Publications of S.

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234 publication entries, 117 of them (printed in bold in the list) acknowledge the project support.
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Paper (reviewed)

Bazhenov et al. 2011Bazhenov, M., Lonjers, P., Skorheim, S., Bedard, C. and Destexhe, A.Non-homogeneous extracellular resistivity affects the current-source density profiles of up/down state oscillationsPhil. Trans. R. Soc. A (2011) 369:3802-3819
doi:10.1098/rsta.2011.0119
abstract, fulltext
Bedard et al. 2011Bédard, C., Béhuret, S., Deleuze, C., Bal, T. and Destexhe, A.Oversampling method to extract excitatory and inhibitory conductances from single-trial membrane potential recordingsJ Neurosci Meth (2012) 210 (1): 3 - 14
doi:10.1016/j.jneumeth.2011.09.010
fulltext
Behuret et al. 2013Behuret, S., Deleuze, C., Gomez, L., Fregnac, Y. and Bal, T. Cortically-Controlled Population Stochastic Facilitation as a Plausible Substrate for Guiding Sensory Transfer across the Thalamic GatewayPLoS Comput Biol (2013) 9(12): e1003401
doi:10.1371/journal.pcbi.1003401
fulltext
Benjaminsson and Lansner 2012Benjaminsson, S. and Lansner, A.Nexa: A scalable neural simulator with integrated analysisNetwork: Computation in Neural Systems (2012) 23: 254-271
doi:10.3109/0954898X.2012.737087
abstract, 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
Borgelt et al. 2012Borgelt, C., Braune, C., Kötter, T. and Grün, S. New algorithms for finding approximate frequent item setsSoft Computing (2012) 16(5): 903-917
doi:10.1007/s00500-011-0776-2
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
Deco at al. 2014bDeco, G., McIntosh, A.R., Shen, K., Hutchison, R.M., Menon, R.S., Everling, S., Hagmann, P. and Jirsa, V.K.Identification of Optimal Structural Connectivity Using Functional Connectivity and Neural ModelingThe Journal of Neuroscience (2014) 34(23): 7910-7916
doi:10.1523/JNEUROSCI.4423-13.2014
fulltext
DeFelipe et al. 2013DeFelipe, J., Lopez-Cruz, P.L., Benavides-Piccione, R., Bielza, C., Larranaga, P., Anderson, S., Burkhalter, A., Cauli, B., Fairen, A., Feldmeyer, D., Fishell, G., Fitzpatrick, D., Freund, T.F., Gonzalez-Burgos, G., Hestrin, S., Hill, S., Hof, P.R., Huang, J., Jones, E.G., Kawaguchi, Y., Kisvarday, Z., Kubota, Y., Lewis, D.A., Marin, O., Markram, H., McBain, C.J., Meyer, H.S., Monyer, H., Nelson, S.B., Rockland, K., Rossier, J., Rubenstein, J.L.R., Rudy, B., Scanziani, M., Shepherd, G.M., Sherwood, C.C., Staiger, J.F., Tamas, G., Thomson, A., Wang, Y., Yuste, R. and Ascoli, G.A.New insights into the classification and nomenclature of cortical GABAergic interneuronsNature Reviews Neuroscience (2013) 14: 202-216
doi:10.1038/nrn3444
(fulltext)
Deger et al. 2012Deger, M., Helias, M., Rotter, S. and Diesmann, M. Spike-Timing Dependence of Structural Plasticity Explains Cooperative Synapse Formation in the NeocortexPLoS Comput Biol (2012) 8(9): e1002689
doi:10.1371/journal.pcbi.1002689
Dehghani et al. 2012Dehghani, N., Hatsopoulos, N.G., Haga, Z.D., Parker, R.A., Greger, B., Halgren, E., Cash, S.S., and Destexhe, A.Avalanche analysis from multielectrode ensemble recordings in cat, monkey, and human cerebral cortex during wakefulness and sleepFrontiers in Physiology (2012) 3: 302
doi:10.3389/fphys.2012.00302
abstract, fulltext
Deneux et al. 2012bDeneux, T., Takerkart, S., Grinvald, A., Masson, G.S. and Vanzetta, I.A processing work-flow for measuring erythrocytes velocity in extended vascular networks from wide field high-resolution optical imaging data.Neuroimage (2012) 59: 2569-2588
doi:10.1016/j.neuroimage.2011.08.081
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
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
El Boustani et al. 2012El Boustani, S., Yger, P., Frégnac, Y. and Destexhe, A.Stable Learning in Stochastic Network StatesThe Journal of Neuroscience (2012) 32(1): 194-214
doi:10.1523/JNEUROSCI.2496-11.2012
fulltext
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)
Garcia et al. 2014Garcia, S., Guarino, D., Jaillet, F., Jennings, T.R., Pröpper, R., Rautenberg, P.L., Rodgers, C., Sobolev, A., Wachtler, T., Yger, P. and Davison, A.P.Neo: an object model for handling electrophysiology data in multiple formatsFront. Neuroinform. (2014) 8:10
doi:10.3389/fninf.2014.00010
abstract, fulltext
Gerstein et al. 2012Gerstein, G.L., Williams, E.R., Diesmann, M., Grün, S. and Trengove, C.Detecting synfire chains in parallel spike dataJournal of Neuroscience Methods (2012) 206(1): 54-64
doi:10.1016/j.jneumeth.2012.02.003
fulltext
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
Habenschuss et al. 2013Habenschuss, S., Puhr, H. and Maass, W. Emergence of Optimal Decoding of Population Codes Through STDPNeural Computation (2013) 25(6): 1371-1407
doi:10.1162/NECO_a_00446
abstract, fulltext
Halnes et al. 2013G. Halnes, I. Ostby, K.H. Pettersen, S.W. Omholt, and G.T. EinevollElectrodiffusive model for astrocytic and neuronal ion concentration dynamicsPLoS Computational Biology (2013) 9:e1003386
doi:10.1371/journal.pcbi.1003386
abstract, fulltext
Helias et al. 2011Helias, M., Deger, M., Rotter, S. and Diesmann, M.Finite post synaptic potentials cause a fast neuronal responseFront. Neurosci. (2011) 5:19
doi:10.3389/fnins.2011.00019
abstract, fulltext
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
