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636 publication entries, 326 of them (printed in bold in the list) acknowledge the project support.
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Paper (reviewed)

	Faugeras, O. and MacLaurin, J.	Asymptotic Description of Neural Networks with Correlated Synaptic Weights	Entropy (2015) 17(7): 4701-4743 doi:10.3390/e17074701	fulltext
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)
Antolik and Bednar 2011	Antolik, J. and Bednar, J.A.	Development of maps of simple and complex cells in the primary visual cortex	Front. Comput. Neurosci. (2011) 5:17 doi:10.3389/fncom.2011.00017	abstract, fulltext
Antolik and Davison 2013	Antolik, J. and Davison, A.P.	Integrated workflows for spiking neuronal network simulations	Front. Neuroinform. (2013) 7:34 doi:10.3389/fninf.2013.00034	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
Auffarth et al. 2011	Auffarth, B., Kaplan, B. and Lansner, A.	Map formation in the olfactory bulb by axon guidance of olfactory neurons	Front Syst Neurosci (2011) 5:84 doi:10.3389/fnsys.2011.00084	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
Bakker et al. 2015	Bakker, R., Tiesinga, P. and Kötter, R.	The Scalable Brain Atlas: Instant Web-Based Acces to Public Brain Atlases and Related Content	Neuroinformatics February (2015) 13(3):353-366 doi:10.1007/s12021-014-9258-x	abstract, 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
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
Baudot et al. 2014	Baudot, P., Levy, M., Marre, O., Monier C. Pananceau, M. and Frégnac, Y.	Natural scenes evoke high temporal precision and low noise in V1	Frontiers in Neural Circuits (2014) (in press)
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
Bedard and Destexhe 2011	Bedard, C. and Destexhe, A.	Generalized theory for current-source-density analysis in brain tissue	Phys. Rev. E (2011) 84:041909 doi:10.1103/PhysRevE.84.041909	abstract
Bedard and Destexhe 2013	Bedard, C. and Destexhe, A.	Generalized cable theory for neurons in complex and heterogeneous media	PHYSICAL REVIEW E (2013) 88: 022709 doi:10.1103/PhysRevE.88.022709	abstract, fulltext
Bedard and Destexhe 2014b	Bedard, C. and Destexhe, A.	Mean-field formulation of Maxwell equations to model electrically inhomogeneous and isotropic media	Journal of Electromagnetic Analysis and Applications (2014) 6: 296-302 doi:10.4236/jemaa.2014.610029	fulltext
Bedard and Destexhe 2014c	Bedard, C. and Destexhe, A.	Generalized cable formalism to calculate the magnetic field of single neurons and neuronal populations	Physical Review E (2014) 90(4): 042723 doi:10.1103/PhysRevE.90.042723	abstract
Bedard et al. 2011	Bédard, C., Béhuret, S., Deleuze, C., Bal, T. and Destexhe, A.	Oversampling method to extract excitatory and inhibitory conductances from single-trial membrane potential recordings	J Neurosci Meth (2012) 210 (1): 3 - 14 doi:10.1016/j.jneumeth.2011.09.010	fulltext
Behuret et al. 2013	Behuret, S., Deleuze, C., Gomez, L., Fregnac, Y. and Bal, T.	Cortically-Controlled Population Stochastic Facilitation as a Plausible Substrate for Guiding Sensory Transfer across the Thalamic Gateway	PLoS Comput Biol (2013) 9(12): e1003401 doi:10.1371/journal.pcbi.1003401	fulltext
Benjaminsson and Lansner 2012	Benjaminsson, S. and Lansner, A.	Nexa: A scalable neural simulator with integrated analysis	Network: Computation in Neural Systems (2012) 23: 254-271 doi:10.3109/0954898X.2012.737087	abstract, fulltext
Berthet and Lansner 2014	Berthet, P. and Lansner, A.	Optogenetic Stimulation in a Computational Model of the Basal Ganglia Biases Action Selection and Reward Prediction Error	PLoS ONE (2014) 9(3): e90578 doi:10.1371/journal.pone.0090578	fulltext
Berthet et al. 2012	Berthet, P., Hellgren-Kotaleski, J. and Lansner, A.	Action selection performance of a reconfigurable Basal Ganglia model with a Hebbian-Bayesian Go-NoGo connectivity	Front. Behav. Neurosci. (2012) 6:65 doi:10.3389/fnbeh.2012.00065	fulltext
Bezgin et al. 2012	Bezgin, G., Vakorin, V. A., van Opstal, A. J., McIntosh, A. R. and Bakker, R.	Hundreds of brain maps in one atlas: Registering coordinate-independent primate neuro-anatomical data to a standard brain	NeuroImage (2012) 62(1): 67-76 doi:10.1016/j.neuroimage.2012.04.013	(fulltext)
Blackman et al 2014	A. V. Blackman, S. Grabuschnig, R. Legenstein, and P. J. Sjöström	A comparison of manual neuronal reconstruction from biocytin histology or 2-photon imaging: morphometry and computer modeling	Frontiers in neuroanatomy (2014) : 8 doi:10.3389/fnana.2014.00065	abstract, fulltext
Bogadhi et al. 2013	Bogadhi, A., Montagnini, A. and Masson, G.S.	Dynamical interaction between retinal and extra-retinal signals in motion integration for smooth pursuit	Journal of Vision (2013) 13(13): 5 doi:10.1167/13.13.5	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
Borgelt et al. 2012	Borgelt, C., Braune, C., Kötter, T. and Grün, S.	New algorithms for finding approximate frequent item sets	Soft Computing (2012) 16(5): 903-917 doi:10.1007/s00500-011-0776-2	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
Budd and Kisvarday 2013	Budd, J. and Kisvarday, Z.	How do you wire a brain?	Front. Neuroanat. (2013) 7:14 doi:10.3389/fnana.2013.00014	fulltext
Buesing 2011	Buesing, L., Bill, J., Nessler, B. and Maass, W.	Neural Dynamics as Sampling: A Model for Stochastic Computation in Recurrent Networks of Spiking Neurons	PLoS Comput Biol (2011) 7(11): e1002211 doi:10.1371/journal.pcbi.1002211	fulltext
Cessac 2011	Cessac, B.	Statistics of spike trains in conductance-based neural networks: Rigorous results	The Journal of Mathematical Neuroscience (2011) 1:1-42 doi:10.1186/2190-8567-1-8	fulltext, BibTeX
Cessac and Cofre 2013	Cessac, B. and Cofre, R.	Spike train statistics and Gibbs distributions	Journal of Physiology-Paris (2013) 107(5): 360-368 doi:10.1016/j.jphysparis.2013.03.001	fulltext
Chapuis and Tetzlaff 2014	Chapuis, A. and Tetzlaff, T.	The variability of tidewater-glacier calving: origin of event-size and interval distributions	Journal of Glaciology (2014) 60 (222): 622-634 doi:10.3189/2014JoG13J215	abstract
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
Chossat et al. 2011	Chossat, P., Faye, G., Faugeras, O.	Bifurcations of hyperbolic planforms	Journal of Nonlinear Science (2011) 21(4): 465-498 doi:10.1007/s00332-010-9089-3	abstract, fulltext, BibTeX
Cofré and Cessac 2012	Cofré, R. and Cessac, B.	Dynamics and spike trains statistics in conductance-based Integrate-and-Fire neural networks with chemical and electric synapses	Chaos, Solitons & Fractals (2013) 50: 13-31 doi:10.1016/j.chaos.2012.12.006	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
Davison 2012	Davison, A. P.	Automated Capture of Experiment Context for Easier Reproducibility in Computational Research	Computing in Science and Engineering (2012) 14: 48-56 doi:10.1109/MCSE.2012.41	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
Deco and Jirsa 2012	Deco, G. and Jirsa, V.	Ongoing cortical activity at rest: criticality, multistability and ghost attractors	The Journal of Neuroscience (2012) 32(10): 3366-3375 doi:10.1523/JNEUROSCI.2523-11.2012	fulltext
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
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
Deneux et al. 2012b	Deneux, T., Takerkart, S., Grinvald, A., Masson, G.S. and Vanzetta, I.	A processing work-flow for measuring erythrocytes velocity in extended vascular networks from wide field high-resolution optical imaging data.	Neuroimage (2012) 59: 2569-2588 doi:10.1016/j.neuroimage.2011.08.081	fulltext
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
Destexhe and Bedard 2012	Destexhe, A. and Bedard, C.	Do neurons generate monopolar current sources?	AJP - JN Physiol (2012) 108(4): 953-955 doi:10.1152/jn.00357.2012	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
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
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
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
El Boustani et al. 2012	El Boustani, S., Yger, P., Frégnac, Y. and Destexhe, A.	Stable Learning in Stochastic Network States	The Journal of Neuroscience (2012) 32(1): 194-214 doi:10.1523/JNEUROSCI.2496-11.2012	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)
Faugeras and Inglis 2015	Faugeras, O. and Inglis, J.	Stochastic neural field equations: a rigorous footing	Journal of Mathematical Biology (2015) 71(2): 259-300 doi:10.1007/s00285-014-0807-6	fulltext
Faugeras and Maclaurin 2014a	Faugeras, O. and Maclaurin, J.	Asymptotic description of stochastic neural networks. I. Existence of a large deviation principle	Comptes Rendus Mathematique (2014) 352(10): 841-846 doi:10.1016/j.crma.2014.08.018	fulltext
Faugeras and Maclaurin 2014b	Faugeras, O. and Maclaurin J.	Asymptotic description of stochastic neural networks. II. Characterization of the limit law	Comptes Rendus Mathematique (2014) 352(10): 847-852 doi:10.1016/j.crma.2014.08.017	abstract
Faugeras and MacLaurin 2014c	Faugeras, O. and MacLaurin, J.	A Large Deviation Principle and an Expression of the Rate Function for a Discrete Stationary Gaussian Process	Entropy (2014) 16(12): 6722-6738 doi:10.3390/e16126722	fulltext
