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362 publication entries, 20 of them (printed in bold in the list) acknowledge the project support.
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Paper (reviewed)

Ali and Thomson 2007Ali, A.B. and Thomson, A.M. Synaptic a5 subunit containing GABAA receptors mediate IPSPs elicited by dendrite-targeting cells in rat neocortex Cerebral Cortex (2008) 18(6):1260-1271
doi:10.1093/cercor/bhm160
abstract
Ali and Todorova 2010Ali, A.B. and Todorova, M.Asynchronous release of GABA via tonic cannabinoid receptor activation at identified interneuron synapses in rat CA1European Journal of Neuroscience (2010) 31(7):1196-1207
doi:10.1111/j.1460-9568.2010.07165.x
abstract
Ali et al. 2007Ali, A.B., Bannister, A.P. and Thomson, A.M. Robust correlations between action potential duration and the properties of synaptic connections in layer 4 interneurones in juvenile and adult neocortical slices.J. Physiol. (2007) 580.1: 149-169
Badel et al. 2008Badel, L., Lefort, S., Brette, R., Petersen, C.C.H., Gerstner, W. and Richardson, M.J.E. Dynamic I-V curves are reliable predictors of naturalistic pyramidal-neuron voltage tracesJournal of Neurophysiology (2008) 99: 656-666 fulltext
Badel et al. 2008bBadel, L., Lefort, S., Berger, T.K., Petersen, C.C.H., Gerstner, W. and Richardson, M.J.E. Extracting non-linear integrate-and-fire models from experimental data using dynamic I-V curvesBiological Cybernetics (2008) 99(4-5): 361-370 abstract, fulltext
Badel et al. 2008cBadel, L., Gerstner, W. and Richardson, M.J.E. Spike-triggered averages for passive and resonant neurons receiving filtered excitatory and inhibitory synaptic drivePhys. Rev. E (2008) 78:011914
doi:10.1103/PhysRevE.78.011914
abstract, fulltext
Badoual et al. 2006Badoual, M., Zou, Q., Davison, A.P., Rudolph, M., Bal, T., Frégnac, Y. and Destexhe, A.Biophysical and phenomenonological models of multiple spike interactions in spiketiming dependent plasticity.International Journal of Neural Systems (2006) 16: 1-19 abstract, fulltext
Bannister and Thomson 2007Bannister, A.P. and Thomson, A.M.Dynamic properties of excitatory synaptic connections involving layer 4 pyramidal cells in adult rat and cat neocortexCereb Cortex (2007) 17(9):2190-203 abstract, fulltext
Barthélemy et al. 2008Barthélemy, F., Perrinet, L., Castet, E. and Masson, G. Dynamics of distributed 1D and 2D motion representations for short-latency ocular followingVision Research (2008) 48(4):501-522 abstract
Benjaminsson et al. 2010Benjaminsson, S., Fransson, P. and Lansner, A.A novel model-free data analysis technique based on clustering in a mutual information space: application to resting-state fMRIFront. Syst. Neurosci. (2010) 4:34
doi:10.3389/fnsys.2010.00034
abstract, fulltext
Bill et al. 2010Bill, J., Schuch, K., Brüderle, D., Schemmel, J., Maass, W. and Meier, K.Compensating inhomogeneities of neuromorphic VLSI devices via short-term synaptic plasticityFront. Comput. Neurosci. (2010) 4:129.
doi:10.3389/fncom.2010.00129
abstract, BibTeX
Boucsein et al. 2009aBoucsein, C., Tetzlaff, T., Meier, M., Aertsen, A. and Naundorf, B.Dynamical response properties of neocortical neuron ensembles: multiplicative versus additive noiseJournal of Neuroscience (2009) 29(4):1006-1010
doi:10.1523/JNEUROSCI.3424-08.2009
fulltext
Bremaud et al. 2007Bremaud, A., West, D.C. and Thomson, A.M. Binomial parameters differ across neocortical layers and with different classes of connections in adult rat and cat neocortex. Supporting Material: http://www.pnas.org/cgi/content/full/0705661104/DC1PNAS (2007) 104(35):14134-14139 abstract, fulltext
Bremaud et al. 2008Bremaud, A., West, D.C. and Thomson, A.M.Binomial parameters differ across neocortical layers and with different classes of connections in adult rat and cat neocortexPNAS (2007) 104(35): 14134-14139 abstract, fulltext
Brette et al. 2008Brette, R., Piwkowska, Z., Monier, C., Rudolph-Lilith, M., Fournier, J., Levy, M., Fregnac, Y., Bal, T. and Destexhe, A.High-resolution intracellular recordings using a real-time computational model of the electrode. Neuron (2008) 59: 379-391 fulltext
Brette et al. 2009Brette, R., Piwkowska, Z., Monier, C., Gomez Gonzalez, JF., Fregnac, Y., Bal, T. and Destexhe, A.Dynamic clamp with high resistance electrodes using active electrode compensation in vitro and in vivo. Dynamic-clamp: From Principles to Applications, Edited by Destexhe A and Bal T, Springer, new York (2009). pp. 347-382.
Brüderle et al. 2009Brüderle, D., Müller, E., Davison, A., Muller, E., Schemmel, J. and Meier, K.Establishing a novel modeling tool: A Python-based interface for a neuromorphic hardware systemFront. Neuroinform. (2009) 3:17
doi:10.3389/neuro.11.017.2009
abstract, fulltext, BibTeX
Bruederle 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 systems.Biol Cybern. (2011) 104(4-5):263-96
doi:10.1007/s00422-011-0435-9
fulltext, BibTeX
Budd et al. 2010Budd, J.M.L., Kovács, K., Ferecskó, A.S., Buzás, P., Eysel, Ú.T. and Kisvárday, Z.F.Neocortical Axon Arbors Trade-off Material and Conduction Delay ConservationPLoS Comput Biol (2010) 6(3): e1000711
doi:10.1371/journal.pcbi.1000711
fulltext
Buesing and Maass 2009Buesing, L., and Maass, W.A Spiking Neuron as Information BottleneckNeural Computation (2010) 22(8): 1961-1992
doi:10.1162/neco.2010.08-09-1084
abstract
