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581 publication entries, 27 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
Bedard and Destexhe 2009Bedard, C. and Destexhe, A.Macroscopic models of local field potentials the apparent 1/f noise in brain activityBiophysical Journal (2009) 96: 2589-2603 abstract
Bedard and Destexhe, 2008Bedard, C. and Destexhe, A.A modified cable formalism for modeling neuronal membranes at high frequenciesBiophys. J. (2008) 94: 1133-1143 fulltext
Bedard et al. 2006Bedard, C., Kroger, H. and Destexhe, A.Does the 1/f frequency-scaling of brain signals reflect self-organized critical states?Physical Review Letters (2006) 97: 118102 abstract, fulltext
Bedard et al. 2010Bedard, C., Rodrigues, S., Roy, N., Contreras, D. and Destexhe, A.Evidence for frequency-dependent extracellular impedance from the transfer function between extracellular and intracellular potentialsJ. Computational Neurosci., in press. ArXiv preprint: http://arxiv.org/abs/0908.3268 fulltext
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 2006Brette, R.Exact simulation of integrate-and-fire models with synaptic conductancesNeural Comput (2006) 18(8): 2004-2027
Brette 2007Brette, R.Exact simulation of integrate-and-fire models with exponential currentsNeural Comput (2007) 19(10): 2604-2609 abstract
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
Buesing et al. 2009Buesing, L., Schrauwen, B., and Legenstein, R. Connectivity, Dynamics, and Memory in Reservoir Computing with Binary and Analog NeuronsNeural Computation (2010) 22(5):1272-1311 abstract, fulltext
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 2008Cessac, B.A discrete time neural network model with spiking neurons. Rigorous results on the spontaneous dynamicsJournal of Mathematical Biology (2008) 56(3): 311-345
Cessac and Viéville 2008Cessac, B. and Viéville, T.On Dynamics of Integrate-and-Fire Neural Networks with Conductance Based SynapsesFrontiers in Neuroscience (2008) 2: 2 fulltext
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
Cessac et al. 2009bCessac, B., Rostro, H., Vasquez, J.C. and Viéville, T. How Gibbs distributions may naturally arise from synaptic adaptation mechanismsJ. Stat. Phys. (2009) 136 (3):565-602
doi:10.1007/s10955-009-9786-1
Chemla and Chavane 2010Chemla, S. and Chavane, F.A biophysical cortical column model to study the multi-component origin of the VSDI signalNeuroImage (2010)
doi:10.1016/j.neuroimage.2010.06.026
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
Chen et al. 2010Chen, H., Saïghi, S., Buhry, L., Renaud, S.Exploiting Noise-Induced Stochastic Behaviour in a Hodgkin-Huxley VLSI ModelIEEE Trans. on Neural Networks (2010)
Clopath et al. 2007Clopath, C., Jolivet, R., Rauch, A., Lüscher, H.-R. and Gerstner, W.Predicting neuronal activity with simple models of the threshold type: Adaptive Exponential Integrate-and-Fire model with two compartments Neurocomputing (2007) 70(10-12): 1668-1673 abstract
Clopath et al. 2008Clopath, C., Ziegler, L., Vasilaki, E., Buesing, L. and Gerstner, W. Tag-Trigger-Consolidation: A model of early and late long-term potentation and depressionPLoS Comput Biol (2008) 4(12):e1000248
doi:10.1371/journal.pcbi.1000248
abstract, fulltext
Clopath et al. 2008cClopath, C., Jolivet, R., Rauch, A., Lüscher, H.-R. and Gerstner, W.Predicting neuronal activity with simple models of the threshold type: Adaptive Exponential Integrate-and-Fire model with two compartmentsNeurocomputing (2007) 70(10-12):1668-1673 abstract, fulltext
Clopath et al. 2009Clopath, C., Büsing, L., Vasilaki, E. and Gerstner, W.Connectivity reflects coding: a model of voltage-based spike-timing-dependent plasticity with homeostasisNature Neuroscience (2010) 13: 344?352
doi:10.1038/nn.2479
abstract
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 and Fregnac 2006Davison, A. and Frégnac, Y.Learning crossmodal spatial transformations through spike-timing-dependent plasticityJournal of Neuroscience. (2006) 26 : 5604-5615
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
De Schutter et al. 2005De Schutter, E., Ekeberg, Ö., Hellgren Kotaleski, J., Achard, P. and Lansner, A.Biophysically detalied modelling of microcircuits and beyondTrends Neurosci (2005) 28: 562-569
Destexhe 2009Destexhe, A. Self-sustained asynchronous irregular states and Up/Down states in thalamic, cortical and thalamocortical networks of nonlinear integrate-and-fire neurons. J. Computational Neurosci. (2009) 27(3):493-506
doi:10.1007/s10827-009-0164-4
abstract, fulltext
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 and Destexhe 2008El Boustani, S. and Destexhe, A.A master equation formalism for macroscopic modeling of asynchronous irregular activity states.Neural Computation (2009) 21: 46-100 abstract, fulltext
El Boustani and Destexhe 2010El Boustani, S. and Destexhe, A.Brain dynamics at multiple scales: can one reconcile the apparent low-dimensional chaos of macroscopic variables with the seemingly stochastic behavior of single neurons?International Journal of Bifurcation and Chaos (2010) 20(6): 1687-1702
doi:10.1142/S0218127410026769
fulltext
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.