Faugeras and Maclaurin 2014d	Faugeras, O. and MacLaurin, J.	A Representation of the Relative Entropy with Respect to a Diffusion Process in Terms of Its Infinitesimal Generator	Entropy (2014) 16(12): 6705-6721 doi:10.3390/e16126705	fulltext
Faye 2012	Faye, G.	Reduction method for studying localized solutions of neural field equations on the Poincaré disk	Comptes Rendus Mathematique (2012) 350(3-4): 161-166 doi:10.1016/j.crma.2012.01.022	abstract, fulltext
Faye and Chossat 2012	Faye, G. and Chossat, P.	Bifurcation Diagrams and Heteroclinic Networks of Octagonal H-Planforms	Journal of Nonlinear Science (2012) 22(3): 277-325 doi:10.1007/s00332-011-9118-x	abstract, fulltext, BibTeX
Faye and Chossat 2013	Faye, G. and Chossat, P.	A spatialized model of textures perception using structure tensor formalism	AIMS Journal on Networks and Heterogeneous Media (2013) 8(1): 211-260 doi:10.3934/nhm.2013.8.211	abstract, (fulltext)
Faye et al. 2011	Faye, G., Chossat, P. and Faugeras, O.	Analysis of a hyperbolic geometric model for visual texture perception	The Journal of Mathematical Neuroscience (2011) 1:4 doi:10.1186/2190-8567-1-4	fulltext, BibTeX
Faye et al. 2012	Faye, G., Rankin, J and Chossat, P.	Localized states in an unbounded neural field equation with smooth firing rate function: a multi-parameter analysis	Journal of Mathematical Biology (2012) : doi:10.1007/s00285-012-0532-y	abstract, fulltext, BibTeX
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
Fiebig and Lansner 2014	Fiebig F. and Lansner A.	Memory Consolidation from Seconds to Weeks: A Three-Stage Neural Network Model with Autonomous Reinstatement Dynamics	Front Comput Neurosci (2014) 8: 64 doi:10.3389/fncom.2014.00064	fulltext
Fournier et al. 2011	Fournier, J., Monier, C., Pananceau, M. and Fregnac, Y.	Adaptation of the simple or complex nature of V1 receptive fields to visual statistics	Nature Neuroscience (2011) 14: 1053-1060 doi:10.1038/nn.2861	abstract, (fulltext)
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
Fournier et al. 2014b	Fournier, J., Monier, C., Marre, O., Levy, M., Sari, K., Kisvarday, Z. and Frégnac, Y	Diversity in the synaptic input of V1 Receptive Fields	The Journal of Neuroscience (2014) in press
Fregnac 2012a	Frégnac, Y.	Reading Out the Synaptic Echoes of Low-Level Perception in V1	Lecture Notes in Computer Science (2012) 7583: 486-495 doi:10.1007/978-3-642-33863-2_50	abstract
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)
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
Gerhard et al 2013	Felipe Gerhard, Tilman Kispersky, Gabrielle J. Gutierrez, Eve Marder, Mark Kramer, Uri Eden	Successful Reconstruction of a Physiological Circuit with Known Connectivity from Spiking Activity Alone	Plos Computational Biology (2013) 9(7): 003138 doi:10.1371/journal.pcbi.1003138	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
Glabskaet al 2015	Glabska, H., Norheim, E., Devor, A., Dale, A.M., Einevoll, G.T. and Wójcik, D.K.	Generalized Laminar Population Analysis (gLPA) for interpretation of multielectrode data from cortex	in press
Gomez-Gonzales et al 2014	Gomez-Gonzales, J.F., Destexhe, A. and Bal, T.	Application of active electrode compensation to perform continuous voltage-clamp recordings with sharp microelectrodes	J. Neural Engineering (2014) 11:056028 doi:10.1088/1741-2560/11/5/056028	abstract
Grassia et al. 2011	Grassia, F., Buhry, L., Levi, T., Tomas, J., Destexhe, A. and Saaghi, S.	Tunable neuromimetic integrated system for emulating cortical neuron models	Front. Neurosci. (2011) 5:134 doi:10.3389/fnins.2011.00134
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
Habenschuss et al. 2013	Habenschuss, S., Puhr, H. and Maass, W.	Emergence of Optimal Decoding of Population Codes Through STDP	Neural Computation (2013) 25(6): 1371-1407 doi:10.1162/NECO_a_00446	abstract, fulltext
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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
Rankin et al. 2013b	Rankin, J., Meso, A. I., Masson, G.S., Faugeras, O. and Kornprobst, P.	Bifurcation study of a neural field competition model with an application to perceptual switching in motion integration	Journal of Computational Neuroscience (2013) September: 1-21 doi:10.1007/s10827-013-0465-5	fulltext
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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
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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
Rostro-Gonzalez et al. 2011	Rostro-Gonzalez, H., Cessac, B., Girau, B. and Torres-Huitzil, C.	The role of the asymptotic dynamics in the design of FPGA-based hardware implementations of gIF-type neural networks	J. Physiol. Paris, (2011) 105:1-3 doi:10.1016/j.jphysparis.2011.09.004	fulltext, BibTeX
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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
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Scholze et al. 2011b	Scholze, S., Schiefer, S., Partzsch, J., Hartmann, S., Mayr, C., Höppner, S., Eisenreich, H., Henker, S., Vogginger, B. and Schüffny, R.	VLSI implementation of a 2.8 Gevent/s packet based AER interface with routing and event sorting functionality	Frontiers in Neuromorphic Engineering (2011) 5:117 doi:10.3389/fnins.2011.00117
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
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
Simoncini et al. 2012	Simoncini, C., Perrinet, L.U., Montagnini, A., Mamassian, P. and Masson G.S.	More is not always better: pooling motion information differently for perception or action	Nature Neuroscience (2012) 15: 1596-1603 doi:10.1038/nn.3229	fulltext
Stefanescu and Jirsa 2011	Stefanescu, R. and Jirsa, V.K.	Reduced representations of heterogeneous mixed neural networks with synaptic coupling	Phys. Rev. E (2011) 83: 026204 doi:10.1103/PhysRevE.83.026204
Takerkart et al. 2014	Takerkart, S., Katz, P., Garcia, F., Roux, S., Reynaud, A. and Chavane, F.	Vobi One: a data processing software package for functional optical imaging.	Front. Neurosci. (2014) 8:2 doi:10.3389/fnins.2014.00002	fulltext
Taouali et al. 2015	Taouali, W., Benvenuti, G., Wallisch, P., Chavane, F. and Perrinet, L. U.	Testing the Odds of Inherent versus Observed Over-dispersion in Neural Spike Counts	Journal of Neurophysiology (2015) doi:10.1152/jn.00194.2015	abstract
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
Torre et al. 2013	Torre E, Picado-Muiño D, Denker M, Borgelt C, Grün S.	Statistical evaluation of synchronous spike patterns extracted by frequent item set mining	Front Comput Neurosci. (2013) 7:132. doi:10.3389/fncom.2013.00132	fulltext
Touboul el al. 2011	Touboul, J., Hermann, G. and Faugeras, O.	Noise-Induced Behaviors in Neural Mean Field Dynamics	SIAM J. Applied Dynamical Systems (2012) 11(1): 49-81 doi:10.1137/110832392	abstract, fulltext, BibTeX
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
Veltz 2011	Veltz, R.	An analytical method for computing Hopf bifurcation curves in neural field networks with space-dependent delays	Comptes Rendus Mathematique (2011) 349:749-752 doi:10.1016/j.crma.2011.06.014	fulltext, BibTeX
Veltz 2013	Veltz, R.	Interplay between constant delays and propagation delays in neural fields equations	SIAM Journal on Applied Dynamical Systems (2013) 12(3): 1566-1612 doi:10.1137/120889253	abstract, (fulltext)
Veltz and Faugeras 2013	Veltz, R. and Faugeras, O.	A Center Manifold Result for Delayed Neural Fields Equations	SIAM J. Math. Anal. (2013) 45(3): 1527-1562 doi:10.1137/110856162	abstract, fulltext
Veltz and Faugeras 2011	Veltz, R. and Faugeras, O.	Stability of the stationary solutions of neural field equations with propagation delays	The Journal of Mathematical Neuroscience (2011) 1:1 doi:10.1186/2190-8567-1-1	abstract, fulltext, BibTeX
Veltz and Faugeras 2014	Veltz, R. and Faugeras, O.	Erratum: A Center Manifold Result for Delayed Neural Fields Equations	SIAM Journal of Mathematical Analysis (In press)
Vlachos et al. 2013	Vlachos A, Helias M, Becker D, Diesmann M, Deller T.	NMDA-receptor inhibition increases spine stability of denervated mouse dentate granule cells and accelerates spine density recovery following entorhinal denervation in vitro	Neurobiol Dis. (2013) ;59:267-76. doi:10.1016/j.nbd.2013.07.018
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
Voges and Perrinet 2012	Voges, N. and Perrinet, L.	Complex dynamics in recurrent cortical networks based on spatially realistic connectivities	Front. Comput. Neurosci. (2012) 6:41 doi:10.3389/fncom.2012.00041	abstract, fulltext
Vogginger et al. 2015	Vogginger, B., Schüffny, R., Lansner, A., Cederström, L., Partzsch, J. and Höppner, S.	Reducing the computational footprint for real-time BCPNN learning	Front. Neurosci. (2015) 9:2 doi:10.3389/fnins.2015.00002	abstract, 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
Zenke and Gerstner 2014	Zenke, F. and Gerstner, W.	Limits to high-speed simulations of spiking neural networks using general-purpose computers	Front. Neuroinform. (2014) 8:76 doi:10.3389/fninf.2014.00076	fulltext
Zenke et al. 2013	Zenke, F., Hennequin, G. and Gerstner, W.	Synaptic Plasticity in Neural Networks Needs Homeostasis with a Fast Rate Detector	PLoS Comput Biol (2013) 9(11): e1003330 doi:10.1371/journal.pcbi.1003330
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
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

