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148 publication entries, 105 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
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
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
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
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
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)
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 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
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 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
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
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
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
Helias et al. 2012	Helias, M., Kunkel, S., Masumoto, G., Igarashi, J., Eppler, J. M., Ishii, S., Fukai, T., Morrison, A. and Diesmann, M.	Supercomputers ready for use as discovery machines for neuroscience	Front. Neuroinform. (2012) 6:26 doi:10.3389/fninf.2012.00026	fulltext
Henker et al. 2012	Henker, S., Partzsch, J. and Schüffny, R.	Accuracy evaluation of numerical methods used in state-of-the-art simulators for spiking neural networks	Journal of Computational Neuroscience (2012) 32(2): 309-326 doi:10.1007/s10827-011-0353-9	fulltext
Hermann Touboul 2012	Hermann, G. and Touboul, J.	Heterogeneous Connections Induce Oscillations in Large-Scale Networks	Phys. Rev. Lett. (2012) 109: 018702 doi:10.1103/PhysRevLett.109.018702	(fulltext)
Indiveri et al. 2011	Indiveri, G., Linares-Barranco, B., Hamilton, T. J., van Schaik, A., Etienne-Cummings, R., Delbruck, T., Liu, S.-C., Dudek, P., Häfliger, P., Renaud, S., Schemmel, J., Cauwenberghs, G., Arthur, J., Hynna, K., Folowosele, F., Saïghi, S., Serrano-Gotarredona, T., Wijekoon, J., Wang, Y. and Boahen, K.	Neuromorphic silicon neuron circuits	Front. Neurosci. (2011) 5:73 doi:10.3389/fnins.2011.00073	fulltext
Ito et al. 2014	Ito, J., Roy, S., Liu, Y., Cao, Y., Fletcher, M., Lu, L., Boughter, J. D., Grün, S. and Heck, H.	Whisker barrel cortex delta oscillations and gamma power in the awake mouse are linked to respiration	Nature Communications (2014) 5: 3572 doi:10.1038/ncomms4572	fulltext
Kooijmans et al. 2014	Kooijmans, R.N., Self,M.W., Wouterlood,F.G., Beliën, J.A.M. and Roelfsema P.R.	Inhibitory Interneuron Classes Express Complementary AMPA-Receptor Patterns in Macaque Primary Visual Cortex	The Journal of Neuroscience (2014) 34(18): 6303-6315 doi:10.1523/JNEUROSCI.3188-13.2014	fulltext
Kunkel et al. 2011b	Kunkel, S., Potjans, T.C., Eppler, J.M., Plesser, H.E., Morrison, A. and Diesmann, M.	Meeting the memory challenges of brain-scale network simulation	Front. Neuroinform. (2011) 5:35 doi:10.3389/fninf.2011.00035	abstract
Kunkel et al. 2014	Kunkel, S., Schmidt, M., Eppler, J.M., Plesser, H.E., Masumoto, G., Igarashi, J., Ishii, S., Fukai, T., Morrison, A., Diesmann, M. and Helias, M.	Spiking network simulation code for petascale computers	Front. Neuroinform. (2014) 8:78 doi:10.3389/fninf.2014.00078	abstract, fulltext
LeCam et al 2011	Le Cam, J., Estebanez, L., Jacob, V. and Shulz, D.E.	The spatial structure of multi-whisker receptive fields in the barrel cortex is stimulus-dependent.	J. Neurophysiol (2011) 106(2):986-98 doi:10.1152/jn.00044.2011.