Henker et al. 2012Henker, S., Partzsch, J. and Schüffny, R.Accuracy evaluation of numerical methods used in state-of-the-art simulators for spiking neural networksJournal of Computational Neuroscience (2012) 32(2): 309-326
doi:10.1007/s10827-011-0353-9
fulltext
Indiveri et al. 2011Indiveri, G., Linares-Barranco, B., Hamilton, T. J., van Schaik, A., Etienne-Cummings, R., Delbruck, T., Liu, S.-C., Dudek, P., Häfliger, P., Renaud, S., Schemmel, J., Cauwenberghs, G., Arthur, J., Hynna, K., Folowosele, F., Saïghi, S., Serrano-Gotarredona, T., Wijekoon, J., Wang, Y. and Boahen, K. Neuromorphic silicon neuron circuitsFront. Neurosci. (2011) 5:73
doi:10.3389/fnins.2011.00073
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Ito et al. 2014Ito, J., Roy, S., Liu, Y., Cao, Y., Fletcher, M., Lu, L., Boughter, J. D., Grün, S. and Heck, H. Whisker barrel cortex delta oscillations and gamma power in the awake mouse are linked to respirationNature Communications (2014) 5: 3572
doi:10.1038/ncomms4572
fulltext
Kaplan et al. 2013Kaplan, B.A., Lansner, A., Masson, G.S. and Perrinet, L.U. Anisotropic connectivity implements motion-based prediction in a spiking neural network Front. Comput. Neurosci. (2013) 7:112
doi:10.3389/fncom.2013.00112
Kerr et al.Kerr, C.C., van Albada, S., Neymotin, S.A., Chadderdon, G.L., Robinson, P.A., and Lytton, W.W.Cortical information flow in Parkinson's disease: a composite network/field modelFront Comput Neurosci. (2013) 7:39
doi:10.3389/fncom.2013.0003
fulltext
Khoei et al. 2013Khoei, M.A., Masson, G.S. and Perrinet, L.U. Motion-based prediction explains the role of tracking in motion extrapolationJournal of Physiology (2013) 107: 409-420
doi:10.1016/j.jphysparis.2013.08.001
(fulltext)
Klampfl and Maass 2013S. Klampfl and W. Maass Emergence of dynamic memory traces in cortical microcircuit models through STDPThe Journal of Neuroscience (2013) 33(28): 11515-11529
doi:10.1523/JNEUROSCI.5044-12.2013
abstract, (fulltext)
Kriener et al. 2014bHelias, M., Rotter, S., Diesmann, M. and Einevoll, G. T. How pattern formation in ring networks of excitatory and inhibitory spiking neurons depends on the input current regimeFrontiers in computational neuroscience (2014) 7: 1
doi:10.3389/fncom.2013.00187
fulltext
Kunkel et al. 2011Kunkel, S., Diesmann, M. and Morrison, A.Limits to the Development of Feed-Forward Structures in Large Recurrent Neuronal NetworksFront. Comput. Neurosci. (2011) 4:160
doi:10.3389/fncom.2010.00160
abstract, fulltext
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
Kunkel et al. 2014Kunkel, S., Schmidt, M., Eppler, J.M., Plesser, H.E., Masumoto, G., Igarashi, J., Ishii, S., Fukai, T., Morrison, A., Diesmann, M. and Helias, M. Spiking network simulation code for petascale computersFront. Neuroinform. (2014) 8:78
doi:10.3389/fninf.2014.00078
abstract, fulltext
Ledberg et al. 2012Ledberg, A., Montagnini, A., Coppola, R. and Bressler, S.L.Reduced Variability of Ongoing and Evoked Cortical Activity Leads to Improved Behavioral PerformancePLoS ONE (2012) 7: e43166
doi:10.1371/journal.pone.0043166
fulltext
Leski et al. 2013S.Leski, H. Linden, T. Tetzlaff, K.H. Pettersen, G.T. EinevollFrequency dependence of signal power and spatial reach of the local field potentialPLoS Computational Biology (2013) 9:e1003137
doi:10.1371/journal.pcbi.1003137
abstract, fulltext
Leskiet al 2013Łeski, S., Lindén, H., Tetzlaff, T., Pettersen, K. H. and Einevoll, G. T.Frequency Dependence of Signal Power and Spatial Reach of the Local Field PotentialPLoS Computational Biology (2013) 9(7): e1003137
doi:10.1371/journal.pcbi.1003137
fulltext
Lindén et al. 2011Lindén, H., Tetzlaff, T., Potjans, T.C., Pettersen, K.H., Grün, S., Diesmann, M. and Einevoll, G.T.Modeling the spatial reach of the LFPNeuron (2011) 72(5): 859-872
doi:10.1016/j.neuron.2011.11.006
fulltext
Linden et al. 2014Lindén, H., Hagen, E., Łeski, S., Norheim, E. S., Pettersen, K. H. and Einevoll, G. T.LFPy: a tool for biophysical simulation of extracellular potentials generated by detailed model neuronsFront. Neuroinform. (2014) 7:41
doi:10.3389/fninf.2013.00041
abstract, fulltext
Masson and Perrinet 2012Masson, G. S. and Perrinet, L. U.The behavioral receptive field underlying motion integration for primate tracking eye movementsNeuroscience & Biobehavioral Reviews (2012) 36(1): 1-25
doi:10.1016/j.neubiorev.2011.03.009
fulltext
Mayrhofer et al. 2013Mayrhofer, J.M., Skreb, V., von der Behrens, W., Musall, S., Weber, B. and Haiss, F.Novel two-alternative forced choice paradigm for bilateral vibrotactile whisker frequency discrimination in head-fixed mice and rats AJP - JN Physiol (2013) 109(1): 273-284
doi:10.1152/jn.00488.2012
abstract, (fulltext)
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
Musall et al. 2014Musall, S., von der Behrens, W., Mayrhofer, J.M., Weber ,B., Helmchen, F. and Haiss F.Tactile frequency discrimination is enhanced by circumventing neocortical adaptationNature Neuroscience (2014) 17(11): 1567-1573
doi:10.1038/nn.3821
abstract, (fulltext)
Navaridasa et al. 2013Navaridasa, J., Furbera, S., Garsidea, J., Jinb, X., Khanc, M., Lestera, D., Lujã¡na, M., Miguel-Alonsod, J., Painkrasa, E., Pattersona, C., Planaa, L. A., Rasta, A., Richardsa, D., Shib, Y., Templea, S., Wue, J. and Yangf, S. SpiNNaker: Fault tolerance in a power- and area- constrained large-scale neuromimetic architectureParallel Computing (2013) 39(11): 693-708
doi:10.1016/j.parco.2013.09.001
fulltext
