Publications of M.

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271 publication entries, 149 of them (printed in bold in the list) acknowledge the project support.
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Adhikari et al. 2012	Adhikari, M.H., Quilichini, P.P., Roy, D., Jirsa, V.K. and Bernard, C.	Brain State Dependent Postinhibitory Rebound in Entorhinal Cortex Interneurons	J Neurosci. (2012) 32(19):6501-6510 doi:10.1523/JNEUROSCI.5871-11.2012	abstract, (fulltext)
Bakker et al. 2012	Bakker, R., Wachtler, T. and Diesmann, M.	CoCoMac 2.0 and the future of tract-tracing databases	Front Neuroinform. (2012) 6: 30. doi:10.3389/fninf.2012.00030	fulltext
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
Bazhenov et al. 2011	Bazhenov, M., Lonjers, P., Skorheim, S., Bedard, C. and Destexhe, A.	Non-homogeneous extracellular resistivity affects the current-source density profiles of up/down state oscillations	Phil. Trans. R. Soc. A (2011) 369:3802-3819 doi:10.1098/rsta.2011.0119	abstract, fulltext
Bopp et al. 2014	Bopp, R., Maçarico da Costa, N., Kampa, B.M., Martin, K.A. and Roth M.M.	Pyramidal cells make specific connections onto smooth (GABAergic) neurons in mouse visual cortex	PLoS Biol. (2014) 12(8):e1001932 doi:10.1371/journal.pbio.1001932	abstract, 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
Budd and Kisvarday 2012	Budd, J.M.L. and Kisvárday, Z.F.	Communication and wiring in the cortical connectome	Front. Neuroanat. (2012) 6:42 doi:10.3389/fnana.2012.00042	abstract, fulltext
Dagnino et al. 2015	Dagnino, B., Gariel-Mathis, M.-A. and Roelfsema, P. R.	Microstimulation of area V4 has little effect on spatial attention and on the perception of phosphenes evoked in area V1	Journal of Neurophysiology (2015) 113(3): 730-739 doi:10.1152/jn.00645.2014	abstract
Deco at al. 2014b	Deco, G., McIntosh, A.R., Shen, K., Hutchison, R.M., Menon, R.S., Everling, S., Hagmann, P. and Jirsa, V.K.	Identification of Optimal Structural Connectivity Using Functional Connectivity and Neural Modeling	The Journal of Neuroscience (2014) 34(23): 7910-7916 doi:10.1523/JNEUROSCI.4423-13.2014	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
Deco et al. 2013	Deco,G., Ponce-Alvarez, A., Mantini, D., Romani, G.L., Hagmann, P. and Corbetta, M.	Resting-state functional connectivity emerges from structurally and dynamically shaped slow linear fluctuations	J. Neurosci. (2013) 33: 11239-11252 doi:10.1523/JNEUROSCI.1091-13.2013	abstract, (fulltext)
Deco et al. 2014	Deco, G., Ponce-Alvarez, A., Hagmann, P., Romani, G.L., Mantini, D. and Corbetta, M.	How local excitation-inhibition ratio impacts the whole brain dynamics	J. Neurosci. (2014) 34: 7886-7898 doi:10.1523/JNEUROSCI.5068-13.2014	abstract, (fulltext)
DeFelipe et al. 2013	DeFelipe, J., Lopez-Cruz, P.L., Benavides-Piccione, R., Bielza, C., Larranaga, P., Anderson, S., Burkhalter, A., Cauli, B., Fairen, A., Feldmeyer, D., Fishell, G., Fitzpatrick, D., Freund, T.F., Gonzalez-Burgos, G., Hestrin, S., Hill, S., Hof, P.R., Huang, J., Jones, E.G., Kawaguchi, Y., Kisvarday, Z., Kubota, Y., Lewis, D.A., Marin, O., Markram, H., McBain, C.J., Meyer, H.S., Monyer, H., Nelson, S.B., Rockland, K., Rossier, J., Rubenstein, J.L.R., Rudy, B., Scanziani, M., Shepherd, G.M., Sherwood, C.C., Staiger, J.F., Tamas, G., Thomson, A., Wang, Y., Yuste, R. and Ascoli, G.A.	New insights into the classification and nomenclature of cortical GABAergic interneurons	Nature Reviews Neuroscience (2013) 14: 202-216 doi:10.1038/nrn3444	(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
Denker et al. 2011c	Denker, M., Roux, S., Lindén, H., Diesmann, M., Riehle, A. and Grün, S.	The local field potential reflects surplus spike synchrony	Cerebral Cortex (2011) 21:2681-2695 doi:10.1093/cercor/bhr040	abstract, fulltext
Devor et al. 2013	Devor, A., Bandettini, P., Boas, D., Bower, J., Buxton, R., Cohen, L., Dale, A., Einevoll, G., Fox, P., Franceschini, M., Friston, K., Fujimoto, J., Geyer, M., Greenberg, J., Halgren, E., Hamalainen, M., Helmchen, F., Hyman, B., Jasanoff, A., Jernigan, T., Judd, L., Kim, S.-G., Kleinfeld, D., Kopell, N., Kutas, M., Kwong, K., Larkum, M., Lo, E., Magistretti, P., Mandeville, J., Masliah, E., Mitra, P., Mobley, W., Moskowitz, M., Nimmerjahn, A., Reynolds, J., Rosen, B., Salzberg, B., Schaffer, C., Silva, G., So, P., Spitzer, N., Tootell, R., Essen, D. V., Vanduffel, W., Vinogradov, S., Wald, L., Wang, L., Weber, B. and Yodh, A.	The challenge of connecting the dots in the B.R.A.I.N.	Neuron (2013) 80: 270-274 doi:10.1016/j.neuron.2013.09.008	abstract
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
Ehrlich and Schüffny 2013	Ehrlich, M., Schüffny, R.	Neural Schematics as a unified formal graphical representation of large-scale Neural Network Structures	Frontiers in Neuroinformatics (2013) 7:22 doi:10.3389/fninf.2013.00022
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)