Buonomano and Maass 2009Buonomano,D., and Maass., W.State-dependent computations: Spatiotemporal processing in cortical networksNature Reviews in Neuroscience (2009) 10:113-125 fulltext
Buzas et al. 2006Buzás, P., Kovács, K., Ferecskó, A.S., Budd, J.M., Eysel, U.T. and Kisvárday, Z.F. Model-based analysis of excitatory lateral connections in the visual cortexThe Journal of Comparative Neurology (2006) 499(6): 861 - 881 abstract
Cessac et al. 2009Cessac, B., Paugam-Moisy, H. and Viéville, T.Overview of facts and issues about neural coding by spikesJournal of Physiology-Paris (2010) 104(1-2): 5-18
doi:10.1016/j.jphysparis.2009.11.002
fulltext
Chemla and Chavane 2010bChemla, S. and Chavane, F.Voltage-sensitive dye imaging: Technique review and modelsJournal of Physiology-Paris (2010) 104(1-2):40-50
doi:10.1016/j.jphysparis.2009.11.009
Chemla et al. 2009Chemla, S., Vieville, T. and Chavane, F. Voltage-Sensitive Dye Imaging: Technique review and ModelsJ Physiol Paris. (2010) 104(1-2):40-50
doi:10.1016/j.jphysparis.2009.11.009
abstract, fulltext
Coath et al , 2008Coath, M., Balaguer-Ballester, E., Denham, S.L. and Denham, M.The linearity of emergent spectro-temporal receptive fields in a model of auditory cortex.Biosystems. (2008) 94(1-2):60-67
Davison 2009bDavison, A.P., Brüderle, D., Kremkow, J. and Muller, E. A common language for neuronal networks in software and hardware. The Neuromorphic Engineer (2010)
doi:10.2417/1201001.1712
abstract, fulltext
Davison et al. 2009Davison, A.P., Brüderle, D., Eppler, J., Kremkow, J., Muller, E., Pecevski, D., Perrinet, L. and Yger, P.PyNN: a common interface for neuronal network simulatorsFrontiers in Neuroinformatics (2009) 2:11
doi:10.3389/neuro.11.011.2008
Davison et al. 2009cDavison, A.P., Hines, M. and Muller, E Trends in programming languages for neuroscience simulations.Frontiers in Neuroscience (2009) 3:3
doi:10.3389/neuro.01.036.2009
Destexhe et al. 2007Destexhe, A., Hughes, S.W., Rudolph, M. and Crunelli, V.Are corticothalamic `up' states fragments of wakefulness? Trends in Neurosciences (2007) 30: 334-342 fulltext
Dimova and Denham 2009Dimova, K. and Denham, M.A neurally plausible model of the dynamics of motion integration in smooth eye pursuit based on recursive Bayesian estimation.Biol Cybern. (2009) 100(3):185-201 abstract, fulltext
Dimova and Denham 2010Dimova, K. and Denham, M.J.A model of plaid motion perception based on recursive Bayesian integration of the 1-D and 2-D motions of plaid features.Vision Research (2010) 50 (p): 585-597
doi:10.1016/j.visres.2010.01.004
abstract
Djurfeldt et al. 2008Djurfeldt, M., Lundqvist, M., Johansson, C., Rehn, M., Ekeberg, Ö. and Lansner, A. Brain-scale simulation of the neocortex on the Blue Gene/L supercomputerIBM J Research and Development (2008) 52: 31-42 abstract, fulltext
Djurfeldt et al. 2008bDjurfeldt, M., Ekeberg, Ö. and Lansner, A.Large-scale modeling ? a tool for conquering the complexity of the brain. Front. Neuroinform. (2008) 2:1 fulltext
Ego-Stengel et al. 2005Ego-Stengel, V., Mello e Souza, T., Jacob, V. and Shulz, D.E. Spatiotemporal characteristics of neuronal sensory integration in the barrel cortex of the ratJ Neurophysiol (2005) 93:1450-1467
El Boustani et al. 2009El Boustani, S., Marre, O., Behuret, S., Baudot, P., Yger, P., Bal, T., Destexhe, A. and Fregnac, Y.Network-State Modulation of Power-Law Frequency-Scaling in Visual Cortical NeuronsPLoS Comput Biol (2009) 5(9): e1000519
doi:10.1371/journal.pcbi.1000519
fulltext
El Boustani et al., 2007El Boustani, S., Pospischil, M., Rudolph-Lilith, M. and Destexhe, A.Activated cortical states: experiments, analyses and modelsJournal of Physiology (2007) 101: 99-109
Eppler 2009Eppler, J.M.PyNEST: A Python interface to NESTThe Neuromorphic Engineer (2009)
doi:10.2417/1200912.1703
fulltext
Eppler et al. 2009Eppler, J.M., Helias, M., Muller, E., Diesmann, M. and Gewaltig, M.-O.PyNEST: a convenient interface to the NEST simulatorFrontiers in Neuroinformatics (2009) 2:12
doi:10.3389/neuro.11.012.2008
abstract, fulltext
Escobar et al. 2009Escobar, M.-J., Masson, G.S., Vieville, T. and Kornprobst, P.Action recognition using a bio-inspired feedforward spiking networkInternational Journal of Computer Vision (2009) 82: 284-301 abstract
Faugeras et al. 2007bFaugeras, O., Frégnac, Y. and Samuelides, M. A Future for Systems and Computational Neuroscience in France?Journal of Physiology (Paris). A special issue on « Neuro-Computation : from sensorimotor integration to computational frameworks ». (2007) 101 : 1-8.
Franke et al. 2009Franke, F., Natora, M., Boucsein, C., Munk, M.H. and Obermayer, K.An online spike detection and spike classification algorithm capable of instantaneous resolution of overlapping spikesJ Comput Neurosci (2009)
doi:10.1007/s10827-009-0163-5
abstract
Frégnac 2009Fregnac, Y., Baudot, P., Chavane, F., Marre, O., Monier, C., Pananceau, M. and Sadoc, G.Multiscale functional imaging: reconstructing network dynamics from the synaptic echoes recorded in a single visual cortex neuron.Bull Acad Natl Med. (2009) 193(4): 851-862. abstract
Frégnac et al. 2010Frégnac, Y., Baudot, P., Chavane, F., Lorenceau, J., Marre, O., Monier, C., Pananceau, M., Carelli, P. and Sadoc, G. Multiscale functional imaging in V1 and cortical correlates of apparent motion. Dynamics of visual motion processing, Editors (G. Masson and U. Ilg), Springer.(2010) pp. 73-94.
