Publications of R.

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105 publication entries, 62 of them (printed in bold in the list) acknowledge the project support.
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Paper (reviewed)

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
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
Bopp et al. 2014	Bopp, R., Maçarico da Costa, N., Kampa, B.M., Martin, K.A. and Roth M.M.	Pyramidal cells make specific connections onto smooth (GABAergic) neurons in mouse visual cortex	PLoS Biol. (2014) 12(8):e1001932 doi:10.1371/journal.pbio.1001932	abstract, fulltext
Brüderle et al. 2011	Brüderle, D., Petrovici, M. A., Vogginger, B., Ehrlich, M., Pfeil, T., Millner, S., Grübl, A., Wendt, K., Müller, E., Schwartz, M.-O., de Oliveira, D. H., Jeltsch, S., Fieres, J., Schilling, M., Müller, P., Breitwieser, O., Petkov, V., Muller, L., Davison, A. P., Krishnamurthy, P., Kremkow, J., Lundqvist, M., Muller, E., Partzsch, J., Scholze, S., Zühl, L., Mayr, C., Destexhe, A., Diesmann, M., Potjans, T. C., Lansner, A., Schüffny, R., Schemmel, J. and Meier, K.	A comprehensive workflow for general-purpose neural modeling with highly configurable neuromorphic hardware systems	Biological Cybernetics (2011) 104(4-5): 263-296 doi:10.1007/s00422-011-0435-9	abstract, fulltext
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
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
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
DeFelipe et al. 2013	DeFelipe, J., Lopez-Cruz, P.L., Benavides-Piccione, R., Bielza, C., Larranaga, P., Anderson, S., Burkhalter, A., Cauli, B., Fairen, A., Feldmeyer, D., Fishell, G., Fitzpatrick, D., Freund, T.F., Gonzalez-Burgos, G., Hestrin, S., Hill, S., Hof, P.R., Huang, J., Jones, E.G., Kawaguchi, Y., Kisvarday, Z., Kubota, Y., Lewis, D.A., Marin, O., Markram, H., McBain, C.J., Meyer, H.S., Monyer, H., Nelson, S.B., Rockland, K., Rossier, J., Rubenstein, J.L.R., Rudy, B., Scanziani, M., Shepherd, G.M., Sherwood, C.C., Staiger, J.F., Tamas, G., Thomson, A., Wang, Y., Yuste, R. and Ascoli, G.A.	New insights into the classification and nomenclature of cortical GABAergic interneurons	Nature Reviews Neuroscience (2013) 14: 202-216 doi:10.1038/nrn3444	(fulltext)
Dehghani et al. 2012	Dehghani, N., Hatsopoulos, N.G., Haga, Z.D., Parker, R.A., Greger, B., Halgren, E., Cash, S.S., and Destexhe, A.	Avalanche analysis from multielectrode ensemble recordings in cat, monkey, and human cerebral cortex during wakefulness and sleep	Frontiers in Physiology (2012) 3: 302 doi:10.3389/fphys.2012.00302	abstract, fulltext
Devor et al. 2013	Devor, A., Bandettini, P., Boas, D., Bower, J., Buxton, R., Cohen, L., Dale, A., Einevoll, G., Fox, P., Franceschini, M., Friston, K., Fujimoto, J., Geyer, M., Greenberg, J., Halgren, E., Hamalainen, M., Helmchen, F., Hyman, B., Jasanoff, A., Jernigan, T., Judd, L., Kim, S.-G., Kleinfeld, D., Kopell, N., Kutas, M., Kwong, K., Larkum, M., Lo, E., Magistretti, P., Mandeville, J., Masliah, E., Mitra, P., Mobley, W., Moskowitz, M., Nimmerjahn, A., Reynolds, J., Rosen, B., Salzberg, B., Schaffer, C., Silva, G., So, P., Spitzer, N., Tootell, R., Essen, D. V., Vanduffel, W., Vinogradov, S., Wald, L., Wang, L., Weber, B. and Yodh, A.	The challenge of connecting the dots in the B.R.A.I.N.	Neuron (2013) 80: 270-274 doi:10.1016/j.neuron.2013.09.008	abstract
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
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
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
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
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
Huys et al. 2014	Huys, R., Perdikis, D. and Jirsa, V.K.	Functional architectures and structured flows on manifolds: a dynamical framework for motor behavior	Psychol Rev. (2014) 121(3):302-336 doi:10.1037/a0037014
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
Insabato et al. 2014	Insabato, A., Dempere-Marco, L., Pannunzi, M., Deco, G. and Romo, R.	The influence of spatio-temporal structure of noisy stimuli in decision-making	PLoS Comput. Biol. (2014) 10: e1003492 doi:10.1371/journal.pcbi.1003492	fulltext
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
Ledberg et al. 2012	Ledberg, A., Montagnini, A., Coppola, R. and Bressler, S.L.	Reduced Variability of Ongoing and Evoked Cortical Activity Leads to Improved Behavioral Performance	PLoS ONE (2012) 7: e43166 doi:10.1371/journal.pone.0043166	fulltext
Muir and Kampa 2015	Muir, D.R. and Kampa, B.M.	FocusStack and StimServer: a new open source MATLAB toolchain for visual stimulation and analysis of two-photon calcium neuronal imaging data	Front Neuroinform. (2015) 8:85. doi:10.3389/fninf.2014.00085	abstract
Naud and Gerstner 2012	Naud, R. and Gerstner, W.	Coding and Decoding with Adapting Neurons: A Population Approach to the Peri-Stimulus Time Histogram	PLoS Comput Biol (2012) 8(10): e1002711 doi:10.1371/journal.pcbi.1002711	abstract, 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
Perdikis Huys Jirsa 2011	Perdikis, D., Huys, R., Jirsa, V.K.	Time Scale Hierarchies in the Functional Organization of Complex Behaviors	PLoS Comput Biol (2011) 7(9):e1002198 doi:10.1371/journal.pcbi.1002198	fulltext
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
Pooresmaeili and Roelfsema 2014	Pooresmaeili, A. and Roelfsema, P. R.	A Growth-Cone Model for the Spread of Object-Based Attention during Contour Grouping	Current Biology (2014) 24(24): 2869-2877 doi:10.1016/j.cub.2014.10.007	abstract
Pooresmaeili et al. 2014	Pooresmaeili, A., Poort, and Roelfsema, P.R.	Simultaneous selection by object-based attention in visual and frontal cortex	PNAS (2014) 111(17): 6467-6472 doi:10.1073/pnas.1316181111	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)
Pozzorini et al. 2013	Pozzorini, C., Naud, R., Mensi, S. and Gerstner, W.	Temporal whitening by power-law adaptation in neocortical neurons	Nature Neuroscience (2013) 16: 942-948 doi:10.1038/nn.3431	abstract
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
Reig et al. 2015	Reig, R., Zerlaut, Y., Vergara, R., Destexhe, A. and Sanchez-Vives, M.	Gain modulation of synaptic inputs by network state in auditory cortex in vivo	Journal of Neuroscience (2015) 35: 2689-2702 doi:10.1523/JNEUROSCI.2004-14.2015	abstract
Rombouts et al. 2015	Rombouts, J.O., Bohte, S.M. and Roelfsema, P.R.	How Attention Can Create Synaptic Tags for the Learning of Working Memories in Sequential Tasks	PLoS Comput Biol (2015) 11(3): e1004060 doi:10.1371/journal.pcbi.1004060	fulltext
Rombouts et al. 2015b	Rombouts, J. O., Bohte, S. M., Martinez-Trujillo, J. and Roelfsema, P. R.	A learning rule that explains how rewards teach attention	Visual Cognition (2015) 33:179-205 doi:10.1080/13506285.2015.1010462	abstract
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. 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
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
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
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
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
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

