Publications of M.

Select a view.
127 publication entries, 78 of them (printed in bold in the list) acknowledge the project support.
Jump to:
Book chapter
Conference contribution: talk
Conference contribution: poster
Web publication
Other

Paper (reviewed)

Baudot et al. 2013Baudot, 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 neuronsFront. Neural Circuits (2013) 7:206
doi:10.3389/fncir.2013.00206
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 et al. 2012Deco, G., Senden, M. and Jirsa, V.K.How anatomy shapes dynamics: a semi-analytical study of the brain at rest by a simple spin modelFront. Comput. Neurosci. (2012) :
doi:10.3389/fncom.2012.00068
abstract, 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
Djurfeldt 2012Djurfeldt, M. The Connection-set Algebra - A Novel Formalism for the Representation of Connectivity Structure in Neuronal Network ModelsNeuroinformatics (2012) 10(3): 287-304
doi:10.1007/s12021-012-9146-1
Djurfeldt et al. 2014Djurfeldt, M., Davison, A.P. and Eppler, J.M. Efficient generation of connectivity in neuronal networks from simulator-independent descriptionsFront. Neuroinform. (2014) 8:43
doi:10.3389/fninf.2014.00043
fulltext
Fournier et al. 2011Fournier, J., Monier, C., Pananceau, M. and Fregnac, Y. Adaptation of the simple or complex nature of V1 receptive fields to visual statisticsNature Neuroscience (2011) 14: 1053-1060
doi:10.1038/nn.2861
abstract, (fulltext)
Friston et al. 2012Friston, K., Adams, R. A., Perrinet, L. and Breakspear, M. Perceptions as hypotheses: saccades as experimentsFront. Psychology (2012) 3:151
doi:10.3389/fpsyg.2012.00151
abstract, fulltext
Galtier and Wainrib 2012Galtier, M. and Wainrib, G.Multiscale analysis of slow-fast neuronal learning models with noiseThe Journal of Mathematical Neuroscience (2012) 2:13
doi:10.1186/2190-8567-2-13
abstract, fulltext, BibTeX
Grytskyy et al. 2013bGrytskyy, D., Tetzlaff, T., Diesmann, M. and Helias, M.A unified view on weakly correlated recurrent networksFrontiers in computational neuroscience (2013) 7(131): 1-19
doi:10.3389/fncom.2013.00131
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
Helias et al. 2014Helias, M., Tetzlaff, T. and Diesmann, M. The Correlation Structure of Local Neuronal Networks Intrinsically Results from Recurrent DynamicsPLoS Computational Biology (2014) 10(1): e1003428
doi:10.1371/journal.pcbi.1003428
fulltext
Kooijmans et al. 2014Kooijmans, 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 CortexThe Journal of Neuroscience (2014) 34(18): 6303-6315
doi:10.1523/JNEUROSCI.3188-13.2014
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. 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
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
Muir and Kampa 2015Muir, 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 dataFront Neuroinform. (2015) 8:85.
doi:10.3389/fninf.2014.00085
abstract
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
doi:10.1371/journal.pone.0108590
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
Potjans et al. 2011bPotjans, W., Diesmann, M. and Morrison, A.An Imperfect Dopaminergic Error Signal Can Drive Temporal-Difference LearningPLoS Comput Biol. (2011) 7(5): e1001133
doi:10.1371/journal.pcbi.1001133
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
doi:10.3389/fncom.2015.00013
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
Rudolph-Lilith and Muller 2014Rudolph-Lilith, M. and Muller, L. E. On a representation of the Verhulst logistic mapDiscrete Mathematics (2014) 324: 19-27
doi:10.1016/j.disc.2014.01.018
fulltext
Rudolph-Lilith and Muller 2014bRudolph-Lilith, M. and Muller, L. E. Algebraic approach to small-world network modelsPhys. Rev. E (2014) 89: 012812
doi:10.1103/PhysRevE.89.012812
abstract, fulltext
Schmuker et al. 2014Schmuker, M., Pfeil, T. and Nawrot, M. P. A neuromorphic network for generic multivariate data classificationPNAS (2014) 111(6): 2081-2086
doi:10.1073/pnas.1303053111
abstract, fulltext
Tetzlaff et al. 2012Tetzlaff, T., Helias, M., Einevoll, G. T. and Diesmann, M. Decorrelation of Neural-Network Activity by Inhibitory FeedbackPLoS Comput Biol (2012) 8(8): e1002596
doi:10.1371/journal.pcbi.1002596
fulltext
Tully et al. 2014Tully, P. J., Hennig, M. H. and Lansner, A.Synaptic and Nonsynaptic Plasticity Approximating Probabilistic InferenceFront. Synaptic Neurosci. (2014) 6:8
doi:10.3389/fnsyn.2014.00008
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
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
doi:10.1016/j.jphysparis.2011.11.001
(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
doi:10.3389/fncir.2013.00119
fulltext
Wagatsuma et al. 2011Wagatsuma, N., Potjans, T.C., Diesmann, M. and Fukai, T.Layer-dependent attentional processing by top-down signals in a visual cortical microcircuit modelFront. Comput. Neurosci. (2011) 5:31
doi:10.3389/fncom.2011.00031
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
doi:10.1016/j.neunet.2013.04.012
abstract
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
doi:10.1016/j.nonrwa.2012.08.013
abstract