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
Einevoll et al. 2013	G.T. Einevoll, C. Kayser, N. Logothetis, and S. Panzeri	Modeling and analysis of local field potentials for studying the function of cortical circuits	Nature Reviews Neuroscience (2013) 14:770-785 doi:10.1038/nrn3599	abstract, (fulltext), BibTeX
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
Gerstner et al. 2012	Gerstner, W., Sprekeler, H. and Deco, G.	Theory and Simulation in Neuroscience (access to fulltext via the researchers website)	Science (2012) 338 (6103): 60-65 doi:10.1126/science.1227356	abstract, (fulltext)

Book chapter

Bedard and Destexhe 2014	Bedard, C. and Destexhe, A.	Local Field Potential: Interaction with the extracellular medium. In: Encyclopedia of Computational Neuroscience	In: Encyclopedia of Computational Neuroscience, Edited by Jaeger D and Jung R. Springer, New York, (2014): 1-10	abstract
Bedard and Destexhe in press	Bedard, C. and Destexhe, A.	Modeling local field potentials and their interaction with the extracellular medium	in: Handbook of Neural Activity Measurement, Edited by Brette, R. and Destexhe, A., Cambridge University Press, Cambridge, UK, ISBN:9780521516228
Cessac and Palacios 2012	Cessac, B. and Palacios, A.	Spike train statistics from empirical facts to theory: the case of the retina	Modeling in Computational Biology and Biomedicine: A Multidisciplinary Endeavor, Springer-Verlag (2012)	fulltext, BibTeX
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 2013	Destexhe, A.	20 Years of "Noise": Contributions of Computational Neuroscience to the Exploration of the Effect of Background Activity on Central Neurons	In: 20 Years of Computational Neuroscience Springer Series in Computational Neuroscience (2013) 9: 167-186 doi:10.1007/978-1-4614-1424-7_8	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
Einevoll et al. 2013b	G.T. Einevoll, H. Linden, T. Tetzlaff, S. Leski, K.H. Pettersen	Local field potential: biophysical origin and analysis	Principles of Neural Coding, pp. 37-59, edited by R. Quian Quiroga and S. Panzeri, CRC Press, 2013
Einevoll et al. 2013d	Einevoll, G., Lindén, H., Tetzlaff, T., Leski, S., and Pettersen, K.	Local field potentials: biophysical origin and analysis	in Quiroga and Panzeri (ed.) Principles of Neural Coding. Taylor & Francis CRC Press (2013): 37-59
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
Lundqvist et al. 2013b	Lundqvist M, Herman P, Lansner A	Attractor Hypothesis of Associative Cortex : Insights from a Biophysically Detailed Network Model	In: Signorelli F, Chirchiglia D, editors. Functional Brain Mapping and the Endeavor to Understand the Working Brain. InTech (2013). pp. 156-179 doi:10.5772/50860
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
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
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