doi:10.1007/978-1-4419-0781-3_4
abstract
Fuentealba et al. 2008Fuentealba, P., Begum, R., Capogna, M., Jinno, S., Márton, L.F., Csicsvari, J., Thomson, A.M., Somogyi, P. and Klausberger, T.Ivy Cells: A population of nitric-oxide-producing, slow-spiking GABAergic neurons and their involvement in hippocampal network activityNeuron (2008) 57: 917-29 abstract
Gleeson et al. 2010Gleeson, P., Crook, S., Cannon, R.C., Hines, M.L., Billings, G.O., Farinella, M., Morse, T.M., Davison, A.P., Ray, S., Bhalla, U.S., Barnes, S.R., Dimitrova, Y.D. and Silver, R.A.NeuroML: A language for describing data driven models of neurons and networks with a high degree of biological detail.PLoS Comput Biol (2010) 6(6): e1000815
doi:10.1371/journal.pcbi.1000815
abstract
Gretton et al. 2008Gretton, A., Borgwardt, K.M., Rasch, M., Scholkopf, B. and Smola, A.J.A Kernel Method for the two-sample-problemJournal of Machine Learning Research (2008) : 1-10 fulltext
Grimbert and Faugeras 2006Grimbert, F. and Faugeras, O.Bifurcation Analysis of Jansen's Neural Mass ModelNeural Computation (2007) 18: 3052-3068 abstract
Häusler and Maass 2007Häusler, S. and Maass, W.A statistical analysis of information processing properties of lamina-specific cortical microcircuit modelsCerebral Cortex (2007) 17(1):149-162 fulltext
Haeusler et al. 2007Haeusler, S. and Maass, W. A statistical analysis of information processing properties of lamina-specific cortical microcircuit modelsCerebral Cortex (2007) 17(1):149-162 fulltext
Haeusler et al. 2008Haeusler, S., Schuch, K. and Maass, W.Motif distribution, dynamical properties, and computational performance of two data-based cortical microcircuit templates.J. of Physiology (2009) 103(1-2):73-87 abstract
Helias et al. 2008Helias, M., Rotter, S., Gewaltig, M. and Diesmann, M.Structural plasticity controlled by calcium based correlation detection Front. Comput. Neurosci. (2008) 2:7. abstract
Hines et al. 2009Hines, M., Davison, A.P. and Muller, E.NEURON and PythonFrontiers in Neuroinformatics (2009) 3:1
doi:10.3389/neuro.11.001.2009
abstract, fulltext
Hoffart et al. 2009Hoffart, L., Conrath, J., Matonti, F., Wotawa, N., Chavane, F., Ridings, B. and Masson, G.S.A 3T fMRI study of cortical projection of visual scotomas: preliminary results[Article in French] J Fr Ophtalmol. (2009) 32(1):41-9 abstract
Hoffart et al. 2010Hoffart, L., Matonti, F., Conrath, J., Ridings, B., Masson, G.S., Chavane, F.Inhibition of corneal neovascularization after alkali burn: comparison of different doses of bevacizumab in monotherapy or associated with dexamethasoneClinical & Experimental Ophthalmology (2010) 38(4):346?352
doi:10.1111/j.1442-9071.2010.02252.x
Holzmann and Hausser 2009Holzmann, G. and Hauser, HEcho State Networks with Filter Neurons and a Delay & Sum ReadoutNeural Networks (201) 23(2): 244-256
doi:10.1016/j.neunet.2009.07.004
fulltext
Indiveri et al.Indiveri, G., Linares-Barranco, B., Hamilton, T. J., van Schaik, A., Etienne-Cummings, R., Delbruck, T., Liu, S.-C., Dudek, P., Häfliger, P., Renaud, S., Schemmel, J., Cauwenberghs, G., Arthur, J., Hynna, K., Folowosele, F., Saïghi, S., Serrano-Gotarredona, T., Wijekoon, J., Wang, Y. and Boahen, K. Neuromorphic silicon neuron circuitsFront. Neurosci. (2011) 5:73
doi:10.3389/fnins.2011.00073
fulltext, BibTeX
Jacob et al. 2007Jacob, V., Brasier, D.J., Erchova, I., Feldman, D. and Shulz, D.E.Spike Timing-Dependent Synaptic Depression in the In Vivo Barrel Cortex of the RatThe Journal of Neuroscience (2007) 27: 1271-1284
Jacob et al., 2008Jacob, V., Le Cam, J., Ego-Stengel, V. and Shulz, D.E.Emergent Properties of Tactile Scenes Selectively Activate Barrel Cortex NeuronsNeuron (2008) 60:1112-1125
doi:10.1016/j.neuron.2008.10.017
Jolivet et al. 2008Jolivet, R., Kobayashi, R., Rauch, A., Naud, R., Shinomoto, S. and Gerstner, W.A benchmark test for a quantitative assessment of simple neuron modelsJournal of Neuroscience Methods (2008) 169: 417-424 fulltext
Jolivet et al. 2008aJolivet, R., Schürmann, F., Berger, T.K., Gerstner, W. and Roth, A.The Quantitative Single-Neuron Modeling CompetitionBiological Cybernetics archive (2008) 99 (4-5): 417-426 abstract
Kaske and Maass 2006Kaske, A. and Maass, W.A model for the interaction of oscillations and pattern generation with real-time computing in generic neural microcircuit modelsNeural Networks (2006) 19(5):600-609 fulltext
Klampfl et al. 2007bKlampfl, S., Legenstein, R. and Maass, W.Spiking neurons can learn to solve information bottleneck problems and to extract independent componentsNeural Comput. (2009) 21(4):911-59.
doi:10.1162/neco.2008.01-07-432
abstract
Kremkow et al. 2006Kremkow, J., Kumar, A., Rotter, S. and Aertsen, A.Emergence of population synchrony in a layered network of the cat visual cortexNeurocomputing (2007) 70(10-12): 2069-2073 abstract
Kremkow et al. 2009cKremkow, J., Perrinet, L., Masson, G.S. and Aertsen, A.Functional consequences of correlated excitatory and inhibitory conductancesJournal of Computational Neuroscience (2010) 28(3): 579-594
doi:10.1007/s10827-010-0240-9
abstract
Kriener et al 2008Kriener, B., Tetzlaff, T., Aertsen, A., Diesmann, M. and Rotter, S.Correlations and population dynamics in cortical networksNeural Computation (2008) 20: 2185-2226
Kriener et al. 2009Kriener, B., Helias, M., Aertsen, A. and Rotter, S. Correlations in spiking neuronal networks with distance dependent connections.J Comput Neurosci (2009) 27: 177-200
doi:10.1007/s10827-008-0135-1
abstract, fulltext
Kumar et al. 2008aKumar, A., Schrader, S., Aertsen, A. and Rotter, S.The high-conductance state of cortical networksNeural Computation (2008) 20: 1-43 abstract
Kumar et al. 2008bKumar, A., Rotter, S. and Aertsen, A.Conditions for propagating synchronous spiking and asynchronous firing rates in a cortical network modelJ Neurosci (2008) 28: 5268-5280
Le Be and Markram 2006Le Be, J.V. and Markram, H.Spontaneous and evoked synaptic rewiring in the neonatal neocortexProc Natl Acad Sci U S A. (2006) 103(35):13214-13219
Legenstein and Maass 2006Legenstein, R.A. and Maass, W.A criterion for the convergence of learning with spike timing dependent plasticityAdvances in Neural Information Processing System (MIT Press). (2006) 18:763-770 abstract, fulltext
Legenstein and Maass 2007Legenstein, R. and Maass, W.On the classification capability of sign-constrained perceptronsNeural Comput. (2008) 20(1):288-309 abstract, fulltext
Legenstein and Maass 2007cLegenstein, R.A. and Maass, W.Edge of chaos and prediction of computational performance for neural microcircuit modelsNeural Networks (2007) 20(3): 323-334 abstract, fulltext
Legenstein et al. 2008Legenstein, R., Pecevski, D. and Maass, W.A learning theory for reward-modulated spike-timing-dependent plasticity with application to biofeedbackPLoS Computational Biology (2008) 4(10): e1000180 abstract, fulltext
Lévi et al. 2009Levi, T., Tomas, J., Lewis, N. and Fouillat, P.CMOS Resizing Methodology for Analog CircuitsIEEE Design and Test of Computers (2009) 26: 78-87
Long et al. 2009Long, P., Mercer, A., Begum, R., Stephens, G.J., Sihra, T.S. and Jovanovic JNNerve Terminal GABAA Receptors Activate Ca2+/Calmodulin-dependent Signaling to Inhibit Voltage-gated Ca2+ Influx and Glutamate ReleaseThe Journal of Biological Chemistry (2009) 284:8726-8737
doi:10.1074/jbc.M805322200
abstract
Lucas-Meunier et al. 2009Lucas-Meunier, E., Monier, C. , Amar, M., Baux, G., Frégnac, Y. and Fossier, P.Involvement of nicotinic and muscarinic receptors in the endogenous cholinergic modulation of the balance between excitation and inhibition in the young rat visual cortex. Cerebral Cortex. (2009) 19 (10): 2411-2427. fulltext
Lundqvist et al. 2005Lundqvist, M., Rehn, M. and Lansner, A.Attractor dynamics in a modular network model of the cerebral cortexNeurocomputing (2005) 69: 1155-1159
Lundqvist et al. 2006Lundqvist, M., Rehn, M., Djurfeldt, M. and Lansner, A.Attractor dynamics in a modular network model of the neocortexNetwork Computation in Neural Systems (2006) 17: 253-276
Lundqvist et al. 2009Lundqvist, M., Compte, A. and Lansner, A.Bistable, Irregular Firing and Population Oscillations in a Modular Attractor Memory NetworkPLoS Comput Biol. (2010) 6(6): e1000803
doi:10.1371/journal.pcbi.1000803
abstract
Maass et al. 2006Maass, W., Joshi, P. and Sontag, E.D.Principles of real-time computing with feedback applied to cortical microcircuit modelsAdvances in Neural Information Processing Systems (MIT Press) (2006) 18:835-842. abstract, fulltext
Maass et al. 2007Maass, W., Joshi, P. and Sontag, E. D.Computational aspects of feedback in neural circuitsPLOS Computational Biology (2007) 3(1):e165, 1-20 fulltext
Marre et al. 2009Marre, O., Yger, P., Davison, A.P and Frégnac, Y.Reliable recall of spontaneous activity patterns in cortical networksJ. of Neuroscience (2009) 29(46):14596-14606
doi:10.1523/JNEUROSCI.0753-09.2009
abstract
Marre et al. 2009bMarre, O., El Boustani, S., Frégnac, Y. and Destexhe, A.Prediction of spatio-temporal patterns of neural activity from pairwise correlations.Physical Review Letters (2009) 102(13):138101 abstract
Marre et al. 2009cMarre, O., Yger, P., Davison, A. and Frégnac, Y. Reliable recall of spontaneous activity patterns in chaotic cortical networks. The Journal of Neuroscience (2009) 29(46):14596-14606.
