Publications of A.

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192 publication entries, 107 of them (printed in bold in the list) acknowledge the project support.
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Paper (reviewed)

Antolik and Bednar 2011Antolik, J. and Bednar, J.A. Development of maps of simple and complex cells in the primary visual cortexFront. Comput. Neurosci. (2011) 5:17
doi:10.3389/fncom.2011.00017
abstract, fulltext
Antolik and Davison 2013Antolik, J. and Davison, A.P.Integrated workflows for spiking neuronal network simulationsFront. Neuroinform. (2013) 7:34
doi:10.3389/fninf.2013.00034
fulltext
Auffarth et al. 2011Auffarth, B., Kaplan, B. and Lansner, A.Map formation in the olfactory bulb by axon guidance of olfactory neuronsFront Syst Neurosci (2011) 5:84
doi:10.3389/fnsys.2011.00084
fulltext
Bazhenov et al. 2011Bazhenov, M., Lonjers, P., Skorheim, S., Bedard, C. and Destexhe, A.Non-homogeneous extracellular resistivity affects the current-source density profiles of up/down state oscillationsPhil. Trans. R. Soc. A (2011) 369:3802-3819
doi:10.1098/rsta.2011.0119
abstract, fulltext
Bedard and Destexhe 2011Bedard, C. and Destexhe, A.Generalized theory for current-source-density analysis in brain tissuePhys. Rev. E (2011) 84:041909
doi:10.1103/PhysRevE.84.041909
abstract
Bedard and Destexhe 2013Bedard, C. and Destexhe, A. Generalized cable theory for neurons in complex and heterogeneous mediaPHYSICAL REVIEW E (2013) 88: 022709
doi:10.1103/PhysRevE.88.022709
abstract, fulltext
Bedard and Destexhe 2014bBedard, C. and Destexhe, A.Mean-field formulation of Maxwell equations to model electrically inhomogeneous and isotropic mediaJournal of Electromagnetic Analysis and Applications (2014) 6: 296-302
doi:10.4236/jemaa.2014.610029
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Bedard and Destexhe 2014cBedard, C. and Destexhe, A.Generalized cable formalism to calculate the magnetic field of single neurons and neuronal populationsPhysical Review E (2014) 90(4): 042723
doi:10.1103/PhysRevE.90.042723
abstract
Bedard et al. 2011Bédard, C., Béhuret, S., Deleuze, C., Bal, T. and Destexhe, A.Oversampling method to extract excitatory and inhibitory conductances from single-trial membrane potential recordingsJ Neurosci Meth (2012) 210 (1): 3 - 14
doi:10.1016/j.jneumeth.2011.09.010
fulltext
Benjaminsson and Lansner 2012Benjaminsson, S. and Lansner, A.Nexa: A scalable neural simulator with integrated analysisNetwork: Computation in Neural Systems (2012) 23: 254-271
doi:10.3109/0954898X.2012.737087
abstract, fulltext
Berthet and Lansner 2014Berthet, P. and Lansner, A.Optogenetic Stimulation in a Computational Model of the Basal Ganglia Biases Action Selection and Reward Prediction ErrorPLoS ONE (2014) 9(3): e90578
doi:10.1371/journal.pone.0090578
fulltext
Berthet et al. 2012Berthet, P., Hellgren-Kotaleski, J. and Lansner, A.Action selection performance of a reconfigurable Basal Ganglia model with a Hebbian-Bayesian Go-NoGo connectivityFront. Behav. Neurosci. (2012) 6:65
doi:10.3389/fnbeh.2012.00065
fulltext
Bezgin et al. 2012Bezgin, 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 brainNeuroImage (2012) 62(1): 67-76
doi:10.1016/j.neuroimage.2012.04.013
(fulltext)
Blackman et al 2014A. V. Blackman, S. Grabuschnig, R. Legenstein, and P. J. SjöströmA comparison of manual neuronal reconstruction from biocytin histology or 2-photon imaging: morphometry and computer modelingFrontiers in neuroanatomy (2014) : 8
doi:10.3389/fnana.2014.00065
abstract, fulltext
Bogadhi et al. 2013Bogadhi, A., Montagnini, A. and Masson, G.S.Dynamical interaction between retinal and extra-retinal signals in motion integration for smooth pursuitJournal of Vision (2013) 13(13): 5
doi:10.1167/13.13.5
fulltext
Bopp et al. 2014Bopp, 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 cortexPLoS Biol. (2014) 12(8):e1001932
doi:10.1371/journal.pbio.1001932
abstract, fulltext
Brüderle et al. 2011Brüderle, 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 systemsBiological Cybernetics (2011) 104(4-5): 263-296
doi:10.1007/s00422-011-0435-9
abstract, fulltext
Chapuis and Tetzlaff 2014Chapuis, A. and Tetzlaff, T.The variability of tidewater-glacier calving: origin of event-size and interval distributionsJournal of Glaciology (2014) 60 (222): 622-634
doi:10.3189/2014JoG13J215
abstract
Chicharro and Ledberg 2012Chicharro, D. and Ledberg, A.When two become one: the limits of causality analysis of brain dynamicsPLoS One (2012) 7(3):e32466
doi:10.1371/journal.pone.0032466
fulltext
Dagnino et al. 2015Dagnino, 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 V1Journal of Neurophysiology (2015) 113(3): 730-739
doi:10.1152/jn.00645.2014
abstract
Davison 2012Davison, A. P.Automated Capture of Experiment Context for Easier Reproducibility in Computational Research Computing in Science and Engineering (2012) 14: 48-56
doi:10.1109/MCSE.2012.41
abstract, fulltext
Deco at al. 2014bDeco, 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 ModelingThe Journal of Neuroscience (2014) 34(23): 7910-7916
doi:10.1523/JNEUROSCI.4423-13.2014
fulltext
Deco et al. 2013Deco,G., Ponce-Alvarez, A., Mantini, D., Romani, G.L., Hagmann, P. and Corbetta, M.Resting-state functional connectivity emerges from structurally and dynamically shaped slow linear fluctuationsJ. Neurosci. (2013) 33: 11239-11252