Fournier et al. 2014	Fournier, J., Monier, C., Levy, M., Marre, O., Sári, K., Kisvárday Z.F. and Frégnac, Y.	Hidden Complexity of Synaptic Receptive Fields in Cat V1	The Journal of Neuroscience (2014) 34(16): 5515-5528 doi:10.1523/JNEUROSCI.0474-13.2014	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
Galtier et al. 2012	Galtier, M., Faugeras, O. and Bressloff, P.	Hebbian Learning of Recurrent Connections: A Geometrical Perspective	Neural Computation (2012) 24(9): 2346-2383 doi:10.1162/NECO_a_00322	(fulltext)
Gerstein et al. 2012	Gerstein, G.L., Williams, E.R., Diesmann, M., Grün, S. and Trengove, C.	Detecting synfire chains in parallel spike data	Journal of Neuroscience Methods (2012) 206(1): 54-64 doi:10.1016/j.jneumeth.2012.02.003	fulltext
Grytskyy et al. 2013	Grytskyy, D., Tetzlaff, T., Diesmann, M., and Helias, M.	A unified view on weakly correlated recurrent networks	Front Comput Neurosci. (2013) 7:131 doi:10.3389/fncom.2013.00131	fulltext
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
Hagen et al. 2015b	Hagen, E., Ness, T.V., Khosrowshahi, A., Sørensen, C., Fyhn, M., Hafting, T., Franke, F. and Einevoll, GT.	ViSAPy: A Python tool for biophysics-based generation of virtual spiking activity for evaluation of spike-sorting algorithms	Journal of Neuroscience Methods (2015) 245: 182-204 doi:10.1016/j.jneumeth.2015.01.029	abstract, fulltext
Hanuschkin et al.	Hanuschkin, A., Diesmann M., and Morrison, A.	A reafferent and feed-forward model of song syntax generation in the Bengalese finch	J Comput Neurosci. (2011) 31(3):509-32 doi:10.1007/s10827-011-0318-z	fulltext
Helias et al. 2011	Helias, M., Deger, M., Rotter, S. and Diesmann, M.	Finite post synaptic potentials cause a fast neuronal response	Front. Neurosci. (2011) 5:19 doi:10.3389/fnins.2011.00019	abstract, 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. 2013	Helias, M., Tetzlaff, T., and Diesmann, M.	Echoes in correlated neural systems	New J. Phys. (2013) 15: 023002 doi:10.1088/1367-2630/15/2/023002	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
Insabato et al. 2014	Insabato, A., Dempere-Marco, L., Pannunzi, M., Deco, G. and Romo, R.	The influence of spatio-temporal structure of noisy stimuli in decision-making	PLoS Comput. Biol. (2014) 10: e1003492 doi:10.1371/journal.pcbi.1003492	fulltext
Ito et al. 2014	Ito, 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 respiration	Nature Communications (2014) 5: 3572 doi:10.1038/ncomms4572	fulltext
Kaplan Khoei et al 2014	Kaplan, B.A., Khoei, M.A., Lansner, A. and Perrinet, L.U.	Signature of an anticipatory response in area V1 as modeled by a probabilistic model and a spiking neural network	International Joint Conference on Neural Networks (IJCNN) (2014) : 3205-3212 doi:10.1109/IJCNN.2014.6889847	abstract
Khoei et al. 2013	Khoei, M.A., Masson, G.S. and Perrinet, L.U.	Motion-based prediction explains the role of tracking in motion extrapolation	Journal of Physiology (2013) 107: 409-420 doi:10.1016/j.jphysparis.2013.08.001	(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. 2014	Kriener, B., Enger, H., Tetzlaff, T., Plesser, H.E., Gewaltig, M.-O. and Einevoll, G.T.	Dynamics of self-sustained asynchronous-irregular activity in random networks of spiking neurons with strong synapses	Front. Comput. Neurosci. (2014) 8:136 doi:10.3389/fncom.2014.00136	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. 2011b	Kunkel, S., Potjans, T.C., Eppler, J.M., Plesser, H.E., Morrison, A. and Diesmann, M.	Meeting the memory challenges of brain-scale network simulation	Front. Neuroinform. (2011) 5:35 doi:10.3389/fninf.2011.00035	abstract
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
Levy et al. 2013	Levy, M., Fournier, J. and Frégnac, Y.	The role of delayed suppression during fast and slow contrast adaptation in V1 Simple cells	The Journal of Neuroscience (2013) 33(15): 6388-6400 doi:10.1523/JNEUROSCI.3609-12.2013	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
Lundqvist et al. 2011a	Lundqvist, M., Herman, P. and Lansner, A.	Theta and gamma power increases and alpha/beta power decreases with memory load in an attractor network model	J Cogn Neurosci (2011) 23:3008-3020 doi:10.1162/jocn_a_00029	abstract
Lundqvist et al. 2012	Lundqvist, M., Herman, P. and Lansner, A.	Variability of spike firing during theta-coupled replay of memories in a simulated attractor network	Brain Res (2012) 1434:152-161 doi:10.1016/j.brainres.2011.07.055	fulltext
Mayrhofer et al. 2013	Mayrhofer, J.M., Skreb, V., von der Behrens, W., Musall, S., Weber, B. and Haiss, F.	Novel two-alternative forced choice paradigm for bilateral vibrotactile whisker frequency discrimination in head-fixed mice and rats	AJP - JN Physiol (2013) 109(1): 273-284 doi:10.1152/jn.00488.2012	abstract, (fulltext)
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
Muller et al. 2014b	Muller, L.E., Destexhe, A. and Rudolph-Lilith, M.	Brain networks: small-worlds, after all?	New Journal of Physics (2014) 16: 105004 doi:10.1088/1367-2630/16/10/105004	abstract, fulltext
