Publications of M.

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127 publication entries, 78 of them (printed in bold in the list) acknowledge the project support.
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Paper (reviewed)

Baudot et al. 2013	Baudot, P., Levy, M., Marre, O., Monier, C., Pananceau, M. and Fregnac, Y.	Animation of natural scene by virtual eye-movements evokes high precision and low noise in V1 neurons	Front. Neural Circuits (2013) 7:206 doi:10.3389/fncir.2013.00206	fulltext
Brüderle et al. 2011	Brüderle, 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 systems	Biological Cybernetics (2011) 104(4-5): 263-296 doi:10.1007/s00422-011-0435-9	abstract, fulltext
Deco et al. 2012	Deco, G., Senden, M. and Jirsa, V.K.	How anatomy shapes dynamics: a semi-analytical study of the brain at rest by a simple spin model	Front. Comput. Neurosci. (2012) : doi:10.3389/fncom.2012.00068	abstract, fulltext
Deger et al. 2012	Deger, M., Helias, M., Rotter, S. and Diesmann, M.	Spike-Timing Dependence of Structural Plasticity Explains Cooperative Synapse Formation in the Neocortex	PLoS Comput Biol (2012) 8(9): e1002689 doi:10.1371/journal.pcbi.1002689
Djurfeldt 2012	Djurfeldt, M.	The Connection-set Algebra - A Novel Formalism for the Representation of Connectivity Structure in Neuronal Network Models	Neuroinformatics (2012) 10(3): 287-304 doi:10.1007/s12021-012-9146-1
Djurfeldt et al. 2014	Djurfeldt, M., Davison, A.P. and Eppler, J.M.	Efficient generation of connectivity in neuronal networks from simulator-independent descriptions	Front. Neuroinform. (2014) 8:43 doi:10.3389/fninf.2014.00043	fulltext
Fournier et al. 2011	Fournier, J., Monier, C., Pananceau, M. and Fregnac, Y.	Adaptation of the simple or complex nature of V1 receptive fields to visual statistics	Nature Neuroscience (2011) 14: 1053-1060 doi:10.1038/nn.2861	abstract, (fulltext)
Friston et al. 2012	Friston, K., Adams, R. A., Perrinet, L. and Breakspear, M.	Perceptions as hypotheses: saccades as experiments	Front. Psychology (2012) 3:151 doi:10.3389/fpsyg.2012.00151	abstract, fulltext
Galtier and Wainrib 2012	Galtier, M. and Wainrib, G.	Multiscale analysis of slow-fast neuronal learning models with noise	The Journal of Mathematical Neuroscience (2012) 2:13 doi:10.1186/2190-8567-2-13	abstract, fulltext, BibTeX
Grytskyy et al. 2013b	Grytskyy, D., Tetzlaff, T., Diesmann, M. and Helias, M.	A unified view on weakly correlated recurrent networks	Frontiers in computational neuroscience (2013) 7(131): 1-19 doi:10.3389/fncom.2013.00131	fulltext
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	fulltext
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	fulltext
Kooijmans et al. 2014	Kooijmans, R.N., Self,M.W., Wouterlood,F.G., Beliën, J.A.M. and Roelfsema P.R.	Inhibitory Interneuron Classes Express Complementary AMPA-Receptor Patterns in Macaque Primary Visual Cortex	The Journal of Neuroscience (2014) 34(18): 6303-6315 doi:10.1523/JNEUROSCI.3188-13.2014	fulltext
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	fulltext