doi:10.1523/JNEUROSCI.1091-13.2013
abstract, (fulltext)
Deco et al. 2014Deco, G., Ponce-Alvarez, A., Hagmann, P., Romani, G.L., Mantini, D. and Corbetta, M.How local excitation-inhibition ratio impacts the whole brain dynamicsJ. Neurosci. (2014) 34: 7886-7898
doi:10.1523/JNEUROSCI.5068-13.2014
abstract, (fulltext)
DeFelipe et al. 2013DeFelipe, 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 interneuronsNature Reviews Neuroscience (2013) 14: 202-216
doi:10.1038/nrn3444
(fulltext)
Dehghani et al. 2012Dehghani, 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 sleepFrontiers in Physiology (2012) 3: 302
doi:10.3389/fphys.2012.00302
abstract, fulltext
Deneux et al. 2012bDeneux, T., Takerkart, S., Grinvald, A., Masson, G.S. and Vanzetta, I.A processing work-flow for measuring erythrocytes velocity in extended vascular networks from wide field high-resolution optical imaging data.Neuroimage (2012) 59: 2569-2588
doi:10.1016/j.neuroimage.2011.08.081
fulltext
Denker et al. 2011cDenker, M., Roux, S., Lindén, H., Diesmann, M., Riehle, A. and Grün, S.The local field potential reflects surplus spike synchronyCerebral Cortex (2011) 21:2681-2695
doi:10.1093/cercor/bhr040
abstract, fulltext
Destexhe and Bedard 2012Destexhe, A. and Bedard, C.Do neurons generate monopolar current sources?AJP - JN Physiol (2012) 108(4): 953-955
doi:10.1152/jn.00357.2012
abstract, (fulltext)
Devor et al. 2013Devor, 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. 2014Djurfeldt, M., Davison, A.P. and Eppler, J.M. Efficient generation of connectivity in neuronal networks from simulator-independent descriptionsFront. Neuroinform. (2014) 8:43
doi:10.3389/fninf.2014.00043
fulltext
El Boustani et al. 2012El Boustani, S., Yger, P., Frégnac, Y. and Destexhe, A.Stable Learning in Stochastic Network StatesThe Journal of Neuroscience (2012) 32(1): 194-214
doi:10.1523/JNEUROSCI.2496-11.2012
fulltext
Estebanez et al. 2012Estebanez, L., Boustani, S. E., Destexhe, A. and Shulz, D. E. Correlated input reveals coexisting coding schemes in a sensory cortexNature Neuroscience (2012) 15: 1691-1699
doi:10.1038/nn.3258
abstract, (fulltext)
Fiebig and Lansner 2014Fiebig F. and Lansner A.Memory Consolidation from Seconds to Weeks: A Three-Stage Neural Network Model with Autonomous Reinstatement DynamicsFront Comput Neurosci (2014) 8: 64
doi:10.3389/fncom.2014.00064
fulltext
Friston et al. 2012Friston, K., Adams, R. A., Perrinet, L. and Breakspear, M. Perceptions as hypotheses: saccades as experimentsFront. Psychology (2012) 3:151
doi:10.3389/fpsyg.2012.00151
abstract, fulltext
Garcia et al. 2014Garcia, 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 formatsFront. Neuroinform. (2014) 8:10
doi:10.3389/fninf.2014.00010
abstract, fulltext
Gomez-Gonzales et al 2014Gomez-Gonzales, J.F., Destexhe, A. and Bal, T.Application of active electrode compensation to perform continuous voltage-clamp recordings with sharp microelectrodesJ. Neural Engineering (2014) 11:056028
doi:10.1088/1741-2560/11/5/056028
abstract
Grassia et al. 2011Grassia, F., Buhry, L., Levi, T., Tomas, J., Destexhe, A. and Saaghi, S.Tunable neuromimetic integrated system for emulating cortical neuron modelsFront. Neurosci. (2011) 5:134
doi:10.3389/fnins.2011.00134
Hagen et al. 2015bHagen, E., Ness, T.V., Khosrowshahi, A., Sørensen, C., Fyhn, M., Hafting, T., Franke, F. and Einevoll, GT.ViSAPy: A Python tool for biophysics-based generation of virtual spiking activity for evaluation of spike-sorting algorithmsJournal of Neuroscience Methods (2015) 245: 182-204
doi:10.1016/j.jneumeth.2015.01.029
abstract, fulltext
Hansen et al. 2015Hansen, E.C.A, Battaglia, D., Spiegler, A., Deco, G. and Jirsa, V.K.Functional connectivity dynamics: Modeling the switching behavior of the resting stateNeuroImage (2015) 105: 525-535
doi:10.1016/j.neuroimage.2014.11.001
Hanuschkin et al.Hanuschkin, A., Diesmann M., and Morrison, A.A reafferent and feed-forward model of song syntax generation in the Bengalese finchJ Comput Neurosci. (2011) 31(3):509-32
doi:10.1007/s10827-011-0318-z
fulltext
Helias et al. 2012Helias, 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 neuroscienceFront. Neuroinform. (2012) 6:26
doi:10.3389/fninf.2012.00026
fulltext
Indiveri et al. 2011Indiveri, 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 circuitsFront. Neurosci. (2011) 5:73
doi:10.3389/fnins.2011.00073
fulltext
Insabato et al. 2014Insabato, A., Dempere-Marco, L., Pannunzi, M., Deco, G. and Romo, R.The influence of spatio-temporal structure of noisy stimuli in decision-makingPLoS Comput. Biol. (2014) 10: e1003492
doi:10.1371/journal.pcbi.1003492
fulltext
Kaplan and Lansner 2014Kaplan, B.A. and Lansner, A.A spiking neural network model of self-organized pattern recognition in the early mammalian olfactory systemFront. Neural Circuits (2014) 8:5
doi:10.3389/fncir.2014.00005
abstract
Kaplan et al. 2013Kaplan, B.A., Lansner, A., Masson, G.S. and Perrinet, L.U. Anisotropic connectivity implements motion-based prediction in a spiking neural network Front. Comput. Neurosci. (2013) 7:112
doi:10.3389/fncom.2013.00112
Kaplan Khoei et al 2014Kaplan, 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 networkInternational Joint Conference on Neural Networks (IJCNN) (2014) : 3205-3212