Musall et al. 2014	Musall, S., von der Behrens, W., Mayrhofer, J.M., Weber ,B., Helmchen, F. and Haiss F.	Tactile frequency discrimination is enhanced by circumventing neocortical adaptation	Nature Neuroscience (2014) 17(11): 1567-1573 doi:10.1038/nn.3821	abstract, (fulltext)
Navaridasa et al. 2013	Navaridasa, 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 architecture	Parallel Computing (2013) 39(11): 693-708 doi:10.1016/j.parco.2013.09.001	fulltext
Nessler et al. 2013	Nessler, B., Pfeiffer, M., Buesing, L. and Maass, W.	Bayesian computation emerges in generic cortical microcircuits through spike-timing-dependent plasticity	PLOS Computational Biology (2013) 9(4):e1003037 doi:10.1371/journal.pcbi.1003037	abstract, fulltext, BibTeX
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. 2012	Pfeil, 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 substrate	Front. Neurosci. (2013) 7:11 (Pre-print: http://arxiv.org/abs/1210.7083) doi:10.3389/fnins.2013.00011	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 and Diesmann 2012	Potjans, T. and Diesmann, M.	The Cell-Type Specific Cortical Microcircuit: Relating Structure and Activity in a Full-Scale Spiking Network Model	First published online: December 2, 2012. Cereb. Cortex (2014) 24 (3): 785-806 doi:10.1093/cercor/bhs358	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
Reig et al. 2015	Reig, R., Zerlaut, Y., Vergara, R., Destexhe, A. and Sanchez-Vives, M.	Gain modulation of synaptic inputs by network state in auditory cortex in vivo	Journal of Neuroscience (2015) 35: 2689-2702 doi:10.1523/JNEUROSCI.2004-14.2015	abstract
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
Rombouts et al. 2015b	Rombouts, J. O., Bohte, S. M., Martinez-Trujillo, J. and Roelfsema, P. R.	A learning rule that explains how rewards teach attention	Visual Cognition (2015) 33:179-205 doi:10.1080/13506285.2015.1010462	abstract
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
Santamari­a-Garcia et al. 2013	Santamari­a-Garci­a, H., Pannunzi, M., Ayneto, A., Deco, G., Sebastian-Galles, N.	'If you are good, I get better': the role of social hierarchy in perceptual decision-making	Soc. Cogn. Affect. Neurosci. (1014) 9(10):1489-1497 doi:10.1093/scan/nst133	abstract, (fulltext)
Savin et al. 2014	Savin, C., Dayan, P. and Lengyel, M.	Optimal Recall from Bounded Metaplastic Synapses: Predicting Functional Adaptations in Hippocampal Area CA3	PLoS Comput Biol (2014) 10(2): e1003489 doi:10.1371/journal.pcbi.1003489	fulltext
Schain et al. 2013	Schain, M., Benjaminsson, S., Varnäs, K., Forsberg, A., Halldin, C., Lansner, A., Farde, L. and Varrone, A.	Arterial input function derived from pairwise correlations between PET-image voxels	J Cereb Blood Flow Metab (2013) 33:1058-1065 doi:10.1038/jcbfm.2013.47	(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
Scholze et al. 2011	Scholze, S., Eisenreich, H., Höppner, S., Ellguth, G., Henker, S., Ander, M., Hänzsche, S., Partzsch, J., Mayr, C. and Schüffny, R.	A 32 GBit/s communication SoC for a waferscale neuromorphic system	Integration, the VLSI Journal (Elsevier) (2011) 45(1): 61-75, doi:10.1016/j.vlsi.2011.05.003
Schultze-Kraft et al. 2013	Schultze-Kraft, M., Diesmann, M., Grün, S. and Helias, M.	Noise Suppression and Surplus Synchrony by Coincidence Detection	PLoS Comput Biol. (2013) 9(4):e1002904 doi:10.1371/journal.pcbi.1002904
Self et al. 2013	Self, M.W., van Kerkoerle, T., Supèr, H. & Roelfsema, P.R.	Distinct roles of the cortical layers of area V1 in figure-ground segregation	Curr. Biol. (2013) 23: 2121-2129 doi:10.1016/j.cub.2013.09.013	abstract
Self et al. 2014	Self, M.W., Lorteije, J.A.M., Vangeneugden, J., van Beest, E.H., Grigore, M.E., Levelt, C., Heimel, J.A. and Roelfsema, P.R.	Orientation-Tuned Surround Suppression in Mouse Visual Cortex	The Journal of Neuroscience (2014) 34(28): 9290-9304 doi:10.1523/JNEUROSCI.5051-13.2014	fulltext
Tauste Campo et al. 2015	Tauste Campo, A., Martinez-Garcia, M., Nacher, V., Luna, R., Romo, R. and Deco, G.	Task-driven intra- and interarea communications in primate cerebral cortex	Proc. Natl. Acad. Sci. USA (2015) 112(15):4761-4766 doi:10.1073/pnas.1503937112	abstract
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
van Kerkoerle et al. 2014	van Kerkoerle, T., Self, M.W., Dagnino, B., Gariel-Mathis, M.-A., Poort, J., van der Togt, C. and Roelfsema, P.R.	Alpha and gamma oscillations characterize feedback and feedforward processing in monkey visual cortex	PNAS (2014) 111(40): 14332-14341 doi:10.1073/pnas.1402773111	abstract, fulltext
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
Vella et al. 2014	Vella, M., Cannon, R.C., Crook, S., Davison, A.P., Ganapathy, G., Robinson, H.P.C., Silver, R.A. and Gleeson, P.	libNeuroML and PyLEMS: using Python to combine procedural and declarative modelling approaches in computational neuroscience	Frontiers in Neuroinformatics (2014) 8: 38 doi:10.3389/fninf.2014.00038	abstract
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