	Vanzetta I, Bermudez MA, Deneux T, Barthelemy F, Masson GS	Interaction of color, motion and contrast in macaque V4 population activity and behavior.	Computational and Systems Neuroscience (Cosyne) 2014, Salt Lake City, USA
Bahuguna2015	Bahuguna, J.	Functional classification of homologous networks in basal-ganglia: a modeling study	2nd International Symposium of the Clinical Research Group 219, Cologne, Germany, 02/26/2015 - 02/28/2015
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
Bakker2013	Bakker, R.	Can we build a 'Google earth' for the brain?	Imaging the brain at different scales: How to integrate multi-scale structural information?, Antwerp, Belgium, 09/02/2013 - 09/06/2013
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
Canova 2013	Canova, C.	Quantification of worm detection	3rd Vision4Action Workshop. Marseille, France (2013)
Chavane 2012	Chavane, F.	Scale dependent input normalization in V1 of the awake monkey: involvement of intra and/or inter-cortical networks.	College of Optometry, State University of New York, NY (USA) (2012
Chavane 2012b	Chavane, F.	Scale dependent input normalization in V1 of the awake monkey	Neurobiology Department, Yale University, New Haven (USA) (2012)
Chavane 2012c	Chavane, F.	Scale dependent input normalization in V1 of the awake monkey: what VSDI population response dynamics tell us...	Center for Neural Science, New York University (USA) (2012)
Chavane 2012d	Chavane, F.	Scale dependent input normalization in V1 of the awake monkey: involvement of intra and/or inter-cortical networks	Netherlands Institute of Neurosciences, Amsterdam (Netherlands) (2012)
Chavane 2013	Chavane, F.	Functional roles of lateral interactions in the visual cortex	Central European University, Budapest (Hongrie) (2013)
Chavane 2013b	Chavane, F.	Dynamics of scale-dependent input normalization in V1 of the awake monkey	European Winter Conference on Brain Research, Brides les Bains (France) (2013)
Chavane 2013c	Chavane, F.	Functional relevance of activity propagation in V1	SIAM Conference on Applications of Dynamical System, Snowbird, Utah (USA) (2013)
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
Davison 2011	Davison, A.	Using PyNN and NineML	Talk at CNS*2011 Workshop: Emerging standards for network modeling
Davison 2013	Davison, A.	Provenance tracking for complex data analysis workflows in neuroscience	10th Göttingen Meeting of the German Neuroscience Society, Göttingen, Germany, March (2013).
Davison 2013b	Davison, A.	PyNN: a simulator-independent platform for large scale, data-driven neuronal simulations	Cosyne workshops, Snowbird, Utah, USA, March (2013)
Deco 2013	Deco, G.	The dynamical structure of brain fluctuations at rest	Organization for the Human Brain Mapping, Seattle, USA (2013)
Deco 2013b	Deco, G.	The link between structure and function in the brain: the resting state	European Conference on Complex Systems, Barcelona, Spain (2013)
Deco 2013c	Deco, G.	The importance of being balanced	Workshop on Advances in neural mass modeling, Computational Neuroscience meeting, Paris, France (2013)
Deco 2014	Deco, G.	Linking the structural and functional human connectome	4th Frontiers in Neuromorphic Computing, Heidelberg, Germany (2014)
Denker 2011	Denker M	Challenges for workflows in complex electrophysiology projects	Short talk at INCF 2011 Datasharing in Electrophysiology Task Force Meeting, Boston
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
Destexhe 2013b	Destexhe, A.	How to reconcile macroscopic brain signals with neuronal unit activity?	Dynamics of Neuronal Systems, Freiburg, Germany. March (2013). (Invited speaker)
Destexhe 2013c	Destexhe, A.	Frequency scaling of human and monkey LFP	Scale-Free Dynamics and Networks in Neurosciences, Montreal, Canada (2013) (Invited speaker)
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,
Einevoll 2013a	Gaute T. Einevoll	How local is the local field potential?	BioQuest 2013, Amritapuri, India, 11.-14.08.2013. Invited
Einevoll 2013b	Gaute T. Einevoll	How do spike correlations affect the measured local field potential (LFP)?	"Network neuroscience: Structure and dynamics". Workshop associated with CNS*2013, Paris 17.-18.07.2013
Einevoll 2013c	Gaute T. Einevoll	How do spike correlations affect the measured cortical local eld potential (LFP)?	BCCN Freiburg Conference: "Dynamics of neuronal systems", Freiburg, 18.-20.03.2013. Invited.
Einevoll 2013d	Gaute T. Einevoll	Modeling what you can measure in the brain with modern multielectrodes	ECMS 2013 European Conference on Modelling and Simulation, NEUROSIM track, Aalesund, 27.-30.05.2013
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
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
Fregnac 2012	Frégnac, Y.	Biological Foundations of neuromorphic computation	International MemCo Workshop: "Memristors for Computing" (2012), Frejus, France. Invited
Fregnac 2012b	Frégnac, Y.	Functional polymorphy of visual cortex : from "crystal" to "smoke".	Keynote speaker in International Workshop on Bioinspired Systems and Prosthetic Devices (Bio-Pro) (2012), Taiwan. Invited.
Fregnac 2012c	Frégnac, Y.	Foundations of Neuromorphic Computation: What Physics and Computer Science can learn from Brain studies	Organized by Labex MS2T (Maîtrise de Systèmes de Systèmes Technologiques) de l'Université de Technologie de Compiègne France (2012). Invited.
Fregnac 2012d	Frégnac, Y.	Calcul Neuromorphique : émergence des principes de liage perceptif de la "Gestalt"	In Modéliser le Cerveau (organized by P. Chauvel, R. Pumain and P. Wending) Réunion d'Hiver de la Société de Neurophysiologie Clinique de Langue Française, (2012) Paris, France. Invited.
Fregnac 2012e	Frégnac, Y.	Reading out the synaptic echoes of low-level perception	International workshop on "Biological and Computer Vision Interfaces" at ECCV (2012), Organized by P. Kronbropst and O. Faugeras, Florence, Italy. Invited.
Fregnac 2012f	Frégnac, Y.	Meso/Micro-scale interactions in cortical visual processing: one step closer to Gestalt	4th Binational Meeting of France-Israel Neuroscience (2012), FINEPS, Aussois. Invited
Fregnac 2012g	Frégnac, Y.	Revisiting the visual cortical receptive field : one step closer to Gestalt.	International Workshop on recent advances in dynamical systems and applications (2012). Org. O. Faugeras and G. Faye. IBRIA, Sophia-Antipolis, Invited.
Fregnac 2013	Fregnac, Y.	Central neurobiological issues in Neuromorphic computation : Noise and Plasticity	CapoCaccia Cognitive Neuromorphic Engineering Workshop, Sardinia (2013) Invited speaker
Fregnac 2013b	Fregnac, Y.	Searching for a fit between the "silent" surround of V1 receptive fields and eye-movements	Symposium: Active Perception: The synergy between perception and action (2013), Organizer: Michele Rucci and Eli Brenner, Boston University and VU University	abstract
Fregnac 2013c	Fregnac, Y.	Multiscale complexity in the visual cortical receptive field.	In International Symposium "Visual Processing Beyond the Classical Receptive Field", Re-He Palace, Chengde city, China. Invited Keynote Conference
Fregnac 2013d	Fregnac, Y.	Synaptic echoes of low-level perception	UESTC (2013), Chengdu, China. Invited Conference.
