Publications of E.

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80 publication entries, 44 of them (printed in bold in the list) acknowledge the project support.
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Paper (reviewed)

Arduin et al. 2013	Arduin, P.-J., Fregnac, Y., Shulz, D. E. and Ego-Stengel, V.	"Master" Neurons Induced by Operant Conditioning in Rat Motor Cortex during a Brain-Machine Interface Task	The Journal of Neuroscience (2013) 33(19): 8308-8320 doi:10.1523/JNEUROSCI.2744-12.2013	fulltext
Brüderle et al. 2011	Brüderle, D., Petrovici, M. A., Vogginger, B., Ehrlich, M., Pfeil, T., Millner, S., Grübl, A., Wendt, K., Müller, E., Schwartz, M.-O., de Oliveira, D. H., Jeltsch, S., Fieres, J., Schilling, M., Müller, P., Breitwieser, O., Petkov, V., Muller, L., Davison, A. P., Krishnamurthy, P., Kremkow, J., Lundqvist, M., Muller, E., Partzsch, J., Scholze, S., Zühl, L., Mayr, C., Destexhe, A., Diesmann, M., Potjans, T. C., Lansner, A., Schüffny, R., Schemmel, J. and Meier, K.	A comprehensive workflow for general-purpose neural modeling with highly configurable neuromorphic hardware systems	Biological Cybernetics (2011) 104(4-5): 263-296 doi:10.1007/s00422-011-0435-9	abstract, fulltext
Deco and Hugues 2012a	Deco, G. and Hugues, E.	Balanced input allows optimal encoding in a stochastic binary neural network model: an analytical study	PLoS One (2012) 7(2): e30723 doi:10.1371/journal.pone.0030723	fulltext
Deco and Hugues 2012b	Deco, G. and Hugues, E.	Neural network mechanisms underlying stimulus driven variability reduction	PLoS Comput Biol (2012) 8(3): e1002395 doi:10.1371/journal.pcbi.1002395	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)
Dehghani et al. 2012	Dehghani, N., Hatsopoulos, N.G., Haga, Z.D., Parker, R.A., Greger, B., Halgren, E., Cash, S.S., and Destexhe, A.	Avalanche analysis from multielectrode ensemble recordings in cat, monkey, and human cerebral cortex during wakefulness and sleep	Frontiers in Physiology (2012) 3: 302 doi:10.3389/fphys.2012.00302	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
Ego-Stengel et al. 2012	Ego-Stengel, V., Le Cam, J., and Shulz, D.E.	Coding of apparent motion in the thalamic nucleus of the rat vibrissal somatosensory system.	J. Neuroscience (2012) 32(10): 3339-3351 doi:10.1523/JNEUROSCI.3890-11.2012	fulltext
Einevoll et al. 2012	Einevoll, G. T., Franke, F., Hagen, E., Pouzat, C. and Harris, K. D.	Towards reliable spike-train recordings from thousands of neurons with multielectrodes	Current Opinion in Neurobiology (2012) 22(1): 11-17 doi:10.1016/j.conb.2011.10.001	fulltext
Estebanez et al. 2012	Estebanez, L., Boustani, S. E., Destexhe, A. and Shulz, D. E.	Correlated input reveals coexisting coding schemes in a sensory cortex	Nature Neuroscience (2012) 15: 1691-1699 doi:10.1038/nn.3258	abstract, (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
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
Hansen et al. 2015	Hansen, E.C.A, Battaglia, D., Spiegler, A., Deco, G. and Jirsa, V.K.	Functional connectivity dynamics: Modeling the switching behavior of the resting state	NeuroImage (2015) 105: 525-535 doi:10.1016/j.neuroimage.2014.11.001