Review

Crook et al. 2012

Crook, 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 models

Network: Computation in Neural Systems (2012) 23(4): 131-149 doi:10.3109/0954898X.2012.722743

abstract, fulltext

Book chapter

Crook et al. 2013	Crook., S. M., Davison, A. P. and Plesser, H. E.	Learning from the past: approaches for reproducibility in computational neuroscience	In: J.M. Bower (Ed.), 20 Years of Computational Neuroscience, Springer, ISBN 978-1-4614-1423-0 doi:10.1007/978-1-4614-1424-7_4	abstract
Davison et al. 2014	Davison, A.P., Mattioni, M., Samarkanov, D. and Telenczuk, B.	Sumatra: A Toolkit for Reproducible Research	In: Implementing Reproducible Research (2014), edited by V. Stodden, F. Leisch and R.D. Peng, Chapman & Hall/CRC: Boca Raton, Florida., pp. 57-79	abstract
Destexhe and Rudolph-Lilith 2014	Destexhe, A. and Rudolph-Lilith, M.	Noisy dendrites: Models of dendritic integration in vivo.	In: The Computing Dendrite, Edited by Cuntz, H., Remme, M.W.H. and Torben-Nielsen, B., Springer, New York, pp. 173-190, 2014, ISBN 978-1-4614-8093-8	abstract
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 organisation

Denker 2013b

Denker, M.

Why workflows become important to us

Workshop New Perspectives on Workflow and Data Management for the Analysis of Electophysiological Data, December 2013, Jülich, Germany