Perrinet and Masson 2012Perrinet, L.U. and Masson, G.S.Motion-based prediction is sufficient to solve the aperture problemNeural Computation (2012) 24(10): 2726-2750
doi:10.1162/NECO_a_00332
abstract, (fulltext)
Peyrache et al. 2012Peyrache, A., Dehghani, N., Eskandar, E.N., Madsen, J.R., Anderson, W.S., Donoghue, J.S., Hochberg, L.R., Halgren, E., Cash, S.S., and Destexhe, A.Spatiotemporal dynamics of neocortical excitation and inhibition during human sleepPNAS (2012) 109 (5): 1731-1736
doi:10.1073/pnas.1109895109
abstract, fulltext
Pfeil et al. 2012Pfeil, T., Grübl, A., Jeltsch, S., Müller, E., Müller, P., Petrovici, M., Schmuker, M., Brüderle, D., Schemmel, J. and Meier, K. Six networks on a universal neuromorphic computing substrateFront. Neurosci. (2013) 7:11
(Pre-print: http://arxiv.org/abs/1210.7083)
doi:10.3389/fnins.2013.00011
abstract
Pfeil et al. 2012bPfeil, T., Potjans, T. C., Schrader, S., Potjans, W., Schemmel, J., Diesmann, M. and Meier, K. Is a 4-bit synaptic weight resolution enough? - constraints on enabling spike-timing dependent plasticity in neuromorphic hardwareFront. Neurosci. (2012) 6:90
doi:10.3389/fnins.2012.00090
abstract, fulltext
Picado-Muiño et al. 2013Picado-Muiño D, Borgelt C, Berger D, Gerstein G, Grün S.Finding neural assemblies with frequent item set miningFrontiers in neuroinformatics (2013) 7:1-15
doi:10.3389/fninf.2013.00009
abstract, fulltext
Pozzorini et al. 2013Pozzorini, C., Naud, R., Mensi, S. and Gerstner, W. Temporal whitening by power-law adaptation in neocortical neuronsNature Neuroscience (2013) 16: 942-948
doi:10.1038/nn.3431
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
Reynaud et al. 2012Reynaud, A., Masson, G. S. and Chavane, F.Dynamics of Local Input Normalization Result from Balanced Short- and Long-Range Intracortical Interactions in Area V1The Journal of Neuroscience (2012) 32(36):12558 - 12569
doi:10.1523/JNEUROSCI.1618-12.2012
fulltext
Riehle et al. 2013Riehle, A., Wirtssohn, S., Grün, S. and Brochier, T. Mapping the spatio-temporal structure of motor cortical LFP and spiking activities during reach-to-grasp movementsFront. Neural Circuits (2013) 7:48
doi:10.3389/fncir.2013.00048
fulltext
Rombouts et al. 2015Rombouts, J.O., Bohte, S.M. and Roelfsema, P.R.How Attention Can Create Synaptic Tags for the Learning of Working Memories in Sequential TasksPLoS Comput Biol (2015) 11(3): e1004060
doi:10.1371/journal.pcbi.1004060
fulltext
Rombouts et al. 2015bRombouts, J. O., Bohte, S. M., Martinez-Trujillo, J. and Roelfsema, P. R. A learning rule that explains how rewards teach attentionVisual Cognition (2015) 33:179-205
doi:10.1080/13506285.2015.1010462
abstract
Sanz Leon et al. 2012Sanz Leon, P., Vanzetta, I., Masson, G.S. and Perrinet, L.U.Motion Clouds: model-based stimulus synthesis of natural-like random textures for the study of motion perceptionAJP - JN Physiol (2012) 107 (11): 3217-3226
doi:10.1152/jn.00737.2011
abstract, (fulltext)
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)
Scholze et al. 2011Scholze, S., Eisenreich, H., Höppner, S., Ellguth, G., Henker, S., Ander, M., Hänzsche, S., Partzsch, J., Mayr, C. and Schüffny, R.A 32 GBit/s communication SoC for a waferscale neuromorphic systemIntegration, the VLSI Journal (Elsevier) (2011) 45(1): 61-75,
doi:10.1016/j.vlsi.2011.05.003
Scholze et al. 2011bScholze, S., Schiefer, S., Partzsch, J., Hartmann, S., Mayr, C., Höppner, S., Eisenreich, H., Henker, S., Vogginger, B. and Schüffny, R.VLSI implementation of a 2.8 Gevent/s packet based AER interface with routing and event sorting functionalityFrontiers in Neuromorphic Engineering (2011) 5:117
doi:10.3389/fnins.2011.00117
Schultze-Kraft et al. 2013Schultze-Kraft, M., Diesmann, M., Grün, S. and Helias, M.Noise Suppression and Surplus Synchrony by Coincidence DetectionPLoS Comput Biol. (2013) 9(4):e1002904
doi:10.1371/journal.pcbi.1002904
Simoncini et al. 2012Simoncini, C., Perrinet, L.U., Montagnini, A., Mamassian, P. and Masson G.S.More is not always better: pooling motion information differently for perception or actionNature Neuroscience (2012) 15: 1596-1603
doi:10.1038/nn.3229
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
Torre et al. 2013Torre E, Picado-Muiño D, Denker M, Borgelt C, Grün S.Statistical evaluation of synchronous spike patterns extracted by frequent item set miningFront Comput Neurosci. (2013) 7:132.
doi:10.3389/fncom.2013.00132
fulltext
van Albada et al. 2015van Albada, S.J., Helias, M. and Diesmann, M.Scalability of Asynchronous Networks Is Limited by One-to-One Mapping between Effective Connectivity and CorrelationsPLoS Comput Biol (2015) 11(9): e1004490
doi:10.1371/journal.pcbi.1004490
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
Vogginger et al. 2015Vogginger, B., Schüffny, R., Lansner, A., Cederström, L., Partzsch, J. and Höppner, S.Reducing the computational footprint for real-time BCPNN learningFront. Neurosci. (2015) 9:2
doi:10.3389/fnins.2015.00002
abstract, 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
Einevoll et al. 2013G.T. Einevoll, C. Kayser, N. Logothetis, and S. PanzeriModeling and analysis of local field potentials for studying the function of cortical circuitsNature Reviews Neuroscience (2013) 14:770-785
doi:10.1038/nrn3599
abstract, (fulltext), BibTeX
Estebanez et al. 2014Estebanez, L., Boustani, S. E. and Shulz, D. E. What the whiskers tell the tactile brainMed Sci (2014) 30: 93-98
doi:10.1051/medsci/20143001019
abstract