Review

Crook et al. 2012

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

Creating, documenting and sharing network models

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

abstract, fulltext

Book chapter

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

Conference contribution: talk

Bakker and Diesmann 2014	Bakker, R., Thomas, W. and Diesmann, M.	Do gold standards remain gold standards when compiling a large number of published tract-tracing studies into a connectivity database?	Neuroinformatics 2014, Leiden, Netherlands, 25 Aug - 27 Aug, 2014., INCF2014, Leiden, Netherlands, 08/25/2014 - 08/27/2014 doi:10.3389/conf.fninf.2014.18.00072	fulltext
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
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
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. 2013c	Schmidt, M. ; van Albada, S. ; Bakker, R. ; Diesmann, M.	A spiking multi-area network model of macaque visual cortex	Osaka, Japan, 07/02/2014 - 07/02/2014
Schmidt et al. 2014	Schmidt, M., Schücker, J., van Albada, S., Bakker, R., Helias, M. and Diesmann, M.	Multi-area network model of visual cortex	4th BrainScaleS plenary meeting, Manchester, Grossbritannien, 19 - 21 March 2014
Tauste Campo et al. 2014	Tauste Campo, A., Martinez Garcia, M., Nacher, R., Romo, R. and Deco, G.	Causal correlation paths across cortical areas in decision making	BMC Neuroscience (2014) 15(Suppl. 1): O7 doi:10.1186/1471-2202-15-S1-O7	fulltext
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

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
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
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
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
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
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
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
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)
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Master/Diploma Thesis

Kuruvilla 2011

Kuruvilla, R.

Entwicklung und Aufbau einer anwenderfreundlichen Hardwareumgebung für ein neuromorphes Chipsystem (in German)

Diploma thesis (2011)

abstract, fulltext

Web publication

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
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

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
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