Fregnac 2013e	Fregnac, Y.	Visions de l'Intérieur : quand l'oeuvre d'art « résonne « avec l'architecture perceptive du Cerveau.	In. Le geste du peintre : matériaux, perception, émotion. Journée d'étude du LAMS. Orgs. P. Walter and JP Changeux. Paris (2013). Invited Conference.
Fregnac 2013f	Fregnac, Y.	Reconstructing low-level perception from synaptic echoes in V1.	In: 4th European Visual Cortex Meeting (2013). St Cross Castle, Sr Kriz Zacretje, Croatie. Invited Conference.
Fregnac 2013g	Fregnac, Y.	Propagation Belief in Visual cortical networks : a possible neural implementation of Gestalt laws.	In "Neuroscience of Cognition, Computation and Decisions" Virginia Tech, Riva San Vitale, Ticino, Switzerland (2013). Invited Conference.
Grün 2012	Grün, S.	Interaction of Spike-Synchrony and the Local Field Potential	Invited Talk, University College London, United Kingdom; 11/29/2012.
Grün 2012b	Grün, S.	Data Driven Analysis of Spatio-Temporal Cortical Interaction	5th INCF Neuroinformatics Congress 2012 ; Munich ; Germany ; 09/10/2012 - 09/12/2012
Grün 2012c	Grün, S.	Worms and Braids	Talk at the 2nd Vision4Action Workshop; INT, CNRS-AMU, Marseille, France; 06/20/2012
Grün 2012d	Grün, S.	Dynamics and Interaction in the Cortical Network	Talk at the 7th Winter School IRTG 1328; RWTH Aachen, Germany; 11/02/2012
Grün 2012e	Grün, S.	Calibration and Testing of Spike Correlation Methods	Talk at the 1st INCF Workshop on Validation of Data-Analysis Methods; Stockholm, Sweden; 6/19/2012
Grün 2013	Grün, S.	Correlation Analysis of Parallel Spike Trains I. + II.	Berkeley Summer Course inMining and Modeling of Neuroscience Data (2013)
Grün 2013b	Grün, S.	Data-driven evaluation of functional correlations in (massively) parallel spike trains	Intern. Workshop on Brain-Inspired Computing. Cetraro, Italy. (2013)
Grün 2013c	Grün, S.	Dynamic Interactive Processing in the Biological Neuronal Network	SFB 917 - Seminar. Aachen, Germany (2013)
Grün 2013d	Grün, S.	Effect of Spike Sorting Errors on Unitary Event Analysis	2nd Vision for Action Workshop. Jülich, Germany (2013)
Grün 2013e	Grün, S.	Frequent Itemset Mining based Detection of Synchronous Spike Events in Massively Parallel Spike Trains	2nd J-G Project Meeting. Kyoto, Japan(2013)
Grün 2013f	Grün, S.	Multi-Channel Spike Correlation Analysis	Tutorial "Statistical Methods", INM Retreat 2013
Grün 2013g	Grün, S.	Spatio-Temporal Scales of Neuronal Interactions	11e Colloque Societe des Neurosciences. Lyon, France (2013)
Grün 2013h	Grün, S.	Statistical Evaluation of Synchronous Spike Patterns extracted by Frequent Item Set Mining	Modeling Neural Activity: Statistics, Dynamical Systems, and Networks. Lihue, Hawaii, USA. (2013)
Grün 2013i	Grün, S.	Statistical Methods for the Analysis of Multi-Channel Spike and LFP Data	Workshop Tools for the Analysis of Functional Data. Paris, France (2013)
Grün 2013j	Grün, S.	Uncovering Spatio-Temporal Cortical Interaction: Current activities, open problems	HBP Data Analysis - Visualization Coordination Meeting. Jülich, Germany (2013)
Grün 2014a	Grün, S.	Statistics and Workflows for the Analysis of Concerted Neuronal Activity During Complex Behavior	Symposium 'Active Vision in Natural Environments'. Osaka Univ, Japan, Dec 12, 2014
Grün 2014e	Grün, S.	Towards reproducible data analysis of massively parallel neuronal data during complex behavior	5th Annual Meeting of the GDR Multielectrods, Gif sur Yvette, France, 10/14/2014 - 10/15/2014
Grün 2014g	Grün, S.	Talk: Statistical methods for detection of assembly activity in massively parallel spike data	AREADNE 2014 - Research in Encoding And Decoding of Neural Ensembles, Nomikos Conference Centre Santorini, Greece
Grün 2015	Grün, S.	Towards Reproducible Analysis of Complex Electrophysiological Experiments	Community Session 'Reproducilibity in the neurosciences'. Univ Goettingen, Goettingen, Germany. March 19, 2015
Grün2013	Grün, S.	Human Brain Project - Scientific goals, Organization, Our role	Wissenswerte, Bremen, Germany, 11/25/2013 - 11/25/2013
Grün2013b	Grün, S.	Spike Synchrony and Spike-LFP Locking in Monkey Primary Visual Cortex during Free Viewing of Natural Scenes	Computational Neuroscience, Paris, France, 07/17/2013 - 07/17/2013
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
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
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
Masson 2012	Masson, G. S.	Optimal encoding of speed information for tracking eye movements	Workshop on "Optimizing performance in dynamics environment" Amsterdam, NL, 2-5 July 2012
Masson 2012b	Masson, G. S.	Speed processing for ocular tracking and motion perception : same or different ?	CESAME, Departement de Neurosciences. Université Catholique de Louvain. Louvain, Belgique, 26 October 2012
Masson 2012c	Masson, G. S.	Behavioral receptive fields and cortical population dynamics.	Departemento de Electronca, Universidad Téchnica Federico Santa Maria, Valparaiso, Chili, 30 October 2012
Masson 2012d	Masson, G. S.	Behavioral receptive fields and cortical population dynamics	Hertie Institute for Brain Research. Tübingen. Germany. December 6th, 2012
Maximov2013	Maximov, A.	Toward a large-scale spiking network model of the rodent barrel cortex	3rd BrainScaleS Plenary Meeting, Marseille, France, 03/21/2013 - 03/22/2013
Meyes and Ito 2014	Meyes, R. and Ito, J.	Effects of Complex Background Sceneson Object Selectivity of Single UnitActivities in the Macaque IT cortex	5th Active Vsion Workshop, Juelich, Germany, 06/11/2014 - 06/13/2014
Meyes and Ito 2014c	Meyes, R. and Ito, J	Active Vision Progress Report - Spiking Activity and Data Suitability	6th Active Vsion Workshop, Osaka, Japan, 12/10/2014 - 12/12/2014
Meyes and Ito 2014d	Meyes, R. and Ito, J	Active Vision Progress Report - Free Viewing on Full Field Grating Stimuli	6th Active Vsion Workshop, Osaka, Japan, 12/10/2014 - 12/12/2014
Monier and Fregnac 2012	Monier, C. and Frégnac, Y.	Multiscale study of the reliability of visually evoked cortical dynamics and its dependency on input statistics	International Symposium on Sensory Coding and Natural Environment 2012, IST, Vienna, Austria (Invited)
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
Perrinet and Bednar 2014	Perrinet, L.U. and Bednar, J.	Sparse Coding Of Natural Images Using A Prior On Edge Co-Occurences.	European Signal Processing Conference 2015 (EUSIPCO 2015), Nice, France, 2015
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
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
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
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.
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
Thanasoulis et al. 2014a	Thanasoulis, V., Vogginger, B., Partzsch, J. and Schüffny, R.	A Pulse Communication Flow Ready for Accelerated Neuromorphic Experiments	ISCAS (2014): 265-268 doi:10.1109/ISCAS.2014.6865116	abstract
Thanasoulis et al. 2014b	Thanasoulis, V., Partzsch, J., Vogginger, B. and Schüffny, R.	Configurable Pulse Routing Architecture for Accelerated Multi-Node Neuromorphic Systems	ICECS (2014): 738-741 doi:10.1109/ICECS.2014.7050091	abstract
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
Wiebelt2012	Wiebelt, B.	Trivial Parallelization in a Neuroscience Laboratory	BrainScaleS Workshop on "Workflow design for complex analyses of multi-electrode electrophysiological data", Marseille, France, 06/21/2012 - 06/22/2012