Faugeras et al. 2009aFaugeras, O., Touboul, J. and Cessac, B.A constructive mean field analysis of multi population neural networks with random synaptic weights and stochastic inputsFront. Comput. Neurosci. (2009) 3:1 abstract
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
Frégnac et al. 2010aFrégnac, Y., Pananceau, M., René, A., Huguet, N., Marre, O., Levy, M. and Shulz, D.E. A re-examination of Hebbian-covariance rules and spike timing-dependent plasticity in cat visual cortex in vivoFrontiers in Synaptic Neuroscience (2010) 2:12 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
Johansson and Lansner 2006bJohansson, C. and Lansner, A.Imposing biological constraints onto an abstract neocortical attractor network modelNeural Computation. (2007) 19:1871-1896 abstract
Johansson and Lansner 2007Johansson, C. and Lansner, A.Imposing Biological Constraints onto an Abstract Neocortical Attractor Network ModelNeural Computation (2007) 19(7): 1871-1896
Johansson and Lansner 2007bJohansson, C. and Lansner, A.Towards Cortex Sized Artificial Neural SystemsNeural Networks (2007) 20: 48-61
Johansson and Lansner 2008Johansson, C. and Lansner, A.Implementing plastic weights in neural networks using low precision arithmetic. Neurocomputing (2009) 72(4-6): 968-972
doi:10.1016/j.neucom.2008.04.007
abstract
Johansson and Lansner 2009Johansson, C. and Lansner, A.Implementing plastic weights in neural networks using low precision arithmetic.Neurocomputing (2009) 72: 968-972 abstract
Johansson et al. 2006Johansson, C., Ekeberg, Ö. and Lansner, A.Clustering of stored memories in an attractor network with local competitionInt. J. Neural Systems (2006) 16: 393-403
Jolivet et al. 2006Jolivet, R., Rauch, A., Lüscher, H.-R. and Gerstner, W.Predicting spike timing of neocortical pyramidal neurons by simple threshold modelsJournal of Computational Neuroscience (2006) 21:35-49 fulltext
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 and Maass 2009bKlampfl, S., and Maass, W.A theoretical basis for emergent pattern discrimination in neural systems through slow feature extraction.Neural Computation (2010) in press
doi:10.1162/NECO_a_00050
abstract, 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
Lansner 2009Lansner, A.Associative memory models ? from cell assembly theory to biophysically detailed cortex simulations.Trends Neurosci (2009) 32: 178-186 abstract
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
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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
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Book

Destexhe and Bal 2009Destexhe, A. and Bal, T.Dynamic-Clamp: From Principles to ApplicationsEditors of the book. Springer (2009) Series in Computational Neuroscience , Vol. 1, ISBN: 978-0-387-89278-8 abstract
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
Partzsch 2008Partzsch, J. Simulation pulsender neuronaler Netze mit neuromorpher HardwareVDM Verlag Dr. Müller, ISBN 978-3-639-04323-5 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 2007Destexhe, A. Sleep OscillationsIn: The New Encyclopedia of Neuroscience, Edited by Squire, L., Albright, T., Bloom, F., Gage, F. and Spitzer, N. Elsevier, Amsterdam (2008): 1027-1034 abstract
Destexhe 2008Destexhe, A.Cortico-thalamic feedback: a key to explain absence seizures? In: Computational Neuroscience in Epilepsy, Edited by Soltesz, I. and Staley, K., Elsevier, Amsterdam, pp. 184-214 (2008). fulltext
Destexhe and Huguenard 2007Destexhe, A. and Huguenard, J.R. Modeling voltage-dependent channelsIn: Computational Modeling Methods for Neuroscientists, Edited by DeSchutter, E., MIT Press, Cambridge, USA (2009): 107-138 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
