) 60 (222): 622-634
doi:10.3189/2014JoG13J215
abstract
Dagnino et al. 2015Dagnino, B., Gariel-Mathis, M.-A. and Roelfsema, P. R. Microstimulation of area V4 has little effect on spatial attention and on the perception of phosphenes evoked in area V1Journal of Neurophysiology (2015) 113(3): 730-739
doi:10.1152/jn.00645.2014
abstract
Davison 2012Davison, A. P.Automated Capture of Experiment Context for Easier Reproducibility in Computational Research Computing in Science and Engineering (2012) 14: 48-56
doi:10.1109/MCSE.2012.41
abstract, fulltext
Denker et al. 2011cDenker, M., Roux, S., Lindén, H., Diesmann, M., Riehle, A. and Grün, S.The local field potential reflects surplus spike synchronyCerebral Cortex (2011) 21:2681-2695
doi:10.1093/cercor/bhr040
abstract, fulltext
Destexhe and Bedard 2012Destexhe, A. and Bedard, C.Do neurons generate monopolar current sources?AJP - JN Physiol (2012) 108(4): 953-955
doi:10.1152/jn.00357.2012
abstract, (fulltext)
Devor et al. 2013Devor, A., Bandettini, P., Boas, D., Bower, J., Buxton, R., Cohen, L., Dale, A., Einevoll, G., Fox, P., Franceschini, M., Friston, K., Fujimoto, J., Geyer, M., Greenberg, J., Halgren, E., Hamalainen, M., Helmchen, F., Hyman, B., Jasanoff, A., Jernigan, T., Judd, L., Kim, S.-G., Kleinfeld, D., Kopell, N., Kutas, M., Kwong, K., Larkum, M., Lo, E., Magistretti, P., Mandeville, J., Masliah, E., Mitra, P., Mobley, W., Moskowitz, M., Nimmerjahn, A., Reynolds, J., Rosen, B., Salzberg, B., Schaffer, C., Silva, G., So, P., Spitzer, N., Tootell, R., Essen, D. V., Vanduffel, W., Vinogradov, S., Wald, L., Wang, L., Weber, B. and Yodh, A. The challenge of connecting the dots in the B.R.A.I.N.Neuron (2013) 80: 270-274
doi:10.1016/j.neuron.2013.09.008
abstract
Estebanez et al. 2012Estebanez, L., Boustani, S. E., Destexhe, A. and Shulz, D. E. Correlated input reveals coexisting coding schemes in a sensory cortexNature Neuroscience (2012) 15: 1691-1699
doi:10.1038/nn.3258
abstract, (fulltext)
Gomez-Gonzales et al 2014Gomez-Gonzales, J.F., Destexhe, A. and Bal, T.Application of active electrode compensation to perform continuous voltage-clamp recordings with sharp microelectrodesJ. Neural Engineering (2014) 11:056028
doi:10.1088/1741-2560/11/5/056028
abstract
Grassia et al. 2011Grassia, F., Buhry, L., Levi, T., Tomas, J., Destexhe, A. and Saaghi, S.Tunable neuromimetic integrated system for emulating cortical neuron modelsFront. Neurosci. (2011) 5:134
doi:10.3389/fnins.2011.00134
Helias et al. 2012Helias, M., Kunkel, S., Masumoto, G., Igarashi, J., Eppler, J. M., Ishii, S., Fukai, T., Morrison, A. and Diesmann, M. Supercomputers ready for use as discovery machines for neuroscienceFront. Neuroinform. (2012) 6:26
doi:10.3389/fninf.2012.00026
fulltext
Kaplan and Lansner 2014Kaplan, B.A. and Lansner, A.A spiking neural network model of self-organized pattern recognition in the early mammalian olfactory systemFront. Neural Circuits (2014) 8:5
doi:10.3389/fncir.2014.00005
abstract
Kaplan Khoei et al 2014Kaplan, B.A., Khoei, M.A., Lansner, A. and Perrinet, L.U.Signature of an anticipatory response in area V1 as modeled by a probabilistic model and a spiking neural networkInternational Joint Conference on Neural Networks (IJCNN) (2014) : 3205-3212