Levy et al. 2013	Levy, M., Fournier, J. and Frégnac, Y.	The role of delayed suppression during fast and slow contrast adaptation in V1 Simple cells	The Journal of Neuroscience (2013) 33(15): 6388-6400 doi:10.1523/JNEUROSCI.3609-12.2013	abstract, fulltext
Markram et al. 2011	Markram, H., Gerstner, W. and Sjoestoem, P.J.	A history of spike-timing-dependent plasticity	Front. Syn. Neurosci. (2011) 3:4 doi:10.3389/fnsyn.2011.00004	abstract, fulltext
Mayrhofer et al. 2013	Mayrhofer, J.M., Skreb, V., von der Behrens, W., Musall, S., Weber, B. and Haiss, F.	Novel two-alternative forced choice paradigm for bilateral vibrotactile whisker frequency discrimination in head-fixed mice and rats	AJP - JN Physiol (2013) 109(1): 273-284 doi:10.1152/jn.00488.2012	abstract, (fulltext)
Musall et al. 2014	Musall, S., von der Behrens, W., Mayrhofer, J.M., Weber ,B., Helmchen, F. and Haiss F.	Tactile frequency discrimination is enhanced by circumventing neocortical adaptation	Nature Neuroscience (2014) 17(11): 1567-1573 doi:10.1038/nn.3821	abstract, (fulltext)
Naude et al. 2013	Naude, J., Cessac, B., Berry, H. and Delord, B.	Effects of Cellular Homeostatic Intrinsic Plasticity on Dynamical and Computational Properties of Biological Recurrent Neural Networks	The Journal of Neuroscience (2013) 33(38):15032-15043 doi:10.1523/JNEUROSCI.0870-13.2013	fulltext
Navaridasa et al. 2013	Navaridasa, J., Furbera, S., Garsidea, J., Jinb, X., Khanc, M., Lestera, D., Lujã¡na, M., Miguel-Alonsod, J., Painkrasa, E., Pattersona, C., Planaa, L. A., Rasta, A., Richardsa, D., Shib, Y., Templea, S., Wue, J. and Yangf, S.	SpiNNaker: Fault tolerance in a power- and area- constrained large-scale neuromimetic architecture	Parallel Computing (2013) 39(11): 693-708 doi:10.1016/j.parco.2013.09.001	fulltext
Partzsch 2011	Partzsch, J. and Schüffny, R.	Analysing the Scaling of Connectivity in Neuromorphic Hardware and in Models of Neural Networks	IEEE Transactions on Neural Networks (2011) 22(6):919-935 doi:10.1109/TNN.2011.2134109
Partzsch and Schüffny 2012	Partzsch, J. and Schüffny, R.	Developing structural constraints on connectivity for biologically embedded neural networks	Biological Cybernetics (2012) 106(3): 191-200 doi:10.1007/s00422-012-0489-3	abstract, fulltext
Perrinet and Bednar 2015	Perrinet, L.U., Bednar, J.A.	Edge co-occurrences can account for rapid categorization of natural versus animal images	Scientific Reports (2015) 5: 11400 doi:10.1038/srep11400	fulltext
Perrinet et al. 2014	Perrinet, L.U., Adams, R.A. and Friston, K.J.	Active inference, eye movements and oculomotor delays	in Biological Cybernetics (2014) 108(6):777-801 doi:10.1007/s00422-014-0620-8	fulltext, BibTeX
Petrovici et al. 2014	Petrovici, M. A., Vogginger, B., Müller, P., Breitwieser, O., Lundqvist, M., Muller, L., Ehrlich, M., Destexhe, A., Lansner, A., Schüffny, R., Schemmel, J. and Meier, K.	Characterization and Compensation of Network-Level Anomalies in Mixed-Signal Neuromorphic Modeling Platforms	PLoS ONE (2014) 9(10): e108590 doi:10.1371/journal.pone.0108590	abstract