abstract

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
Denker 2012	Denker, M.	Implementing workflow strategies at INM-6	Talk at the 2nd Vision4Action Workshop; INT, CNRS-AMU, Marseille, France; 06/20/2012-06/20/2012
Denker 2012b	Denker, M.	Implementing workflow strategies	Talk at the 2nd Active Vision Workshop; Jülich, Germany; 11/15/2012-11/17/2012
Denker 2012c	Denker, M.	Rate vs. Synchrony - How the verification of correlation analysis inflates workflow complexity	Talk at the 1st INCF Workshop on Validation of Data-Analysis Methods; Stockholm, Sweden; 6/19/2012
Denker 2013	Denker, M.	Linking the spatial structure of precise spike synchronization and local field potentials in motor cortex	Proceedings of the 10th Meeting of the German Neuroscience Society, Neuroforum (2013): S24-2
Denker 2014c	Denker, M.	Utilizing e-phys data and metadata in the Neo framework	Neurodata without Borders Hackathon, Janelia Farms, Ashburn, VA, USA 20.-22. Nov 2014
Denker et al. 2012b	Denker, M., Zehl, L., Brochier, T., Grün, S., Riehle, A.	Comparing the spatio-temporal organization of joint spiking and local field potential oscillations in motor cortex	Twenty First Annual Computational Neuroscience Meeting: CNS*2012, Decatur, GA, USA; BMC Neuroscience 2012, 13(Suppl 1):P127 doi:10.1186/1471-2202-13-S1-P127	abstract
Denker et al. 2014	Denker, M., Abrams, M., Wachtler, T., Davison, A. and Grün, S.	INCF workshop report: New perspectives on workflows and data management for the analysis of electrophysiological data.	Neuroinformatics 2014, Leiden, Netherlands, 08/25/2014 - 08/27/2014 doi:10.3389/conf.fninf.2014.18.00021	abstract
Denker et al. 2014b	Denker, M., Zehl, L., Yegenoglu, A., Wachtler, T., Davison, A. and Grün, S.	Improving Workflows and Data Management for the Analysis of Electrophysiological Data	Advances in Neuroinformatics 2014, AINI2014, Wako-shi, Japan, 09/25/2014 - 09/26/2014
Denker2013	Denker, M.	Linking the spatial structure of precise spike synchonization and local field potentials in motor cortex	10th Meeting of the German Neuroscience Society (NWG) 2013, Göttingen, Germany, 03/13/2013 - 03/16/2013
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
Diesmann2013	Diesmann, M.	From local to brain-scale models at cellular and synaptic resolution	CENEM San Pedro Workshop, San Pedro de Atacama, Chile, 10/23/2013 - 10/25/2013
Diesmann2013b	Diesmann, M.	Future plans on meso/macro measures from cellular resolution	Modeling and Analysis of LFP, Ski, Norway, 01/08/2013 - 01/09/2013
Diesmann2013c	Diesmann, M.	Integrating brain structure and dynamics with spiking neuronal network models	Workshop on Brain Inspired Computing, Cetraro, Italy, 7/08/2013 - 07/11/2013
Diesmann2013d	Diesmann, M.	Relating structure and activity in a full-scale local cortical network model	Computational and Systems Neuroscience (Cosyne) 2013, Snowbird, USA, 03/04/2013 - 03/05/2013
Diesmann2013e	Diesmann, M.	Some further insights on the correlation structure of cortex and supercomputers as instruments of neuroscience	Brain Week, Bern, Switzerland, 03/11/2013 - 03/17/2013
Diesmann2013f	Diesmann, M.	Theorie und Simulation grosser neuronaler Netzwerke	Brain Week, Bern, Switzerland, 03/11/2013 - 3/17/2013
Diesmann2013g	Diesmann, M.	Use cases for interactive supercomputing in computational neuroscience	HBP workshop Interactive Supercomputing, Frankfurt, Germany, 09/30/2013 - 10/01/2013
Diesmann2014	Diesmann, M.	The K computer as an instrument to study brain-scale neuronal networks at microscopic resolution	Fujitsu HPC Forum, Tokyo, Japan, 08/26/2014 - 08/26/2014
Diesmann2014b	Diesmann, M.	HBP - HUMAN BRAIN PROJECT - SP4: Mathematical and Theoretical Foundations of Brain Research and SP6: Brain Simulation Platform	HBP - Human Brain Project - SP4, The Hague, Netherlands
Diesmann2014c	Diesmann, M.	My brain is finite	The European Institute for Theoretical Neuroscience (EITN) inauguration, Paris, Frankreich
Diesmann2014d	Diesmann, M.	Towards brain-scale spiking network models	Maastricht, Netherlands,
Diesmann2014e	Diesmann, M.	Cortical multi-area multi-layer network models: data integration and simulation technology	Seattle, USA (2014)
Diesmann2014f	Diesmann, M.	Simulation of brain-scale neuronal networks at cellular and synaptic resolution	4th HPC-Status Conference of the Gauss-Allianz, Aachen, Germany, 12/04/2014 - 12/05/2014
Diesmann2014g	Diesmann, M.	A full-scale spiking model of the local cortical network	Alghero, Sardinia, Italy, 05/14/2014 - 05/16/2014
Diesmann2014h	Diesmann, M.	A full-scale spiking model of the local cortical network	Maastricht, The Netherlands
Diesmann2014i	Diesmann, M.	Simulation of brain-scale neuronal networks at cellular and synaptic resolution	NeuroVisionen 10, Juelich, Germany, 09/26/2014
Diesmann2014j	Diesmann, M.	Spiking network simulation code for the peta scale	BrainScaleS, Heidelberg, Germany,
Festa et al. 2014	Festa, D., Hennequin, G. and Lengyel, M.	Analog Memories in a Balanced Rate-Based Network of E-I Neurons	Talk given at the Advances in Neural Information Processing 2014 (NIPS 2014), Paper appeared in the Advances in Neural Information Processing Systems 27 (2014)	fulltext
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 2013	Helias, M.	Structure and invariance of correlations in balanced networks	BCCN workshop 'Dynamics of Neuronal Systems', Freiburg, Germany, 06/18/2013 - 06/20/2013
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
Kunkelet al 2013	Kunkel, S. ; Diesmann, M.	Simulation technology at cellular and synaptic resolution for the largest computers	EU - US workshop on Cortical Processors, Heidelberg, Germany, 10/14/2013 - 10/15/2013
Nowke et al. 2013	Nowke, 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 Data	BioVis Symposium at the IEEE BioVis 2013, 13-18 Oct. 2013, Atlanta, Georgia, USA
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
Tauste Campo et al. 2014	Tauste Campo, A., Martinez Garcia, M., Nacher, R., Romo, R. and Deco, G.	Causal correlation paths across cortical areas in decision making	BMC Neuroscience (2014) 15(Suppl. 1): O7 doi:10.1186/1471-2202-15-S1-O7	fulltext
