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Helias et al. 2012 | Helias, 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 neuroscience | Front. Neuroinform. (2012) 6:26 doi:10.3389/fninf.2012.00026 |
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Helias et al. 2014 | Helias, M., Tetzlaff, T. and Diesmann, M. | The Correlation Structure of Local Neuronal Networks Intrinsically Results from Recurrent Dynamics | PLoS Computational Biology (2014) 10(1): e1003428 doi:10.1371/journal.pcbi.1003428 |
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Kriener et al. 2014b | Helias, 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 regime | Frontiers in computational neuroscience (2014) 7: 1 doi:10.3389/fncom.2013.00187 |
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Kunkel et al. 2011 | Kunkel, S., Diesmann, M. and Morrison, A. | Limits to the Development of Feed-Forward Structures in Large Recurrent Neuronal Networks | Front. Comput. Neurosci. (2011) 4:160 doi:10.3389/fncom.2010.00160 |
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Muir and Kampa 2015 | Muir, D.R. and Kampa, B.M. | FocusStack and StimServer: a new open source MATLAB toolchain for visual stimulation and analysis of two-photon calcium neuronal imaging data | Front Neuroinform. (2015) 8:85. doi:10.3389/fninf.2014.00085 |
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Potjans et al. 2011b | Potjans, W., Diesmann, M. and Morrison, A. | An Imperfect Dopaminergic Error Signal Can Drive Temporal-Difference Learning | PLoS Comput Biol. (2011) 7(5): e1001133 doi:10.1371/journal.pcbi.1001133 |
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Rudolph-Lilith and Muller 2014 | Rudolph-Lilith, M. and Muller, L. E. | On a representation of the Verhulst logistic map | Discrete Mathematics (2014) 324: 19-27 doi:10.1016/j.disc.2014.01.018 |
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Tetzlaff et al. 2012 | Tetzlaff, T., Helias, M., Einevoll, G. T. and Diesmann, M. | Decorrelation of Neural-Network Activity by Inhibitory Feedback | PLoS Comput Biol (2012) 8(8): e1002596 doi:10.1371/journal.pcbi.1002596 |
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Tully et al. 2014 | Tully, P. J., Hennig, M. H. and Lansner, A. | Synaptic and Nonsynaptic Plasticity Approximating Probabilistic Inference | Front. Synaptic Neurosci. (2014) 6:8 doi:10.3389/fnsyn.2014.00008 |
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van Albada et al. 2015 | van Albada, S.J., Helias, M. and Diesmann, M. | Scalability of Asynchronous Networks Is Limited by One-to-One Mapping between Effective Connectivity and Correlations | PLoS Comput Biol (2015) 11(9): e1004490 doi:10.1371/journal.pcbi.1004490 |
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Wagatsuma et al. 2011 | Wagatsuma, N., Potjans, T.C., Diesmann, M. and Fukai, T. | Layer-dependent attentional processing by top-down signals in a visual cortical microcircuit model | Front. Comput. Neurosci. (2011) 5:31 doi:10.3389/fncom.2011.00031 |
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Lansner and Diesmann 2012 | Lansner, A. and Diesmann, M. | Virtues, Pitfalls, and Methodology of Neuronal Network Modeling and Simulations on Supercomputers | Computational Systems Neurobiology, Editors N. Le Novère, ISBN: 978-94-007-3857-7 (Print) 978-94-007-3858-4 (Online) (2012): 283-315 | abstract |
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Bakker and Diesmann 2014 | Bakker, R., Thomas, W. and Diesmann, M. | Do gold standards remain gold standards when compiling a large number of published tract-tracing studies into a connectivity database? | Neuroinformatics 2014, Leiden, Netherlands, 25 Aug - 27 Aug, 2014., INCF2014, Leiden, Netherlands, 08/25/2014 - 08/27/2014 doi:10.3389/conf.fninf.2014.18.00072 |
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Bos and Helias 2014 | Bos, H. and Helias, M. | The origin of population rate oscillations in spiking neural networks | HeraeusSeminar on The Versatile Action of Noise: From Genetic to Neural Circuits, Bremen, Germany, 06/22/2014 - 06/27/2014 | |
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Diesmann 2012c | Diesmann, M. | Decorrelation of neural-network activity by inhibitory feedback | Variance & Invariants in Brain and Behavior ; TECHNION, Haifa ; Israel ; 05/21/2012 - 05/23/2012 | |
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Grytskyy et al. 2012b | Grytskyy, D., Tetzlaff, T., Diesmann, M. and Helias, M. | Unification of covariances in different neuron network models through the mapping onto Ornstein-Uhlenbeck process | Applied Mathematics, Control and Informatics, Belgorod, Russia, 10/03/2012 - 10/05/2012 | |
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Kunkel et al. 2014d | Kunkel, S., Helias, M., Diesmann, M. and Morrison, A. | Supercomputer simulations of spiking neuronal networks | Progress on Brain-Like Computing, Stockholm, Sweden, 02/05/2014 - 02/06/2014 | |
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Tetzlaffet al 2013 | Tetzlaff, 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 |