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
Einevoll et al. 2013bG.T. Einevoll, H. Linden, T. Tetzlaff, S. Leski, K.H. PettersenLocal field potential: biophysical origin and analysisPrinciples of Neural Coding, pp. 37-59, edited by R. Quian Quiroga and S. Panzeri, CRC Press, 2013
Einevoll et al. 2013dEinevoll, G., Lindén, H., Tetzlaff, T., Leski, S., and Pettersen, K.Local field potentials: biophysical origin and analysisin Quiroga and Panzeri (ed.) Principles of Neural Coding. Taylor & Francis CRC Press (2013): 37-59
van Albada et al. 2014van Albada, S., Helias, M. and Diesmann, M. Integrating brain structure and dynamics on supercomputers"Springer Cham Heidelberg New York Dordrecht London
ISBN: 978-3-319-12083-6 (print), 978-3-319-12084-3 (electronic)

Lecture Notes in Computer Science 8603, 22-32 (2014) [10.1007/978-3-319-12084-3_3] "

doi:10.1007/978-3-319-12084-3_3
fulltext

Conference contribution: talk

Denker et al. 2012bDenker, M., Zehl, L., Brochier, T., Grün, S., Riehle, A.
Comparing the spatio-temporal organization of joint spiking and local field potential oscillations in motor cortex
Twenty First Annual Computational Neuroscience Meeting: CNS*2012, Decatur, GA, USA; BMC Neuroscience 2012, 13(Suppl 1):P127
doi:10.1186/1471-2202-13-S1-P127
abstract
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
Denkeret al 2013bDenker, M. ; Grün, S.Relationship of spiking activity & synchrony to LFP
Workshop on 'Modeling and Analysis of LFP', Ski, Norway, 01/08/2013 - 01/09/2013
Einevoll et al. 2013cEinevoll, G. T., Leski, S. and Hagen, E. Tutorial on LFPy: T3: Modeling and interpretation of extracellular potentials CNS 2013, Paris, France abstract
Grün 2012Grün, S.Interaction of Spike-Synchrony and the Local Field PotentialInvited Talk, University College London, United Kingdom; 11/29/2012.
Grün 2012bGrün, S.Data Driven Analysis of Spatio-Temporal Cortical Interaction5th INCF Neuroinformatics Congress 2012 ; Munich ; Germany ; 09/10/2012 - 09/12/2012
Grün 2012cGrün, S.Worms and BraidsTalk at the 2nd Vision4Action Workshop; INT, CNRS-AMU, Marseille, France; 06/20/2012
Grün 2012dGrün, S.Dynamics and Interaction in the Cortical NetworkTalk at the 7th Winter School IRTG 1328; RWTH Aachen, Germany; 11/02/2012
Grün 2012eGrün, S.Calibration and Testing of Spike Correlation MethodsTalk at the 1st INCF Workshop on Validation of Data-Analysis Methods; Stockholm, Sweden; 6/19/2012
Grün 2013Grün, S.Correlation Analysis of Parallel Spike Trains I. + II.Berkeley Summer Course inMining and Modeling of Neuroscience Data (2013)
Grün 2013bGrün, S.Data-driven evaluation of functional correlations in (massively) parallel spike trainsIntern. Workshop on Brain-Inspired Computing. Cetraro, Italy. (2013)
Grün 2013cGrün, S.Dynamic Interactive Processing in the Biological Neuronal NetworkSFB 917 - Seminar. Aachen, Germany (2013)
Grün 2013dGrün, S.Effect of Spike Sorting Errors on Unitary Event Analysis2nd Vision for Action Workshop. Jülich, Germany (2013)
Grün 2013eGrün, S.Frequent Itemset Mining based Detection of Synchronous Spike Events in Massively Parallel Spike Trains2nd J-G Project Meeting. Kyoto, Japan(2013)
Grün 2013fGrün, S.Multi-Channel Spike Correlation AnalysisTutorial "Statistical Methods", INM Retreat 2013
Grün 2013gGrün, S.Spatio-Temporal Scales of Neuronal Interactions11e Colloque Societe des Neurosciences. Lyon, France (2013)
Grün 2013hGrün, S.Statistical Evaluation of Synchronous Spike Patterns extracted by Frequent Item Set MiningModeling Neural Activity: Statistics, Dynamical Systems, and Networks. Lihue, Hawaii, USA. (2013)
Grün 2013iGrün, S.Statistical Methods for the Analysis of Multi-Channel Spike and LFP DataWorkshop Tools for the Analysis of Functional Data. Paris, France (2013)
Grün 2013jGrün, S.Uncovering Spatio-Temporal Cortical Interaction: Current activities, open problemsHBP Data Analysis - Visualization Coordination Meeting. Jülich, Germany (2013)
Grün 2014aGrün, S.Statistics and Workflows for the Analysis of Concerted Neuronal Activity During Complex BehaviorSymposium 'Active Vision in Natural Environments'. Osaka Univ, Japan, Dec 12, 2014
Grün 2014eGrün, S.Towards reproducible data analysis of massively parallel neuronal data during complex behavior5th Annual Meeting of the GDR Multielectrods, Gif sur Yvette, France, 10/14/2014 - 10/15/2014
Grün 2014gGrün, S.Talk: Statistical methods for detection of assembly activity in massively parallel spike dataAREADNE 2014 - Research in Encoding And Decoding of Neural Ensembles, Nomikos Conference Centre Santorini, Greece
Grün 2015Grün, S.Towards Reproducible Analysis of Complex Electrophysiological ExperimentsCommunity Session 'Reproducilibity in the neurosciences'. Univ Goettingen, Goettingen, Germany. March 19, 2015
Grün2013Grün, S.Human Brain Project - Scientific goals, Organization, Our role
Wissenswerte, Bremen, Germany, 11/25/2013 - 11/25/2013
Grün2013bGrün, S.Spike Synchrony and Spike-LFP Locking in Monkey Primary Visual Cortex during Free Viewing of Natural Scenes
Computational Neuroscience, Paris, France, 07/17/2013 - 07/17/2013
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
Kunkelet al 2013Kunkel, S. ; Diesmann, M.Simulation technology at cellular and synaptic resolution for the largest computers
EU - US workshop on Cortical Processors, Heidelberg, Germany, 10/14/2013 - 10/15/2013
Masson 2012Masson, G. S.Optimal encoding of speed information for tracking eye movementsWorkshop on "Optimizing performance in dynamics environment" Amsterdam, NL, 2-5 July 2012
Masson 2012bMasson, G. S.Speed processing for ocular tracking and motion perception : same or different ? CESAME, Departement de Neurosciences. Université Catholique de Louvain. Louvain, Belgique, 26 October 2012
Masson 2012cMasson, G. S.Behavioral receptive fields and cortical population dynamics.Departemento de Electronca, Universidad Téchnica Federico Santa Maria, Valparaiso, Chili, 30 October 2012
Masson 2012dMasson, G. S.Behavioral receptive fields and cortical population dynamicsHertie Institute for Brain Research. Tübingen. Germany. December 6th, 2012
Nowke et al. 2013Nowke, C., Schmidt, M., van Albada, S. J., Eppler, J. M., Bakker, R., Diesmann, M., Hentschel, B. and Kuhlen, T. VisNEST - Interactive Analysis of Neural Activity DataBioVis Symposium at the IEEE BioVis 2013, 13-18 Oct. 2013, Atlanta, Georgia, USA
Rast et al. 2013Rast, A., Partzsch, J., Mayr, C., Schemmel, J., Hartmann, S., Plana, L., Temple, S., Lester, D., Schueffny, R., Furber, S.A Location-Independent Direct Link Neuromorphic InterfaceInternational Joint Conference on Neural Networks (2013)
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Schmidt et al. 2013cSchmidt, M. ; van Albada, S. ; Bakker, R. ; Diesmann, M.
A spiking multi-area network model of macaque visual cortex
Osaka, Japan, 07/02/2014 - 07/02/2014
Schmidt et al. 2014Schmidt, M., Schücker, J., van Albada, S., Bakker, R., Helias, M. and Diesmann, M. Multi-area network model of visual cortex4th BrainScaleS plenary meeting, Manchester, Grossbritannien, 19 - 21 March 2014
van Albada et al. 2014cvan Albada, S., Helias, M. and Diesmann, M.One-to-one relationship between effective connectivity and correlations in asynchronous networksBernstein Conference, Göttingen, Germany, 09/03/2014 - 09/05/2014
van Albada et al. 2014dvan Albada, S., Schmidt, M. and Diesmann, M. NEST for large-scale simulations of physiology-based spiking networks"Bernstein Network - Simulation Lab Neuroscience" HPC Workshop, Jülich, Germany, 06/04/2014 - 06/05/2014