Destexhe and Sejnowski 2008Destexhe, A. and Sejnowski, T.J. Control of sleep and sleep states: Thalamic regulation of sleep.In: The New Encyclopedia of Neuroscience, Edited by Squire, L., Albright, T., Bloom, F., Gage, F. and Spitzer, N. Elsevier, Amsterdam (2008) 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
Jancke et al. 2009Jancke, D., Chavane, F. and Grinvald, A.Stimulus localization by neuronal populations within early visual cortex - Linking perception to the underlying functional architecture In: Dynamics of visual motion processing. Eds: Ilg, U.J. and Masson, G.S. Springer Verlag (2009)
Lansner and Lundqvist 2009Lansner, A. and Lundqvist, M.Modelling Coordination in the Neocortex at the Microcircuit and Global Network LevelIn: Dynamic Coordination in the Brain: From Neurons to Mind. Strüngmann Forum Report (2010) vol. 5. C. Von der Malsburg, W. A. Phillips and W. Singer, Eds. Cambridge, MA, MIT Press
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.
Perrinet 2007Perrinet, L.U.Dynamical Neural Networks: modeling low-level vision at short latencies, pages 163-225In: Topics in Dynamical Neural Networks: From Large Scale Neural Networks to Motor Control and Vision, Volume 142 of The European Physical Journal (Special Topics) March 2007 fulltext
Piwkowska 2009 reviewPiwkowska, Z., Destexhe, A. and Bal, T.Associating living cells and computational models: from basics to present applications of the dynamic-clampDynamic Clamp. From Principles to Applications. A. Destexhe and T. Bal editors. Springer. New York. (2009) P. 1-30 abstract
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
Shulz and Frégnac 2010Shulz, D.E. and Frégnac, Y. From sensation to perceptionGF Koob, M Le Moal and RF Thompson (Eds). Encyclopedia of Behavioural Neuroscience. Elsevier. (2010) Vol 1: 550-558.

Conference organisation

Destexhe, A."Computation and Neural Systems"Annual (CNS2006) conference, Edinburgh, UK. Vice-President of the organizing commitee
Destexhe, A."Computation and Neural Systems"Annual (CNS2007) conference, Toronto, Vice-President of the organizing commitee
Destexhe, A."Modeling the Brain Labyrinth"International Conference, Heraklion, Greece (2006) Co-organizer
Meier, K., Frégnac, Y. and Grant, K.Frontiers in Neuromorphic Computation: a Multi-FACETS Enterprise3-4 June 2010, Collège de France, Paris abstract
Perrinet, L. "Neurocomp08"Second french conference on Computational Neuroscience / Deuxième conférence française de Neurosciences Computationnelles,, 8-11 octobre 2008, Marseille, France - http://2008.neurocomp.fr Princial organizer
Vernier, P, Peyrieras, N., Jouvenceau, A. and Frégnac, Y.Multiscale analysis of neural systems: taking the challenge seriously10th Neurobiology Conference Ladislav Tauc, Gif-sur-Yvette, France

Conference contribution: poster

Badel, L.An approach to measure the dynamic current-voltage response properties of neurons during large membrane potential fluctuationsFENS - 5th Forum of European Neuroscience - Vienna 2006 July 8-12 (poster )
Badel, L.How to measure the instantaneous I-V curve of neurons with in vivo-like voltage fluctuationsEPFL-LATSIS symposium - Dynamical principles for neuroscience and intelligent biomimetic devices (March 8-10 2006, Lausanne) (poster)
Badel, L.Measuring the instantaneous I-V curve for subthreshold and spike initiation voltagesCNS (Edinburgh, July 18-20 2006) (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
Bernhard, F. and Keriven, R.Spiking neurons on GPUsInternational Conference on Computational Science. Readings, UK, May 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.