Book chapter

Devor et al. 2012Devor, 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 fMRIAdvances in Neurobiology (2012) 4: 433-500
doi:10.1007/978-1-4614-1788-0_15
abstract
Lansner and Diesmann 2012Lansner, A. and Diesmann, M. Virtues, Pitfalls, and Methodology of Neuronal Network Modeling and Simulations on SupercomputersComputational Systems Neurobiology, Editors N. Le Novère, ISBN: 978-94-007-3857-7 (Print) 978-94-007-3858-4 (Online) (2012): 283-315 abstract
Pettersen et al. 2012Pettersen, 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. 2013Pettersen, K. H., Linden, H., Dale, A.M. and Einevoll, G. T.Extracellular spikes and current-source densityin Handbook of Neural Activity Measurement, edited by Romain Brette and Alain Destexhe, ISBN: 9780521516228, Published September 2012 fulltext
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

Bakker and Diesmann 2014Bakker, 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 2014Bos, H. and Helias, M. The origin of population rate oscillations in spiking neural networksHeraeusSeminar on The Versatile Action of Noise: From Genetic to Neural Circuits, Bremen, Germany, 06/22/2014 - 06/27/2014
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
Diesmann 2012 aDiesmann, M. Active decorrelation in local cortical networksBiology and Physics of Information Processing ; Nordita, Stockholm ; Sweden ; 04/16/2012 - 05/11/2012
Diesmann 2012bDiesmann, M. Brain-scale neuronal network simulations on K4th Biosupercomputing Symposium ; Tokyo ; Japan ; 12/03/2012 - 12/05/2012
Diesmann 2012cDiesmann, M. Decorrelation of neural-network activity by inhibitory feedbackVariance & Invariants in Brain and Behavior ; TECHNION, Haifa ; Israel ; 05/21/2012 - 05/23/2012
Grytskyy et al. 2012Grytskyy, D., Tetzlaff, T., Diesmann, M. and Helias, M. Unifying propagators and covariances of network models by Ornstein-Uhlenbeck process12th 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. 2012bGrytskyy, D., Tetzlaff, T., Diesmann, M. and Helias, M.Unification of covariances in different neuron network models through the mapping onto Ornstein-Uhlenbeck processApplied Mathematics, Control and Informatics, Belgorod, Russia, 10/03/2012 - 10/05/2012
Grytskyyet al 2013cGrytskyy, 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. 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
Potjans Tet al 2013Potjans, 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. 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
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
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
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