Conference contribution: poster

Medathati, K.N.V., Rankin, J., Kornprobst, P. and Masson, G.S. A retinotopic neural fields model of perceptual switching in 2D motion integrationAnnual Bernstein Conference 24-27 september 2013, Tuebingen, Germany
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
Bachmannet al 2015Bachmann, C. ; Tetzlaff, T. ; Kunkel, S. ; Morrison, A.
Effect of Alzheimer disease on the dynamical and computational characteristics of recurrent neural networks11th Göttingen Meeting of the German Neuroscience Society, Göttingen, Germany, 03/18/2015 - 03/28/2015
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
Benjaminsson and Lansner 2011Benjaminsson, S. and Lansner, A.Extreme Scaling of Brain SimulationsJülich Blue Gene/P Extreme Scaling Workshop 2011, Technical Report FZJ-JSC-IB-2011-02 available from http://www2.fz-juelich.de/jsc/docs/autoren2011/mohr1/
Bermudez et al. 2012Bermudez, M., Courbonm D., Barthelemym F., Masson, G. S. and Vanzetta, I.Effect of temporal frequency, color and contrast in V4 of the behaving macaque: neuronal responses and behavioral correlatesAbstracts of the 42nd Meeting of the Society for Neuroscience, October 2012, New Orleans, USA (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
Borgelt et al. 2012bBorgelt, C., Picado-Muino, D., Berger, D., Gerstein, G. and Grün, S. Cell Assembly Detection With Frequent Itemset MiningCNS 2012 ; Decatur ; USA ; 07/21/2012 - 07/26/2012
doi:10.1186/1471-2202-13-S1-P126
abstract
Bos et al. 2014Bos, H., Schmidt, M., Jordan, J., Schücker, J., van Albada, S., Bakker, R., Diesmann, M., Helias, M. and Tetzlaff, T.Cortical multi-layered, multi-area networks as a substrate for stochastic computingHBP Workshop on Stochastic Neural Computation, Paris, France, 11/27/2014 - 11/28/2014
Canova et al. 2015Canova, C;, Torre, E, Denker, M, Helias, M, Gerstein, G and Grün, S.Statistical assessment and neuronal composition of active synfire chainsPoster presentation at German Neuroscience Society Meeting (NWG 2015). Göttingen, Germany. Mar. 21, 2015
Chavane et al. 2012aChavane, F., Reynaud, A., Montardy, Q. and Masson G. S. Cortical origin of contextual modulations in motion integration: linking V1 population response to the behavioral ocular following response Journal of Vision August (2012) 12(9): 758
doi:10.1167/12.9.758
abstract
Dahmen et al. 2013Dahmen, D., Hagen, E., Stavrinou, M. L., Linden, H., Tetzlaff, T., van Albada, S., Diesmann, M., Grün, S. and Einevoll, G. T. From spiking point-neuron networks to LFPs: a hybrid approachBernstein Conference, 25-27 September 2013, Tübingen, Germany
Dahmen et al. 2014Dahmen, D., Hagen, E., Stavrinou, M.L., Lindén, H., Tetzlaff, T., van Albada, S., Diesmann, M., Grün, S. and Einevoll, G.T. Computing local-field potentials based on a point-neuron network model of cat V1SFN Neuroscience 2014, Washington, D.C., United States of America, 11/15/2014 - 11/19/2014
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
Deneux et al. 2012Deneux, T., Sanz-Leon, P., Masquelier, T., Masson, G. S., Deco, G. and Vanzetta, I. (2012) The spatiotemporal structure of ongoing and evoked activity investigated using optical imaging of voltage sensitive dyes in awake monkey V4AREADNE Meeting, Juin 2012, Santorini, Greece (2012)
Denker et al. 2011aDenker, M., Davison, A., Grün, S. and Diesmann, M. How collaborative projects that involve complicated electrophysiological data sets profit from workflow designPoster at the 4th INCF Congress of Neuroinformatics, Boston, USA
doi:10.3389/conf.fninf.2011.08.00080
fulltext
Denker et al. 2011bDenker, M., Davison, A., Grün, S. and Diesmann, M. Towards guiding principles in workflow design to facilitate collaborative projects involving massively parallel electrophysiological dataBMC Neuroscience 2011, 12(Suppl 1):P131
doi:10.1186/1471-2202-12-S1-P131
fulltext
Denker et al. 2011dDenker, M., Wirtssohn, S., Brochier, T., Grün, S. and Riehle, A.Mapping the synchronization structure of LFP activity in motor cortexPoster at the Ninth Göttingen Meeting of the German Neuroscience Society 2011: T21-9B abstract
Denker et al. 2011eDenker, M., Brochier, T., Grün, S. and Riehle, A.Spatial synchronization structure of field potentials and spikes in a delayed grip taskFront. Comput. Neurosci. (2011) Conference Abstract: BC11 : Computational Neuroscience & Neurotechnology Bernstein Conference & Neurex Annual Meeting 2011
doi:10.3389/conf.fncom.2011.53.00103
abstract
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
Einevoll et al. 2014Einevoll, G.T., Łeski, S. and Hagen, E.Tutorial: Modeling and interpretation of extracellular potentials (T4)CNS 2014, Québec City (Canada), http://www.cnsorg.org/cns-2014-tutorials#T4 abstract
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
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Gorchetchnikov et al. 2011Gorchetchnikov, A., Cannon, R., Clewley, R., Cornelis, H., Davison, A., De Schutter, E., Djurfeldt, M., Gleeson, P., Hill, S., Hines, M., Kriener, B., Le Franc, Y., Lo, C.-C., Morrison, A., Muller, E., Plesser, H.E., Raikov, I., Ray, S., Schwabe, L. and Szatmary, B.NineML: declarative, mathematically-explicit descriptions of spiking neuronal networksFront. Neuroinform. Conference Abstract: 4th INCF Congress of Neuroinformatics
doi:10.3389/conf.fninf.2011.08.00098
abstract
Grün 2012aGrün, S. Data Driven Analysis of Spatio-Temporal Cortical InteractionGDR 2904 Multi-Electrodes - 3rd Annual Meeting Marseille ; Marseille ; France ; 10/25/2012 - 10/26/2012
Grün et al. 2012Grün, S., Picado-Muino, D., Berger, D., Gerstein, G., Borgelt, C.
Detection of Neuronal Assemblies by Frequent Item Set Mining
Neuroinformatics 2012, Munich, Germany
abstract