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	abstract, fulltext
Kunkel et al. 2014	Kunkel, 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 computers	Front. Neuroinform. (2014) 8:78 doi:10.3389/fninf.2014.00078	abstract, fulltext
Lindén et al. 2011	Lindén, H., Tetzlaff, T., Potjans, T.C., Pettersen, K.H., Grün, S., Diesmann, M. and Einevoll, G.T.	Modeling the spatial reach of the LFP	Neuron (2011) 72(5): 859-872 doi:10.1016/j.neuron.2011.11.006	fulltext
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	abstract
Petrovici et al. 2014	Petrovici, 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 Platforms	PLoS ONE (2014) 9(10): e108590 doi:10.1371/journal.pone.0108590	abstract
Pfeil et al. 2012b	Pfeil, 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 hardware	Front. Neurosci. (2012) 6:90 doi:10.3389/fnins.2012.00090	abstract, fulltext
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	abstract, fulltext
Probst et al. 2015	Probst, 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 neurons	Front. Comput. Neurosci. (2015) 9:13 doi:10.3389/fncom.2015.00013	fulltext
Rombouts et al. 2015	Rombouts, J.O., Bohte, S.M. and Roelfsema, P.R.	How Attention Can Create Synaptic Tags for the Learning of Working Memories in Sequential Tasks	PLoS Comput Biol (2015) 11(3): e1004060 doi:10.1371/journal.pcbi.1004060	fulltext
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	fulltext
Rudolph-Lilith and Muller 2014b	Rudolph-Lilith, M. and Muller, L. E.	Algebraic approach to small-world network models	Phys. Rev. E (2014) 89: 012812 doi:10.1103/PhysRevE.89.012812	abstract, fulltext
Schmuker et al. 2014	Schmuker, M., Pfeil, T. and Nawrot, M. P.	A neuromorphic network for generic multivariate data classification	PNAS (2014) 111(6): 2081-2086 doi:10.1073/pnas.1303053111	abstract, fulltext
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	fulltext
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	fulltext
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
Vasquez et al. 2012	Vasquez, J.-C., Palacios, A., Marre, O., Berry II, M. J. and Cessac, B.	Gibbs distribution analysis of temporal correlations structure in retina ganglion cells	J. Physiol. Paris (2012) 106(4):120-127 doi:10.1016/j.jphysparis.2011.11.001	(fulltext), BibTeX
Vogels et al 2013	T. 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. Sprekeler	Inhibitory synaptic plasticity: spike timing-dependence and putative network function	Frontiers In Neural Circuits (2013) : 7 doi:10.3389/fncir.2013.00119	fulltext
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	abstract, fulltext
Yousaf et al. 2013	M. Yousaf, B. Kriener, J. Wyller, G.T. Einevoll	Generation and annihilation of localized persistent-activity states in a two-population neural-field model	Neural Networks (2013) 46}:75-90 doi:10.1016/j.neunet.2013.04.012	abstract
Yousaf et al. 2013b	M. Yousaf, J. Wyller, T. Tetzlaff, G.T. Einevoll	Effect of localized input on bump solutions in a two-population neural-field model	Nonlinear Analysis Series B: Real World Applications (2013) 14:997-1025 doi:10.1016/j.nonrwa.2012.08.013	abstract