Heiberg et al 2013	Thomas Heiberg, Birgit Kriener, Tom Tetzlaff, Alex Casti, Gaute T. Einevoll, Hans E. Plesser	Firing-rate models capture essential response dynamics of LGN relay cells	J Comput Neurosci (2013) 35:359-375 doi:10.1007/s10827-013-0456-6	abstract
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
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
LeCam et al 2011	Le Cam, J., Estebanez, L., Jacob, V. and Shulz, D.E.	The spatial structure of multi-whisker receptive fields in the barrel cortex is stimulus-dependent.	J. Neurophysiol (2011) 106(2):986-98 doi:10.1152/jn.00044.2011.
Linden et al. 2014	Lindén, H., Hagen, E., Łeski, S., Norheim, E. S., Pettersen, K. H. and Einevoll, G. T.	LFPy: a tool for biophysical simulation of extracellular potentials generated by detailed model neurons	Front. Neuroinform. (2014) 7:41 doi:10.3389/fninf.2013.00041	abstract, fulltext
Muller et al. 2014	Muller, L.E., Reynaud, A., Chavane, F. and Destexhe, A.	The stimulus-evoked population response in visual cortex of awake monkey is a propagating wave	Nature Communications (2014) 5: 3675 doi:10.1038/ncomms4675	fulltext
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
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
Peyrache et al. 2012	Peyrache, A., Dehghani, N., Eskandar, E.N., Madsen, J.R., Anderson, W.S., Donoghue, J.S., Hochberg, L.R., Halgren, E., Cash, S.S., and Destexhe, A.	Spatiotemporal dynamics of neocortical excitation and inhibition during human sleep	PNAS (2012) 109 (5): 1731-1736 doi:10.1073/pnas.1109895109	abstract, fulltext
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
Pinotsis et al. 2013	Pinotsis, D.A., Hansen, E., Friston, K.J. and Jirsa, V.K.	Anatomical connectivity and the resting state activity of large cortical networks	Neuroimage (2013) 65:127-38 doi:10.1016/j.neuroimage.2012.10.016	abstract, (fulltext)
Rankin et al. 2012	Rankin, J., Tlapale, E., Veltz, R., Faugeras, O. and Kornprobst, P.	Bifurcation analysis applied to a model of motion integration with a multistable stimulus	Journal of Computational Neuroscience (2013) 34(1): 103-124 doi:10.1007/s10827-012-0409-5	fulltext, BibTeX
Rankin et al. 2013a	Rankin, J., Tlapale, E., Veltz, R., Faugeras, O. and Kornprobst, P.	Bifurcation analysis applied to a model of motion integration with a multistable stimulus	Journal of Computational Neuroscience (2013) 34(1): 103-124 doi:10.1007/s10827-012-0409-5	fulltext
Rudolph-Lilith and Muller 2014	Rudolph-Lilith, M. and Muller, L. E.	On a representation of the Verhulst logistic map	Discrete Mathematics (2014) 324: 19-27 doi:10.1016/j.disc.2014.01.018	fulltext
Rudolph-Lilith and Muller 2014b	Rudolph-Lilith, M. and Muller, L. E.	Algebraic approach to small-world network models	Phys. Rev. E (2014) 89: 012812 doi:10.1103/PhysRevE.89.012812	abstract, fulltext
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
Zenke et al. 2015	Zenke, F., Agnes, E.J. and Gerstner, W.	Diverse synaptic plasticity mechanisms orchestrated to form and retrieve memories in spiking neural networks	Nature Communications (2015) 6: 6922 doi:10.1038/ncomms7922	fulltext