Habenschuss et al. 2012Habenschuss, S., Bill, J. and Nessler, B. Homeostatic plasticity in Bayesian spiking networks as Expectation Maximization with posterior constraintsin Advances in Neural Information Processing Systems 25 (2012): 782-790 abstract, fulltext
Hageet al 2013Hagen, E. ; Stavrinou, M. ; Lindén, H. ; Dahmen, D. ; Tetzlaff, T. ; van Albada, S. ; Grün, S. ; Diesmann, M. ; Einevoll, G. T.
Hybrid scheme for modeling LFPs from spiking cortical network models
Proceedings of NeuroInformatics 2013
NeuroInformatics 2013, Stockholm, Sweden, 08/27/2013 - 08/29/2013
Hagen et al. 2015Hagen, E., Dahmen, D., Stavrinou, M.L., Linden, H., Tetzlaff, T., van Albada, S., Diesmann, M., Grün, S. and Einevoll, G.T. Hybrid scheme for modeling local field potentials from point-neuron networks11th Göttingen Meeting of the German Neuroscience Society, Göttingen, Germany, 03/18/2015 - 03/21/2015
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
Itoet al 2013Ito, J. ; Mukai, M. ; Tamura, H. ; Grün, S.
Effects of Complex Background on the Object Selective Response of Current Source in the Inferior Temporal Cortex of Macaque Monkeys
Bernstein Conference 2013, Tübingen, Germany, 09/25/2013 - 09/27/2013
Itoet al 2013bIto, J. ; Mukai, M. ; Yamane, Y. ; Tamura, H. ; Grün, S.
Effects of complex background scene on object selectivity of current source density activities in the macaque inferior temporal cortex
36th European Conference on Visual Perception, ECVP2013, Bremen, Germany, 08/25/2013 - 08/29/2013
Krieneret al 2013Kriener, B. ; Helias, M. ; Rotter, S. ; Diesmann, M. ; Einevoll, G. T.
How pattern formation in ring networks of excitatory and inhibitory spiking neurons depends on the input current regime
Computational Neuroscience Conference, CNS*2013, Paris, France, 07/13/2013 - 07/18/2013
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
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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
Lindén et al. 2011bLindén, H., Tetzlaff, T., Potjans, T.C., Pettersen, K.H., Grün, S., Diesmann, M. and Einevoll, G.T.How local is the local field potential?BMC Neuroscience 2011, 12(Suppl 1):O8
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fulltext
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
Meso et al. 2013Meso, A., Rankin, J., Kornprobst, P. and Masson, G.S.Multi-stability in motion perception combines multiple underlying neural mechanismsCoSyne meeting. 1-4 March 2013, Salt-Lake City, USA.
Millner et al. 2012Millner, S., Hartel, A., Schemmel, J. and Meier, K.Towards biologically realistic multi-compartment neuron model emulation in analog VLSIESANN 2012 proceedings, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Bruges (Belgium), 25-27 April 2012 fulltext
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
Mukaiet al 2013Mukai, M. ; Yamane, Y. ; Ito, J. ; Grün, S. ; Tamura, H.
Effects of complex background scene on object selectivity ofsingle-unit activities in the macaque inferior temporal cortex
36th European Conference on Visual Perception, ECVP2013, Bremen, Germany, 08/25/2013 - 08/29/2013
Nowke et al. 2012bNowke, C., Hentschel, B., Kuhlen, T., Eppler, J.M., van Albada, S., Bakker, R., Diesmann, M., Schmidt, M.VisNEST - Interactive analysis of neural activity dataIEEE VisWeek 2012 abstract
Nowke et al. 2013bNowke, C., Schmidt, M., van Albada, S., Eppler, J., Bakker, R., Diesmann, M., Hentschel, B. and Kuhlen, T. Interactive visualization of brain-scale spiking activityAnnual CNS Meeting 2013, BMC Neuroscience 2013, 14(Suppl 1):P110
Nowkeet al 2013Nowke, C. ; Hentschel, B. ; Kuhlen, T. ; Schmidt, M. ; van Albada, S. ; Eppler, J. M. ; Bakker, R. ; Diesmann, M.
Interactive visualization of brain-scale spiking activity
Twenty Second Annual Computational Neuroscience Meeting, CNS 2013, Paris, France, 07/13/2013 - 07/18/2013
Partzsch et al. 2012Partzsch, J. and Mayr, C. and Schiefer, S. and Hartmann, S. and Scholze, S. and Schüffny, R.Highly Integrated Packet-Based Communication in a Neuromorphic Wafer SystemUniversity Booth at DATE (Design, Automation and Test in Europe) 2012
Partzsch et al. 2013Partzsch, J., Mayr, C., Vogginger, B., Schueffny, R., Rast, A., Plana, L., Furber, S.Live Demonstration: Ethernet Communication Linking Two Large-Scale Neuromorphic SystemsEuropean Conference on Circuit Theory and Design (2013)
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Peyrache et al. 2011bPeyrache, A., Dehghani, N., Eskandar, E., Madsen, J., Anderson, W., Donoghue, J., Halgren, E., Cash, S.S. and Destexhe, A.Spatio-temporal dynamics of neocortical excitation and inhibition during human sleep.Soc Neurosci Abstracts 36: 451.06
Plesser et al. 2011Plesser, H.E., Crook, S. and Davison, A.P.Reproducible models and reliable simulations: Current trends in computational neuroscienceSIAM Computational Science and Engineering 2011, Reno, Nevada, February 2011
Potjans et al. 2011Potjans, T.C., Kunkel, S., Morrison, A., Plesser, H.E. and Diesmann, M.Beyond local cortical network modeling: linking microscopic and macroscopic connectivity in brainscale simulationsPoster at the Ninth Göttingen Meeting of the German Neuroscience Society 2011: T26-6A abstract
Raikov et al. 2011Raikov, I., Cannon, R., Clewley, R., Cornelis, H., Davison, A., De Schutter, E., Djurfeldt, M., Gleeson, P., Gorchetchnikov, A., Plesser, H.E., Hill, S., Hines, M., Kriener, B., Le Franc, Y., Lo, C.-C., Morrison, A., Muller, E., Ray, S., Schwabe, L. and Szatmary, B. NineML: the network interchange for neuroscience modeling languageBMC Neuroscience 2011, 12(Suppl 1):P330
doi:10.1186/1471-2202-12-S1-P330
abstract
Rast et al. 2013aRast, A., Partzsch, J., Mayr, C., Schemmel, J., Hartmann, S., Plana, L., Temple, S., Lester, D., Schüffny, R. and Furber, S. A location-independent direct link neuromorphic interfaceNeural Networks, International Joint Conference on, 2013, Dallas, TX, USA