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
Bermudez et al. 2012	Bermudez, M., Courbonm D., Barthelemym F., Masson, G. S. and Vanzetta, I.	Effect of temporal frequency, color and contrast in V4 of the behaving macaque: neuronal responses and behavioral correlates	Abstracts of the 42nd Meeting of the Society for Neuroscience, October 2012, New Orleans, USA (2012)
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
Dahmen et al. 2014	Dahmen, D., Hagen, E., Stavrinou, M.L., Lindén, H., Tetzlaff, T., van Albada, S., Diesmann, M., Grün, S. and Einevoll, G.T.	Computing local-field potentials based on a point-neuron network model of cat V1	SFN Neuroscience 2014, Washington, D.C., United States of America, 11/15/2014 - 11/19/2014
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
De Haan 2012	De Haan, M.	Vision for Action: Exploring how visual inputs and motor outputs coordinate to create meaningful actions	Talk at the INT PhD-Day 2012; Marseille, France; 12/13/2012-12/13/2012.
De Haan 2012b	De Haan, M.	KINARM, EyeLink & Cerebus - Hardware Setup, Data Flow and Task Environment	Talk at the 2nd Vision4Action Workshop; INT, CNRS-AMU, Marseille, France; 06/20/2012-06/20/2012.
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
Denker et al. 2011d	Denker, M., Wirtssohn, S., Brochier, T., Grün, S. and Riehle, A.	Mapping the synchronization structure of LFP activity in motor cortex	Poster at the Ninth Göttingen Meeting of the German Neuroscience Society 2011: T21-9B	abstract
Denker et al. 2011e	Denker, M., Brochier, T., Grün, S. and Riehle, A.	Spatial synchronization structure of field potentials and spikes in a delayed grip task	Front. Comput. Neurosci. (2011) Conference Abstract: BC11 : Computational Neuroscience & Neurotechnology Bernstein Conference & Neurex Annual Meeting 2011 doi:10.3389/conf.fncom.2011.53.00103	abstract
Denker et al. 2012	Denker, M., Zehl, L., Brochier, T., Riehle, A. and Grün, S.	Spatial organization of joint spiking and local field potential coherence in motor cortex.	Poster contribution at conference Neurovisionen 8; Aachen, Germany; 10/26/2012.
Denker et al. 2012c	Denker, M., Zehl, L., Brochier, T., Grün, S., Riehle, A.	Spatial organization of synchronized activity expressed by joint spiking and local field potentials in motor cortex	8th FENS Forum of European Neuroscience 2012, Barcelona, Spain	abstract
Denker et al. 2014a	Zehl, L., Kilavik, B., Diesmann, M., Brochier, T., Riehle, A. and Grün, S.	Characterizing spatially organized LFP beta oscillations in the macaque motor cortex	AREADNE 2014, Santorini, Greece, 06/25/2014 - 06/29/2014
Denker et al. 2015	Denker, M., Yegenoglu, A., Holstein, D., Torre, E., Jennings, T., Davison, A. and Grün, S.	elephant: An open-source tool for the analysis of electrophysiological data	Proceedings of the 11th Meeting of the German Neuroscience Society, Neuroforum (2015) T27-2B
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
Djurfeldt 2011	Djurfeldt, M.	The Connection-set Algebra: a formalism for the representation of connectivity structure in neuronal network models, implementations in Python and C++, and their use in simulators	BMC Neuroscience 2011, 12(Suppl 1):P80 doi:10.1186/1471-2202-12-S1-P80	abstract
Eppler et al. 2011	Eppler, J.M., Kunkel, S., Plesser, H.E., Gewaltig, M.-O., Morrison, A. and Diesmann, M.	NEST: An efficient simulator for spiking neural network models	Poster at the Ninth Göttingen Meeting of the German Neuroscience Society 2011: T27-9B	abstract
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
Gorchetchnikov et al. 2011	Gorchetchnikov, A., Cannon, R., Clewley, R., Cornelis, H., Davison, A., De Schutter, E., Djurfeldt, M., Gleeson, P., Hill, S., Hines, M., Kriener, B., Le Franc, Y., Lo, C.-C., Morrison, A., Muller, E., Plesser, H.E., Raikov, I., Ray, S., Schwabe, L. and Szatmary, B.	NineML: declarative, mathematically-explicit descriptions of spiking neuronal networks	Front. Neuroinform. Conference Abstract: 4th INCF Congress of Neuroinformatics doi:10.3389/conf.fninf.2011.08.00098	abstract
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. 2012d	Grytskyy, D., Helias, M., Tetzlaff, T., Diesmann, M.	Ornstein-Uhlenbeck-process joins and extends different theories of correlations	Bernstein Conference 2012, Munich, Germany; Front Comp Neurosci 6 (2012) doi:10.3389/conf.fncom.2012.55.00101	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
Hagen et al. 2015	Hagen, E., Dahmen, D., Stavrinou, M.L., Linden, H., Tetzlaff, T., van Albada, S., Diesmann, M., Grün, S. and Einevoll, G.T.	Hybrid scheme for modeling local field potentials from point-neuron networks	11th Göttingen Meeting of the German Neuroscience Society, Göttingen, Germany, 03/18/2015 - 03/21/2015
Helias 2014	Helias, M.	Identifying anatomical circuits causing population rate oscillations in structured integrate-and-fire networks	Bernstein Conference, Goettingen, Germany, 09/03/2014 - 09/05/2014
Helias et al. 2011b	Helias, M., Tetzlaff, T. and Diesmann, M.	Towards a unified theory of correlations in recurrent neural networks	BMC Neuroscience 2011, 12(Suppl 1):P73 doi:10.1186/1471-2202-12-S1-P73	fulltext
Helias et al. 2011c	Helias, M., Grytskyy, D., Tetzlaff, T. and Diesmann, M.	Model-invariant features of correlations in recurrent networks	Front. Comput. Neurosci. (2011) Conference Abstract: BC11 : Computational Neuroscience & Neurotechnology Bernstein Conference & Neurex Annual Meeting 2011 doi:10.3389/conf.fncom.2011.53.00219	abstract
Helias et al. 2012a	Helias, M., Kunkel, S., Eppler, J., Masumoto, G., Igarashi, J., Ishii, S., Fukai, T., Morrison, A. and Diesmann, M.	Spiking neuronal network simulation technology for contemporary supercomputers	INCF Meeting, 10-12 Sept 2012, Munich, Germany
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