Chariot, A., Keriven, R. and Brette, R.Simulation rapide de modèles de neurones impulsionnels sur carte graphiqueposter at NeuroComp06
Clopath, C.Predicting Neuronal Activity with Simple Models of the Threshold TypeEPFL LATSIS symposium - Dynamical principles for neuroscience and intelligent biomimetic devices (March 8-10 2006, Lausanne) Poster
Clopath, C.Predicting Neuronal Activity with Simple Models of the Threshold Type:Adaptive Exponential Integrate-and-Fire Model with Two CompartmentsCNS 2006 in Edinburgh, July 16-20; Poster
Davison, A., Yger, P., Frégnac, Y., Chan, J. and Newell, F.A combined pyschophysical--modelling investigation of the mechanisms of tactile picture perceptionFifteenth Annual Computational Neuroscience Meeting CNS*2006
Denham, M.Computational theories for the cortical microcircuitTalk at CNS 2006 Workshop on Cortical Microcircuits.
Destexhe, A.Advanced Biomathematics of Sleep and Wake EEGUniversity of Brussels, Belgium, 2006 (invited speaker)
Destexhe, A.Extracting timing information about network activity through conductance analysisBeing on Time: Temporal Views on Neuronal Coding, Jerusalem, Israel, 2007 (invited speaker)
Destexhe, A.Inferring network activity through intracellular recordings of single neocortical neurons in vivo10th International Conference on Cognitive and Neural Systems, Boston University, USA, 2006 (invited speaker)
Destexhe, A.Similar cortical states during wakefulness and slow-wave sleep oscillations5th INMED/TINS Conference: Physiogenic and Pathogenic Oscillations: the Beauty and the Beast, La Ciotat, France, 2006 (invited speaker)
Destexhe, A.Thalamocortical oscillations: from single cells to neuronal networksMolecular mechanisms and modeling of biological rhythms", Orsay, France, 2006 (invited speaker)
Destexhe, A.What can fluctuations tell us about neuronal computations?"International Computational Neuroscience Meeting", RIKEN Brain Science Institute, Tokyo, Japan, 2006 (invited speaker)
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
Faugeras, O., Papadopoulo, T. and Touboul, J.The statistics of spikes trains for some simple types of neuron modelsNeurocomp06 fulltext
Frégnac, Y.An intracellular view of complexity in visual cortical processing: inbetween "crystal" and "smoke"In "Databasing the Brain." International Neuroinformatics Coordination Initiative. Org. J.G. Bjaalie. Oslo, 2006. (Opening Lecture)
Frégnac, Y.Computational architectures and self-organization algorithms derived from biology: what can be learnt from V1 mammalian cortexIn "The Golgi centenary conference on Biologically inspired systems." (Org. L. Mancini). University "La Sapienza", Rome, Italy, 2006. (Opening Lecture)
Frégnac, Y.Computational diversity and functional complexity in visual cortex: when inhibition meets excitationIn European School of Computational Neuroscience (Org. A. Aertsen et al), Arcachon, 2006. (Invited conference)
Frégnac, Y.Contextual dynamics in sensory processing: From liquid computation for sparse stimuli to constrained high conductance states for natural imagesIn European School of Computational Neuroscience (Org. A. Aertsen et al), Arcachon, 2006. (Invited conference)
Frégnac, Y.Dominance of synaptically driven states on the electrical signature of
cortical neurons in vivo
In "Nomenclature of neocortical interneurons" (Orgs. De Felipe, J., Yuste, R., Markram, H., Monhier, A.), Petilla de Aragón, Navarra (Spain), 2005. (Invited conference)
Frégnac, Y.Entoptic vision of the functional architecture of primary visual cortexIn "Neuromathematics and Visual Perception". Orgs G. Citti, Giaquinta, J. Petitot and A. Sarti). Scuola Normale Superiore of Pisa, Italy, 2006. (Invited conference)
Frégnac, Y.Functional complexity and structural diversity in V1In "Theoretical Neuroscience and Complex Systems". (Org. W. Singer, FIAS Summer School). Frankfurt, Germany, 2006. (Invited conference).
Frégnac, Y.Interdisciplinary approaches of complexity in visual cortex: bridging levels of integration from the synaptic rumour to perceptual illusionsIn International Workshop on Computational Neuroscience (Cost-EC action, Org. G. Deco), Barcelona, 2005 (keynote speaker) (Invited conference)
Frégnac, Y.Neural coding issues in V1In 10th Anniversary Meeting for the EU Course in Computational Neuroscience. Crête, 2006. (Invited conference).