doi:10.1109/IJCNN.2014.6889847
abstract
Kunkel et al. 2011bKunkel, S., Potjans, T.C., Eppler, J.M., Plesser, H.E., Morrison, A. and Diesmann, M.Meeting the memory challenges of brain-scale network simulationFront. Neuroinform. (2011) 5:35
doi:10.3389/fninf.2011.00035
abstract
Milekovic et al. 2015Milekovic, T., Truccolo, W., Grün, S., Riehle, A. and Brochier, T.Local field potentials in primate motor cortex encode grasp kinetic parametersNeuroimage (2015) 114: 338-355
doi:10.1016/j.neuroimage.2015.04.008
fulltext
Muller and Destexhe 2012Muller, L. and Destexhe, A. Propagating waves in thalamus, cortex and the thalamocortical system: Experiments and modelsJournal of Physiology-Paris (2012) 106 (5-6): 222-238
doi:10.1016/j.jphysparis.2012.06.005
(fulltext)
Muller et al. 2014bMuller, L.E., Destexhe, A. and Rudolph-Lilith, M.Brain networks: small-worlds, after all?New Journal of Physics (2014) 16: 105004
doi:10.1088/1367-2630/16/10/105004
abstract, fulltext
Perrinet et al. 2014Perrinet, L.U., Adams, R.A. and Friston, K.J.Active inference, eye movements and oculomotor delaysin Biological Cybernetics (2014) 108(6):777-801
doi:10.1007/s00422-014-0620-8
fulltext, BibTeX
Peyrache et al. 2011Peyrache, A., Battaglia, F. and Destexhe, A. Inhibition recruitment in prefrontal cortex during sleep spindles and gating of hippocampal inputsPNAS (2011) 108(41): 17207-17212
doi:10.1073/pnas.1103612108
fulltext
Pooresmaeili and Roelfsema 2014Pooresmaeili, A. and Roelfsema, P. R. A Growth-Cone Model for the Spread of Object-Based Attention during Contour GroupingCurrent Biology (2014) 24(24): 2869-2877
doi:10.1016/j.cub.2014.10.007
abstract
Rankin et al. 2013bRankin, J., Meso, A. I., Masson, G.S., Faugeras, O. and Kornprobst, P. Bifurcation study of a neural field competition model with an application to perceptual switching in motion integrationJournal of Computational Neuroscience (2013) September: 1-21
doi:10.1007/s10827-013-0465-5
fulltext
Reig et al. 2015Reig, R., Zerlaut, Y., Vergara, R., Destexhe, A. and Sanchez-Vives, M.Gain modulation of synaptic inputs by network state in auditory cortex in vivoJournal of Neuroscience (2015) 35: 2689-2702
doi:10.1523/JNEUROSCI.2004-14.2015
abstract
Schain et al. 2013Schain, M., Benjaminsson, S., Varnäs, K., Forsberg, A., Halldin, C., Lansner, A., Farde, L. and Varrone, A. Arterial input function derived from pairwise correlations between PET-image voxelsJ Cereb Blood Flow Metab (2013) 33:1058-1065
doi:10.1038/jcbfm.2013.47
(fulltext)
Self et al. 2014Self, M.W., Lorteije, J.A.M., Vangeneugden, J., van Beest, E.H., Grigore, M.E., Levelt, C., Heimel, J.A. and Roelfsema, P.R.Orientation-Tuned Surround Suppression in Mouse Visual CortexThe Journal of Neuroscience (2014) 34(28): 9290-9304
doi:10.1523/JNEUROSCI.5051-13.2014
fulltext
Takerkart et al. 2014Takerkart, S., Katz, P., Garcia, F., Roux, S., Reynaud, A. and Chavane, F.Vobi One: a data processing software package for functional optical imaging.Front. Neurosci. (2014) 8:2
doi:10.3389/fnins.2014.00002
fulltext
Vella et al. 2014Vella, M., Cannon, R.C., Crook, S., Davison, A.P., Ganapathy, G., Robinson, H.P.C., Silver, R.A. and Gleeson, P.libNeuroML and PyLEMS: using Python to combine procedural and declarative modelling approaches in computational neuroscienceFrontiers in Neuroinformatics (2014) 8: 38
doi:10.3389/fninf.2014.00038
abstract
Vogels et al 2013T. P. Vogels, R. C. Froemke, N. Doyon, M. Gilson, J. S. Haas, R. Liu, A. Maffei, P. Miller, C. J. Wierenga, M. A. Woodin, F. Zenke and H. SprekelerInhibitory synaptic plasticity: spike timing-dependence and putative network functionFrontiers In Neural Circuits (2013) : 7
doi:10.3389/fncir.2013.00119
fulltext