Kriener et al 2013	B. Kriener, H. Enger, T. Tetzlaff, H. E. Plesser, M.-O. Gewaltig, and G. T. Einevoll.	Dynamics and lifetime of persistent activity states in random networks of spiking neurons with strong synapses.	BMC Neuroscience (2013) 14(Suppl 1):P121	abstract
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
Lodi et al. 2013	Lodi, M., Somogyi, P. and Kisvarday, Z.	Synaptic targets of GABAergic fusiform cells in the cat primary visual cortex	XVIII. Hungarian Vision Symposium, Pécs (2013)
Maksimovet al 2012	Maksimov, 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"
Martinez-Garcia et al. 2011a	Martinez-Garcia, M., Rolls, E., Deco, G. and Romo, R.	Computational mechanisms of postponed decisions	Poster at the CNS Congress, Stockholm, Sweden, July 2011
Martinez-Garcia et al. 2011b	Martinez-Garcia, M., Insabato, A., Pardo-Vazquez, J.L., Acuña, C. and Deco, G.	Neural correlates of confidence in decision-making	Poster at the ICON Congress, Palma de Mallorca, Spain, September 2011
Maximovet al 2013	Maximov, A. ; van Albada, S. ; Diesmann, M.	Toward a biologically realistic spiking model of a rodent barrel column	Bernstein Conference 2013, Tuebingen, Germany, 09/25/2013 - 09/27/2013
Morrison et al. 2011	Morrison, A., Denker, M., Wiebelt, B., Fliegner, D. and Diesmann, M.	New possibilities for advanced analysis methods in neuroscience through modern approaches to trivial parallel data processing	Poster at the Ninth Göttingen Meeting of the German Neuroscience Society 2011: T27-11B	abstract
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
Ness et al. 2012	Ness, T.B., Hagen, E., Negwer, M., Bakker, R., Schubert, D. and Einevoll, G.T.	Modeling extracellular spikes and local field potentials recorded in MEAs	Proceedings of the 8th international meeting on Multielectrode Arrays, Reutlingen (2012)
Nowke et al. 2012b	Nowke, C., Hentschel, B., Kuhlen, T., Eppler, J.M., van Albada, S., Bakker, R., Diesmann, M., Schmidt, M.	VisNEST - Interactive analysis of neural activity data	IEEE VisWeek 2012	abstract
Nowke et al. 2013b	Nowke, C., Schmidt, M., van Albada, S., Eppler, J., Bakker, R., Diesmann, M., Hentschel, B. and Kuhlen, T.	Interactive visualization of brain-scale spiking activity	Annual CNS Meeting 2013, BMC Neuroscience 2013, 14(Suppl 1):P110
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
Potjans and Diesmann 2011b	Potjans, T.C. and Diesmann, M.	Robustness vs. flexibility: how do external inputs shape the activity in a data-based layered cortical network model?	BMC Neuroscience (2011) 12(Suppl 1):74 doi:10.1186/1471-2202-12-S1-P74	fulltext
Potjans et al. 2011	Potjans, T.C., Kunkel, S., Morrison, A., Plesser, H.E. and Diesmann, M.	Beyond local cortical network modeling: linking microscopic and macroscopic connectivity in brainscale simulations	Poster at the Ninth Göttingen Meeting of the German Neuroscience Society 2011: T26-6A	abstract
Raikov et al. 2011	Raikov, I., Cannon, R., Clewley, R., Cornelis, H., Davison, A., De Schutter, E., Djurfeldt, M., Gleeson, P., Gorchetchnikov, A., Plesser, H.E., Hill, S., Hines, M., Kriener, B., Le Franc, Y., Lo, C.-C., Morrison, A., Muller, E., Ray, S., Schwabe, L. and Szatmary, B.	NineML: the network interchange for neuroscience modeling language	BMC Neuroscience 2011, 12(Suppl 1):P330 doi:10.1186/1471-2202-12-S1-P330	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
Schmucker et al. 2011	Schmuker, M., Brüderle, D., Schrader, S. and Nawrot, M.	Ten thousand times faster: Classifying multidimensional data on a spiking neuromorphic hardware system.	Poster presented at BC11 - Bernstein Conference 2011 Computational Neuroscience / Neurotechnology and Neurex Annual Meeting, 04 October 2011 doi:10.1038/npre.2011.6547.1
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
Schultze-Kraft et al. 2011	Schultze-Kraft, M., Diesmann, M., Grün, S. and Helias, M.	Correlation transmission of spiking neurons is boosted by synchronous input	BMC Neuroscience 2011, 12(Suppl 1):P144 doi:10.1186/1471-2202-12-S1-P144	fulltext
Stavrinou et al. 2015	Stavrinou, M.L., Hagen, E., Dahmen, D., Linden, H., Tetzlaff, T., van Albada, S., Diesmann, M., Grün, S. and Einevoll, G.T.	Computing local field potentials based on spiking cortical networks	Neuro Informatics 2014, Leiden, Netherlands, 08/25/2014 - 08/27/2014
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. 2014b	Tetzlaff, T., Dahmen, D., Hagen, E., Stavrinou, M.L., Lindén, H., van Albada, S., Diesmann, M., Grün, S. and Einevoll, G.T.	Computing local-field potentials based on a point-neuron network model of cat V1	NeuroVisionen 10 meeting, Jülich, Germany, 09/26/2014 - 09/26/2014
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
Wirtssohn et al. 2011	Wirtssohn, S., Brochier, T., Denker, M., Grün, S. and Riehle, A.	Mapping the spatial structure of LFP activity in motor cortex	Poster at the Ninth Göttingen Meeting of the German Neuroscience Society 2011: T21-8B	abstract
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)
Zehl et al. 2013	Zehl, L. ; Brochier, T. ; Riehle, A. ; Grün, S. ; Denker, M.	Spatio-temporal organization of local field potential oscillations in the monkey motor cortex	10th Göttingen Meeting of the German Neuroscience Society, NWG2013, Göttingen, Germany, 03/13/2013 - 03/16/2013
Zehl et al. 2014b	Zehl, L., Denker, M., Stoewer, A., Jaillet, F., Brochier, T., Riehle, A., Wachtler, T. and Grün, S.	Metadata management for complex neurophysiological experiments	AREADNE 2014, Santorini, Greece, 06/25/2014 - 06/29/2014
Zehl et al. 2014c	Zehl, L., Denker, M., Adrian, S., Florent, J., Thomas, B., Alexa, R., Thomas, W. and Grün, S.	Handling complex metadata of neurophysiological experiments	INCF Neuroinformatics 2014, Leiden, Netherlands, 08/25/2014 - 08/27/2014 doi:10.3389/conf.fninf.2014.18.00029	abstract
Zehl et al. 2015	Zehl, L., Denker, M., Stoewer, A., Jaillet, F., Brochier, T., Riehle, A., Wachtler, T. and Grün, S.	How to efficiently organize and exploit metadata metadata of complex electrophysiological experiments	Proceedings of the 11th Meeting of the German Neuroscience Society, Neuroforum (2015) T27-1C