Frégnac, Y.Physical Foundations of neurogeometry : the synaptic signature of the "association field" of visual cortical neuronsIn Ecole d'été "Mathématiques et Cerveau" Institut Henri Poincaré, Paris, 2005. (Invited conference).
Frégnac, Y.Possible role of spike-timing dependent plasticity in the genesis and adaptation of sensory cortical representationsIn "Experimental and theoretical views on synaptic plasticity" (Org. W. Gerstner), Lausanne, Switzerland, 2006. (Invited talk)
Frégnac, Y.Reading the code from synaptic echoes in the brainIn 1st French Computational Neuroscience Meeting (NeuroComp). Abbaye des Prémontés, Pont-à-Mousson, 2006. (Plenary Lecture)
Frégnac, Y.Reconstructing network dynamics and function from synaptic rumoursIn "The functional architecture from the brain: from dendrites to networks". Symposium in the honour of Dr. Suzanne Tyc-Dumont., Org. J. Durand, Marseille, 2006. (Invited Plenary Lecture).
Frégnac, Y.The one and thousand lives of the Hebb's synapseIn "Theoretical Neuroscience and Complex Systems". (Org. W. Singer, FIAS Summer School). Frankfurt, Germany, 2006. (Invited conference).
Frégnac, Y.The receptive field concept: Attempts and failures to map function onto structureIn "Foundation on Evolution and Cognition: a dialogue between scientists and humanists", Org. A. Smith, Les Treilles , France, 2006. (Invited conference).
Frégnac, Y.What must be recorded in vivo in order to understand CortexIn "The Cajal Centenary conference on the Cerebral Cortex." Org. J. De Felipe, H. Markram and M. Toledo-Rodriguez, Barcelona, Spain, 2006. (Round Table Presidency).
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)
Häusler, S.Computational consequences of lamina-specific structure in cortical microcircuit modelsSalt Lake City, USA, Cosyne 2006, Conf. & Workshop, March 2006
Häusler, S.Computational consequences of lamina-specific structure in cortical microcircuit modelsFENS, Wien, Forum of European Neuroscience, July 2006
Henker, S., Schlüßler, J.-U. and Schüffny, R.White Balancing with Multi-Channel CMOS SensorsProceedings Image and Vision Computing New Zealand 2005, University of Otago, Dunedin, p. 37-42
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
Legenstein, R.A criterion for the convergence of learning with spike timing dependent plasticityVancouver, CA, Conf. Neural Information Processing Systems, NIPS*05, December 2005
Legenstein, R.Analysis of Cortical Microcircuits on the Systems LevelSalt Lake City, USA, Cosyne 2006, March 2006
Legenstein, R.Spiking Neural NetworksPorto, Portugal, NN 2006; Neural Networks in Classification Regression and Data
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
Pfister, J.P.Beyond Pair-Based STDP: a Phenomenological Rule for Spike Triplet and Frequency effectsWorkshop of Cosyne 2006 on "advances in activity-dependent plasticity"
Pfister, J.P.Why are Triplets of Spikes Necessary in Models of Spike-Timing-Dependent Plasticity?Workshop on Plasticity at CNS, Edinburgh, July 2006
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)
Schüffny, R.VLSI Implementierung und Test von pulsgekoppelten neuronalen Netzwerken Dresdner Arbeitstagung Schaltungs- und Systementwurf 2006
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
Touboul, J. and Brette, R.Dynamics of noisy inhibitory networks of integrate-and-re neurons: a stochastic network theory approachNeuromath06 (poster)
Viéville, T. and Kornprobst, P.Modeling Cortical Maps with Feed-BacksInt. J. Conf. Neural Networks 2006 and Int. Conf. on Cognitive and Neural Systems 2006
Vieville, T. and Rochel, O.One step towards an abstract view of computation in spiking neural-networksInt. Conf. on Cognitive and Neural Systems 2006
Wennekers, T.Operational cell assemblies in large-scale cortex modelsCNS 2006 Workshop on Cortical Microcircuits (talk)
Wennekers, T.Spatio-temporal neural field approximationCNS 2006 Workshop on Continuous Attractor Networks (talk)
Wohrer, A., Kornprobst, P. and Vieville, T.A Biologically-Inspired Model for a Spiking Retina2006, RR INRIA 5848
Wohrer, A., Kornprobst, P. and Vieville, T.Contrast gain control through a feedback in the retinaNeuroComp 06
Wohrer, A., Kornprobst, P. and Vieville, T. From Light to Spikes: a Large-Scale Retina SimulatorInt. Conf. on Cognitive and Neural Systems 2006
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
Arduin et al. 2009Arduin, P.J., Ego-Stengel, V., Shulz, D. and Frégnac, Y. Graded control of a prosthesis by operant conditioning of single-units in rat motor cortexCongrès FRM/IRME/ICM Interfaces Cerveau-Machine, Fondation pour la Recherche Médicale Paris VIIe, France. November 05 2009.