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
Estebanez et al. 2014	Estebanez, L., Boustani, S. E. and Shulz, D. E.	What the whiskers tell the tactile brain	Med Sci (2014) 30: 93-98 doi:10.1051/medsci/20143001019	abstract

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
Shulz and Feldman in press	Shulz, D.E. and Feldman, D.	Spike Timing Dependent Plasticity in Development	In: Neural Circuit Development and Function in the Healthy and Diseased Brain, 1st Edition: Comprehensive Developmental Neuroscience. (P. Rakic and J Rubenstein). (2013) Print Book ISBN : 9780123972675, eBook ISBN : 9780123973467	abstract

Conference contribution: talk

Einevoll et al. 2013c	Einevoll, G. T., Leski, S. and Hagen, E.	Tutorial on LFPy: T3: Modeling and interpretation of extracellular potentials	CNS 2013, Paris, France	abstract
Hagen 2014	Hagen, E.	LFPy and hybrid scheme for local field potentials. CNS2014 tutorial T4: Modeling and analysis of extracellular potentials	CNS 2014 Québec City: July 26-31, 2014, CNS2014, Quebec City, Candada, 07/26/2014 - 07/31/2014
Shulz 2012a	Shulz D.E.	Keep in touch: sensing the world with whiskers	Plennary Lecture, 2nd French-Argentinean symposium in Neurosciences (2012) Buenos Aires, Argentina (Invited)
Shulz 2012b	Shulz, D.E.	Neuronal representation of complex multi-whisker tactile scenes	FENS satellite symposium on Barrel Cortex Function (2012) Barcelona, Spain. Invited.
Shulz 2012c	Shulz, D. E.	Distributed inputs to the barrel system coupled to multiple single unit recordings in the somatosensory cortex	Keynote Speaker, 3rd Workshop GDR 2904, "Multi-electrode recordings and signal processing applied to the study of neuronal networks". Marseille, France (2012) Invited.

Conference contribution: poster

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
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
Dehghani et al. 2011	Dehghani, N., Peyrache, A., Eskandar, E., Madsen, J., Anderson, W., Donoghue, J., Halgren, E., Destexhe, A. and Cash, S.	Relationship between excitatory and inhibitory neuronal activity and local field potentials during human sleep.	Soc Neurosci Abstracts 37: 451.05
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
Einevoll et al. 2014	Einevoll, G.T., Łeski, S. and Hagen, E.	Tutorial: Modeling and interpretation of extracellular potentials (T4)	CNS 2014, Québec City (Canada), http://www.cnsorg.org/cns-2014-tutorials#T4	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
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
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
Heiberg et al 2013a	T. Heiberg, B. Kriener, T. Tetzlaff, G. T. Einevoll, and H. E. Plesser	Firing-rate models for neurons with a broad repertoire of spiking behaviors.	BMC Neuroscience (2013) 14(Suppl 1):P317 doi:10.1186/1471-2202-14-S1-P317	abstract
Hugues et al. 2013	Hugues, E., Brito, Stein Naves de Brito, C., Gerstner, W., Romo, R. and Deco, G.	A model of perceptual discrimination under sequential sensory evidence	Computational Neuroscience Meeting, Paris, 2013, BMC Neuroscience 14(Suppl. 1):P102. doi:10.1186/1471-2202-14-S1-P102	abstract
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
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
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
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)
Peyrache et al. 2011b	Peyrache, A., Dehghani, N., Eskandar, E., Madsen, J., Anderson, W., Donoghue, J., Halgren, E., Cash, S.S. and Destexhe, A.	Spatio-temporal dynamics of neocortical excitation and inhibition during human sleep.	Soc Neurosci Abstracts 36: 451.06
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
Plesser et al. 2011	Plesser, H.E., Crook, S. and Davison, A.P.	Reproducible models and reliable simulations: Current trends in computational neuroscience	SIAM Computational Science and Engineering 2011, Reno, Nevada, February 2011
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
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
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
Torre et al. 2013a	Torre, E.	Spike Pattern Detection by Frequent Itemset Mining	Tenth Göttigen Meeting of the German Neuroscience Society. Göttingen, Germany: T26-21D (2013)
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
Zenke et al. 2015b	Zenke F., Agnes E., Gerstner W.	Hebbian and non-Hebbian plasticity orchestrated to form and retrieve memories in spiking networks	COSYNE 2015, Salt Lake City	fulltext

PhD Thesis

Müller 2014

Müller, E.

Novel Operation Modes of Accelerated Neuromorphic Hardware

PhD Thesis (2014) at the University of Heidelberg

fulltext

Other

	Rehn, E., Benjaminsson, S. and Lansner, A.	Event-based Sensor Interface for Supercomputer scale Neural Networks	KTH technical report TRITA-CSC-CB, ISSN 1653-5707; 2012:02	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
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
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
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