PhD Thesis

Brigham 2015	Brigham, M.	Non-Stationary Stochastic Dynamics of Neuronal Membranes	PhD thesis (2015)
Hock 2014	Hock, M.	Modern Semiconductor Technologies for Neuromorphic Hardware	PhD thesis (2014) at the University of Heidelberg	fulltext

Bachelor Thesis

Denne 2014	Denne, M.	Testen der Software und Vermessen des Multi-Compartment Chips	Bachelor thesis at University of Heidelberg (2014)	abstract, fulltext
Hellenbrand 2013	Hellenbrand, M.	A Raspberry Pi controlling neuromorphic hardware	Bachelor thesis at University of Heidelberg (2013)	abstract, fulltext

Web publication

Benjaminsson et al. 2011	Benjaminsson, S., Silverstein, D., Herman, P., Melis, P., Slavnic, V., Spasojevic, M., Alexiev, K. and Lansner, A.	Visualization of output from Large-Scale Brain Simulations	Partnership for Advanced Computing in Europe (PRACE), Project ID: PRPC06	fulltext
Nowke et al. 2013c	Nowke, C., Schmidt, M., van Albada, S., Eppler, J., Bakker, R., Diesmann, M., Hentschel, B. and Kuhlen, T.	VisNEST - Interactive analysis of neural activity data	Video posted on vimeo: http://vimeo.com/82512745	fulltext
Potjans and Diesmann 2011	Potjans, T.C. and Diesmann, M.	The cell-type specific connectivity of the local cortical network explains prominent features of neuronal activity	arXiv:1106.5678v1 [q-bio.NC] 28 Jun 2011	abstract
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

	Schönherr, M.	Denkende Hardware? - Neuartige Computerchips ahmen Fähigkeiten des menschlichen Gehirns nach	Radio-interview in German language in a feature of Deutschland Radio Kultur, broadcasted 12 April 2012 at 19:30. Interview part starting at minute 5:30, BrainScaleS at minute 8:35	abstract, fulltext
Canova et al. 2014	Canova, C., Torre, E., Denker, M., Gerstein, G. and Grün, S.	Statistical Assessment and Neuronal Composition of Active Synfire Chains	INM Retreat 2014, Jülich, Germany, 07/01/2014 - 07/02/2014
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
Dahmen et al. 2014b	Dahmen, D., Hagen, E., Stavrinou, M.L., Lindén, H., Tetzlaff, T., van Albada, S., Diesmann, M., Grün, S., Einevoll, G.T.	From spiking point-neuron networks to LFPs: a hybrid approach	BrainScaleS 4th plenary meeting, Manchester, United Kingdom, 03/19/2014 - 03/21/2014
Denker et al. 2014c	Denker, M., Yegenoglu, A., Davison, A. and Grün, S.	Towards a Unifying Tool for the Analysis of Electrophysiological Data Sets based on Neo	INM Retreat 2014, Jülich, Germany, 07/01/2014 - 07/02/2014
Denker et al. 2014d	Denker, M., Zehl, L., Kilavik, B., Diesmann, M., Brochier, T., Riehle, A. and Grün, S.	Characterizing Spatially Organized LFP Beta Oscillations in Motor Cortex	INM Retreat 2014, Jülich, Germany, 07/01/2014 - 07/02/2014
Gruen and Diesmann 2012	Gruen, S. and Diesmann, M.	Hirnforschung braucht ein Netzwerk: Computational and Systems Neuroscience am Forschungszentrum Juelich	systembiologie.de (2012) 4: 36-39	fulltext
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. 2014c	Jordan, J., Petrovici, M., Pfeil, T.	Neural networks as sources of uncorrelated noise for functional neural systems	HBP Workshop on Stochastic Neural Computation, Paris, France, 11/27/2014 - 11/28/2014
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
Stavrinou 2014	Stavrinou, M.L.	Local field potentials and network dynamics in a model cortical column of cat V1	Kongsberg Vision Meeting, Kongsberg (Norway) (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
Zehl et al. 2014	Denker, M., Stoewer, A., Jaillet, F., Brochier, T., Riehle, A., Wachtler, T. and Grün, S.	Organizing Metadata of Complex Neurophysiological Experiments	INM Retreat 2014, Juelich, Germany, 07/01/2014 - 07/02/2014

Newspaper article

	Marshall, M.	Brain-like chip outstrips normal computers	New Scientist magazine - 24 November 2012 (2012) 2892	fulltext
	Walpot, M.	Computerwissenschaft: Wenn das Gehirn wuerfelt	DiePresse.COM / Die Presse am Sonntag, 19 Nov 2011 (online) and 20 Nov 2011 (print)	fulltext