Review

Crook et al. 2012Crook, S. M., Bednar, J. A., Berger, S., Cannon, R., Davison, A. P., Djurfeldt, M., Eppler, J., Kriener, B., Furber, S., Graham, B., Plesser, H. E., Schwabe, L., Smith, L., Steuber, V. and van Albada, S.Creating, documenting and sharing network modelsNetwork: Computation in Neural Systems (2012) 23(4): 131-149
doi:10.3109/0954898X.2012.722743
abstract, fulltext

Book chapter

Crook et al. 2013Crook., S. M., Davison, A. P. and Plesser, H. E. Learning from the past: approaches for reproducibility in computational neuroscienceIn: J.M. Bower (Ed.), 20 Years of Computational Neuroscience, Springer, ISBN 978-1-4614-1423-0
doi:10.1007/978-1-4614-1424-7_4
abstract
Destexhe and Rudolph-Lilith 2014Destexhe, A. and Rudolph-Lilith, M.Noisy dendrites: Models of dendritic integration in vivo. In: The Computing Dendrite, Edited by Cuntz, H., Remme, M.W.H. and Torben-Nielsen, B., Springer, New York, pp. 173-190, 2014, ISBN 978-1-4614-8093-8 abstract
Lansner and Diesmann 2012Lansner, A. and Diesmann, M. Virtues, Pitfalls, and Methodology of Neuronal Network Modeling and Simulations on SupercomputersComputational Systems Neurobiology, Editors N. Le Novère, ISBN: 978-94-007-3857-7 (Print) 978-94-007-3858-4 (Online) (2012): 283-315 abstract

Conference contribution: talk

Denker et al. 2014Denker, M., Abrams, M., Wachtler, T., Davison, A. and Grün, S. INCF workshop report: New perspectives on workflows and data management for the analysis of electrophysiological data.Neuroinformatics 2014, Leiden, Netherlands, 08/25/2014 - 08/27/2014
doi:10.3389/conf.fninf.2014.18.00021
abstract
Denker et al. 2014bDenker, M., Zehl, L., Yegenoglu, A., Wachtler, T., Davison, A. and Grün, S. Improving Workflows and Data Management for the Analysis of Electrophysiological DataAdvances in Neuroinformatics 2014, AINI2014, Wako-shi, Japan, 09/25/2014 - 09/26/2014
Helias et al. 2014aHelias, M., Kunkel, S., Morrison, A. and Diesmann, M. NEST, simulation technology for brain-scale networks at cellular and synaptic resolutionSOS18 Conference on distributed supercomputing, St. Moritz, Switzerland, 03/17/2014 - 03/20/2014
Kunkel et al. 2014cKunkel, S., Helias, M., Diesmann, M. and Morrison, A. Specifying supercomputers for brain-scale neuronal network simulationsHPC for Life Science, Brussels, Belgium, 05/26/2014 - 05/27/2014
Kunkel et al. 2014dKunkel, S., Helias, M., Diesmann, M. and Morrison, A. Supercomputer simulations of spiking neuronal networksProgress on Brain-Like Computing, Stockholm, Sweden, 02/05/2014 - 02/06/2014
Schemmel et al. 2012aSchemmel, J. and Grübl, A. and Kononov, A. and Meier, K. and Millner, S. and Schwartz, M. and Scholze, S. and Schiefer, S. and Hartmann, S. and Partzsch, J. and Mayr, C. and Schüffny, R.Live Demonstration: A Scaled-Down Version of the BrainScaleS Wafer-Scale Neuromorphic SystemIEEE International Symposium on Circuits and Systems 2012