Peyrache et al. 2012	Peyrache, A., Dehghani, N., Eskandar, E.N., Madsen, J.R., Anderson, W.S., Donoghue, J.S., Hochberg, L.R., Halgren, E., Cash, S.S., and Destexhe, A.	Spatiotemporal dynamics of neocortical excitation and inhibition during human sleep	PNAS (2012) 109 (5): 1731-1736 doi:10.1073/pnas.1109895109	abstract, fulltext
Pfeil et al. 2012	Pfeil, T., Grübl, A., Jeltsch, S., Müller, E., Müller, P., Petrovici, M., Schmuker, M., Brüderle, D., Schemmel, J. and Meier, K.	Six networks on a universal neuromorphic computing substrate	Front. Neurosci. (2013) 7:11 (Pre-print: http://arxiv.org/abs/1210.7083) doi:10.3389/fnins.2013.00011	abstract
Pfeil et al. 2012b	Pfeil, T., Potjans, T. C., Schrader, S., Potjans, W., Schemmel, J., Diesmann, M. and Meier, K.	Is a 4-bit synaptic weight resolution enough? - constraints on enabling spike-timing dependent plasticity in neuromorphic hardware	Front. Neurosci. (2012) 6:90 doi:10.3389/fnins.2012.00090	abstract, fulltext
Pinotsis et al. 2013	Pinotsis, D.A., Hansen, E., Friston, K.J. and Jirsa, V.K.	Anatomical connectivity and the resting state activity of large cortical networks	Neuroimage (2013) 65:127-38 doi:10.1016/j.neuroimage.2012.10.016	abstract, (fulltext)
Poort et al. 2012	Poort, J., Raudies, F., Wannig, A., Lamme, V.A.F., Neumann, H. and Roelfsema, P.R.	The role of attention in figure-ground segregation in areas V1 and V4 of the visual cortex.	Neuron (2012) 75: 143-156 doi:10.1016/j.neuron.2012.04.032	abstract, (fulltext)
Probst et al. 2015	Probst, D., Petrovici, M. A., Bytschok, I., Bill, J., Pecevski, D., Schemmel, J. and Meier, K.	Probabilistic inference in discrete spaces can be implemented into networks of LIF neurons	Front. Comput. Neurosci. (2015) 9:13 doi:10.3389/fncom.2015.00013	fulltext
Rankin et al. 2012	Rankin, J., Tlapale, E., Veltz, R., Faugeras, O. and Kornprobst, P.	Bifurcation analysis applied to a model of motion integration with a multistable stimulus	Journal of Computational Neuroscience (2013) 34(1): 103-124 doi:10.1007/s10827-012-0409-5	fulltext, BibTeX
Rankin et al. 2013a	Rankin, J., Tlapale, E., Veltz, R., Faugeras, O. and Kornprobst, P.	Bifurcation analysis applied to a model of motion integration with a multistable stimulus	Journal of Computational Neuroscience (2013) 34(1): 103-124 doi:10.1007/s10827-012-0409-5	fulltext
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
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
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
Scholze et al. 2011	Scholze, S., Eisenreich, H., Höppner, S., Ellguth, G., Henker, S., Ander, M., Hänzsche, S., Partzsch, J., Mayr, C. and Schüffny, R.	A 32 GBit/s communication SoC for a waferscale neuromorphic system	Integration, the VLSI Journal (Elsevier) (2011) 45(1): 61-75, doi:10.1016/j.vlsi.2011.05.003
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
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
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
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
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
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 et al. 2015	Zenke, F., Agnes, E.J. and Gerstner, W.	Diverse synaptic plasticity mechanisms orchestrated to form and retrieve memories in spiking neural networks	Nature Communications (2015) 6: 6922 doi:10.1038/ncomms7922	fulltext