Conference contribution: poster

	Medathati, K.N.V., Rankin, J., Kornprobst, P. and Masson, G.S.	A retinotopic neural fields model of perceptual switching in 2D motion integration	Annual Bernstein Conference 24-27 september 2013, Tuebingen, Germany
Antolik and Davison 2013b	Antolik, J. and Davison, A.P.	Mozaik: a framework for model construction, simulation, data analysis and visualization for large-scale spiking neural circuit models	Neuroinformatics 2013, Stockholm, Sweden, August (2013) doi:10.3389/conf.fninf.2013.09.00018	abstract
Bachmannet al 2013	Bachmann, C. ; Tetzlaff, T. ; Kunkel, S. ; Bamberger, P. ; Morrison, A.	Computational characteristics of recurrent neural networks under the influence of Alzheimer's disease	10th Göttingen Meeting of the German Neuroscience Society, Göttingen, Germany, 03/13/2013 - 03/16/2013
Bachmannet al 2013b	Bachmann, C., Tetzlaff, T., Kunkel, S., Bamberger, P. and Morrison, A.	Effect of Alzheimer's disease on the dynamical and computational characteristics of recurrent neural networks	22nd Annual Computational Neuroscience Meeting, CNS*2013, Paris, France, 07/13/2013 - 07/18/2013
Bachmannet al 2015	Bachmann, C. ; Tetzlaff, T. ; Kunkel, S. ; Morrison, A.	Effect of Alzheimer disease on the dynamical and computational characteristics of recurrent neural networks	11th Göttingen Meeting of the German Neuroscience Society, Göttingen, Germany, 03/18/2015 - 03/28/2015
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
Benjaminsson and Lansner 2011	Benjaminsson, S. and Lansner, A.	Extreme Scaling of Brain Simulations	Jülich Blue Gene/P Extreme Scaling Workshop 2011, Technical Report FZJ-JSC-IB-2011-02 available from http://www2.fz-juelich.de/jsc/docs/autoren2011/mohr1/
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)
Bogadhi et al. 2011	Bogadhi, A., Montagnini, A. and Masson, G.S.	Dynamical interaction between retinal and extra-retinal signals in motion integration for smooth pursuit	Journal of Vision (2011) 11(11): article 533 doi:10.1167/11.11.533	abstract
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
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
Canova et al. 2015	Canova, C;, Torre, E, Denker, M, Helias, M, Gerstein, G and Grün, S.	Statistical assessment and neuronal composition of active synfire chains	Poster presentation at German Neuroscience Society Meeting (NWG 2015). Göttingen, Germany. Mar. 21, 2015
Chavane et al. 2012a	Chavane, F., Reynaud, A., Montardy, Q. and Masson G. S.	Cortical origin of contextual modulations in motion integration: linking V1 population response to the behavioral ocular following response	Journal of Vision August (2012) 12(9): 758 doi:10.1167/12.9.758	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 2011b	Davison, A.	Collaborative and reproducible simulation and data analysis with Sumatra	Front. Neuroinform. Conference Abstract: 4th INCF Congress of Neuroinformatics doi:10.3389/conf.fninf.2011.08.00079	abstract
Davison 2011c	Davison, A.	Automated tracking of scientific computations	AMP 2011: Reproducible Research-Tools and Strategies for Scientific Computing, Vancouver, Canada, July 2011
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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.
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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
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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
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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
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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)
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Faraji et al. 2015	wrong entry, please delete	wrong entry, please delete	wrong entry, please delete
Galluppi et al. 2012	Galluppi, F., Davies, S., Rast, A., Sharp, T., Plana, L. A. and Furber, S.	A hierachical configuration system for a massively parallel neural hardware platform	CF '12 Proceedings of the 9th conference on Computing Frontiers, Cagliari (2012): 183-192 doi:10.1145/2212908.2212934	abstract, fulltext
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
Grün 2012a	Grün, S.	Data Driven Analysis of Spatio-Temporal Cortical Interaction	GDR 2904 Multi-Electrodes - 3rd Annual Meeting Marseille ; Marseille ; France ; 10/25/2012 - 10/26/2012
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
Habenschuss et al. 2012	Habenschuss, S., Bill, J. and Nessler, B.	Homeostatic plasticity in Bayesian spiking networks as Expectation Maximization with posterior constraints	in Advances in Neural Information Processing Systems 25 (2012): 782-790	abstract, fulltext
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. 2013	Espen Hagen, Maria L Stavrinou, Henrik Linden, Tom Tetzlaff, Sacha J van Albada, David Dahmen, Markus Diesmann, Sonja Gruen, Gaute T Einevoll	Hybrid scheme for modeling LFPs from spiking cortical network models	CNS*2013 in Paris, France, 14.-16.7.2013.BMC Neurosci. 2013; 14(Suppl 1): P119. doi:10.1186/1471-2202-14-S1-P119	fulltext
Hagen et al. 2013b	Espen Hagen, Maria Stavrinou, Henrik Linden, David Dahmen, Tom Tetzlaff, Sasha Van Albada, Sonja Gruen, Markus Diesmann, and Gaute Einevoll	Hybrid scheme for modeling LFPs from spiking cortical network models	6th INCF Congress of Neuroinformatics, Stockholm, Sweden, 27.-29.08.2013.
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 and Plesser 2013	Thomas Heiberg and Hans E Plesser	A pythonic workflow for automated large-scale parameter scans.	Frontiers in Neuroinformatics. Conference Abstract: Neuroinformatics 2013, page 190, Stockholm, 2013.	abstract
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
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
Hjertholm et al 2013	Daniel Hjertholm, Birgit Kriener and Hans E Plesser	Python test suite for statistical properties of probabilistic networks with and without spatial structure	Frontiers in Neuroinformatics. Conference Abstract: Neuroinformatics 2013, page P79, Stockholm, 2013	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
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
Kisvarday and Uddin 2013	Kisvarday, Z. and Uddin, T.	An approach to increase the yield of physiologically characterized and intracellularly labeled neurons in cortical areas exposed for intrinsic signal optical imaging in the primary visual cortex of the cat	Poster Presented at the XIV Annual Conference of the Hungarian Neuroscience Society, Budapest, HU (2013)	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
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
Lansner 2011	Lansner A	Perceptual and memory functions in a cortexinspired attractor network model	BMC Neuroscience (2011), 12(Suppl 1):K2	abstract
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
Linden et al. 2014a	Lindén, H. and Tetzlaff, T.	Conditions for fluctuation-driven attractor states and the role of inhibition	10th Bernstein Conference 2014, Goettingen, Goettingen, Germany, 09/02/2014 - 09/05/2014 doi:10.12751/nncn.bc2014.0274	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
Meso et al. 2013	Meso, A., Rankin, J., Kornprobst, P. and Masson, G.S.	Multi-stability in motion perception combines multiple underlying neural mechanisms	CoSyne meeting. 1-4 March 2013, Salt-Lake City, USA.
Meyes and Ito 2014b	Meyes, R. and Ito, J.	Effects of Complex Background Sceneson Object Selectivity of Single Unit Activities in the Macaque IT cortex	5th Active Vsion Workshop, Juelich, Germany, 06/11/2014 - 06/13/2014
Millner et al. 2012	Millner, S., Hartel, A., Schemmel, J. and Meier, K.	Towards biologically realistic multi-compartment neuron model emulation in analog VLSI	ESANN 2012 proceedings, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Bruges (Belgium), 25-27 April 2012	fulltext
Montagnini et al. 2012	Montagnini, A., Bogadhi, A. R. and Masson, G. S.	(2012) Dynamical integration of retinal and extra-retinal signals for smooth pursuit eye movements : a two stage bayesian model	Perception, ECVP Abstracts September 2012
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
Partzsch et al. 2012	Partzsch, J. and Mayr, C. and Schiefer, S. and Hartmann, S. and Scholze, S. and Schüffny, R.	Highly Integrated Packet-Based Communication in a Neuromorphic Wafer System	University Booth at DATE (Design, Automation and Test in Europe) 2012
Partzsch et al. 2013	Partzsch, J., Mayr, C., Vogginger, B., Schueffny, R., Rast, A., Plana, L., Furber, S.	Live Demonstration: Ethernet Communication Linking Two Large-Scale Neuromorphic Systems	European Conference on Circuit Theory and Design (2013) doi:10.1109/ECCTD.2013.6662196
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Pfeil el al. 2013	Pfeil, T., Scherzer, A.-C., Schemmel, J. and Meier, K.	Neuromorphic learning towards nano second precision	Neural Networks (IJCNN), The 2013 International Joint Conference on (2013): 1-5 doi:10.1109/IJCNN.2013.6706828	abstract, fulltext
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
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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
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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
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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
Setareh et al. 2014	Setareh, Hesam; Deger, Moritz; Gerstner, Wulfram	The role of interconnected hub neurons in cortical dynamics	CNS 2014, Quebec City, Canada, July 26-31, 2014	fulltext
Setareh et al. 2015	Setareh Hesam, Deger Moritz, Gerstner Wulfram	Synaptic efficacy tunes speed of activity propagation through chains of bistable neural assemblies	COSYNE 2015, Salt Lake City, March 5-10, 2015	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
Strokovet al 2013	Strokov, S. ; Ito, J. ; Tamura, H. ; Grün, S.	Spatio-temporal modulations of object selectivity in the inferior temporal cortex	Bernstein Conference 2013, Tübingen, Germany, 09/25/2013 - 09/27/2013
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.
Teeters et al. 2013	Teeters, J.L., Benda, J., Davison, A.P., Eglen, S., Gerhard, S., Gerkin, R.C., Grewe, J., Harris, K., Jackson, T., Moucek, R., Pröpper, R., Sessions, H.L., Smith, L.S., Sobolev, A., Sommer, F.T., Stoewer, A. and Wachtler, T.	Considerations for developing a standard for storing electrophysiology data in HDF5	Neuroinformatics 2013, Stockholm, Sweden, 27 Aug - 29 Aug, (2013) doi:10.3389/conf.fninf.2013.09.00069	abstract
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
Thanasoulis 2012a	Thanasoulis, V., Partzsch, J., Hartmann, S., Mayr, C. and Schüffny, R.	Dedicated FPGA Communication Architecture and Design for a Large-Scale Neuromorphic System	9th IEEE International Conference on Electronics, Circuits, and Systems 2012
Thanasoulis 2012b	Thanasoulis, V., Partzsch, J., Hartmann, S., Mayr, C. and Schüffny, R.	Long-Term Pulse Stimulation and Recording in an Accelerated Neuromorphic System	9th IEEE International Conference on Electronics, Circuits, and Systems 2012
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. 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
Uddin et al. 2013	Uddin, T., Monier, C., Fregnac, Y. and Kisvarday, Z.	Input-output constellation of neurons at pinwheel-centers in cat primary visual cortex	Poster Presented at the XIV Annual Conference of the Hungarian Neuroscience Society, Budapest, HU (2013)	abstract
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
Varga and Kisvarday 2013	Varga, R. and Kisvarday, Z.	Distribution of 'feed-back' synapses int the cat's primary visual cortex	XVIII. Hungarian Vision Symposium, Pécs (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
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