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
Béhuret et al. 2010bBéhuret, S., Gomez, L., Frégnac, Y. and Bal, T. Context-dependent information transfer in model thalamocortical circuits. In Multiscale analysis of neural systems: taking the challenge seriously. (Orgs. P. Vernier, N. Peyrieras, A. Jouvenceau and Y. Frégnac). 10th Neurobiology Conference Ladislav Tauc, Gif-sur-Yvette, France. 2010
Belhadj et al. 2008Belhadj, B., Tomas, J., Malot, O., N'kaoua, G., Bornat, Y. and Renaud, S.FPGA-based Architecture for Real-time Synaptic Plasticity ComputationProc. of the Int. Conf. on Electronics, Circuits and Systems, ICECS'08 (2008): 93-96 abstract, fulltext
Belhadj et al. 2009Belhadj, B., Tomas, J., Bornat, Y., Daouzli, A., Malot, O. and Renaud, S. Digital Mapping of a Realistic Spike Timing Plasticity Model for Real-time Neural SimulationsIn XXIV Conference on Design of Circuits and Integrated Systems, (DCIS 2009) Zaragoza, Spain, 2009.
Belhadj et al. 2009aBelhadj, B., Tomas, J., Malot, O., Bornat, Y., Saïghi, S., Renaud, S.Plasticity computation in a multiboard system simulator dedicated to SNNNeurocomp Conference (2009) Bordeaux, France
Belhadj et al. 2009bBelhadj, B., Tomas, J., Bornat, Y., Malot, O. and Renaud, S. Token-passing communication protocol in hardware based real-time spiking neural networksIn Proceedings of SPIE, Bioengineered and Bioinspired Systems, Microtechnologies for the New Millenium, SPIE'09 Dresden, Germany, 2009.
Belhadj et al. 2010Belhadj, B., Tomas, J., Malot, O., Bornat, Y., N'Kaoua, G., Renaud, S.Guaranteeing spike arrival time in multiboard & multichip spiking neural networksIEEE International Symposium on Circuits and Systems - ISCAS (2010), Paris, France
Bornat et al. 2007Bornat, Y., Tomas, J., Lopez, C., Malot, O., Bilhadj, B. and Renaud, S.Design of analog/digital simulator dedicated to real-time neurocomputingXXII Conference on Design of Circuits and Integrated Systems, 21-23 November 2007, Sevilla, Spain
Boucsein and Nawrot 2008bBoucsein, C. and Nawrot, M.P.Reliability of signal transmission in neocortical networksAbstr Computation in Cortical Circuits (2008), Ascona, Italy.
Boucsein et al. 2009bBoucsein, C., Rau, F., Nawrot, M.P. and Aertsen, A.Photo-activation of neuronal tissue using a spatial light modulator (DMD)T27-4C, NWG Annual Meeting, Göttingen (2009)
Boucsein et al. 2010aBoucsein, C., Ammer, J., Aertsen, A. and Benda, J.Input-resistance dependent switch in spiking precision of neocortical pyramidal cellsSFN Annual Meeting (San Diego) (2010)
Brémaud and Thomson 2009Brémaud, A. and Thomson, A. M.Complex short term dynamics in stochastic models of neocortical synaptic connectionsSociety for Neuroscience 2009: 822.19
Brette et al. 2007Brette, R., Piwkowska, Z., Rudolph, M., Bal, T. and Destexhe, A.A non-parametric electrode model for intracellular recordingNeurocomputing, Volume 70, Issue 10-12 (June 2007), Pages: 1597-1601 abstract
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Marre et al. 2007Marre, O., El Boustani, S., Baudot, P., Levy, M., Monier, C., Huguet, N., Pananceau, M., Fournier, J., Destexhe, A. and Fregnac, Y.Stimulus-dependency of spectral scaling laws in V1 synaptic activity as a read-out of the effective network topology.Society for Neuroscience Abstracts (2007) 33: 790.6
Marre et al. 2008Marre, O., El Boustani, S., Béhuret, S., Monier, C., Bal, T., Destexhe, A., Frégnac, Y. Stimulus-dependency in the power-law scaling of the subthreshold activity of V1 cells. 2nd French conference on Computational Neuroscience - Neurocomp08. 8-11 octobre 2008. Marseille, France.