Book chapter

Devor et al. 2012	Devor, A., Boas, D.A., Einevoll, G.T., Buxton, R.B. and Dale, A.M.	Neuronal Basis of Non-Invasive Functional Imaging: From Microscopic Neurovascular Dynamics to BOLD fMRI	Advances in Neurobiology (2012) 4: 433-500 doi:10.1007/978-1-4614-1788-0_15	abstract
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
Pettersen et al. 2012	Pettersen, K.H., Linden, H., Dale, A.M. and Einevoll, G.T.	Extracellular spikes and CSD	Handbook of Neural Activity Measurement, edited by R. Brette and A. Destexhe, Cambridge, 2012: 92-135 Book URL: http://www.cambridge.org/gb/knowledge/isbn/item6698760/?site_locale=en_GB
Pettersen et al. 2013	Pettersen, K. H., Linden, H., Dale, A.M. and Einevoll, G. T.	Extracellular spikes and current-source density	in Handbook of Neural Activity Measurement, edited by Romain Brette and Alain Destexhe, ISBN: 9780521516228, Published September 2012	fulltext
van Albada et al. 2014	van 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

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	fulltext
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
Denkeret al 2013b	Denker, 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
Diesmann 2012 a	Diesmann, M.	Active decorrelation in local cortical networks	Biology and Physics of Information Processing ; Nordita, Stockholm ; Sweden ; 04/16/2012 - 05/11/2012
Diesmann 2012b	Diesmann, M.	Brain-scale neuronal network simulations on K	4th Biosupercomputing Symposium ; Tokyo ; Japan ; 12/03/2012 - 12/05/2012
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
Grytskyy et al. 2012	Grytskyy, D., Tetzlaff, T., Diesmann, M. and Helias, M.	Unifying propagators and covariances of network models by Ornstein-Uhlenbeck process	12th Granada* Seminar - Physics, Computation and the Mind - Advances and Challenges at Interfaces ; La Herradura ; Spain ; 09/17/2012 - 09/21/2012	abstract
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
Grytskyyet al 2013c	Grytskyy, D. ; Tetzlaff, T. ; Diesmann, M. ; Helias, M.	Covariances in neural networks in linear approximation	Donders Discussion 2013, Nijmegen, Netherlands, 10/31/2013 - 11/01/2013
Helias et al. 2014a	Helias, M., Kunkel, S., Morrison, A. and Diesmann, M.	NEST, simulation technology for brain-scale networks at cellular and synaptic resolution	SOS18 Conference on distributed supercomputing, St. Moritz, Switzerland, 03/17/2014 - 03/20/2014
Kunkel et al. 2014c	Kunkel, S., Helias, M., Diesmann, M. and Morrison, A.	Specifying supercomputers for brain-scale neuronal network simulations	HPC for Life Science, Brussels, Belgium, 05/26/2014 - 05/27/2014
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
Potjans Tet al 2013	Potjans, T. C. ; Diesmann, M.	A minimal cell-type specific model of the cortical microcircuit	Dynamics of Neuronal Systems, Freiburg, Germany, 03/18/2013 - 03/20/2013
Schemmel et al. 2012a	Schemmel, 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 System	IEEE International Symposium on Circuits and Systems 2012
Schmidt et al. 2013c	Schmidt, 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. 2014	Schmidt, M., Schücker, J., van Albada, S., Bakker, R., Helias, M. and Diesmann, M.	Multi-area network model of visual cortex	4th BrainScaleS plenary meeting, Manchester, Grossbritannien, 19 - 21 March 2014
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
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