doi:10.1109/IJCNN.2014.6889847
abstract
Kerr et al.Kerr, C.C., van Albada, S., Neymotin, S.A., Chadderdon, G.L., Robinson, P.A., and Lytton, W.W.Cortical information flow in Parkinson's disease: a composite network/field modelFront Comput Neurosci. (2013) 7:39
doi:10.3389/fncom.2013.0003
fulltext
Khoei et al. 2013Khoei, M.A., Masson, G.S. and Perrinet, L.U. Motion-based prediction explains the role of tracking in motion extrapolationJournal of Physiology (2013) 107: 409-420
doi:10.1016/j.jphysparis.2013.08.001
(fulltext)
Kooijmans et al. 2014Kooijmans, 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 CortexThe Journal of Neuroscience (2014) 34(18): 6303-6315
doi:10.1523/JNEUROSCI.3188-13.2014
fulltext
Krishnamurthy et al. 2012Krishnamurthy, P., Silberberg, G. and Lansner, A.A cortical attractor network with Martinotti cells driven by facilitating synapsesPLoS ONE (2012) 7(4): e30752
doi:10.1371/journal.pone.0030752
fulltext
Kunkel et al. 2011Kunkel, S., Diesmann, M. and Morrison, A.Limits to the Development of Feed-Forward Structures in Large Recurrent Neuronal NetworksFront. Comput. Neurosci. (2011) 4:160
doi:10.3389/fncom.2010.00160
abstract, fulltext
Kunkel et al. 2011bKunkel, S., Potjans, T.C., Eppler, J.M., Plesser, H.E., Morrison, A. and Diesmann, M.Meeting the memory challenges of brain-scale network simulationFront. Neuroinform. (2011) 5:35
doi:10.3389/fninf.2011.00035
abstract
Kunkel et al. 2014Kunkel, 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 computersFront. Neuroinform. (2014) 8:78
doi:10.3389/fninf.2014.00078
abstract, fulltext
Ledberg et al. 2012Ledberg, A., Montagnini, A., Coppola, R. and Bressler, S.L.Reduced Variability of Ongoing and Evoked Cortical Activity Leads to Improved Behavioral PerformancePLoS ONE (2012) 7: e43166
doi:10.1371/journal.pone.0043166
fulltext
Lundqvist et al. 2011aLundqvist, M., Herman, P. and Lansner, A.Theta and gamma power increases and alpha/beta power decreases with memory load in an attractor network modelJ Cogn Neurosci (2011) 23:3008-3020
doi:10.1162/jocn_a_00029
abstract
Lundqvist et al. 2012Lundqvist, M., Herman, P. and Lansner, A.Variability of spike firing during theta-coupled replay of memories in a simulated attractor networkBrain Res (2012) 1434:152-161
doi:10.1016/j.brainres.2011.07.055
fulltext
Meli and Lansner 2013Meli, C. and Lansner, A.A modular attractor associative memory with patchy connectivity and weight pruningNetwork: Computation in Neural Systems (2013) 24(4):129-150
doi:10.3109/0954898X.2013.859323
abstract, fulltext
Milekovic et al. 2015Milekovic, T., Truccolo, W., Grün, S., Riehle, A. and Brochier, T.Local field potentials in primate motor cortex encode grasp kinetic parametersNeuroimage (2015) 114: 338-355
doi:10.1016/j.neuroimage.2015.04.008
fulltext
Muller and Destexhe 2012Muller, L. and Destexhe, A. Propagating waves in thalamus, cortex and the thalamocortical system: Experiments and modelsJournal of Physiology-Paris (2012) 106 (5-6): 222-238
doi:10.1016/j.jphysparis.2012.06.005
(fulltext)
Muller et al. 2014Muller, L.E., Reynaud, A., Chavane, F. and Destexhe, A.The stimulus-evoked population response in visual cortex of awake monkey is a propagating waveNature Communications (2014) 5: 3675
doi:10.1038/ncomms4675
fulltext
Muller et al. 2014bMuller, 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
Navaridasa et al. 2013Navaridasa, 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 architectureParallel Computing (2013) 39(11): 693-708
doi:10.1016/j.parco.2013.09.001
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Perrinet and Bednar 2015Perrinet, L.U., Bednar, J.A.Edge co-occurrences can account for rapid categorization of natural versus animal imagesScientific Reports (2015) 5: 11400
doi:10.1038/srep11400
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Perrinet et al. 2014Perrinet, L.U., Adams, R.A. and Friston, K.J.Active inference, eye movements and oculomotor delaysin Biological Cybernetics (2014) 108(6):777-801
doi:10.1007/s00422-014-0620-8
fulltext, BibTeX
Petrovici et al. 2014Petrovici, 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 PlatformsPLoS ONE (2014) 9(10): e108590
doi:10.1371/journal.pone.0108590
abstract
Peyrache et al. 2011Peyrache, A., Battaglia, F. and Destexhe, A. Inhibition recruitment in prefrontal cortex during sleep spindles and gating of hippocampal inputsPNAS (2011) 108(41): 17207-17212
doi:10.1073/pnas.1103612108
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Peyrache et al. 2012Peyrache, 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 sleepPNAS (2012) 109 (5): 1731-1736
doi:10.1073/pnas.1109895109
abstract, fulltext
Pfeil et al. 2012Pfeil, 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 substrateFront. Neurosci. (2013) 7:11
(Pre-print: http://arxiv.org/abs/1210.7083)
doi:10.3389/fnins.2013.00011
abstract
Pinotsis et al. 2013Pinotsis, D.A., Hansen, E., Friston, K.J. and Jirsa, V.K.Anatomical connectivity and the resting state activity of large cortical networksNeuroimage (2013) 65:127-38
doi:10.1016/j.neuroimage.2012.10.016
abstract, (fulltext)