Mayr et al. 2007bMayr, C., Heittmann, A. and Schüffny, R.Gabor-like Image Filtering Using a Neural MicrocircuitIEEE Transactions on Neural Networks (2007) 18(3): 955-959
doi:10.1109/TNN.2007.891687
abstract, BibTeX
Mayr et al. 2009Mayr, C. and Partzsch, J. and Schüffny, R.Transient responses of activity-dependent synapses to modulated pulse trains Neurocomputing (2009) 73(1-3): 99-105
doi:10.1016/j.neucom.2009.02.019
abstract, BibTeX
Mayr et al. 2009bMayr, C. and Partzsch, J. and Schüffny, R.On the Relation Between Bursts and Dynamic Synapse Properties: a Modulation-based AnsatzComputational Intelligence and Neuroscience (2009) :ID 658474
doi:10.1155/2009/658474
fulltext, BibTeX
Meier et al. 2008Meier, R., Egert, U., Aertsen, A. and Nawrot, M.P.FIND - a unified framework for neural data analysisNeural Networks (2008) 21(8): 1085-1093 fulltext
Mercer et al. 2007Mercer, A., Bannister, A.P. and Thomson, A.M.Electrical coupling between pyramidal cells in adult cortical regions.Brain Cell Biology (2007) 35 (1): 13-27 abstract
Migliore et al. 2006Migliore, M., Cannia, C., Lytton, W.W., Markram, H. and Hines, M.L.Parallel network simulations with NEURONJ Comput Neurosci. (2006) 21(2):119-129 fulltext
Monier et al. 2007Monier, C., Fournier, J. and Frégnac, Y.In vitro and in vivo measures of evoked excitatory and inhibitory conductance dynamics in sensory corticesJ Neurosci Methods. (2008) 169(2): 323-65 fulltext
Monier et al. 2008Monier, C., Fournier, J. and Frégnac, Y.In vitro and in vivo measures of evoked excitatory and inhibitory conductance dynamics in sensory corticesJ. Neuroscience Methods (2008) 169(2): 323-365
Montagnini et al. 2007Montagnini, A., Mamassian, P., Perrinet, L.U., Castet, E. and Masson, G.S.Bayesian modelling of dynamic motion integrationJournal of Physiology (Paris) (2007) 101(1-3):64-77
Montemurro et al. 2008Montemurro, M.A., Rasch, M.J., Murayama, Y., Logothetis, N.K. and Panzeri, S.Phase-of-firing coding of natural visual stimuli in primary visual cortexCurr Biol. (2008) Mar 11;18(5):375-80
Morrison et al. 2007Morrison, A., Aertsen, A. and Diesmann, M.Spike-Timing-Dependent Plasticity in Balanced Random NetworksNeural Computation (2007) 19:1437-1467 abstract, fulltext
Morrison et al. 2007bMorrison, A., Straube, S., Plesser, H.E. and Diesmann, M.Exact subthreshold integration with continuous spike times in discrete time neural network simulationsNeural Computation (2007) 19: 47-79
Moser et al. 2010Moser, E.I., Corbetta, M., Desimone, R., Frégnac, Y., Fries, P., Graybiel, A.M., Haynes, J-D., Itti, L., Melloni, L., Monyer, H., Singer, W., Von der Malsburg, C. and Wilson, M.A. Coordination in the brain« Dynamic Coordination in the Brain: From Neurons to Mind », Strüngmann Forum Report, vol. 5. (Eds. Von der Malsburg, C., W. A. Phillips, and W. Singer). Cambridge, MA: MIT Press. (2010) pp. 193-214.
