Publications of J.

Select a view.
61 publication entries, 47 of them (printed in bold in the list) acknowledge the project support.
Jump to:
Conference contribution: talk
Conference contribution: poster

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
abstract, fulltext
Antolik and Davison 2013Antolik, J. and Davison, A.P.Integrated workflows for spiking neuronal network simulationsFront. Neuroinform. (2013) 7:34
Berthet et al. 2012Berthet, P., Hellgren-Kotaleski, J. and Lansner, A.Action selection performance of a reconfigurable Basal Ganglia model with a Hebbian-Bayesian Go-NoGo connectivityFront. Behav. Neurosci. (2012) 6:65
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
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
abstract, fulltext
Budd and Kisvarday 2013Budd, J. and Kisvarday, Z. How do you wire a brain?Front. Neuroanat. (2013) 7:14
Faugeras and Inglis 2015Faugeras, O. and Inglis, J. Stochastic neural field equations: a rigorous footingJournal of Mathematical Biology (2015) 71(2): 259-300
Faugeras and Maclaurin 2014aFaugeras, O. and Maclaurin, J. Asymptotic description of stochastic neural networks. I. Existence of a large deviation principleComptes Rendus Mathematique (2014) 352(10): 841-846
Faye et al. 2013Faye, G., Rankin, J. and Lloyd, D. J. B.Localized radial bumps of a neural field equation on the Euclidean plane and the Poincaré diskNonlinearity (2013) : 26
abstract, BibTeX
Gerhard et al 2013Felipe Gerhard, Tilman Kispersky, Gabrielle J. Gutierrez, Eve Marder, Mark Kramer,
Uri Eden
Successful Reconstruction of a Physiological Circuit with Known Connectivity from Spiking Activity AlonePlos Computational Biology (2013) 9(7): 003138
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
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
Hermann Touboul 2012Hermann, G. and Touboul, J. Heterogeneous Connections Induce Oscillations in Large-Scale NetworksPhys. Rev. Lett. (2012) 109: 018702
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
Levy et al. 2013Levy, M., Fournier, J. and Frégnac, Y.The role of delayed suppression during fast and slow contrast adaptation in V1 Simple cellsThe Journal of Neuroscience (2013) 33(15): 6388-6400
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
Partzsch 2011Partzsch, J. and Schüffny, R.Analysing the Scaling of Connectivity in Neuromorphic Hardware and in Models of Neural NetworksIEEE Transactions on Neural Networks (2011) 22(6):919-935
Partzsch and Schüffny 2012Partzsch, J. and Schüffny, R.Developing structural constraints on connectivity for biologically embedded neural networksBiological Cybernetics (2012) 106(3): 191-200
abstract, fulltext
Petrovici et al. 2014Petrovici, M. A., Vogginger, B., Müller, P., Breitwieser, O., Lundqvist, M., Muller, L., Ehrlich, M., Destexhe, A., Lansner, A., Schüffny, R., Schemmel, J. and Meier, K. Characterization and Compensation of Network-Level Anomalies in Mixed-Signal Neuromorphic Modeling PlatformsPLoS ONE (2014) 9(10): e108590
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
Pinotsis et al. 2013Pinotsis, D.A., Hansen, E., Friston, K.J. and Jirsa, V.K.Anatomical connectivity and the resting state activity of large cortical networksNeuroimage (2013) 65:127-38
abstract, (fulltext)
Probst et al. 2015Probst, D., Petrovici, M. A., Bytschok, I., Bill, J., Pecevski, D., Schemmel, J. and Meier, K. Probabilistic inference in discrete spaces can be implemented into networks of LIF neuronsFront. Comput. Neurosci. (2015) 9:13
Rezende and Gerstner 2014Rezende, D.J. and Gerstner, W.Stochastic variational learning in recurrent spiking networksFront. Comput. Neurosci. (2014) 8:38
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
Vasquez et al. 2012Vasquez, J.-C., Palacios, A., Marre, O., Berry II, M. J. and Cessac, B.Gibbs distribution analysis of temporal correlations structure in retina ganglion cellsJ. Physiol. Paris (2012) 106(4):120-127
(fulltext), BibTeX
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
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
abstract, fulltext
Yousaf et al. 2013M. Yousaf, B. Kriener, J. Wyller, G.T. EinevollGeneration and annihilation of localized persistent-activity states in a two-population neural-field modelNeural Networks (2013) 46}:75-90
Yousaf et al. 2013bM. Yousaf, J. Wyller, T. Tetzlaff, G.T. EinevollEffect of localized input on bump solutions in a two-population neural-field modelNonlinear Analysis Series B: Real World Applications (2013) 14:997-1025
Zenke et al. 2015Zenke, F., Agnes, E.J. and Gerstner, W.Diverse synaptic plasticity mechanisms orchestrated to form and retrieve memories in spiking neural networksNature Communications (2015) 6: 6922