Pooresmaeili and Roelfsema 2014Pooresmaeili, A. and Roelfsema, P. R. A Growth-Cone Model for the Spread of Object-Based Attention during Contour GroupingCurrent Biology (2014) 24(24): 2869-2877
doi:10.1016/j.cub.2014.10.007
abstract
Pooresmaeili et al. 2014Pooresmaeili, A., Poort, and Roelfsema, P.R.Simultaneous selection by object-based attention in visual and frontal cortexPNAS (2014) 111(17): 6467-6472
doi:10.1073/pnas.1316181111
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Poort et al. 2012Poort, 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)
Potjans et al. 2011bPotjans, W., Diesmann, M. and Morrison, A.An Imperfect Dopaminergic Error Signal Can Drive Temporal-Difference LearningPLoS Comput Biol. (2011) 7(5): e1001133
doi:10.1371/journal.pcbi.1001133
abstract, fulltext
Probst et al. 2015Probst, 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 neuronsFront. Comput. Neurosci. (2015) 9:13
doi:10.3389/fncom.2015.00013
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Rankin et al. 2013bRankin, 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 integrationJournal of Computational Neuroscience (2013) September: 1-21
doi:10.1007/s10827-013-0465-5
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Reig et al. 2015Reig, R., Zerlaut, Y., Vergara, R., Destexhe, A. and Sanchez-Vives, M.Gain modulation of synaptic inputs by network state in auditory cortex in vivoJournal of Neuroscience (2015) 35: 2689-2702
doi:10.1523/JNEUROSCI.2004-14.2015
abstract
Reynaud et al. 2012Reynaud, A., Masson, G. S. and Chavane, F.Dynamics of Local Input Normalization Result from Balanced Short- and Long-Range Intracortical Interactions in Area V1The Journal of Neuroscience (2012) 32(36):12558 - 12569
doi:10.1523/JNEUROSCI.1618-12.2012
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Riehle et al. 2013Riehle, A., Wirtssohn, S., Grün, S. and Brochier, T. Mapping the spatio-temporal structure of motor cortical LFP and spiking activities during reach-to-grasp movementsFront. Neural Circuits (2013) 7:48
doi:10.3389/fncir.2013.00048
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Santamari­a-Garcia et al. 2013Santamari­a-Garci­a, H., Pannunzi, M., Ayneto, A., Deco, G., Sebastian-Galles, N.'If you are good, I get better': the role of social hierarchy in perceptual decision-makingSoc. Cogn. Affect. Neurosci. (1014) 9(10):1489-1497
doi:10.1093/scan/nst133
abstract, (fulltext)
Schain et al. 2013Schain, M., Benjaminsson, S., Varnäs, K., Forsberg, A., Halldin, C., Lansner, A., Farde, L. and Varrone, A. Arterial input function derived from pairwise correlations between PET-image voxelsJ Cereb Blood Flow Metab (2013) 33:1058-1065
doi:10.1038/jcbfm.2013.47
(fulltext)
Self et al. 2014Self, 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 CortexThe Journal of Neuroscience (2014) 34(28): 9290-9304
doi:10.1523/JNEUROSCI.5051-13.2014
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Silverstein and Lansner 2011Silverstein, D.N. and Lansner, A.Is Attentional Blink a Byproduct of Neocortical Attractors?Front Comput Neurosci. (2011) 5: 13
doi:10.3389/fncom.2011.00013
abstract, fulltext
Simoncini et al. 2012Simoncini, C., Perrinet, L.U., Montagnini, A., Mamassian, P. and Masson G.S.More is not always better: pooling motion information differently for perception or actionNature Neuroscience (2012) 15: 1596-1603
doi:10.1038/nn.3229
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Takerkart et al. 2014Takerkart, 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
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Tauste Campo et al. 2015Tauste Campo, A., Martinez-Garcia, M., Nacher, V., Luna, R., Romo, R. and Deco, G.Task-driven intra- and interarea communications in primate cerebral cortexProc. Natl. Acad. Sci. USA (2015) 112(15):4761-4766
doi:10.1073/pnas.1503937112
abstract
Tully et al. 2014Tully, P. J., Hennig, M. H. and Lansner, A.Synaptic and Nonsynaptic Plasticity Approximating Probabilistic InferenceFront. Synaptic Neurosci. (2014) 6:8
doi:10.3389/fnsyn.2014.00008
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van Kerkoerle et al. 2014van 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 cortexPNAS (2014) 111(40): 14332-14341
doi:10.1073/pnas.1402773111
abstract, fulltext
Vasquez et al. 2012Vasquez, J.-C., Palacios, A., Marre, O., Berry II, M. J. and Cessac, B.Gibbs distribution analysis of temporal correlations structure in retina ganglion cellsJ. Physiol. Paris (2012) 106(4):120-127
doi:10.1016/j.jphysparis.2011.11.001
(fulltext), BibTeX
Vella et al. 2014Vella, 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 neuroscienceFrontiers in Neuroinformatics (2014) 8: 38
doi:10.3389/fninf.2014.00038
abstract
Vogels et al 2013T. 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. SprekelerInhibitory synaptic plasticity: spike timing-dependence and putative network functionFrontiers In Neural Circuits (2013) : 7
doi:10.3389/fncir.2013.00119
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Vogginger et al. 2015Vogginger, B., Schüffny, R., Lansner, A., Cederström, L., Partzsch, J. and Höppner, S.Reducing the computational footprint for real-time BCPNN learningFront. Neurosci. (2015) 9:2
doi:10.3389/fnins.2015.00002
abstract, fulltext