Conference contribution: poster

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	fulltext
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
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
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	abstract
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	fulltext
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	fulltext
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
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	abstract
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)
EpplerM et al 2013	Eppler, 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. 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
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	abstract
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	abstract
Grytskyy et al. 2014b	Grytskyy, D., Diesmann, M. and Helias, M.	Activity propagation in plastic feed-forward networks of nonlinear neurons	Machine Learning Summer School 2014, MLSS, Reykjavik, Iceland, 04/24/2014 - 05/04/2014
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
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
Grytskyyet al. 2014	Grytskyy, D. ; Diesmann, M. ; Helias, M.	Activity propagation in plastic feed-forward networks of nonlinear neurons	Bernstein Conference 2014, BCCN 2014, Goettingen, Germany, 09/03/2014 - 09/05/2014
Hageet al 2013	Hagen, 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
Heliaset al 2013	Helias, M. ; Tetzlaff, T. ; Diesmann, M.	Intrinsic and extrinsic sources of correlated activity in recurrent networks	10th Goettingen meeting of the German neuroscience Society, NWG 2013, Goettingen, Germany, 03/13/2013 - 03/16/2013
Heliaset al 2013b	Helias, M. ; Tetzlaff, T. ; Diesmann, M.	Recurrence and external sources differentially shape network correlations.	Computational Neuroscience Conference 2013, CNS*2013, Paris, France, 07/13/2013 - 07/18/2013
Itoet al 2013	Ito, 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 2013b	Ito, 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 2013	Jordan, 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 2013b	Jordan, 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 2015	Jordan, 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 study	11th Göttingen Meeting of the German Neuroscience Society, Göttingen, Germany, 03/18/2015 - 03/21/2015
Jordanet al. 2014b	Jordan, J., Petrovici, M., Pfeil, T., Breitwieser, O., Bytschok, I., Bill, J., Gruebl, A., Schemmel, J., Meier, K., Diesmann, M. and Tetzlaff, T.	Neural Networks as Sources of uncorrelated Noise for functional neural Systems	OCCAM 2014, Osnabrueck, Germany, 05/07/2014 - 05/09/2014
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
Kunkel et al 2013	S. 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 2013b	Kunkel, 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. 2011b	Lindén, 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 doi:10.1186/1471-2202-12-S1-O	fulltext
Mukaiet al 2013	Mukai, 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 2013	Nowke, 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
Pfeilet al 2014	Pfeil, T., Jordan, J., Tetzlaff, T., Grübl, A., Schemmel, J., Diesmann, M. and Meier, K.	Decorrelation of neural-network activity on heterogeneous neuromorphic hardware	10th Bernstein Conference 2014, Goettingen, Goettingen, Germany, 09/02/2014 - 09/05/2014 doi:10.12751/nncn.bc2014.0221	abstract
Plesser et al 2013	H. 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
Schmidt et al. 2013	Schmidt, M., van Albada, S., Bakker, R. and Diesmann, M.	Toward a spiking multi-area network model of macaque visual cortex	Proceedings of the 10th Meeting of the German Neuroscience Society, Neuroforum 2013 : T24-10D (2013)
Schmidt et al. 2013b	Schmidt, M., van Albada, S., Bakker, R. and Diesmann, M.	Integrating multi-scale data for a network model of macaque visual cortex	Annual CNS Meeting 2013, BMC Neuroscience 2013, 14(Suppl 1):P111 (2013)
Schmidt et al. 2014c	Schmidt, M., van Albada, S., Bakker, R. and Diesmann, M.	A spiking multi-area network model of macaque visual cortex	Annual meeting of the SfN, SfN2014, Washington, DC, USA, 11/15/2014 - 11/19/2014
Schmidt et al. 2014d	Schmidt, M., van Albada, S., Bakker, R. and Diesmann, M.	Connectomics of a multi-area network model of macaque visual cortex	Micro-, meso- and macro-connectomics of the brain, Paris, Frankreich, 05/05/2014 - 05/05/2014
Schmidtet al 2013b	Schmidt, 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
Schuecker et al. 2014a	Schücker, J., Diesmann, M. and Helias, M.	The transfer function of the LIF model: from white to filtered noise	Computation Neuroscience Conference 2014, CNS14, Quebec, Canada, 07/23/2014 - 07/31/2014
Suzukiet al 2013	Suzuki, 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
Tauste et al. 2013	Tauste, A., Martinez-Garcia, M. and Romo, R.	Estimation of directed information between simultaneous spike trains in decision making	Workshop "New approaches to spike train analysis and neuronal coding", Computational Neuroscience Meeting, Paris, 2013.
Tetzlaff et al. 2014	Tetzlaff, T., Jordan, J., Petrovici, M., Breitwieser, O., Bytschok, I., Bill, J., Schemmel, J., Meier, K. and Diesmann, M.	Neural networks as sources of uncorrelated noise for functional neural architectures	10th Bernstein Conference 2014, Goettingen, Goettingen, Germany, 09/02/2014 - 09/05/2014 doi:10.12751/nncn.bc2014.0133	abstract
Tetzlaff et al. 2015	Tetzlaff, 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 networks	2nd International Symposium of the Clinical Research Group 219, Cologne, Germany, 02/26/2015 - 02/28/2015
thanasoulis11	Thanasoulis, 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 System	Dresdner Arbeitstagung Schaltungs und Systementwurf (DASS 2011), p. 72-77
Torre et al. 2015	Torre, E., Canova, C., Gerstein, G., Helias, M., Denker, M. and Grün, S	Statistical assessment of sequences of synchronous spiking in massively parallel spike trains	Proceedings Cosyne (2015) I-86
van Albada et al. 2013	van Albada, S.J., Schrader, S., Helias, M. and Diesmann, M.	Influence of different types of downscaling on a cortical microcircuit model	BMC Neuroscience 2013, 14(Suppl 1):P112 doi:10.1186/1471-2202-14-S1-P112	abstract
van Albada et al. 2014k	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 Albadaet al 2013	van 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
Wagatsuma et al. 2011b	Wagatsuma, N., Potjans, T.C., Diesmann, M. and Fukai, T.	Layer dependent neural modulation of a realistic layered-microcircuit model in visual cortex based on bottom-up and top-down signals	BMC Neuroscience 2011, 12(Suppl 1):P114 doi:10.1186/1471-2202-12-S1-P114	fulltext
Zehl et al. 2012	Zehl, 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)