Naud et al. 2008Naud, R., Marcille, N., Clopath, C. and Wulfram, G.Firing patterns in the adaptive exponential integrate-and-fireBiological Cybernetics (2009) vol. 99, num. 4-5: 335-347 abstract, fulltext
Nawrot et al. 2007aNawrot, M.P., Boucsein, C., Rodriguez-Molina,V., Aertsen, A., Grün, S. and Rotter, S.Serial interval statistics of spontaneous activity in cortical neurons in vivo and in vitro.Neurocomputing (2007) 70: 1717-1722 abstract
Nawrot et al. 2007bNawrot, M.P., Boucsein, C., Rodriguez-Molina, V., Riehle, A., Aertsen, A., Rotter, S.Measurement of variability dynamics in cortical spike trains.Journal of Neuroscience Methods (2008) 169(2): 374-390 fulltext
Nawrot et al. 2008Nawrot, M.P., Boucsein, C., Rodriguez-Molina, V., Riehle, A., Aertsen, A. and Rotter, S.Measurement of variability dynamics in cortical spike trainsJ Neurosci Meth (2008) 169: 374-390 fulltext
Nawrot et al. 2009Nawrot, M.P., Schnepel, P., Aertsen, A. and Boucsein, C.Precisely timed signal transmission in neocortical networks with reliable intermediate-range projectionsFrontiers in Neural Circuits (2009) 3 (1): 1-11
doi:10.3389/neuro.04.001.2009
abstract
Nessler et al. 2008Nessler, B., Pfeiffer, M. and Maass, W.Hebbian learning of Bayes optimal decisionsIn Proc. of NIPS 2008: Advances in Neural Information Processing Systems, MIT Press (2009) 21: fulltext
Nikolic et al. 2007Nikolic, D., Haeusler, S., Singer, W. and Maass, W.Temporal dynamics of information content carried by neurons in the primary visual cortexAdvances in Neural Information Processing Systems (2007) 19:1041-1048. MIT Press
Nikolic et al. 2010Nikolic, D., Haeusler, S., Singer, W. and Maass, W.Distributed Fading Memory for Stimulus Properties in the Primary Visual CortexPLoS Biol (2009) 7(12): e1000260
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Partzsch et al. 2007Partzsch, J. and Mayr, C. and Schüffny, R.Building Gabor Filters from Retinal ResponsesInternational Journal of Biomedical Sciences (2007) 2(2): 119-124 fulltext, BibTeX
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Pfister et al. 2006Pfister, J.P., Toyoizumi, T., Barber, D. and Gerstner, W.Optimal Spike-Timing Dependent Plasticity for Precise Action Potential Firing in supervised learningNeural Computation (2006) 18:1309-1339
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Plesser and Diesmann 2009Plesser, H.E. and Diesmann, M.Simplicity and efficiency of integrate-and-fire neuron modelsNeural Computation (2009) 21: 353-359 abstract
Pospischil et al. 2007Pospischil, M., Piwkowska, Z., Rudolph, M., Bal, T. and Destexhe, A.Calculating event-triggered average synaptic conductances from the membrane potentialJournal of Neurophysiology (2007) 97: 2544-2552 abstract, fulltext
Pospischil et al. 2008Pospischil, M., Monier, C., Frégnac, Y., Markram, H. and Destexhe, A.Minimal Hodgkin-Huxley type models for different classes of cortical and thalamic neuronsBiol Cybern. (2008) 99(4-5): 427-41 abstract
Pospischil et al. 2009Pospischil, M., Piwkowska, Z., Bal, T. and Destexhe, A.Extracting synaptic conductances from single membrane potential tracesNeuroscience (2009) 158: 545-552 fulltext
Potjans et al. 2009Potjans, W., Morrison, A. and Diesmann, M.A spiking neural network model of an actor-critic learning agentNeural Computation (2009) 21: 301-339 abstract, fulltext
Rasch et al. 2008Rasch, M.J.,Gretton, A., Murayama, Y., Maass, W. and Logothetis, N.K. Inferring spike trains from local field potentialsJournal of Neurophysiology (2008) 99:1461-1476 fulltext
Renaud et al. 2010Renaud, S., Tomas, T., Lewis, N., Bornat, Y., Daouzli, A., Rudolph, M., Destexhe, A., Saïghi, S.PAX: A mixed hardware/software simulation platform for spiking neural networksNeural Networks (2010) 23(7): 905-16
doi:10.1016/j.neunet.2010.02.006
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Rochefort 2009Rochefort, N.L., Buzás, P., Quenech'du, N., Koza, A., Eysel, U.T., Milleret, C. and Kisvárday, Z.F. Functional Selectivity of Interhemispheric Connections in Cat Visual CortexCerebral Cortex (2009) 19(10):2451-2465
doi:10.1093/cercor/bhp001
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Rochefort et al. 2007Rochefort, N.L., Buzás, P., Kisvárday, Z.F., Eysel, U.T. and Milleret, C.Layout of transcallosal activity in cat visual cortex revealed by optical imagingNeuroImage (2007) 36: 804-821 fulltext
Rodriguez-Molina et al. 2007Rodriguez-Molina, V.M., Aertsen, A. and Heck, D.Spike Timing and Reliability in Cortical Pyramidal Neurons: Effects of EPSC Kinetics, Input Synchronization and Background Noise on Spike TimingPLoS ONE. (2007) 2(3): e319. abstract, fulltext
Rudolph and Destexhe 2006Rudolph, M. and Destexhe, A.Integrate-and-fire neurons with high-conductance state dynamics for event-driven simulation strategiesNeural Computation (2006) 18: 2146-2210 abstract, fulltext
Rudolph and Destexhe 2006bRudolph, M. and Destexhe, A.On the use of analytic expressions for the voltage distribution to analyze intracellular recordingsNeural Computation (2006) 18: 2917-2922 abstract, fulltext
Rudolph et al. 2007Rudolph, M., Pospischil, M., Timofeev, I. and Destexhe, A.Inhibition Determines Membrane Potential Dynamics and Controls Action Potential Generation in Awake and Sleeping Cat CortexThe Journal of Neuroscience (2007) 27(20): 5280-5290 abstract
Sandström et al. 2009Sandström, M., Lansner, A., Hellgren Kotaleski, J. and Rospars, J.-P.Modeling the response of a population of olfactory receptor neurons to an odorant." doi: 10.1007/s10827-009-0147-5J Comput Neurosci (2009) abstract, fulltext
Schemmel et al. 2008aSchemmel, J., Fieres, J. and Meier, K.Realizing Biological Spiking Network Models in a Configurable Wafer-Scale Hardware System IEEE International Joint Conference on Neural Networks IJCNN (2008) : 969-976
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Schemmel et al. 2008bSchemmel, J., Fieres, J. and Meier, K.Wafer-Scale Integration of Analog Neural Networks IEEE International Joint Conference on Neural Networks IJCNN (2008) : 431-438
doi:10.1109/IJCNN.2008.4633828
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Schrader et al. 2008Schrader, S., Gruen, S., Diesmann, M., Gerstein, G.Detecting synfire chain activity using massively parallel spike train recordingsJ Neurophysiol (2008) 100: 2165-2176 abstract
Silberberg and Markram 2007Silberberg, G. and Markram, H.Disynaptic Inhibition between Neocortical Pyramidal Cells Mediated by Martinotti CellsNeuron (2007) 53(5): 735-746 abstract
Steimer et al. 2008Steimer, A., Maass, W. and Douglas, R.Belief-propagation in networks of spiking neuronsNeural Computation (2009) 21(9): 2502-2523
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Stepanyants et al. 2007Stepanyants, A., Hirsch, J.A., Martinez, L.M., Kisvárday, Z.F., Ferecskó, A.S. and Chklovskii, D.B. Local Potential Connectivity in Cat Primary Visual CortexCerebral Cortex (2008) 18(1): 13-28 abstract
Stepanyants et al. 2009Stepanyants, A., Martinez, L. M., Ferecskó, A. S. and Kisvárday, Z. F. The fractions of short- and long-range connections in the visual cortexPNAS (USA) (2009) 106:3555-3560.