Review

Crook et al. 2012Crook, 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 modelsNetwork: Computation in Neural Systems (2012) 23(4): 131-149
doi:10.3109/0954898X.2012.722743
abstract, fulltext

Book chapter

Bedard and Destexhe 2014Bedard, C. and Destexhe, A.Local Field Potential: Interaction with the extracellular medium. In: Encyclopedia of Computational NeuroscienceIn: Encyclopedia of Computational Neuroscience, Edited by Jaeger D and Jung R. Springer, New York, (2014): 1-10 abstract
Bedard and Destexhe in pressBedard, C. and Destexhe, A.Modeling local field potentials and their interaction with the extracellular mediumin: Handbook of Neural Activity Measurement, Edited by Brette, R. and Destexhe, A., Cambridge University Press, Cambridge, UK, ISBN:9780521516228
Cessac and Palacios 2012Cessac, B. and Palacios, A.Spike train statistics from empirical facts to theory: the case of the retinaModeling in Computational Biology and Biomedicine: A Multidisciplinary Endeavor, Springer-Verlag (2012) fulltext, BibTeX
Crook et al. 2013Crook., S. M., Davison, A. P. and Plesser, H. E. Learning from the past: approaches for reproducibility in computational neuroscienceIn: J.M. Bower (Ed.), 20 Years of Computational Neuroscience, Springer, ISBN 978-1-4614-1423-0
doi:10.1007/978-1-4614-1424-7_4
abstract
Davison et al. 2014Davison, A.P., Mattioni, M., Samarkanov, D. and Telenczuk, B.Sumatra: A Toolkit for Reproducible ResearchIn: 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 2013Destexhe, A.20 Years of "Noise": Contributions of Computational Neuroscience to the Exploration of the Effect of Background Activity on Central NeuronsIn: 20 Years of Computational Neuroscience Springer Series in Computational Neuroscience (2013) 9: 167-186
doi:10.1007/978-1-4614-1424-7_8
abstract
Destexhe and Rudolph-Lilith 2014Destexhe, A. and Rudolph-Lilith, M.Noisy dendrites: Models of dendritic integration in vivo. In: The Computing Dendrite, Edited by Cuntz, H., Remme, M.W.H. and Torben-Nielsen, B., Springer, New York, pp. 173-190, 2014, ISBN 978-1-4614-8093-8 abstract
Devor et al. 2012Devor, 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 fMRIAdvances in Neurobiology (2012) 4: 433-500
doi:10.1007/978-1-4614-1788-0_15
abstract
Lansner and Diesmann 2012Lansner, A. and Diesmann, M. Virtues, Pitfalls, and Methodology of Neuronal Network Modeling and Simulations on SupercomputersComputational Systems Neurobiology, Editors N. Le Novère, ISBN: 978-94-007-3857-7 (Print) 978-94-007-3858-4 (Online) (2012): 283-315 abstract
Pettersen et al. 2012Pettersen, K.H., Linden, H., Dale, A.M. and Einevoll, G.T. Extracellular spikes and CSD Handbook of Neural Activity Measurement, edited by R. Brette and A. Destexhe, Cambridge, 2012: 92-135
Book URL: http://www.cambridge.org/gb/knowledge/isbn/item6698760/?site_locale=en_GB
Pettersen et al. 2013Pettersen, K. H., Linden, H., Dale, A.M. and Einevoll, G. T.Extracellular spikes and current-source densityin Handbook of Neural Activity Measurement, edited by Romain Brette and Alain Destexhe, ISBN: 9780521516228, Published September 2012 fulltext

Conference contribution: talk

Davison 2011Davison, A.Using PyNN and NineMLTalk at CNS*2011 Workshop: Emerging standards for network modeling
Davison 2013Davison, A.Provenance tracking for complex data analysis workflows in neuroscience10th Göttingen Meeting of the German Neuroscience Society, Göttingen, Germany, March (2013).
Davison 2013bDavison, A.PyNN: a simulator-independent platform for large scale, data-driven neuronal simulationsCosyne workshops, Snowbird, Utah, USA, March (2013)
Denker et al. 2012bDenker, M., Zehl, L., Brochier, T., Grün, S., Riehle, A.
Comparing the spatio-temporal organization of joint spiking and local field potential oscillations in motor cortex
Twenty First Annual Computational Neuroscience Meeting: CNS*2012, Decatur, GA, USA; BMC Neuroscience 2012, 13(Suppl 1):P127
doi:10.1186/1471-2202-13-S1-P127
abstract
Denker et al. 2014Denker, 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. 2014bDenker, M., Zehl, L., Yegenoglu, A., Wachtler, T., Davison, A. and Grün, S. Improving Workflows and Data Management for the Analysis of Electrophysiological DataAdvances in Neuroinformatics 2014, AINI2014, Wako-shi, Japan, 09/25/2014 - 09/26/2014
Destexhe 2013bDestexhe, A.How to reconcile macroscopic brain signals with neuronal unit activity?Dynamics of Neuronal Systems, Freiburg, Germany. March (2013). (Invited speaker)
Destexhe 2013cDestexhe, A. Frequency scaling of human and monkey LFP Scale-Free Dynamics and Networks in Neurosciences, Montreal, Canada (2013) (Invited speaker)
Helias et al. 2014aHelias, M., Kunkel, S., Morrison, A. and Diesmann, M. NEST, simulation technology for brain-scale networks at cellular and synaptic resolutionSOS18 Conference on distributed supercomputing, St. Moritz, Switzerland, 03/17/2014 - 03/20/2014
Kunkel et al. 2014cKunkel, S., Helias, M., Diesmann, M. and Morrison, A. Specifying supercomputers for brain-scale neuronal network simulationsHPC for Life Science, Brussels, Belgium, 05/26/2014 - 05/27/2014
Kunkel et al. 2014dKunkel, S., Helias, M., Diesmann, M. and Morrison, A. Supercomputer simulations of spiking neuronal networksProgress on Brain-Like Computing, Stockholm, Sweden, 02/05/2014 - 02/06/2014
Maximov2013Maximov, A.Toward a large-scale spiking network model of the rodent barrel cortex
3rd BrainScaleS Plenary Meeting, Marseille, France, 03/21/2013 - 03/22/2013
Rast et al. 2013Rast, 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 InterfaceInternational Joint Conference on Neural Networks (2013)
doi:10.1109/IJCNN.2013.6706887
Schemmel et al. 2012aSchemmel, 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 SystemIEEE International Symposium on Circuits and Systems 2012
Tauste Campo et al. 2014Tauste Campo, A., Martinez Garcia, M., Nacher, R., Romo, R. and Deco, G.Causal correlation paths across cortical areas in decision makingBMC Neuroscience (2014) 15(Suppl. 1): O7
doi:10.1186/1471-2202-15-S1-O7
fulltext