schiefer11Schiefer, S., Hartmann, S., Scholze, S., Partzsch, J., Mayr, C., Henker, S. and Schüffny, R.Live Demonstration: Packet-Based AER with 3 GEvent/s Cumulative ThroughputIEEE International Symposium on Circuits and Systems ISCAS 2011, p. 1988
Schmidt et al. 2013Schmidt, M., van Albada, S., Bakker, R. and Diesmann, M. Toward a spiking multi-area network model of macaque visual cortexProceedings of the 10th Meeting of the German Neuroscience Society, Neuroforum 2013 : T24-10D (2013)
Schmidt et al. 2013bSchmidt, M., van Albada, S., Bakker, R. and Diesmann, M. Integrating multi-scale data for a network model of macaque visual cortexAnnual CNS Meeting 2013, BMC Neuroscience 2013, 14(Suppl 1):P111 (2013)
Schmidt et al. 2014cSchmidt, M., van Albada, S., Bakker, R. and Diesmann, M. A spiking multi-area network model of macaque visual cortexAnnual meeting of the SfN, SfN2014, Washington, DC, USA, 11/15/2014 - 11/19/2014
Schmidt et al. 2014dSchmidt, M., van Albada, S., Bakker, R. and Diesmann, M. Connectomics of a multi-area network model of macaque visual cortexMicro-, meso- and macro-connectomics of the brain, Paris, Frankreich, 05/05/2014 - 05/05/2014
Schmidtet al 2013bSchmidt, M. ; van Albada, S. ; Bakker, R. ; Diesmann, M.
Toward a spiking Multi-area network model of macaque visual cortex
10th Meeting of the German Neuroscience Society, NWG 2013, Goettingen, Germany, 03/13/2013 - 03/16/2013
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doi:10.1038/npre.2011.6547.1
Schultze-Kraft et al. 2011Schultze-Kraft, M., Diesmann, M., Grün, S. and Helias, M.Correlation transmission of spiking neurons is boosted by synchronous inputBMC Neuroscience 2011, 12(Suppl 1):P144
doi:10.1186/1471-2202-12-S1-P144
fulltext
Stavrinou et al. 2015Stavrinou, M.L., Hagen, E., Dahmen, D., Linden, H., Tetzlaff, T., van Albada, S., Diesmann, M., Grün, S. and Einevoll, G.T. Computing local field potentials based on spiking cortical networksNeuro Informatics 2014, Leiden, Netherlands, 08/25/2014 - 08/27/2014
Strokovet al 2013Strokov, S. ; Ito, J. ; Tamura, H. ; Grün, S.
Spatio-temporal modulations of object selectivity in the inferior temporal cortex
Bernstein Conference 2013, Tübingen, Germany, 09/25/2013 - 09/27/2013
Suzukiet al 2013Suzuki, M. ; Yamane, Y. ; Ito, J. ; Strokov, S. ; Fujita, I. ; Maldonado, P. ; Grün, S. ; Tamura, H.
Factors affecting human gaze behavior: an analysis with complex natural scenes with superimposed object images
36th European Conference on Visual Perception, ECVP2013, Bremen, Germany, 08/25/2013 - 08/29/2013
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
Tetzlaff et al. 2014bTetzlaff, T., Dahmen, D., Hagen, E., Stavrinou, M.L., Lindén, H., van Albada, S., Diesmann, M., Grün, S. and Einevoll, G.T. Computing local-field potentials based on a point-neuron network model of cat V1NeuroVisionen 10 meeting, Jülich, Germany, 09/26/2014 - 09/26/2014
Tetzlaff et al. 2015Tetzlaff, T., Hagen, E., Dahmen, D., Stavrinou, M.L., Linden, H., van Albada, S., Grün, S., Diesmann, M. and Einevoll, G.T.
Hybrid scheme for modeling local field potentials from point-neuron networks2nd International Symposium of the Clinical Research Group 219, Cologne, Germany, 02/26/2015 - 02/28/2015
Thanasoulis 2012aThanasoulis, V., Partzsch, J., Hartmann, S., Mayr, C. and Schüffny, R. Dedicated FPGA Communication Architecture and Design for a Large-Scale Neuromorphic System9th IEEE International Conference on Electronics, Circuits, and Systems 2012
Thanasoulis 2012bThanasoulis, V., Partzsch, J., Hartmann, S., Mayr, C. and Schüffny, R. Long-Term Pulse Stimulation and Recording in an Accelerated Neuromorphic System9th IEEE International Conference on Electronics, Circuits, and Systems 2012
thanasoulis11Thanasoulis, V. and Hartmann, S. and Ehrlich, M. and Partzsch, J. and Mayr, C. and Schüffny, R.Long-Term Pulse Stimulation and Recording in an Accelerated Neuromorphic SystemDresdner Arbeitstagung Schaltungs und Systementwurf (DASS 2011), p. 72-77
van Albada et al. 2013van Albada, S.J., Schrader, S., Helias, M. and Diesmann, M.Influence of different types of downscaling on a cortical microcircuit modelBMC Neuroscience 2013, 14(Suppl 1):P112
doi:10.1186/1471-2202-14-S1-P112
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
Wirtssohn et al. 2011Wirtssohn, S., Brochier, T., Denker, M., Grün, S. and Riehle, A.Mapping the spatial structure of LFP activity in motor cortexPoster at the Ninth Göttingen Meeting of the German Neuroscience Society 2011: T21-8B abstract
Zehl et al. 2012Zehl, L., Brochier, T., Riehle, A., Grün, S., Denker, M.
Spatial organization of beta-band local field potential oscillations during delayed reach to grasp movements
3rd Workshop of the GDR 2904 'Multielectrode systems', Marseille, France (2012)
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
Zehl et al. 2014bZehl, L., Denker, M., Stoewer, A., Jaillet, F., Brochier, T., Riehle, A., Wachtler, T. and Grün, S. Metadata management for complex neurophysiological experimentsAREADNE 2014, Santorini, Greece, 06/25/2014 - 06/29/2014
Zehl et al. 2014cZehl, L., Denker, M., Adrian, S., Florent, J., Thomas, B., Alexa, R., Thomas, W. and Grün, S. Handling complex metadata of neurophysiological experimentsINCF Neuroinformatics 2014, Leiden, Netherlands, 08/25/2014 - 08/27/2014
doi:10.3389/conf.fninf.2014.18.00029
abstract
Zehl et al. 2015Zehl, L., Denker, M., Stoewer, A., Jaillet, F., Brochier, T., Riehle, A., Wachtler, T. and Grün, S.How to efficiently organize and exploit metadata metadata of complex electrophysiological experimentsProceedings of the 11th Meeting of the German Neuroscience Society, Neuroforum (2015) T27-1C