Mayr and Partzsch 2008Mayr, C. and Partzsch, J. and Schüffny, R.BCM and Membrane Potential: Alternative Ways to Timing Dependent Plasticity15th International Conference on Neural Information Processing (ICONIP 2008), LNCS vol. 5506, pp. 137-144
doi:10.1007/978-3-642-02490-0_17
abstract
Mayr et al. 2005Mayr, C. and Schüffny, R.Image Pulse Coding Scheme applied to Feature ExtractionProceedings Image and Vision Computing New Zealand 2005, University of Otago, p. 49-54 fulltext
Mayr et al. 2006Mayr, C., Eisenreich, H., Schreiter, J. and Schüffny, R.Pulse Capture and Distribution for Neural Pulse-based ComputationsDresdner Arbeitstagung Schaltungs- und Systementwurf 2006, p. 85-90 fulltext
Mayr et al. 2006bMayr, C., Eisenreich, H., Henker, S. and Schüffny, R.Pulsed multi-layered Image filtering: a VLSI ImplementationProceedings of World Academy of Science, Engineering and Technology, Vol. 15 Oct. 2006 fulltext
Mayr et al. 2007Mayr, C. and Ehrlich, M. and Henker, S. and Wendt, K. and Schüffny, R.Mapping Complex, Large Scale Spiking Networks on Neural VLSIInt. Journal of Applied Science, Engineering, and Technology (2007) 4(1): 37-42 fulltext
Mayr et al. 2007cMayr, C. and Schüffny, R.Neighborhood Rank Order Coding for Robust Texture Analysis and Feature Extraction7th International Conference on Hybrid Intelligent Systems (HIS 2007), Sept. 17-19 2007, Kaiserslautern, Germany
Mayr et al. 2008Mayr, C. and Partzsch, J. and Schüffny, R.Transient Responses of Activity-Dependent Synapses to Modulated Pulse TrainsFifth International Symposium on Neural Networks (ISNN 2008), Sep. 2008 fulltext
Mayr et al. 2010Mayr, C. and Partzsch, J. and Schüffny, R.A Critique of BCM Behaviour Verification for STDP-Type Plasticity Models18th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning ESANN 2010, pp. 369-374.
Mayr et al. 2010cMayr, C., Noack, M., Partzsch, J. and Schüffny, R.Replicating Experimental Spike and Rate Based Neural Learning in CMOSIEEE International Symposium on Circuits and Systems ISCAS 2010, pp. 105-108
Millner et al. 2010Millner, S., Grübl, A., Meier, K., Schemmel, J. and Schwartz, M.-O. A VLSI Implementation of the Adaptive Exponential Integrate-and-Fire Neuron ModelAdvances in Neural Information Processing Systems (NIPS) (2010), accepted abstract
Nadim et al. 2008Nadim, F., Brezina, V., Destexhe, A. and Linster, C.State dependence of network output: modeling and experimentsThe Journal of Neuroscience (2008) 28(46):11806-11813
doi:10.1523/JNEUROSCI.3796-08.2008
abstract
Nessler et al. 2009Nessler, B., Pfeiffer, M. and Maass, W. STDP enables spiking neurons to detect hidden causes of their inputsNIPS 2009 abstract
Noack et al. 2010Noack, M., Partzsch, J., Mayr, C., Henker, S. and Schüffny, R.Biology-Derived Synaptic Dynamics and Optimized System Architecture for Neuromorphic HardwareIEEE International Conference on Mixed Design of Integrated Circuits and Systems MIXDES 2010, pp. 219-224
Partzsch and Schüffny 2009Partzsch, J. and Schüffny, R.On the routing complexity of neural network models - Rent's Rule revisitedESANN (2009): 595-600 abstract
Pavan et al. 2007Pavan, V., Faugeras, O.D., Piwkowska, Z., Bal, T., Destexhe, A. and Brette, R. Estimation of synaptic conductances from intracellular recordings. Society for Neuroscience Abstracts (2007) 33: 102.12
Pecevski et al. 2009bPecevski, D., Natschläger, T. and Schuch, K.PCSIM: A Parallel Simulation Environment for Neural Circuits Fully Integrated with Python39th Annual Conference of the Society for Neuroscience, 2009