Conference contribution: poster

Antolik and Davison 2013bAntolik, J. and Davison, A.P.Mozaik: a framework for model construction, simulation, data analysis and visualization for large-scale spiking neural circuit modelsNeuroinformatics 2013, Stockholm, Sweden, August (2013)
doi:10.3389/conf.fninf.2013.09.00018
abstract
Bachmannet al 2013Bachmann, C. ; Tetzlaff, T. ; Kunkel, S. ; Bamberger, P. ; Morrison, A.
Computational characteristics of recurrent neural networks under the influence of Alzheimer's disease
10th Göttingen Meeting of the German Neuroscience Society, Göttingen, Germany, 03/13/2013 - 03/16/2013
Bachmannet al 2013bBachmann, C., Tetzlaff, T., Kunkel, S., Bamberger, P. and Morrison, A.
Effect of Alzheimer's disease on the dynamical and computational characteristics of recurrent neural networks
22nd Annual Computational Neuroscience Meeting, CNS*2013, Paris, France, 07/13/2013 - 07/18/2013
Bachmannet al 2015Bachmann, C. ; Tetzlaff, T. ; Kunkel, S. ; Morrison, A.
Effect of Alzheimer disease on the dynamical and computational characteristics of recurrent neural networks11th Göttingen Meeting of the German Neuroscience Society, Göttingen, Germany, 03/18/2015 - 03/28/2015
Bakkeret al 2012Bakker, 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
Benjaminsson and Lansner 2011Benjaminsson, S. and Lansner, A.Extreme Scaling of Brain SimulationsJülich Blue Gene/P Extreme Scaling Workshop 2011, Technical Report FZJ-JSC-IB-2011-02 available from http://www2.fz-juelich.de/jsc/docs/autoren2011/mohr1/
Bogadhi et al. 2011Bogadhi, A., Montagnini, A. and Masson, G.S.Dynamical interaction between retinal and extra-retinal signals in motion integration for smooth pursuitJournal of Vision (2011) 11(11): article 533
doi:10.1167/11.11.533
abstract
Chavane et al. 2012aChavane, F., Reynaud, A., Montardy, Q. and Masson G. S. Cortical origin of contextual modulations in motion integration: linking V1 population response to the behavioral ocular following response Journal of Vision August (2012) 12(9): 758
doi:10.1167/12.9.758
abstract
Davison 2011bDavison, A.Collaborative and reproducible simulation and data analysis with SumatraFront. Neuroinform. Conference Abstract: 4th INCF Congress of Neuroinformatics
doi:10.3389/conf.fninf.2011.08.00079
abstract
Davison 2011cDavison, A.Automated tracking of scientific computationsAMP 2011: Reproducible Research-Tools and Strategies for Scientific Computing, Vancouver, Canada, July 2011
Davison et al. 2013Davison, 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 forestNeuroinformatics 2013, Stockholm, Sweden, August (2013).
doi:10.3389/conf.fninf.2013.09.00020
abstract
Davison et al. 2013bDavison, A.P., Brizzi, T., Guarino, D., Manette, O.F., Monier, C., Sadoc, G. and Frégnac, Y.Helmholtz: a customizable framework for neurophysiology data management Neuroinformatics 2013, Stockholm, Sweden, 27 Aug - 29 Aug, (2013)
doi:10.3389/conf.fninf.2013.09.00025
abstract
Dehghani et al. 2011Dehghani, 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
Denker et al. 2011aDenker, M., Davison, A., Grün, S. and Diesmann, M. How collaborative projects that involve complicated electrophysiological data sets profit from workflow designPoster at the 4th INCF Congress of Neuroinformatics, Boston, USA
doi:10.3389/conf.fninf.2011.08.00080
fulltext
Denker et al. 2011bDenker, M., Davison, A., Grün, S. and Diesmann, M. Towards guiding principles in workflow design to facilitate collaborative projects involving massively parallel electrophysiological dataBMC Neuroscience 2011, 12(Suppl 1):P131
doi:10.1186/1471-2202-12-S1-P131
fulltext
Denker et al. 2011dDenker, M., Wirtssohn, S., Brochier, T., Grün, S. and Riehle, A.Mapping the synchronization structure of LFP activity in motor cortexPoster at the Ninth Göttingen Meeting of the German Neuroscience Society 2011: T21-9B abstract
Denker et al. 2011eDenker, M., Brochier, T., Grün, S. and Riehle, A.Spatial synchronization structure of field potentials and spikes in a delayed grip taskFront. Comput. Neurosci. (2011) Conference Abstract: BC11 : Computational Neuroscience & Neurotechnology Bernstein Conference & Neurex Annual Meeting 2011
doi:10.3389/conf.fncom.2011.53.00103
abstract
Denker et al. 2012Denker, M., Zehl, L., Brochier, T., Riehle, A. and Grün, S.Spatial organization of joint spiking and local field potential coherence in motor cortex.Poster contribution at conference Neurovisionen 8; Aachen, Germany; 10/26/2012.
Denker et al. 2012cDenker, M., Zehl, L., Brochier, T., Grün, S., Riehle, A.
Spatial organization of synchronized activity expressed by joint spiking and local field potentials in motor cortex
8th FENS Forum of European Neuroscience 2012, Barcelona, Spain
abstract
Denker et al. 2014aZehl, L., Kilavik, B., Diesmann, M., Brochier, T., Riehle, A. and Grün, S. Characterizing spatially organized LFP beta oscillations in the macaque motor cortexAREADNE 2014, Santorini, Greece, 06/25/2014 - 06/29/2014
Denker et al. 2015Denker, M., Yegenoglu, A., Holstein, D., Torre, E., Jennings, T., Davison, A. and Grün, S.elephant: An open-source tool for the analysis of electrophysiological dataProceedings of the 11th Meeting of the German Neuroscience Society, Neuroforum (2015) T27-2B
Denkeret al 2013Denker, M. ; Riehle, A. ; Diesmann, M. ; Grün, S.Relating excess spike synchrony to LFP-locked firing rate modulations.
Annual CNS Meeting 2013, Paris, France, 07/13/2013 - 07/18/2013
Eppler et al. 2011Eppler, J.M., Kunkel, S., Plesser, H.E., Gewaltig, M.-O., Morrison, A. and Diesmann, M.NEST: An efficient simulator for spiking neural network modelsPoster at the Ninth Göttingen Meeting of the German Neuroscience Society 2011: T27-9B abstract
Eppler et al. 2012Eppler, J. M., Djurfeldt, M., Muller, E., Diesmann, M. and Davison, A.Combining simulator independent network descriptions with run-time interoperability based on PyNN and MUSICIn Conference Abstract: 5th INCF Congress of Neuroinformatics, Front. Neuroinform. (2012)
EpplerM et al 2013Eppler, 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
Galluppi et al. 2012Galluppi, F., Davies, S., Rast, A., Sharp, T., Plana, L. A. and Furber, S. A hierachical configuration system for a massively parallel neural hardware platformCF '12 Proceedings of the 9th conference on Computing Frontiers, Cagliari (2012): 183-192
doi:10.1145/2212908.2212934
abstract, fulltext