Bakker et al. 2014bBakker, 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 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
Bakkeret al 2013Bakker, 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. 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
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
Davison et al. 2013Davison, 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 forestNeuroinformatics 2013, Stockholm, Sweden, August (2013).
doi:10.3389/conf.fninf.2013.09.00020
abstract
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
Denkeret al 2013Denker, M. ; Riehle, A. ; Diesmann, M. ; Grün, S.Relating excess spike synchrony to LFP-locked firing rate modulations.
Annual CNS Meeting 2013, Paris, France, 07/13/2013 - 07/18/2013
Eppler et al. 2011bEppler, 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 NESTPoster at the 4th INCF Congress of Neuroinformatics, Boston, USA
doi:10.3389/conf.fninf.2011.08.00085
abstract
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
Grytskyy et al. 2012cGrytskyy, 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. 2012eGrytskyy, 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. 2014bGrytskyy, D., Diesmann, M. and Helias, M. Activity propagation in plastic feed-forward networks of nonlinear neuronsMachine Learning Summer School 2014, MLSS, Reykjavik, Iceland, 04/24/2014 - 05/04/2014
Grytskyyet al 2013bGrytskyy, 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 2013dGrytskyy, 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. 2014Grytskyy, D. ; Diesmann, M. ; Helias, M. Activity propagation in plastic feed-forward networks of nonlinear neuronsBernstein Conference 2014, BCCN 2014, Goettingen, Germany, 09/03/2014 - 09/05/2014
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
Heliaset al 2013Helias, 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 2013bHelias, 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 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
Jordanet al. 2014bJordan, 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 SystemsOCCAM 2014, Osnabrueck, Germany, 05/07/2014 - 05/09/2014
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
abstract
Kunkelet al 2013bKunkel, S. ; Schmidt, M. ; Eppler, J. M. ; Igarashi, J. ; Masumoto, G. ; Fukai, T. ; Ishii, S. ; Plesser, H. E. ; Morrison, A. ; Diesmann, M. ; Helias, M.
Supercomputers ready for use as discovery machines for neuroscience
10th Meeting of the German Neuroscience Society, NWG 2013, Goettingen, Germany, 03/13/2013 - 03/18/2013
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
doi:10.1186/1471-2202-12-S1-O
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
Pfeilet al 2014Pfeil, T., Jordan, J., Tetzlaff, T., Grübl, A., Schemmel, J., Diesmann, M. and Meier, K. Decorrelation of neural-network activity on heterogeneous neuromorphic hardware10th Bernstein Conference 2014, Goettingen, Goettingen, Germany, 09/02/2014 - 09/05/2014
doi:10.12751/nncn.bc2014.0221
abstract
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
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
Schuecker et al. 2014aSchücker, J., Diesmann, M. and Helias, M. The transfer function of the LIF model: from white to filtered noiseComputation Neuroscience Conference 2014, CNS14, Quebec, Canada, 07/23/2014 - 07/31/2014
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
Tauste et al. 2013Tauste, A., Martinez-Garcia, M. and Romo, R. Estimation of directed information between simultaneous spike trains in decision makingWorkshop "New approaches to spike train analysis and neuronal coding", Computational Neuroscience Meeting, Paris, 2013.
Tetzlaff et al. 2014Tetzlaff, 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 architectures10th Bernstein Conference 2014, Goettingen, Goettingen, Germany, 09/02/2014 - 09/05/2014
doi:10.12751/nncn.bc2014.0133
abstract
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
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
Torre et al. 2015Torre, E., Canova, C., Gerstein, G., Helias, M., Denker, M. and Grün, SStatistical assessment of sequences of synchronous spiking in massively parallel spike trainsProceedings Cosyne (2015) I-86
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 Albada et al. 2014kvan 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 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
Wagatsuma et al. 2011bWagatsuma, 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 signalsBMC Neuroscience 2011, 12(Suppl 1):P114
doi:10.1186/1471-2202-12-S1-P114
fulltext
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)

Web publication

Schuecker et al. 2014Schuecker, J., Diesmann, M. and Helias, M.Spectral properties of excitable systems subject to colored noisearXiv:1411.0432 abstract, 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

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
Helias 2014bHelias, M. The origin of population rate oscillations in spiking neural networksINM Retreat, Juelich, Germany, 07/01/2014 - 07/02/2014
Jordan et al. 2014dJordan, 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 systems4th BrainScaleS Plenary meeting, Manchester, England, 03/20/2014 - 03/21/2014
Jordan et al. 2014eJordan, 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 systems4th BrainScaleS Plenary meeting, Manchester, England, 03/20/2014 - 03/21/2014
Jordanet al. 2014Petrovici, 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 SystemsINM Retreat 2014, Juelich, Germany, 07/01/2014 - 07/02/2014
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
Kunkelet al. 2014bPlesser, H.E., Helias, M., Diesmann, M. and Morrison, A. The NEST 4g kernel: highly scalable simulation code from laptops to supercomputersBrainScaleS CodeJam Workshop 6, Juelich, Germany, 01/27/2014 - 01/29/2014 BibTeX
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 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 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


 
. 
 

26 August 2016