Review

Crook et al. 2012

Crook, S. M., Bednar, J. A., Berger, S., Cannon, R., Davison, A. P., Djurfeldt, M., Eppler, J., Kriener, B., Furber, S., Graham, B., Plesser, H. E., Schwabe, L., Smith, L., Steuber, V. and van Albada, S.

Creating, documenting and sharing network models

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

abstract, fulltext

Conference contribution: talk

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
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
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
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. 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
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

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
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
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
Davison et al. 2013	Davison, A.P., Djurfeldt, M., Eppler, J.M., Gleeson, P., Hull, M. and Muller, E.B.	An integration layer for neural simulation: PyNN in the software forest	Neuroinformatics 2013, Stockholm, Sweden, August (2013). doi:10.3389/conf.fninf.2013.09.00020	abstract
Dehghani et al. 2011	Dehghani, N., Peyrache, A., Eskandar, E., Madsen, J., Anderson, W., Donoghue, J., Halgren, E., Destexhe, A. and Cash, S.	Relationship between excitatory and inhibitory neuronal activity and local field potentials during human sleep.	Soc Neurosci Abstracts 37: 451.05
Eppler et al. 2011	Eppler, J.M., Kunkel, S., Plesser, H.E., Gewaltig, M.-O., Morrison, A. and Diesmann, M.	NEST: An efficient simulator for spiking neural network models	Poster at the Ninth Göttingen Meeting of the German Neuroscience Society 2011: T27-9B	abstract
Eppler et al. 2011b	Eppler, J.M., Enger, H., Heiberg, T., Kriener, B., Plesser, H.E., Diesmann, M. and Djurfeldt, M.	Evaluating the Connection-Set Algebra for the neural simulator NEST	Poster at the 4th INCF Congress of Neuroinformatics, Boston, USA doi:10.3389/conf.fninf.2011.08.00085	abstract
Eppler et al. 2012	Eppler, J. M., Djurfeldt, M., Muller, E., Diesmann, M. and Davison, A.	Combining simulator independent network descriptions with run-time interoperability based on PyNN and MUSIC	In Conference Abstract: 5th INCF Congress of Neuroinformatics, Front. Neuroinform. (2012)
EpplerM et al 2013	Eppler, J. M. ; Kunkel, S. ; Helias, M. ; Zaytsev, Y. ; Plesser, H. E. ; Gewaltig, M.-O. ; Morrison, A. ; Diesmann, M.	20 years of NEST: a mature brain simulator	INM Retreat 2013, Jülich, Germany, 07/02/2013 - 07/03/2013
EpplerM et al. 2012	Eppler, J. M. ; Wiebelt, B. ; Zaytsev, Y. ; Diesmann, M.	The NEST software development infrastructure	INM Retreat 2012, Jülich, Germany, 07/03/2012 - 07/04/2012
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
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
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
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
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. 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
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
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
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
Peyrache et al. 2011b	Peyrache, A., Dehghani, N., Eskandar, E., Madsen, J., Anderson, W., Donoghue, J., Halgren, E., Cash, S.S. and Destexhe, A.	Spatio-temporal dynamics of neocortical excitation and inhibition during human sleep.	Soc Neurosci Abstracts 36: 451.06
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
Rast et al. 2013a	Rast, A., Partzsch, J., Mayr, C., Schemmel, J., Hartmann, S., Plana, L., Temple, S., Lester, D., Schüffny, R. and Furber, S.	A location-independent direct link neuromorphic interface	Neural Networks, International Joint Conference on, 2013, Dallas, TX, USA
schiefer11	Schiefer, S., Hartmann, S., Scholze, S., Partzsch, J., Mayr, C., Henker, S. and Schüffny, R.	Live Demonstration: Packet-Based AER with 3 GEvent/s Cumulative Throughput	IEEE International Symposium on Circuits and Systems ISCAS 2011, p. 1988
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
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
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
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
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
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

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
Partzsch 2014	Partzsch, J.	Analyse- und Entwurfsmethoden für Verbindungsarchitekturen neuromorpher Systeme	PhD thesis (2014) at Technische Universität Dresden

Bachelor Thesis

Ilmberger 2014

Ilmberger, J.

Development of a multichannel voltage generation unit with sub-microvolt precision

Bachelor thesis at University of Heidelberg (2014)

abstract

Web publication

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
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

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
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