Conference contribution: poster

Bachmannet al 2013Bachmann, C. ; Tetzlaff, T. ; Kunkel, S. ; Bamberger, P. ; Morrison, A.
Computational characteristics of recurrent neural networks under the influence of Alzheimer's disease
10th Göttingen Meeting of the German Neuroscience Society, Göttingen, Germany, 03/13/2013 - 03/16/2013
Bachmannet al 2013bBachmann, C., Tetzlaff, T., Kunkel, S., Bamberger, P. and Morrison, A.
Effect of Alzheimer's disease on the dynamical and computational characteristics of recurrent neural networks
22nd Annual Computational Neuroscience Meeting, CNS*2013, Paris, France, 07/13/2013 - 07/18/2013
Bakkeret al 2012Bakker, R. ; Denker, M. ; Diesmann, M. ; Eppler, J. M. ; Grün, S. ; Grytskyy, D. ; Helias, M. ; Ito, J. ; Maximov, A. ; Schmidt, M. ; Tetzlaff, T. ; Torre, E. ; van Albada, S. ; Wiebelt, B. ; Zehl, L.
Planned activities in Jülich
BrainScales Conference, Jülich, Germany, 03/19/2012
Bogadhi et al. 2011Bogadhi, A., Montagnini, A. and Masson, G.S.Dynamical interaction between retinal and extra-retinal signals in motion integration for smooth pursuitJournal of Vision (2011) 11(11): article 533
doi:10.1167/11.11.533
abstract
Dehghani et al. 2011Dehghani, N., Peyrache, A., Eskandar, E., Madsen, J., Anderson, W., Donoghue, J.,
Halgren, E., Destexhe, A. and Cash, S.
Relationship between excitatory and inhibitory neuronal activity and local field potentials during human sleep.Soc Neurosci Abstracts 37: 451.05
Denker et al. 2012Denker, M., Zehl, L., Brochier, T., Riehle, A. and Grün, S.Spatial organization of joint spiking and local field potential coherence in motor cortex.Poster contribution at conference Neurovisionen 8; Aachen, Germany; 10/26/2012.
Denker et al. 2012cDenker, M., Zehl, L., Brochier, T., Grün, S., Riehle, A.
Spatial organization of synchronized activity expressed by joint spiking and local field potentials in motor cortex
8th FENS Forum of European Neuroscience 2012, Barcelona, Spain
abstract
Denker et al. 2014aZehl, L., Kilavik, B., Diesmann, M., Brochier, T., Riehle, A. and Grün, S. Characterizing spatially organized LFP beta oscillations in the macaque motor cortexAREADNE 2014, Santorini, Greece, 06/25/2014 - 06/29/2014
Denker et al. 2015Denker, M., Yegenoglu, A., Holstein, D., Torre, E., Jennings, T., Davison, A. and Grün, S.elephant: An open-source tool for the analysis of electrophysiological dataProceedings of the 11th Meeting of the German Neuroscience Society, Neuroforum (2015) T27-2B
Denkeret al 2013Denker, M. ; Riehle, A. ; Diesmann, M. ; Grün, S.Relating excess spike synchrony to LFP-locked firing rate modulations.
Annual CNS Meeting 2013, Paris, France, 07/13/2013 - 07/18/2013
Eppler et al. 2011Eppler, J.M., Kunkel, S., Plesser, H.E., Gewaltig, M.-O., Morrison, A. and Diesmann, M.NEST: An efficient simulator for spiking neural network modelsPoster at the Ninth Göttingen Meeting of the German Neuroscience Society 2011: T27-9B abstract
EpplerM et al 2013Eppler, J. M. ; Kunkel, S. ; Helias, M. ; Zaytsev, Y. ; Plesser, H. E. ; Gewaltig, M.-O. ; Morrison, A. ; Diesmann, M.
20 years of NEST: a mature brain simulator
INM Retreat 2013, Jülich, Germany, 07/02/2013 - 07/03/2013
Galluppi et al. 2012Galluppi, F., Davies, S., Rast, A., Sharp, T., Plana, L. A. and Furber, S. A hierachical configuration system for a massively parallel neural hardware platformCF '12 Proceedings of the 9th conference on Computing Frontiers, Cagliari (2012): 183-192
doi:10.1145/2212908.2212934
abstract, fulltext
Helias et al. 2012aHelias, M., Kunkel, S., Eppler, J., Masumoto, G., Igarashi, J., Ishii, S., Fukai, T., Morrison, A. and Diesmann, M.Spiking neuronal network simulation technology for contemporary supercomputersINCF Meeting, 10-12 Sept 2012, Munich, Germany
Jordanet al 2015Jordan, J. ; Pfeil, T. ; Tetzlaff, T. ; Grübl, A. ; Schemmel, J. ; Diesmann, M. ; Meier, K. The effect of heterogeneity on decorrelation mechanisms in spiking neural networks: a neuromorphic-hardware study11th Göttingen Meeting of the German Neuroscience Society, Göttingen, Germany, 03/18/2015 - 03/21/2015
Kunkel et al 2013S. Kunkel, M. Schmidt, J. M. Eppler, H. E. Plesser, J. Igarashi, G. Masumoto, T. Fukai, S. Ishii, A. Morrison, M. Diesmann, and M. Helias.From laptops to supercomputers: a single highly scalable code base for spiking neuronal network simulations.BMC Neuroscience (2013) 14(Suppl 1):P163
doi:10.1186/1471-2202-14-S1-P163
abstract
Kunkelet al 2013bKunkel, S. ; Schmidt, M. ; Eppler, J. M. ; Igarashi, J. ; Masumoto, G. ; Fukai, T. ; Ishii, S. ; Plesser, H. E. ; Morrison, A. ; Diesmann, M. ; Helias, M.
Supercomputers ready for use as discovery machines for neuroscience
10th Meeting of the German Neuroscience Society, NWG 2013, Goettingen, Germany, 03/13/2013 - 03/18/2013
Maksimovet al 2012Maksimov, A. ; van Albada, S. J. ; Diesmann, M.
Understanding global whisker motion detection through large-scale simulation of the rodent whisker system
Okinawa Computational Neuroscience Course 2012
Okinawa, Japan, 2012-06-11"
Maximovet al 2013Maximov, A. ; van Albada, S. ; Diesmann, M.
Toward a biologically realistic spiking model of a rodent barrel column
Bernstein Conference 2013, Tuebingen, Germany, 09/25/2013 - 09/27/2013
Montagnini et al. 2012Montagnini, A., Bogadhi, A. R. and Masson, G. S. (2012) Dynamical integration of retinal and extra-retinal signals for smooth pursuit eye movements : a two stage bayesian modelPerception, ECVP Abstracts September 2012
Teeters et al. 2013Teeters, J.L., Benda, J., Davison, A.P., Eglen, S., Gerhard, S., Gerkin, R.C., Grewe, J., Harris, K., Jackson, T., Moucek, R., Pröpper, R., Sessions, H.L., Smith, L.S., Sobolev, A., Sommer, F.T., Stoewer, A. and Wachtler, T. Considerations for developing a standard for storing electrophysiology data in HDF5Neuroinformatics 2013, Stockholm, Sweden, 27 Aug - 29 Aug, (2013)
doi:10.3389/conf.fninf.2013.09.00069
abstract
Van Albadaet al 2013van Albada, S. ; Maximov, A. ; Schmidt, M. ; Bakker, R. ; Schrader, S. ; Lester, D. ; Diesmann, M.
Cortical multi-layer models for down-scaled implementation on neuromorphic hardware and full-scale implementation on supercomputers
3rd BrainScaleS plenary meeting, Marseille, France, 03/21/2013 - 03/22/2013
Zehl et al. 2013Zehl, L. ; Brochier, T. ; Riehle, A. ; Grün, S. ; Denker, M.
Spatio-temporal organization of local field potential oscillations in the monkey motor cortex
10th Göttingen Meeting of the German Neuroscience Society, NWG2013, Göttingen, Germany, 03/13/2013 - 03/16/2013