Web publication

Schuecker et al. 2014	Schuecker, J., Diesmann, M. and Helias, M.	Spectral properties of excitable systems subject to colored noise	arXiv:1411.0432	abstract, fulltext
van Albada et al. 2014b	Van 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 Gehirns	RWTH Themen (2014) 2: 52-57	fulltext
van Albada et al. 2014e	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	arXiv:1411.4770	abstract, fulltext

Other

Chorley et al. 2014	Chorley, P., Diesmann, M., Helias, M. and Grün, S.	Correlated rate vector dynamics in motor cortex	INM Retreat, Jülich, Germany, 07/01/2014 - 07/02/2014
Helias 2014b	Helias, M.	The origin of population rate oscillations in spiking neural networks	INM Retreat, Juelich, Germany, 07/01/2014 - 07/02/2014
Jordan et al. 2014d	Jordan, J., Petrovici, M., Pfeil, T., Breitwieser, O., Bytschok, I., Bill, J., Gruebl, A., Schemmel, J., Meier, K., Diesmann, M. and Tetzlaff, T.	Neural networks as sources of uncorrelated noise for functional neural systems	4th BrainScaleS Plenary meeting, Manchester, England, 03/20/2014 - 03/21/2014
Jordan et al. 2014e	Jordan, J., Petrovici, M., Pfeil, T., Bytschok, I., Bill, J., Gruebel, A., Meier, K., Diesmann, M. and Tetzlaff, T.	Neural networks as sources of uncorrelated noise for functional neural systems	4th BrainScaleS Plenary meeting, Manchester, England, 03/20/2014 - 03/21/2014
Jordanet al. 2014	Petrovici, M., Pfeil, T., Breitwieser, O., Bytschok, I., Bill, J., Gruebl, A., Schemmel, J., Meier, K., Diesmann, M. and Tetzlaff, T.	Neural Networks as Sources of uncorrelated Noise for functional neural Systems	INM Retreat 2014, Juelich, Germany, 07/01/2014 - 07/02/2014
Kunkel et al. 2012	Kunkel, 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 Scale	in 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
Kunkelet al. 2014b	Plesser, H.E., Helias, M., Diesmann, M. and Morrison, A.	The NEST 4g kernel: highly scalable simulation code from laptops to supercomputers	BrainScaleS CodeJam Workshop 6, Juelich, Germany, 01/27/2014 - 01/29/2014	BibTeX
Maximov et al. 2014	Maximov, 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. 2014	Schücker, J., Schmidt, M., van Albada, S., Diesmann, M. and Helias, M.	Stability analysis of a multi-area network model of macaque visual cortex	INM Retreat 2013, Juelich, Germany, 07/01/2014 - 07/02/2014
Schmidt et al. 2014b	Schmidt, M., Schücker, J., van Albada, S., Bakker, R., Helias, M. and Diesmann, M.	Multi-area network model of visual cortex	4th BrainScales plenary meeting, Manchester, Grossbritannien, 03/19/2014 - 03/21/2014
Tetzlaff et al. 2014c	Tetzlaff, 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 V1	INM retreat, Jülich, Germany, 07/01/2014 - 07/02/2014
van Albada and Diesmann 2014	van Albada, S. and Diesmann, M.	NEST HPC status - technology and theory	BrainScaleS Demo 1, 2 and 3 workshop, Gif-sur-Yvette, France, 11/25/2014 - 11/26/2014
van Albada et al. 2014l	van Albada, S., Schmidt, M., Bakker, R. and Diesmann, M.	Spiking multi-area model of macaque visual cortex	INM Retreat 2014, Jülich, Germany, 07/01/2014 - 07/02/2014