Web publication (reviewed)

Destexhe and Bedard 2013

Destexhe, A. and Bedard, C.

Local field potential

Alain Destexhe and Claude Bedard (2013), Scholarpedia, 8(8):10713 doi:10.4249/scholarpedia.10713

fulltext

PhD Thesis

Arduin 2011	Arduin, P.-J.	Operant conditionning of neurons in the rat motor cortex for a graded control of a prosthetic device	Ph. D. thesis (2011)
Baladron Pezoa 2013	Baladron Pezoa, J.	Exploring the neural codes using parallel hardware	PhD Thesis, Universite Nice Sophia Antipolis (2013)	abstract, fulltext
Benjaminsson 2013	Benjaminsson, Simon	On large-scale neural simulations and applications in neuroinformatics	PhD thesis, KTH Royal Institute of Technology (2013), Trita-CSC-A, ISSN 1653-5723; 2013:06
Boubenec 2012	Boubenec, Y.	Tactile information collection in the rat: biomecanics of the vibrissa and exploration strategy	PhD thesis (2012)
Brigham 2015	Brigham, M.	Non-Stationary Stochastic Dynamics of Neuronal Membranes	PhD thesis (2015)
Estebanez 2011	Estebanez, L.	Cracterization of sensory processings in the barrel cortex of the anesthetized rat	Ph. D. thesis (2011)
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
Faye 2012b	Faye, G.	Symmetry breaking and pattern formation in some neural field equations	PhD Thesis, Universite Nice Sophia Antipolis, June 2012	abstract, fulltext, BibTeX
Galtier 2011	Mathieu Galtier	A mathematical approach to unsupervised learning in recurrent neural networks	PhD thesis	fulltext, BibTeX
Gerhard 2014	Gerhard, Felipe	Statistical models of effective connectivity in neural microcircuits	EPFL PhD Thesis	fulltext
Habenschuss 2013	Stefan Habenschuss	Theoretical Analysis of Stochastic Computations and Learning in Networks of Spiking Neurons	PhD Thesis, Graz University of Technology (2013)	abstract
Hahn 2013	Hahn, G.	Neuronal activity propagation in the brain: from neuronal avalanches to synfire chains and gamma oscillations	Ecole Doctorale of Polytechnique (EDX) and University Paris VI (ED3C) (scientific adviser Y. Frégnac) (2013)
Hennequin 2013	Hennequin Guillaume	Stability and amplification in plastic cortical circuits	EPFL PhD Thesis	fulltext
Hermann 2012	Geoffroy Hermann	Some mean field equations in neuroscience	PhD thesis	fulltext, BibTeX
Hock 2014	Hock, M.	Modern Semiconductor Technologies for Neuromorphic Hardware	PhD thesis (2014) at the University of Heidelberg	fulltext
Jeltsch 2014	Jeltsch, S.	A Scalable Workflow for a Configurable Neuromorphic Platform	PhD thesis (2014) at the University of Heidelberg	fulltext
Jonke 2013	Jonke, Z.	Stochastic Computations and Learning in Networks of Spiking Neurons: Simulation framework, Analysis and Theory	PhD Thesis, Graz University of Technology (2013)	abstract
Lundqvist 2013	Lundqvist, Mikael	Oscillations and spike statistics in biophysical attractor networks	PhD thesis, KTH Royal Institute of Technology (2013), ISBN 978-91-7447-756-6
Müller 2014	Müller, E.	Novel Operation Modes of Accelerated Neuromorphic Hardware	PhD Thesis (2014) at the University of Heidelberg	fulltext
Mensi 2014	Mensi Skander	A new Mathematical Framework to Understand Single Neuron Computations	EPFL PhD Thesis	fulltext
Millner 2012	Sebastian Millner	Development of a Multi-Compartment Neuron Model Emulation	Dissertation(2012)	abstract, fulltext, BibTeX
Naud 2011	Naud Richard	The Dynamics of Adapting Neurons	EPFL PhD Thesis	fulltext
Partzsch 2014	Partzsch, J.	Analyse- und Entwurfsmethoden für Verbindungsarchitekturen neuromorpher Systeme	PhD thesis (2014) at Technische Universität Dresden
Veltz 2011b	Romain Veltz	Nonlinear analysis methods in neural field models	PhD, Univ Paris Est ED MSTIC	abstract, BibTeX
Yousaf 2013	Muhammad Yousaf	Two population neural field models	PhD thesis, Norwegian University of Life Sciences (2013)
Zenke 2014	Zenke Friedemann	Memory formation and recall in recurrent spiking neural networks	EPFL PhD Thesis	fulltext