doi:10.1073/pnas.0810390106
Sussillo et al. 2007Sussillo, D., Toyoizumi, T. and Maass, W.Self-tuning of neural circuits through short-term synaptic plasticityJ Neurophysiol (2007) 97: 4079-4095 abstract, fulltext
Symes and Wennekers 2009Symes, A. and Wennekers, T.Spatiotemporal dynamics in the cortical microcircuit: a modelling study of primary visual cortex layer 2/3Neural Networks (2009) 22(8): 1079-92
doi:10.1016/j.neunet.2009.07.017
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Tetzlaff et al. 2008Tetzlaff, T., Rotter, S., Stark, E., Abeles, A., Aertsen, A. and Diesmann, M.Dependence of neuronal correlations on filter characteristics and marginal spike-train statisticsNeural Computation (2008) 20: 2133-2184
Thomson and Lamy 2007Thomson, A.M. and Lamy, C.Functional maps of neocortical local circuitryFrontiers in Neuroscience (2007) 1 (1): 19-42 fulltext
Toyoizumi et al. 2007Toyoizumi, T., Pfister, J.-P., Aihara, K. and Gerstner, W.Optimality Model of Unsupervised Spike-Timing Dependent Plasticity: Synaptic Memory and Weight DistributionNeural Computation (2007) 19: 639-671 abstract
Uchizawa et al. 2006bUchizawa, K., Douglas, R. and Maass, W.On the computational power of threshold circuits with sparse activityNeural Computation (2006) 18(12): 2994-3008 abstract, fulltext
Wang et al. 2006Wang, Y., Markram, H., Goodman, P.H., Berger, T.K., Ma, J. and Goldman-Rakic, P.S.Heterogeneity in the pyramidal network of the medial prefrontal cortexNature Neuroscience (2006) 9(4):534-542 abstract
Winograd et al. 2008Winograd, M., Destexhe, A. and Sanchez-Vives, M.V.Hyperpolarization-activated graded persistent activity in the prefrontal cortex.Proc. Natl. Acad. Sci. USA (2008) 105: 7298-7303 fulltext
Wolfart et al. 2005Wolfart, J., Debay, D., Le Masson, G., Destexhe, A. and Bal, T.Synaptic background activity controls spike transfer from thalamus to cortexNature Neuroscience (2005) 8:1760-1767 abstract, fulltext
Yousif and Denham 2007Yousif, N. and Denham, M.The role of cortical feedback in the generation of the temporal receptive field responses of lateral geniculate nucleus neurons: a computational modelling study.Biol Cybern. (2007) 97(4):269-77
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Review

Ascoli et al. 2008Ascoli, G.A., Alonso-Nanclares, L., Anderson, S.A., Barrionuevo, G., Benavides-Piccione, R., Burkhalter, A., Buzsaki, G., Cauli, B., DeFelipe, J., Fairén, A., Feldmeyer, D., Fishell, G., Fregnac, Y., Freund, T.F., Karube, F., Gardner, D., Gardner, E.P., Goldberg, J.H., Helmstaedter, M., Hestrin, S., Kisvarday, Z., Lambolez, B., Lewis, D., Marin, O., Markram, H., Muñoz, A., Packer, A., Petersen, C., Rockland, K., Rossier, J., Rudy, B., Somogyi, P., Staiger, J.F., Tamas, G., Thomson, A.M., Toledo-Rodriguez, M., Wang, Y., West, D.C. and Yuste, R.Petilla Terminology: Nomenclature of features of GABAergic interneurons of the cerebral cortexNature Reviews Neuroscience (2008) 9: 557-568 abstract
Brette et al. 2007bBrette, R., Rudolph, M., Carnevale, T., Hines, M., Beeman, D., Bower, J.M., Diesmann, M., Morrison, A., Goodman, P.H., Harris Jr., F.C., Zirpe, M., Natschläger, T., Pecevski, D., Ermentrout, B., Djurfeldt, M., Lansner, A., Rochel, O., Vieville, T., Muller, E., Davison, A.P., El Boustani, S., and Destexhe, A.Simulation of networks of spiking neurons: a review of tools and strategiesJournal of Computational Neuroscience (2007) 23(3):349-98 abstract, fulltext
Kumar et al. 2010Kumar, A., Rotter, S. and Aertsen, A.Spiking activity propagation in neuronal networks: reconciling different perspectives on neural codingNature Reviews Neuroscience (2010) 11: 615-627
doi:10.1038/nrn2886
Morrison et al. 2008Morrison, A., Diesmann, M. and Gerstner, W. Phenomenological models of synaptic plasticity based on spike timingBiological Cybernetics (2008) 98: 459-478 fulltext
Piwkowska et al. 2008Piwkowska, Z., Pospischil, M., Brette, R., Sliwa, J., Rudolph-Lilith, M., Bal, T. and Destexhe, A.Characterizing synaptic conductance fluctuations in cortical neurons and their influence on spike generationJ. Neurosci. Methods (2008) 169: 302-322 abstract
Thomson 2010Thomson, A.M.Neocortical Layer 6, a reviewFrontiers in Neuroanatomy (2010) 4:13
doi:10.3389/fnana.2010.00013
Thomson and Jovanovic 2010Thomson, A. M. and Jovanovic, J. N.Mechanisms underlying synapse-specific clustering of GABAA receptorsEuropean Journal of Neuroscience (2010) 31: 2193-2203
doi:10.1111/j.1460-9568.2010.07252.x
Thomson and Lamy 2008Thomson, A.M. and Lamy, C.Functional maps of neocortical local circuitryFrontiers in Neuroscience (2008) 1: 19-42 fulltext

Book

Masson and Ilg 2009Masson, G.S. and Ilg, U.J.Dynamics of visual motion processing: Neuronal, Behavioral, and Computational ApproachesEditors of the book. Springer (2009) ISBN: 978-1-4419-0780-6 abstract

Book chapter

Brette 2009Brette, R., Piwkowska, Z., Monier, C., Gomez, J., Frégnac, Y., Bal, T. and Destexhe, A.Dynamic clamp with high resistance electrodes using active electrode compensation in vitro and in vivoDynamic Clamp. From Principles to Applications. A. Destexhe and T. Bal editors. Springer. (2009) P. 347-382 abstract
Destexhe and Rudolph-Lilith 2008Destexhe, A. and Rudolph-Lilith, M.Synaptic "noise": Experiments, computational consequences and methods to analyze experimental dataIn: Stochastic Processes in Neuroscience, Edited by Lord, G. and Laing, C., Oxford University Press, Oxford UK (2009). abstract
Frégnac et al. 2006Frégnac, Y., Rudolph, M., Davison, A. and Destexhe, A.Complexity and level hierarchy in Neural networksIn «Biological networks», Editor : F. Képès, In «Complex systems and interdisciplinary Science», World Scientific Series (2006) pp. 1-38
Frégnac et al. 2006bFrégnac, Y., Blatow, M., Changeux, J.P., DeFelipe, J., Lansner, A., Maass, W., Markram, H., McCormick, D., Michel, C.M., Monyer, H., Szathmáry, E. and Yuste, R.Ups and Downs in the genesis of cortical computationIn: "Microcircuits: The Interface between Neurons and Global Brain Function Microcircuits: Dahlem Workshop Report 93". (Eds. Grillner, S. e. a.) Cambridge, USA: The MIT Press, (2006) pp. 397-437 fulltext
Fregnac et al. 2008Fregnac, Y., Rudolph, M., Davison, A.P. and Destexhe, A. Complexity in neuronal networks. In: Biological Networks, Edited by Kepes, F., World Scientific, Singapore, pp. 291-340, 2007
Lansner and Lundqvist 2010Lansner, A. and Lundqvist, M.Modeling Coordination in the Neocortex at the Microcircuit and Global Network LevelIn: Dynamic Coordination in the Brain: From Neurons to Mind. Strüngmann Forum Report, vol. 5. C. Von der Malsburg, W. A. Phillips and W. Singer, Eds. Cambridge, MA, MIT Press: 83-99.
Lansner et al. 2008Lansner, A., Benjaminsson, S. and Johansson, C.From ANN to biomimetic information processingIn "Biologically inspired signal processing for chemical sensing" (2008) Gutierrez A. and Marco S. (eds.), Studies in Computational Intelligence series, Springer.
