Publications of D.

Select a view.
82 publication entries, 46 of them (printed in bold in the list) acknowledge the project support.
Jump to:
Review
Book chapter
Conference contribution: talk
Conference contribution: poster
PhD Thesis
Master/Diploma Thesis
Bachelor Thesis
Web publication
Other

Paper (reviewed)

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)
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
Baladron et al. 2012	Baladron, J., Fasoli, D. and Faugeras, O.	Three applications of gpu computing in neuroscience	Computing in Science and Engineering (2012) 14(3):40-47 doi:10.1109/MCSE.2011.119	fulltext
Baladron et al. 2012b	Baladron, J., Fasoli, D.,Faugeras, O. and Touboul, J.	Mean-field description and propagation of chaos in networks of Hodgkin-Huxley neurons	Journal of Mathematical Neuroscience (2012) 2:10 doi:10.1186/2190-8567-2-10	fulltext, BibTeX
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
Chavane et al. 2012	Chavane, F., Sharon, D., Jancke, D., Marre, O., Frégnac, Y. and Grinvald, A	Lateral spread of orientation selectivity in V1 is controlled by intracortical cooperativity	Front. Syst. Neurosci. (2012) 5:4 doi:10.3389/fnsys.2011.00004	abstract, fulltext
Chicharro and Ledberg 2012	Chicharro, D. and Ledberg, A.	When two become one: the limits of causality analysis of brain dynamics	PLoS One (2012) 7(3):e32466 doi:10.1371/journal.pone.0032466	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)
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)
Faye et al. 2013	Faye, G., Rankin, J. and Lloyd, D. J. B.	Localized radial bumps of a neural field equation on the Euclidean plane and the Poincaré disk	Nonlinearity (2013) : 26 doi:10.1088/0951-7715/26/2/437	abstract, BibTeX
Garcia et al. 2014	Garcia, S., Guarino, D., Jaillet, F., Jennings, T.R., Pröpper, R., Rautenberg, P.L., Rodgers, C., Sobolev, A., Wachtler, T., Yger, P. and Davison, A.P.	Neo: an object model for handling electrophysiology data in multiple formats	Front. Neuroinform. (2014) 8:10 doi:10.3389/fninf.2014.00010	abstract, 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
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
Huys et al. 2014	Huys, R., Perdikis, D. and Jirsa, V.K.	Functional architectures and structured flows on manifolds: a dynamical framework for motor behavior	Psychol Rev. (2014) 121(3):302-336 doi:10.1037/a0037014
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
Kappel et al 2014	Kappel, D., Nessler, B. and Maass, W.	STDP installs in winner-take-all circuits an online approximation to hidden Markov model learning	PLOS Computational Biology (2014) 10(3):e1003511 doi:10.1371/journal.pcbi.1003511	abstract, fulltext
Kappel et al. 2013	D. Kappel, B. Nessler, and W. Maass	STDP Installs in Winner-Take-All Circuits an Online Approximation to Hidden Markov Model Learning	PLoS Comput Biol (2014) 10(3): e1003511 doi:10.1371/journal.pcbi.1003511	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.
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
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
Pecevski et al. 2011	Pecevski, D., Buesing, L. and Maass, W.	Probabilistic Inference in General Graphical Models through Sampling in Stochastic Networks of Spiking Neurons	PLoS Comput Biol (2011) 7(12): e1002294 doi:10.1371/journal.pcbi.1002294	fulltext
Perdikis Huys Jirsa 2011	Perdikis, D., Huys, R., Jirsa, V.K.	Time Scale Hierarchies in the Functional Organization of Complex Behaviors	PLoS Comput Biol (2011) 7(9):e1002198 doi:10.1371/journal.pcbi.1002198	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)
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
Rezende and Gerstner 2014	Rezende, D.J. and Gerstner, W.	Stochastic variational learning in recurrent spiking networks	Front. Comput. Neurosci. (2014) 8:38 doi:10.3389/fncom.2014.00038	fulltext
Silverstein and Lansner 2011	Silverstein, D.N. and Lansner, A.	Is Attentional Blink a Byproduct of Neocortical Attractors?	Front Comput Neurosci. (2011) 5: 13 doi:10.3389/fncom.2011.00013	abstract, fulltext
Ziegler et al. 2015	Ziegler, L., Zenke, F., Kastner, D.B. and Gerstner, W.	Synaptic Consolidation: From Synapses to Behavioral Modeling	The Journal of Neuroscience (2015) 35(3): 1319-1334 doi:10.1523/JNEUROSCI.3989-14.2015	abstract, fulltext

Review

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

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
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
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

Dahmen 2014	Dahmen, D.	From spiking point-neuron networks to LFPs: a hybrid approach	5th Active Vision Workshop, Jülich, Germany, 06/11/2014 - 06/13/2014
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
Rast et al. 2013	Rast, A., Partzsch, J., Mayr, C., Schemmel, J., Hartmann, S., Plana, L., Temple, S., Lester, D., Schueffny, R., Furber, S.	A Location-Independent Direct Link Neuromorphic Interface	International Joint Conference on Neural Networks (2013) doi:10.1109/IJCNN.2013.6706887
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
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)
Borgelt et al. 2012b	Borgelt, C., Picado-Muino, D., Berger, D., Gerstein, G. and Grün, S.	Cell Assembly Detection With Frequent Itemset Mining	CNS 2012 ; Decatur ; USA ; 07/21/2012 - 07/26/2012 doi:10.1186/1471-2202-13-S1-P126	abstract
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. 2013b	Davison, A.P., Brizzi, T., Guarino, D., Manette, O.F., Monier, C., Sadoc, G. and Frégnac, Y.	Helmholtz: a customizable framework for neurophysiology data management	Neuroinformatics 2013, Stockholm, Sweden, 27 Aug - 29 Aug, (2013) doi:10.3389/conf.fninf.2013.09.00025	abstract
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
Grün et al. 2012	Grün, S., Picado-Muino, D., Berger, D., Gerstein, G., Borgelt, C.	Detection of Neuronal Assemblies by Frequent Item Set Mining	Neuroinformatics 2012, Munich, Germany	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 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
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
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)
Rast et al. 2013a	Rast, A., Partzsch, J., Mayr, C., Schemmel, J., Hartmann, S., Plana, L., Temple, S., Lester, D., Schüffny, R. and Furber, S.	A location-independent direct link neuromorphic interface	Neural Networks, International Joint Conference on, 2013, Dallas, TX, USA
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
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
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

PhD Thesis

Fasoli 2013

Fasoli, D.

Traiter le cerveau avec les neurosciences : théorie de champ-moyen, effets de taille finie et capacité de codage des réseaux de neurones stochastiques

PhD Thesis, Universite Nice Sophia Antipolis (2013)

abstract, fulltext

Master/Diploma Thesis

Schmidt 2014

Schmidt, D.

Automated Characterization of a Wafer-Scale Neuromorphic Hardware System

Master thesis at University of Heidelberg (2014)

fulltext

Bachelor Thesis

Hinrichs 2014	Hinrichs, D.	Software Development in the Context of Dendrite Membrane Simulation	Bachelor thesis at University of Heidelberg (2014)	abstract, fulltext
Probst 2011	Probst, D.	Analysis of the Liquid Computing Paradigm on a Neuromorphic Hardware System	Diploma thesis (2011)	abstract, fulltext
Stöckel 2015	Stöckel, D.	Boltzmann Sampling with Neuromorphic Hardware	Bachelor thesis at University of Heidelberg (2015)	abstract

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

Other

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
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