Master/Diploma Thesis

Bytschok 2011	Bytschok, I.	From Shared Input to correlated Neuron Dynamics: Development of a Predictive Framework	Diploma thesis (2011)	abstract, fulltext
Canova 2014	Canova, C.	Statistical Assessment and Neuronal Composition of Active Synfire Chains	Diploma Thesis, Univ Tübingen	abstract
Franovic 2013	Franovic, Tin	Cortex Inspired Network Architectures For Spatio-Temporal Information Processing	Master thesis, KTH Royal Institute of Technology (2013), URI:urn:nbn:se:kth:diva-129758
Grabuschnig 2014	S. Grabuschnig	The role of inhibitory networks in the self-organization of cortical microcircuits.	Master Thesis 2014 Graz University of Technology	abstract, fulltext
Griesbacher 2013	Griesbacher, Gernot	Structure and Self Organization in Spiking Neural Networks	Master Thesis, Graz University of Technology (2013)
Hjertholm 2013	Daniel Hjertholm	Statistical tests for connection algorithms for structured neural networks	Master Thesis (2013) Norwegian University of Life Sciences	fulltext
Hofer 2014	F. Hofer	Computational Properties of L5 Pyramidal Cells	Master Thesis 2014 Graz University of Technology	abstract
Hubner 2013	Hubner, Florian	Development of an interface for fast read out of high-resolution two-photon images	Master Thesis, Graz University of Technology (2013)
Jordan 2013	Jordan, Jakob	Deterministic recurrent networks as a source of uncorrelated noise for functional neural systems	Master thesis (2013) Fakultat fur Physik, Ludwig-Maximilians-Universitat Munchen
Kononov 2011	Kononov, A.	Testing of an Analog Neuromorphic Network Chip	Diploma thesis (2011)	abstract, fulltext
Krishnan 2014	Jeyashree Krishnan	Detection of threshold crossings in the leaky integrate-and-fire neuron model with alpha-shaped postsynaptic currents in time-driven simulations	Krishnan 2014 Master Thesis Juelich INM-6
Kuruvilla 2011	Kuruvilla, R.	Entwicklung und Aufbau einer anwenderfreundlichen Hardwareumgebung für ein neuromorphes Chipsystem (in German)	Diploma thesis (2011)	abstract, fulltext
Lengl 2014	Leng, L.	Deep Learning Architectures for Neuromorphic Hardware	Mater thesis at University of Heidelberg (2014)	abstract
Schmidt 2014	Schmidt, D.	Automated Characterization of a Wafer-Scale Neuromorphic Hardware System	Master thesis at University of Heidelberg (2014)	fulltext
Torralba 2013	Torralba, Jonathan	Network implementation for a sequential decision making task	Master Thesis, Pompeu Fabra University (2013)
Zerlaut 2011	Zerlaut, Y.	Transfer Functions of Neurons and Macroscopic Modelling of Network States	Master Thesis (2011)

Bachelor Thesis

Beuttenmüller 2014	Beuttenmüller, F.	Interfacing a Neuronal Accelerator to a High Performance Computing System	Bachelor thesis at University of Heidelberg	abstract, fulltext
Billaudelle 2014	Billaudelle, S.	Characterisation and Calibration of Short Term Plasticity on a Neuromorphic Hardware Chip	Bachelor thesis at University of Heidelberg (2014)	abstract, fulltext
Denne 2014	Denne, M.	Testen der Software und Vermessen des Multi-Compartment Chips	Bachelor thesis at University of Heidelberg (2014)	abstract, fulltext
Friedrich 2015	Friedrich, A.	Charakterisierung von Adaption auf neuromorpher Hardware	Bachelor thesis at University of Heidelberg (2015)	abstract, fulltext
Hüll 2014	Hüll, S.	Testen eines Floating-Gate Analogspeichers in 65nm Single-Poly Technologie	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
Hinrichs 2014	Hinrichs, D.	Software Development in the Context of Dendrite Membrane Simulation	Bachelor thesis at University of Heidelberg (2014)	abstract, fulltext
Hornschild 2014	Hornschild, A.	Neural computation with stochastic synapses	Bachelor thesis (2013) at RWTH Aachen University and Forschungszentrum Juelich GmbH
Ilmberger 2014	Ilmberger, J.	Development of a multichannel voltage generation unit with sub-microvolt precision	Bachelor thesis at University of Heidelberg (2014)	abstract
Kiene 2014	Kiene, G.	Evaluating the Synaptic Input of a Neuromorphic Circuit	Bachelor thesis at University of Heidelberg (2014)	abstract, fulltext
Kriener 2014	Kriener, L.	Binaural Sound Localization on Neuromorphic Hardware	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
Faugeras and MacLaurin 2013	Faugeras, O. and MacLaurin, J.	A large deviation principle for networks of rate neurons with correlated synaptic weights	Technical Report, INRIA, also on arXiv: http://arxiv.org/abs/1302.1029	fulltext, BibTeX
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
Veltz and Sejnowski 2014	Veltz, R. and Sejnowski, T.J.	Periodic forcing of stabilized E-I networks: Nonlinear resonance curves and dynamics	Research report, INRIA Sophia Antipolis (2014):hal-01096590	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
	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
Bachmannet al. 2014	Bachmann, C., Tetzlaff, T., Kunkel, S. and Morrison, A.	Effect of Alzheimer's disease on the dynamical and computational characteristics of recurrent neural networks	INM Retreat 2014, Juelich, Germany, 01/07/2014 - 02/07/2014
Bedard and Destexhe 2013b	Bedard, C. and Destexhe, A.	Letter to the editor: ELECTRIC MONOPOLES ARE INDEED COMPATIBLE WITH MAXWELL EQUATIONS	JN Physiol (2013) 109(6): 1683 doi:10.1152/jn.01095.2012	fulltext
Canova 2013b	Canova, C.	Detecting Activity Propagation in Massively Parallel Spike Trains	Invited talk at Brain Institute (INSCER), Porto Alegre, Brazil. Dec. 17, 2013
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
Fregnac 2013h	Fregnac, Y.	Les enjeux de la modélisation du cerveau: des neurosciences cognitives aux calculateurs inspirés du vivant.	Invites conférence Grand Public dans le cadre des Découvrades Toulouse (2013)
Grün 2014	Grün, S.	Obtaining and analyzing massively parallel spike data in relation to behavior	4th BrainScaleS plenary meeting, Manchester, Grossbritannien,
Grün 2014b	Grün, S.	Talk: Spike Synchrony: From Cross-Correlations to Higher Order Analysis Methods	SPP 1665 Analytical Workshop: Analysis and Management of Electrophysiological Activity Data, Juelich, 24.-27.11.2014
Grün 2014c	Grün, S.	Accessing the spatio-temporal organization of cortical activity during complex behavior	Department of Psychology and Neuroscience, Maastricht Univ, NL (2014)
Grün 2014d	Grün, S.	Statistical methods for detection of assembly activity in massively parallel spike data	Workshop at the Carnegie Mellon University,Pittsburgh, USA, 07/24/2014 -
Grün 2014f	Grün, S.	Talk: Detection of assembly activity in massively parallel spike data: Workflow and statistics	BCCN Heidelberg-Mannheim, Heidelberg, Germany (2014)
Grün 2014h	Grün, S.	Spatio-temporal organization of cortical processing during complex behavior	Center for Information and Neural Networks, Osaka University, Japan (2014)
Grün 2014i	Grün, S.	Accessing the spatio-temporal organization of cortical activity during complex behavior	RIKEN BSI, Wako-Shi, Japan (2014)
Grün 2014j	Grün, S.	Talk: Accessing the spatio-temporal organization of cortical activity during complex behavior	Hertie Institute for Clinical Brain Research, Tübingen, Germany (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
Meier 2012	Meier, K.	Neurone & Co. - Imitieren mit Silizium	Spektrum der Wissenschaft September (2012): 92-99	abstract
Plesser and Enger 2013	Hans E Plesser and Haakon Enger	NEST Topology User Manual Version 2.2	NEST Topology User Manual (2013)	fulltext
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 2014	van Albada, S.	Microcircuit model of early sensory cortex - Porting to the Hybrid Multiscale Facility (HMF)	4th BrainScaleS Plenary Meeting, Manchester, UK, 03/20/2014 - 03/21/2014
van Albada 2014b	Van Albada, S.	Multi-Area Model of Macaque Visual Cortex & Scaling Asynchronous Networks with Attention to Covariances	The University of Sydney, Australia, 09/23/2014
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 and Rowley 2014	van Albada, S. and Rowley, A.	BrainScaleS Demo 1.1 - Microcircuit model of early sensory cortex. Status update	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

		Analoger Chip "Spikey" simuliert Gehirn (article in German)	www.pressetext.com website (2012)	fulltext
		Neurocomputer: Chip Spikey arbeitet wie ein menschliches Gehirn (article in German)	www.new-scientist.de (2012)	fulltext
	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
	Dambeck, H.	Hardware mit Hirn	Technology Review (2012) 1: 34-39

Press release

Computer suchen ihre Nachfolger (German language joint press release JUELICH and UHEI)

Juelich website, September 2011

fulltext