Lansner et al. 2009Lansner, A., Benjaminsson, S. and Johansson, C.From ANN to biomimetic information processingBiologically Inspired Signal Processing for Chemical Sensing. S. G. Marco, Agustín, Ed, Springer. (2009) 188: 37-50. abstract
Legenstein and Maass 2006bLegenstein, R. and Maass, W.What makes a dynamical system computationally powerful?In S. Haykin, J. C. Principe, T.J. Sejnowski, and J.G. McWhirter, editors, New Directions in Statistical Signal Processing: From Systems to Brain. pages 127-154. MIT Press, 2007 abstract, fulltext
Legenstein and Maass 2007bLegenstein, R. and Maass, W.What makes a dynamical system computationally powerful?In S. Haykin, J. C. Principe, T. Sejnowski, and J. McWhirter, editors, New Directions in Statistical Signal Processing: From Systems to Brain, pages 127-154. MIT Press, 2007 abstract, fulltext
Lévi et al. 2008Lévi, T., Lewis, N., Saïghi, S., Tomas, J., Bornat, Y. and Renaud, S.Neuromimetic Integrated CircuitsIn: VLSI Circuits for Biomedical Applications, Edited by Iniewski, K., Artech House, Boston, pp. 241-264, 2008
Masson et al. 2009Masson, G.S., Montagnini, A. and Ilg, U.J.When the brain meets the eye: Tracking object motionIn: Dynamics of visual motion processing. Eds: Ilg, U.J. and Masson, G.S. Springer Verlag (2009)
Mehta et al. 2010Mehta, M., Buzsáki, G., Kreiter, A., Lansner, A., Lücke, J., Martin, K. A. C., Moghaddam, B., Moser, M.-B., Nikolic, D. and Sejnowski, T. J.Coordination in CircuitsDynamic Coordination in the Brain: From Neurons to Mind. C. von der Malsburg, W. A. Phillips and W. Singer, Eds. Cambridge, MIT Press. (2010) 5:133-148
Morrison and Diesmann 2008Morrison, A. and Diesmann, M.Maintaining causality in discrete time neuronal network simulationsIn: Lectures in supercomputational neuroscience: dynamics in complex brain networks. P. Beim Graben, C. Zhou, M. Thiel, J. Kurths (eds.) (2008) Chap. IV.10.
Piwkowska et al. 2009Piwkowska, Z., Pospischil, M., Rudolph-Lilith, M., Bal, T. and Destexhe, A.Testing methods for synaptic conductance analysis using controlled conductance injection with dynamic clamp. Dynamic Clamp. From Principles to ApplicationsA. Destexhe and T. Bal editors. Springer. New York. (2009) P. 115-140 abstract
Plesser et al. 2007Plesser, H.E., Eppler, J.M., Morrison, A., Diesmann, M. and Gewaltig, M.-O.Efficient parallel simulation of large-scale neuronal networks on clusters of multiprocessor computersIn: Proc 13th International Euro-Par Conference, LCNS (2007) Vol. 4641 p. 672-681. Springer
Sadoc et al. 2009Sadoc, G., Le Masson, G., Foutry, B., Le Franc, Y., Piwkowska, Z., Destexhe, A. and Bal, T.Recreating in vivo like activity and investigating the signal transfer capabilities of neurons: Dynamic-clamp applications using real-time NEURONDynamic-clamp: From Principles to Applications, Edited by Destexhe A and Bal T, Springer, New York,(2009). P. 287-320 abstract

Conference organisation

Meier, K., Frégnac, Y. and Grant, K.Frontiers in Neuromorphic Computation: a Multi-FACETS Enterprise3-4 June 2010, Collège de France, Paris abstract

Conference contribution: poster

Berger, T.K., Wang, Y. and Markram H.Microcircuitry of Layer 6 Somatosensory Cortex, Joint Forum of European Neuroscience(FENS) 2006, Vienna, July 2006
Bornat, Y., Renaud, S., Tomas, J., Zou, Q. and Destexhe, A.An Analog/Digital Simulation System for Biomimetic Neural NetworksEPFL Latsis Symposium 2006, Dynamical principles for neuroscience and intelligent biomimetic devices, Lausanne (Switzerland), March 8-10 2006
Brette, R., Rudolph, M., Piwkowska, Z., Bal, T. and Destexhe, A.How to emulate doubleelectrode recordings with a single-electrode? A new method of active electrode compensationA new method of active electrode compensation.
Denham, M.Computational theories for the cortical microcircuitTalk at CNS 2006 Workshop on Cortical Microcircuits.
Djurfeldt, M.Challenges and Opportunities in NanoarchitecturesWorkshop, 7-8 June 2006, Hotel Tylösand, Halmstad, on "Information processing architecture in the mammalian brain"
Ellguth, G., Mayr, C., Henker, S. and Schüffny, R.Design techniques for deep submicron CMOS / Case study Delta-Sigma-ModulatorDresdner Arbeitstagung Schaltungs- und Systementwurf 2006, p. 35-40
Escobar, M.-J., Kornprobst, P. and Vieville, T.Spike to Spike MT Model and ApplicationsPoster at CNS 2007 (Toronto, Canada).
Escobar, M.-J., Kornprobst, P., Wohrer, A. and Vieville, T.Can we recognize motion from spike train analysis?European Conference Visual Perception, 2006
Escobar, M.-J., Masson, G., Viéville, T. and Kornprobst, P.Spiking MT model: Dynamics and motion patterns30th European Conference on Vision Perception (ECVP), Arezzo, Italy, 2007.
