Publications in 2014

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175 publication entries, 77 of them (printed in bold in the list) acknowledge the project support.
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Paper (reviewed)

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)
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
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
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
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
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. 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)
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
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
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. 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
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
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
Helias et al. 2014	Helias, M., Tetzlaff, T. and Diesmann, M.	The Correlation Structure of Local Neuronal Networks Intrinsically Results from Recurrent Dynamics	PLoS Computational Biology (2014) 10(1): e1003428 doi:10.1371/journal.pcbi.1003428	fulltext
Hennequin et al. 2014	Hennequin, G., Vogels, T.P. and Gerstner, W.	Optimal Control of Transient Dynamics in Balanced Networks Supports Generation of Complex Movements	Neuron (2014) 82: 1394-1406 doi:10.1016/j.neuron.2014.04.045	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
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
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
Kaplan and Lansner 2014	Kaplan, B.A. and Lansner, A.	A spiking neural network model of self-organized pattern recognition in the early mammalian olfactory system	Front. Neural Circuits (2014) 8:5 doi:10.3389/fncir.2014.00005	abstract
Kaplan Khoei et al 2014	Kaplan, B.A., Khoei, M.A., Lansner, A. and Perrinet, L.U.	Signature of an anticipatory response in area V1 as modeled by a probabilistic model and a spiking neural network	International Joint Conference on Neural Networks (IJCNN) (2014) : 3205-3212 doi:10.1109/IJCNN.2014.6889847	abstract
Kappel et al 2014	Kappel, D., Nessler, B. and Maass, W.	STDP installs in winner-take-all circuits an online approximation to hidden Markov model learning	PLOS Computational Biology (2014) 10(3):e1003511 doi:10.1371/journal.pcbi.1003511	abstract, fulltext
Kappel et al. 2013	D. Kappel, B. Nessler, and W. Maass	STDP Installs in Winner-Take-All Circuits an Online Approximation to Hidden Markov Model Learning	PLoS Comput Biol (2014) 10(3): e1003511 doi:10.1371/journal.pcbi.1003511	fulltext
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
Kriener et al. 2014	Kriener, B., Enger, H., Tetzlaff, T., Plesser, H.E., Gewaltig, M.-O. and Einevoll, G.T.	Dynamics of self-sustained asynchronous-irregular activity in random networks of spiking neurons with strong synapses	Front. Comput. Neurosci. (2014) 8:136 doi:10.3389/fncom.2014.00136	fulltext
Kriener et al. 2014b	Helias, M., Rotter, S., Diesmann, M. and Einevoll, G. T.	How pattern formation in ring networks of excitatory and inhibitory spiking neurons depends on the input current regime	Frontiers in computational neuroscience (2014) 7: 1 doi:10.3389/fncom.2013.00187	fulltext
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
Linden et al. 2014	Lindén, H., Hagen, E., Łeski, S., Norheim, E. S., Pettersen, K. H. and Einevoll, G. T.	LFPy: a tool for biophysical simulation of extracellular potentials generated by detailed model neurons	Front. Neuroinform. (2014) 7:41 doi:10.3389/fninf.2013.00041	abstract, fulltext
Muller et al. 2014	Muller, L.E., Reynaud, A., Chavane, F. and Destexhe, A.	The stimulus-evoked population response in visual cortex of awake monkey is a propagating wave	Nature Communications (2014) 5: 3675 doi:10.1038/ncomms4675	fulltext
Muller et al. 2014b	Muller, L.E., Destexhe, A. and Rudolph-Lilith, M.	Brain networks: small-worlds, after all?	New Journal of Physics (2014) 16: 105004 doi:10.1088/1367-2630/16/10/105004	abstract, fulltext
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)
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
Pettersen et al 2014	Pettersen, K.H., Linden, H., Tetzlaff, T. and Einevoll, G.T.	Power Laws from Linear Neuronal Cable Theory: Power Spectral Densities of the Soma Potential, Soma Membrane Current and Single-Neuron Contribution to the EEG	PLoS Computational Biology (2014) 10(11): e1003928 doi:10.1371/journal.pcbi.1003928	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
Potjans and Diesmann 2012	Potjans, T. and Diesmann, M.	The Cell-Type Specific Cortical Microcircuit: Relating Structure and Activity in a Full-Scale Spiking Network Model	First published online: December 2, 2012. Cereb. Cortex (2014) 24 (3): 785-806 doi:10.1093/cercor/bhs358	abstract, 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
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
Savin et al. 2014	Savin, C., Dayan, P. and Lengyel, M.	Optimal Recall from Bounded Metaplastic Synapses: Predicting Functional Adaptations in Hippocampal Area CA3	PLoS Comput Biol (2014) 10(2): e1003489 doi:10.1371/journal.pcbi.1003489	fulltext
Schmuker et al. 2014	Schmuker, M., Pfeil, T. and Nawrot, M. P.	A neuromorphic network for generic multivariate data classification	PNAS (2014) 111(6): 2081-2086 doi:10.1073/pnas.1303053111	abstract, fulltext
Self et al. 2014	Self, M.W., Lorteije, J.A.M., Vangeneugden, J., van Beest, E.H., Grigore, M.E., Levelt, C., Heimel, J.A. and Roelfsema, P.R.	Orientation-Tuned Surround Suppression in Mouse Visual Cortex	The Journal of Neuroscience (2014) 34(28): 9290-9304 doi:10.1523/JNEUROSCI.5051-13.2014	fulltext
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
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 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 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)
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
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