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
abstract, fulltext

Conference contribution: talk

Meyes and Ito 2014Meyes, R. and Ito, J. Effects of Complex Background Sceneson Object Selectivity of Single UnitActivities in the Macaque IT cortex5th Active Vsion Workshop, Juelich, Germany, 06/11/2014 - 06/13/2014
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
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
Tetzlaffet al 2013Tetzlaff, T. ; Helias, M. ; Jordan, J. ; Petrovici, M. ; Breitwieser, O. ; Diesmann, M.
Decorrelation of neural-network activity by inhibitory feedback: Mechanism and applications
22nd Annual Computational Neuroscience Meeting (CNS*2013), workshop on "Functional role of correlations: theory and experiment", CNS13, Paris, France, 07/13/2013 - 07/18/2013
Thanasoulis et al. 2014aThanasoulis, V., Vogginger, B., Partzsch, J. and Schüffny, R.A Pulse Communication Flow Ready for Accelerated Neuromorphic ExperimentsISCAS (2014): 265-268

Conference contribution: poster

Antolik and Davison 2013bAntolik, J. and Davison, A.P.Mozaik: a framework for model construction, simulation, data analysis and visualization for large-scale spiking neural circuit modelsNeuroinformatics 2013, Stockholm, Sweden, August (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
Eppler et al. 2012Eppler, J. M., Djurfeldt, M., Muller, E., Diesmann, M. and Davison, A.Combining simulator independent network descriptions with run-time interoperability based on PyNN and MUSICIn Conference Abstract: 5th INCF Congress of Neuroinformatics, Front. Neuroinform. (2012)
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
EpplerM et al. 2012Eppler, J. M. ; Wiebelt, B. ; Zaytsev, Y. ; Diesmann, M.
The NEST software development infrastructure
INM Retreat 2012, Jülich, Germany, 07/03/2012 - 07/04/2012
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
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
Jordanet al 2013Jordan, J. ; Tetzlaff, T. ; Breitwieser, O. ; Petrovici, M. ; Schemmel, J. ; Diesmann, M. ; Meier, K.
Generation of uncorrelated noise by recurrent neural networks
3rd BrainScaleS Plenary meeting, Marseille, France, 03/21/2013 - 03/22/2013
Jordanet al 2013bJordan, J. ; Tetzlaff, T. ; Breitwieser, O. ; Petrovici, M. ; Schemmel, J. ; Diesmann, M. ; Meier, K.
Generation of uncorrelated noise by recurrent neural networks
10th Goettingen Meeting of the German Neuroscience Society, Goettingen, Germany, 03/13/2013 - 03/16/2013
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
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"
Meyes and Ito 2014bMeyes, R. and Ito, J. Effects of Complex Background Sceneson Object Selectivity of Single Unit Activities in the Macaque IT cortex5th Active Vsion Workshop, Juelich, Germany, 06/11/2014 - 06/13/2014
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
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
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
Pfeil el al. 2013Pfeil, T., Scherzer, A.-C., Schemmel, J. and Meier, K.Neuromorphic learning towards nano second precisionNeural Networks (IJCNN), The 2013 International Joint Conference on (2013): 1-5
abstract, fulltext
Plesser et al 2013H. E. Plesser, J. M. Eppler, and M.-O. Gewaltig.20 years of NEST: A mature brain simulator. Frontiers in Neuroinformatics. Conference Abstract: Neuroinformatics 2013, page 227, Stockholm, 2013 abstract
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
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


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


26 August 2016