Web publication (reviewed)

Destexhe and Bedard 2013Destexhe, A. and Bedard, C.Local field potentialAlain Destexhe and Claude Bedard (2013), Scholarpedia, 8(8):10713
doi:10.4249/scholarpedia.10713
fulltext

Other

Rehn, E., Benjaminsson, S. and Lansner, A. Event-based Sensor Interface for Supercomputer scale Neural NetworksKTH technical report TRITA-CSC-CB, ISSN 1653-5707; 2012:02 abstract, fulltext
Bachmannet al. 2014Bachmann, C., Tetzlaff, T., Kunkel, S. and Morrison, A. Effect of Alzheimer's disease on the dynamical and computational characteristics of recurrent neural networksINM Retreat 2014, Juelich, Germany, 01/07/2014 - 02/07/2014
Denker et al. 2014cDenker, M., Yegenoglu, A., Davison, A. and Grün, S. Towards a Unifying Tool for the Analysis of Electrophysiological Data Sets based on NeoINM Retreat 2014, Jülich, Germany, 07/01/2014 - 07/02/2014
Denker et al. 2014dDenker, M., Zehl, L., Kilavik, B., Diesmann, M., Brochier, T., Riehle, A. and Grün, S. Characterizing Spatially Organized LFP Beta Oscillations in Motor CortexINM Retreat 2014, Jülich, Germany, 07/01/2014 - 07/02/2014
Kunkelet al. 2014bPlesser, H.E., Helias, M., Diesmann, M. and Morrison, A. The NEST 4g kernel: highly scalable simulation code from laptops to supercomputersBrainScaleS CodeJam Workshop 6, Juelich, Germany, 01/27/2014 - 01/29/2014 BibTeX
van Albada and Rowley 2014van Albada, S. and Rowley, A. BrainScaleS Demo 1.1 - Microcircuit model of early sensory cortex. Status updateBrainScaleS Demo 1, 2 and 3 workshop, Gif-sur-Yvette, France, 11/25/2014 - 11/26/2014


 
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26 August 2016