Review

Estebanez et al. 2014

Estebanez, L., Boustani, S. E. and Shulz, D. E.

What the whiskers tell the tactile brain

Med Sci (2014) 30: 93-98 doi:10.1051/medsci/20143001019

abstract

Book chapter

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
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 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
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 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
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
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
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
Deco 2014	Deco, G.	Linking the structural and functional human connectome	4th Frontiers in Neuromorphic Computing, Heidelberg, Germany (2014)
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. 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
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,
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
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
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 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
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
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
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
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

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
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
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
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
Einevoll et al. 2014	Einevoll, G.T., Łeski, S. and Hagen, E.	Tutorial: Modeling and interpretation of extracellular potentials (T4)	CNS 2014, Québec City (Canada), http://www.cnsorg.org/cns-2014-tutorials#T4	abstract
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. 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
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
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
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
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
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
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
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
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
Stavrinou et al. 2015	Stavrinou, M.L., Hagen, E., Dahmen, D., Linden, H., Tetzlaff, T., van Albada, S., Diesmann, M., Grün, S. and Einevoll, G.T.	Computing local field potentials based on spiking cortical networks	Neuro Informatics 2014, Leiden, Netherlands, 08/25/2014 - 08/27/2014
Tetzlaff et al. 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
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
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
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

PhD Thesis

Gerhard 2014	Gerhard, Felipe	Statistical models of effective connectivity in neural microcircuits	EPFL PhD Thesis	fulltext
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
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
Partzsch 2014	Partzsch, J.	Analyse- und Entwurfsmethoden für Verbindungsarchitekturen neuromorpher Systeme	PhD thesis (2014) at Technische Universität Dresden
Zenke 2014	Zenke Friedemann	Memory formation and recall in recurrent spiking neural networks	EPFL PhD Thesis	fulltext

Master/Diploma Thesis

Canova 2014	Canova, C.	Statistical Assessment and Neuronal Composition of Active Synfire Chains	Diploma Thesis, Univ Tübingen	abstract
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
Hofer 2014	F. Hofer	Computational Properties of L5 Pyramidal Cells	Master Thesis 2014 Graz University of Technology	abstract
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
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

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
Hüll 2014	Hüll, S.	Testen eines Floating-Gate Analogspeichers in 65nm Single-Poly Technologie	Bachelor thesis at University of Heidelberg (2014)	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

Web publication

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

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
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
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)
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
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
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