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van Albada et al. 2014c | van Albada, S., Helias, M. and Diesmann, M. | One-to-one relationship between effective connectivity and correlations in asynchronous networks | Bernstein Conference, Göttingen, Germany, 09/03/2014 - 09/05/2014 | |
van Albada et al. 2014d | van 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 |
Bakker et al. 2014b | Bakker, R., Thomas, W. and Diesmann, M. | Do gold standards remain gold standards when compiling a large number of published tract-tracing studies into a connectivity database? | Neuroinformatics 2014, Leiden, Netherlands, 25 Aug - 27 Aug, 2014., INCF2014, Leiden, Netherlands, 08/25/2014 - 08/27/2014 doi:10.3389/conf.fninf.2014.18.00072 |
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Bakkeret al 2012 | Bakker, 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 |
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Bakkeret al 2013 | Bakker, R. ; Paul H. E. , T. ; Diesmann, M. ; Thomas, W. | Setting up a web-based neuroscience database has never been easier: The CoCoMac engine goes open source | Neuroinformatics 2013, INCF2013, Stockholm, Sweden, 08/27/2013 - 08/29/2013 |
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Bos et al. 2014 | Bos, 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 computing | HBP Workshop on Stochastic Neural Computation, Paris, France, 11/27/2014 - 11/28/2014 | |
Dahmen et al. 2013 | Dahmen, 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 approach | Bernstein Conference, 25-27 September 2013, Tübingen, Germany | |
Davison et al. 2013 | Davison, A.P., Djurfeldt, M., Eppler, J.M., Gleeson, P., Hull, M. and Muller, E.B. | An integration layer for neural simulation: PyNN in the software forest | Neuroinformatics 2013, Stockholm, Sweden, August (2013). doi:10.3389/conf.fninf.2013.09.00020 |
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Denker et al. 2011a | Denker, M., Davison, A., Grün, S. and Diesmann, M. | How collaborative projects that involve complicated electrophysiological data sets profit from workflow design | Poster at the 4th INCF Congress of Neuroinformatics, Boston, USA doi:10.3389/conf.fninf.2011.08.00080 |
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Denker et al. 2011b | Denker, M., Davison, A., Grün, S. and Diesmann, M. | Towards guiding principles in workflow design to facilitate collaborative projects involving massively parallel electrophysiological data | BMC Neuroscience 2011, 12(Suppl 1):P131 doi:10.1186/1471-2202-12-S1-P131 |
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Denkeret al 2013 | Denker, 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 |
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Eppler et al. 2011b | Eppler, J.M., Enger, H., Heiberg, T., Kriener, B., Plesser, H.E., Diesmann, M. and Djurfeldt, M. | Evaluating the Connection-Set Algebra for the neural simulator NEST | Poster at the 4th INCF Congress of Neuroinformatics, Boston, USA doi:10.3389/conf.fninf.2011.08.00085 |
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Eppler et al. 2012 | Eppler, J. M., Djurfeldt, M., Muller, E., Diesmann, M. and Davison, A. | Combining simulator independent network descriptions with run-time interoperability based on PyNN and MUSIC | In Conference Abstract: 5th INCF Congress of Neuroinformatics, Front. Neuroinform. (2012) | |
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EpplerM et al. 2012 | Eppler, J. M. ; Wiebelt, B. ; Zaytsev, Y. ; Diesmann, M. | The NEST software development infrastructure | INM Retreat 2012, Jülich, Germany, 07/03/2012 - 07/04/2012 |
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Grytskyy et al. 2012c | Grytskyy, D., Helias, M., Tetzlaff, T., Diesmann, M. | Taming the model zoo: a unified view on correlations in recurrent networks | Twenty First Annual Computational Neuroscience Meeting, Decatur, GA, USA; BMC Neuroscience 2012, 13(Suppl 1):P147. doi:10.1186/1471-2202-13-S1-P147 |
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Grytskyy et al. 2012e | Grytskyy, D., Tetzlaff, T., Diesmann, M. and Helias, M. | Invariance of covariances arises out of noise | AIP Conf. Proc. (2013) 1510: 258 doi:10.1063/1.4776531 |
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Grytskyyet al 2013b | Grytskyy, D. ; Diesmann, M. ; Helias, M. | Connectivity reconstruction from complete or partially known covariances in the asynchronous irregular regime | Bernstein Conference 2013, BCCN 2013, Tuebingen, Germany, 09/25/2013 - 09/27/2013 |
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Grytskyyet al 2013d | Grytskyy, D. ; Diesmann, M. ; Helias, M. | Reconstruction of network connectivity in the irregular firing regime | 10th Goettingen Meeting of the German Neuroscience Society, NWG 2013, Goettingen, Germany, 03/13/2013 - 03/16/2013 |
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Krieneret al 2013 | Kriener, 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 |
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