Gorchetchnikov et al. 2011Gorchetchnikov, 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 networksFront. Neuroinform. Conference Abstract: 4th INCF Congress of Neuroinformatics
doi:10.3389/conf.fninf.2011.08.00098
abstract
Helias et al. 2012aHelias, 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 supercomputersINCF Meeting, 10-12 Sept 2012, Munich, Germany
Jordanet al 2015Jordan, 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 study11th Göttingen Meeting of the German Neuroscience Society, Göttingen, Germany, 03/18/2015 - 03/21/2015
Jordanet al. 2014bJordan, 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 SystemsOCCAM 2014, Osnabrueck, Germany, 05/07/2014 - 05/09/2014
Kunkel et al 2013S. 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 2013bKunkel, 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 2012Maksimov, 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. 2011bMartinez-Garcia, M., Insabato, A., Pardo-Vazquez, J.L., Acuña, C. and Deco, G.Neural correlates of confidence in decision-makingPoster at the ICON Congress, Palma de Mallorca, Spain, September 2011
Maximovet al 2013Maximov, A. ; van Albada, S. ; Diesmann, M.
Toward a biologically realistic spiking model of a rodent barrel column
Bernstein Conference 2013, Tuebingen, Germany, 09/25/2013 - 09/27/2013
Meso et al. 2013Meso, A., Rankin, J., Kornprobst, P. and Masson, G.S.Multi-stability in motion perception combines multiple underlying neural mechanismsCoSyne meeting. 1-4 March 2013, Salt-Lake City, USA.
Millner et al. 2012Millner, S., Hartel, A., Schemmel, J. and Meier, K.Towards biologically realistic multi-compartment neuron model emulation in analog VLSIESANN 2012 proceedings, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Bruges (Belgium), 25-27 April 2012 fulltext
Montagnini et al. 2012Montagnini, 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 modelPerception, ECVP Abstracts September 2012
Morrison et al. 2011Morrison, A., Denker, M., Wiebelt, B., Fliegner, D. and Diesmann, M.New possibilities for advanced analysis methods in neuroscience through modern approaches to trivial parallel data processingPoster at the Ninth Göttingen Meeting of the German Neuroscience Society 2011: T27-11B abstract
Partzsch et al. 2013Partzsch, J., Mayr, C., Vogginger, B., Schueffny, R., Rast, A., Plana, L., Furber, S.Live Demonstration: Ethernet Communication Linking Two Large-Scale Neuromorphic SystemsEuropean Conference on Circuit Theory and Design (2013)
doi:10.1109/ECCTD.2013.6662196
Peyrache et al. 2011bPeyrache, 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. 2013Pfeil, T., Scherzer, A.-C., Schemmel, J. and Meier, K.Neuromorphic learning towards nano second precisionNeural Networks (IJCNN), The 2013 International Joint Conference on (2013): 1-5
doi:10.1109/IJCNN.2013.6706828
abstract, fulltext
Pfeilet al 2014Pfeil, T., Jordan, J., Tetzlaff, T., Grübl, A., Schemmel, J., Diesmann, M. and Meier, K. Decorrelation of neural-network activity on heterogeneous neuromorphic hardware10th Bernstein Conference 2014, Goettingen, Goettingen, Germany, 09/02/2014 - 09/05/2014
doi:10.12751/nncn.bc2014.0221
abstract
Plesser et al. 2011Plesser, H.E., Crook, S. and Davison, A.P.Reproducible models and reliable simulations: Current trends in computational neuroscienceSIAM Computational Science and Engineering 2011, Reno, Nevada, February 2011
Potjans et al. 2011Potjans, T.C., Kunkel, S., Morrison, A., Plesser, H.E. and Diesmann, M.Beyond local cortical network modeling: linking microscopic and macroscopic connectivity in brainscale simulationsPoster at the Ninth Göttingen Meeting of the German Neuroscience Society 2011: T26-6A abstract
Raikov et al. 2011Raikov, I., Cannon, R., Clewley, R., Cornelis, H., Davison, A., De Schutter, E., Djurfeldt, M., Gleeson, P., Gorchetchnikov, A., Plesser, H.E., Hill, S., Hines, M., Kriener, B., Le Franc, Y., Lo, C.-C., Morrison, A., Muller, E., Ray, S., Schwabe, L. and Szatmary, B. NineML: the network interchange for neuroscience modeling languageBMC Neuroscience 2011, 12(Suppl 1):P330
doi:10.1186/1471-2202-12-S1-P330
abstract
Rast et al. 2013aRast, 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 interfaceNeural Networks, International Joint Conference on, 2013, Dallas, TX, USA
Tauste et al. 2013Tauste, A., Martinez-Garcia, M. and Romo, R. Estimation of directed information between simultaneous spike trains in decision makingWorkshop "New approaches to spike train analysis and neuronal coding", Computational Neuroscience Meeting, Paris, 2013.
Teeters et al. 2013Teeters, 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 HDF5Neuroinformatics 2013, Stockholm, Sweden, 27 Aug - 29 Aug, (2013)
doi:10.3389/conf.fninf.2013.09.00069
abstract
Van Albadaet al 2013van Albada, S. ; Maximov, A. ; Schmidt, M. ; Bakker, R. ; Schrader, S. ; Lester, D. ; Diesmann, M.
Cortical multi-layer models for down-scaled implementation on neuromorphic hardware and full-scale implementation on supercomputers
3rd BrainScaleS plenary meeting, Marseille, France, 03/21/2013 - 03/22/2013
Wirtssohn et al. 2011Wirtssohn, S., Brochier, T., Denker, M., Grün, S. and Riehle, A.Mapping the spatial structure of LFP activity in motor cortexPoster at the Ninth Göttingen Meeting of the German Neuroscience Society 2011: T21-8B abstract
Zehl et al. 2012Zehl, L., Brochier, T., Riehle, A., Grün, S., Denker, M.
Spatial organization of beta-band local field potential oscillations during delayed reach to grasp movements
3rd Workshop of the GDR 2904 'Multielectrode systems', Marseille, France (2012)
Zehl et al. 2013Zehl, L. ; Brochier, T. ; Riehle, A. ; Grün, S. ; Denker, M.
Spatio-temporal organization of local field potential oscillations in the monkey motor cortex
10th Göttingen Meeting of the German Neuroscience Society, NWG2013, Göttingen, Germany, 03/13/2013 - 03/16/2013
Zehl et al. 2014bZehl, L., Denker, M., Stoewer, A., Jaillet, F., Brochier, T., Riehle, A., Wachtler, T. and Grün, S. Metadata management for complex neurophysiological experimentsAREADNE 2014, Santorini, Greece, 06/25/2014 - 06/29/2014
Zehl et al. 2015Zehl, L., Denker, M., Stoewer, A., Jaillet, F., Brochier, T., Riehle, A., Wachtler, T. and Grün, S.How to efficiently organize and exploit metadata metadata of complex electrophysiological experimentsProceedings of the 11th Meeting of the German Neuroscience Society, Neuroforum (2015) T27-1C