Escobar, M.-J., Wohrer, A., Kornprobst, P. and Vieville, T.Biological motion recognition using an MT-like modelNeuroComp06
Faugeras, O. and Grimbert, F.Two-dimensional multilayer models of neuronsposter at Neurocomp06
Frégnac, Y., Baudot, P., Marre, O. and Levy, M.Time precision of the spiking behaviour of V1 cortical neurons is optimally adapted to the complexity of natural visual scenesIn Cosyne Symposium on "Counting Spikes" Org. S. Deneve et al. Les Canyons, Salt Lake City, USA, 2006. (Invited conference)
Garcia Alvarez, S., Perin, R. and Markram, H.Quantitative Analysis of Neuron Densities and Distributions in the Neocortical ColumnJoint Forum of European Neuroscience (FENS) 2006, Vienna, July 2006
Grimbert, F. and Faugeras, O.Cortex as a continuum of cortical columnsposter at Neuromath06
Grimbert, F., Chavane, F. and Faugeras, O.From neural field to VSD optical imagingAnnual Meeting of the Computational Neuroscience Meeting (CNS?07)
Jan, A., Francioli, L., Shah, Y., Sfyrakis, K., Schuermann, F. and Markram, H.Database Architecture for the Neocortical ColumnJoint Forum of European Neuroscience (FENS) 2006, Vienna, July 2006
Kornprobst, P., Chavane, F., Chemla, S., Reynaud, A. and Vieville, T.Reverse engineering of the visual brain cortical maps computation using optical-imagingEuropean Conference Visual Perception, 2006
Kornprobst, P., Chemla, S., Rochel, O. and Vieville, T.A 1st step towards an abstract view of computation in spiking neural-networksNeuroComp06
Kornprobst, P., Vieville, T., Chemla, S. and Rochel, O.Modeling cortical maps with feed-backsEuropean Conference Visual Perception, 2006
Kremkow, J., Perrinet, L., Kumar, A., Aertsen, A. and Masson, G.S.Synchronicity in thalamic inputs enhances propagation of activity through cortical layers16th Annual Meeting Computational Neuroscience Society CNS2007
Maass, W.A model for computation in cortical microcircuitsUSA, Banburry Center, Cold Spring Harbour,Workshop "Models of Neural Circuits", April 2006
Maass, W.Experiments that would help to decide between competing models for cortical computationWorkshop of the MPI for Brain Research, Schloss Ringberg, Tegernsee, Germany, July 2006
Maass, W.Models for cortical computationLeipzig, Germany, Workshop on Information Theory and Neurobiology, July 2006
Maass, W.Neural circuits as analog computersEPFL, Lausanne, CH, Latsis Symposium, March 2006
Maass, W.Online computing in dynamical systems as a possible paradigm for auditory processingSorbonne, Paris, F,Workshop "New Ideas in Hearing", May 2006
Maass, W.Principles of real-time computing with feedback applied to cortical
microcircuit models
Conf. on Neural Information Processing Systems, Vancouver, CA, NIPS*05, December 2005
Maass, W.Unsupervised learning in neural circuitsEPFL-Lausanne, CH, Workshop on Synaptic Plasticity, June 2006
Perin, R. and Markram, H.Properties of synaptic convergence revealed by 12 patch-clamp recordings in neocortical slicesJoint Forum of European Neuroscience (FENS) 2006, Vienna, July 2006
Perrinet, L., Kremkow, F., Barthelemy, F. and Masson, G.S.Input-output transformation in the visuo-oculomotor loop : modeling the ocular following response to centre-surround stimulation in a probabilistic framework6th FENS Meeting Abstract A216.16
Piwkowska, Z., Brette, R., Rudolph, M., Destexhe, A. and Bal, T.Reproducing in-vivo-like synaptic inputs to a neuron with Active Electrode Compensation - a new technique allowing high temporal resolution in single-electrode dynamic-clampFENS 2006, Vienna (poster)
Richardson, M.The trapping potential of neurons under random current injectionWorkshop "Stochastic dynamics of neurons and networks" at CNS (Edinburgh, July 2006)
Rudolph, M., Piwkowska, Z., Brette, R., Destexhe, A. and Bal, T.Precise dynamic-clamp injection of stochastic conductances using active electrode compensationSFN 2005, Washington (poster)
Thomson, A. Nomenclature of Neocortical Interneurones round table, Petilla, Spain: October 2005
Thomson, A. Cold Spring Harbour Symposium, GABAergic System, USA, October 2005
Thomson, A. Cajal Centenary Meeting, Barcelona, April 2006
Thomson, A. CNS Workshop July 2006
Thomson, A. Biologically Inspired Information Fusion, Surrey University, August 2006
Thomson, A. Computational Neuroscience Summer School, Arcachon, France: August 2006
Tlapale, E., Masson, G.S., Vieville, T. and Kornprobst, P.Model of motion field diffusion controled by form cuesPerception ECVP Abstracts (2007) 36 :215b
Wohrer, A., Masson, G., Perrinet, L., Kornprobst, P. and Vieville, T.Contrast sensitivity adaptation in a virtual spiking retina and its adequation with mammalians retinasEuropean Conference Visual Perception, 2006
Abitbol et al. 2010Abitbol, K., Hatchett, C., Fuchs, C., Stephenson, F.A., Thomson, A.M. and Jovanovic, J.N.Mechanisms underlying synapse-specific clustering of α1- and α2-containing GABAA receptors : Identification of proteins that specifically interact with the extracellular domain of either α1 or α2 GABAA receptor subunits Symposium 'GABAA receptors and anxiety' Chexbres, Switzerland, 2010
Abitbol et al. 2010bAbitbol, K., Goffin, D., Fuchs, C., Sihra, T.S., Thomson, A.M. and Jovanovic, J.N.Developmental changes in the structure and function of GABAergic synapses in cultured embryonic striatal medium spiny neuronsFENS Forum 2010: 074.1
Ander et al. 2007Ander, M. and Schüffny, R.Design and Implementation of a high speed LVDS Transmitter and ReceiverWorkshop des Arbeitskreises IC-Design im Silicon Saxony: Entwurf von integrierten Analog-/Mixed-Signal-/HF-Schaltungen, May 2007
Bal et al. 2008Bal, T., Piwkowska, Z., Brette, R., Wolfart, J., Debay, D., Monier, C., Rudoph-Lilith, M., Fournier, J., Levy, M., Fregnac, Y., Destexhe, A., Le Masson, G. Thalamocortical hybrid networks and an introduction to Active Electrode Compensation.Meeting of the Physiological Society, Techniques Workshop ? Unravelling synaptic integration using conductance injection ? the dynamic clamp 13-14 juillet. (Invited conference). (2008)
Bal et al. 2009Bal, T., Béhuret, S., Deleuze, C., Gomez, L., Piwkowska, Z., Wolfart, J., Debay, D., Brette, R., El Boustani, S., Marre, O., Baudot, P., Yger, P., Rudolph, M., Le Masson, G., Sadoc, G., Destexhe, A., and Frégnac, Y. Hybrid biological-artificial neuronal networks. Colloque ANR Interface Physique-Chimie-Biologie, Fréjus, France. 2009
Béhuret et al. 2010Béhuret, S., Gomez, L., Frégnac, Y. and Bal, T. Context-dependency in the transfer of sensory information in thalamo-cortico-thalamic circuits. 7th FENS Forum Abstracts: 192.5. Amsterdam. Netherlands. 2010
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Web publication

Brette, R., Piwkowska, Z., Rudolph-Lilith, M., Bal, T. and Destexhe, A.High-resolution intracellular recordings using a real-time computational model of the electrodearXiv preprint (2007) http://arxiv.org/abs/0711.2075 abstract, fulltext
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Other

Maass, W.How could networks of neurons learn to carry out probabilistic inference?Videolecture (recorded May 2010, published 15 June 2010) at http://videolectures.net/mlss2010_maass_hcnon/ fulltext
Albert 2010Albert, M.Liquid Computing mit Neuromorpher HardwareBachelor thesis (in German language), University of Heidelberg, 2010 abstract, fulltext
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Holzmann 2008Holzmann, G.Echo State Networks with Filter Neurons and a Delay&Sum Readout with Applications in Audio Signal ProcessingMaster Thesis (2008) at the Institute for Theoretical Computer Science, TUG, Austria
Kremkow 2009Kremkow, J.Correlating excitation and inhibition in visual cortical circuits: Functional consequences and biological feasibilityPhD thesis (2009) Université de la Méditerranée and Albert-Ludwigs-Universitat, Freiburg.
Levi et al. 2007bLevi, T., Lewis, N., Tomas, J. and Fouillat, P.IP-based design for analogue ASICs: A case studyDesign and Reuse Articles, May , 2007 fulltext
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Press release

UHEI 2007aMeier, K.Computer nach dem Vorbild des Gehirns?University of Heidelberg Research Magazine "Ruperto Carola" (2007) 1 fulltext


 
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3 August 2011