PhD Thesis

Jeltsch 2014Jeltsch, S.A Scalable Workflow for a Configurable Neuromorphic PlatformPhD thesis (2014) at the University of Heidelberg fulltext

Master/Diploma Thesis

Grabuschnig 2014S. GrabuschnigThe role of inhibitory networks in the self-organization of cortical microcircuits.Master Thesis 2014 Graz University of Technology abstract, fulltext

Bachelor Thesis

Billaudelle 2014Billaudelle, S.Characterisation and Calibration of Short Term Plasticity on a Neuromorphic Hardware ChipBachelor thesis at University of Heidelberg (2014) abstract, fulltext
Hüll 2014Hüll, S.Testen eines Floating-Gate Analogspeichers in 65nm Single-Poly TechnologieBachelor thesis at University of Heidelberg (2014) abstract, fulltext

Web publication

Benjaminsson et al. 2011Benjaminsson, S., Silverstein, D., Herman, P., Melis, P., Slavnic, V., Spasojevic, M., Alexiev, K. and Lansner, A.Visualization of output from Large-Scale Brain SimulationsPartnership for Advanced Computing in Europe (PRACE), Project ID: PRPC06 fulltext
Nowke et al. 2013cNowke, C., Schmidt, M., van Albada, S., Eppler, J., Bakker, R., Diesmann, M., Hentschel, B. and Kuhlen, T. VisNEST - Interactive analysis of neural activity dataVideo posted on vimeo: http://vimeo.com/82512745 fulltext
van Albada et al. 2014bVan Albada, S., Diesmann, M., Eppler, J.M., Hentschel, B., Kuhlen, T.. Nowke, C., Reske, M. and Schmidt, M.Modellierung und 3D-Visualisierung neuronaler Netzwerke in der Grössenordnung des GehirnsRWTH Themen (2014) 2: 52-57 fulltext
van Albada et al. 2014evan Albada, S.J., Helias, M. and Diesmann, M.Scalability of asynchronous networks is limited by one-to-one mapping between effective connectivity and correlationsarXiv:1411.4770 abstract, 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
Canova et al. 2014Canova, C., Torre, E., Denker, M., Gerstein, G. and Grün, S. Statistical Assessment and Neuronal Composition of Active Synfire ChainsINM Retreat 2014, Jülich, Germany, 07/01/2014 - 07/02/2014
Chorley et al. 2014Chorley, P., Diesmann, M., Helias, M. and Grün, S. Correlated rate vector dynamics in motor cortexINM Retreat, Jülich, Germany, 07/01/2014 - 07/02/2014
Dahmen et al. 2014bDahmen, D., Hagen, E., Stavrinou, M.L., Lindén, H., Tetzlaff, T., van Albada, S., Diesmann, M., Grün, S., Einevoll, G.T.
From spiking point-neuron networks to LFPs: a hybrid approachBrainScaleS 4th plenary meeting, Manchester, United Kingdom, 03/19/2014 - 03/21/2014
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
Grün 2014Grün, S.Obtaining and analyzing massively parallel spike data in relation to behavior4th BrainScaleS plenary meeting, Manchester, Grossbritannien,
Grün 2014bGrün, S.Talk: Spike Synchrony: From Cross-Correlations to Higher Order Analysis MethodsSPP 1665 Analytical Workshop: Analysis and Management of Electrophysiological Activity Data, Juelich, 24.-27.11.2014
Grün 2014cGrün, S.Accessing the spatio-temporal organization of cortical activity during complex behaviorDepartment of Psychology and Neuroscience, Maastricht Univ, NL (2014)
Grün 2014dGrün, S.Statistical methods for detection of assembly activity in massively parallel spike dataWorkshop at the Carnegie Mellon University,Pittsburgh, USA, 07/24/2014 -
Grün 2014fGrün, S.Talk: Detection of assembly activity in massively parallel spike data: Workflow and statisticsBCCN Heidelberg-Mannheim, Heidelberg, Germany (2014)
Grün 2014hGrün, S.Spatio-temporal organization of cortical processing during complex behaviorCenter for Information and Neural Networks, Osaka University, Japan (2014)
Grün 2014iGrün, S.Accessing the spatio-temporal organization of cortical activity during complex behaviorRIKEN BSI, Wako-Shi, Japan (2014)
Grün 2014jGrün, S.Talk: Accessing the spatio-temporal organization of cortical activity during complex behaviorHertie Institute for Clinical Brain Research, Tübingen, Germany (2014)
Gruen and Diesmann 2012Gruen, S. and Diesmann, M.Hirnforschung braucht ein Netzwerk: Computational and Systems Neuroscience am Forschungszentrum Juelichsystembiologie.de (2012) 4: 36-39 fulltext
Kunkel et al. 2012Kunkel, S., Helias, M., Potjans, T. C., Eppler, J. M., Plesser, H.E., Diesmann, M. and Morrison, A.Memory Consumption of Neuronal Network Simulators at the Brain Scalein Binder K, Münster G, Kremer M (Eds) NIC Symposium 2012 Proceedings NIC Series Vol. 45, page 81, Jülich, Germany, ISBN 978-3-89336-758-0 fulltext
Maximov et al. 2014Maximov, A., van Albada, S. and Diesmann, M. Calibration of a simulated cortical microcircuit using slice data.INM Retreat 2014, Juelich, germany, 07/01/2014 - 07/02/2014
Schücker et al. 2014Schücker, J., Schmidt, M., van Albada, S., Diesmann, M. and Helias, M. Stability analysis of a multi-area network model of macaque visual cortexINM Retreat 2013, Juelich, Germany, 07/01/2014 - 07/02/2014
Schmidt et al. 2014bSchmidt, M., Schücker, J., van Albada, S., Bakker, R., Helias, M. and Diesmann, M. Multi-area network model of visual cortex4th BrainScales plenary meeting, Manchester, Grossbritannien, 03/19/2014 - 03/21/2014
Tetzlaff et al. 2014cTetzlaff, T., Dahmen, D., Hagen, E., Stavrinou, M. L., Lindén, H., van Albada, S., Diesmann, M., Grün, S. and Einevoll, G.T.M.Poster: Computing local-field potentials based on a point-neuron network model of cat V1INM retreat, Jülich, Germany, 07/01/2014 - 07/02/2014
van Albada 2014van Albada, S. Microcircuit model of early sensory cortex - Porting to the Hybrid Multiscale Facility (HMF)4th BrainScaleS Plenary Meeting, Manchester, UK, 03/20/2014 - 03/21/2014
van Albada 2014bVan Albada, S.Multi-Area Model of Macaque Visual Cortex & Scaling Asynchronous Networks with Attention to CovariancesThe University of Sydney, Australia, 09/23/2014
van Albada and Diesmann 2014van Albada, S. and Diesmann, M. NEST HPC status - technology and theoryBrainScaleS Demo 1, 2 and 3 workshop, Gif-sur-Yvette, France, 11/25/2014 - 11/26/2014
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
van Albada et al. 2014lvan Albada, S., Schmidt, M., Bakker, R. and Diesmann, M. Spiking multi-area model of macaque visual cortexINM Retreat 2014, Jülich, Germany, 07/01/2014 - 07/02/2014
Zehl et al. 2014Denker, M., Stoewer, A., Jaillet, F., Brochier, T., Riehle, A., Wachtler, T. and Grün, S. Organizing Metadata of Complex Neurophysiological ExperimentsINM Retreat 2014, Juelich, Germany, 07/01/2014 - 07/02/2014


 
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26 August 2016