Web publication (reviewed)

Destexhe and Bedard 2013Destexhe, A. and Bedard, C.Local field potentialAlain Destexhe and Claude Bedard (2013), Scholarpedia, 8(8):10713
doi:10.4249/scholarpedia.10713
fulltext

Master/Diploma Thesis

Kononov 2011Kononov, A.Testing of an Analog Neuromorphic Network ChipDiploma thesis (2011) abstract, fulltext

Bachelor Thesis

Friedrich 2015Friedrich, A.Charakterisierung von Adaption auf neuromorpher HardwareBachelor thesis at University of Heidelberg (2015) abstract, fulltext
Hornschild 2014Hornschild, A.Neural computation with stochastic synapsesBachelor thesis (2013) at RWTH Aachen University and Forschungszentrum Juelich GmbH

Web publication

Benjaminsson et al. 2011Benjaminsson, S., Silverstein, D., Herman, P., Melis, P., Slavnic, V., Spasojevic, M., Alexiev, K. and Lansner, A.Visualization of output from Large-Scale Brain SimulationsPartnership for Advanced Computing in Europe (PRACE), Project ID: PRPC06 fulltext

Other

Rehn, E., Benjaminsson, S. and Lansner, A. Event-based Sensor Interface for Supercomputer scale Neural NetworksKTH technical report TRITA-CSC-CB, ISSN 1653-5707; 2012:02 abstract, fulltext
Bachmannet al. 2014Bachmann, C., Tetzlaff, T., Kunkel, S. and Morrison, A. Effect of Alzheimer's disease on the dynamical and computational characteristics of recurrent neural networksINM Retreat 2014, Juelich, Germany, 01/07/2014 - 02/07/2014
Bedard and Destexhe 2013bBedard, C. and Destexhe, A.Letter to the editor: ELECTRIC MONOPOLES ARE INDEED COMPATIBLE WITH MAXWELL EQUATIONSJN Physiol (2013) 109(6): 1683
doi:10.1152/jn.01095.2012
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Denker et al. 2014cDenker, M., Yegenoglu, A., Davison, A. and Grün, S. Towards a Unifying Tool for the Analysis of Electrophysiological Data Sets based on NeoINM Retreat 2014, Jülich, Germany, 07/01/2014 - 07/02/2014
Denker et al. 2014dDenker, M., Zehl, L., Kilavik, B., Diesmann, M., Brochier, T., Riehle, A. and Grün, S. Characterizing Spatially Organized LFP Beta Oscillations in Motor CortexINM Retreat 2014, Jülich, Germany, 07/01/2014 - 07/02/2014
Jordan et al. 2014dJordan, 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 systems4th BrainScaleS Plenary meeting, Manchester, England, 03/20/2014 - 03/21/2014
Jordan et al. 2014eJordan, 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 systems4th BrainScaleS Plenary meeting, Manchester, England, 03/20/2014 - 03/21/2014
Jordanet al. 2014Petrovici, 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 SystemsINM Retreat 2014, Juelich, Germany, 07/01/2014 - 07/02/2014
Kunkel et al. 2012Kunkel, 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 Scalein Binder K, Münster G, Kremer M (Eds) NIC Symposium 2012 Proceedings NIC Series Vol. 45, page 81, Jülich, Germany, ISBN 978-3-89336-758-0 fulltext
Kunkelet al. 2014bPlesser, H.E., Helias, M., Diesmann, M. and Morrison, A. The NEST 4g kernel: highly scalable simulation code from laptops to supercomputersBrainScaleS CodeJam Workshop 6, Juelich, Germany, 01/27/2014 - 01/29/2014 BibTeX
Maximov et al. 2014Maximov, 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
van Albada and Rowley 2014van Albada, S. and Rowley, A. BrainScaleS Demo 1.1 - Microcircuit model of early sensory cortex. Status updateBrainScaleS Demo 1, 2 and 3 workshop, Gif-sur-Yvette, France, 11/25/2014 - 11/26/2014
Zehl et al. 2014Denker, M., Stoewer, A., Jaillet, F., Brochier, T., Riehle, A., Wachtler, T. and Grün, S. Organizing Metadata of Complex Neurophysiological ExperimentsINM Retreat 2014, Juelich, Germany, 07/01/2014 - 07/02/2014


 
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26 August 2016