Perrinet 2008Perrinet, L.What adaptive code for efficient spiking representations? A model for the formation of receptive fields of simple cellsProceedings of COSYNE (2008) fulltext
Perrinet and Masson 2008Perrinet, L. and Masson, G.S.Decoding the population dynamics underlying ocular following response using a probabilistic frameworkProceedings of AREADNE (2008) fulltext
Perrinet and Masson 2008bPerrinet, L. and Masson, G.S.Modeling spatial integration in the ocular following response to center-surround stimulation using a probabilistic frameworkProceedings of COSYNE (2008) fulltext
Perrinet and Masson 2009Perrinet, L.U. and Masson, G.S.Decoding the population dynamics underlying ocular following response using a probabilistic frameworkEighteenth Annual Computational Neuroscience Meeting (2009) Chicago
Perrinet et al. 2009Perrinet, L., Voges, N., Kremkow, J. and Masson, G.S.SDecoding center-surround interactions in population of neurons for the ocular following responseProceedings of COSYNE Conference (2009)
Phillipp et al. 2007Philipp, S., Gruebl, A., Meier, K. and Schemmel, J.Interconnecting VLSI Spiking Neural Networks Using Isochronous ConnectionsProceedings of the International Work-Conference on Artificial Neural Networks (IWANN) 2007, LNCS 4507, p. 471-478, Springer abstract
Piwkowska 2007Piwkowska, Z., Brette, R., Wolfart, J., Debay, D., Monier, C., Rudoph-Lilith, M., Fournier, J., Levy, M., Fregnac, Y., Destexhe, A., Le Masson, G. and Bal, T. Thalamocortical hybrid networks and an introduction to Active Electrode Compensation. Dynamic Clamp meeting, Cambridge. (2007) (Invited conference).
Pospischil et al. 2007bPospischil, M., Piwkowska, Z., Rudolph, M., Bal, T. and Destexhe, A. Inhibitory conductance dynamics in cortical neurons during activated statesNeurocomputing (2007) 70: 1602-1604 abstract, fulltext
Renaud et al. 2007Renaud, S., Tomas, J., Bornat, Y., Daouzli, A. and Saïghi, S. Neuromimetic ICs with analog cores: an alternative for simulating spiking neural networksInternational Symposium on Circuits And Systems 2007, ISCAS07, New-Orleans, USA, May 27-30, 2007, pp 3355-3358, ISBN 1-4244-0921-1 fulltext
Renaud et al., 2007bRenaud, S., Bornat, Y., Daouzli, A., Saïghi, S. Engineering Neuromorphic systemsNeurocomp 2007, Paris, France (2007)
Reynaud et al. 2007Reynaud, A., Barthelemy, F., Vanzetta, I., Masson, G.S. and Chavane, F.Input output transformation in the visuo-oculomotor loop: comparison of real-time optical imaging recording in V1 and ocular following responses to center-surround stimulation6th FENS Meeting Abstract A179.21 / Italian Archives of Biology (2007) 145: 251-262
Reynaud et al. 2009Reynaud, A., Masson, G.S. and Chavane, F.Cortical origin of contrast response function contextual modulation in V1 population activity measured with voltage-sensitive dye imagingJournal of Vision (2009) 9(8):749, 749a.VSS, Naples FL.
Rochel et al. 2007Rochel, O., Chemla, S., Kornprobst, P., Vieville, T., Daouzli, A., Lewis, N. and Renaud, S.Spiking neural networks in silico: from single neurons to large scale networksSignal and Devices Conference (SSD? 2007), Hammamet, Tunisia, March 2007
Rochel et al. 2007bRochel, O., Chemla, S., Kornprobst, P., Viéville, T., Daouzli, A., Saighi, S., Lopez, C. and Renaud, S. A first step towards in silico neuronal implementation of early-vision mapSSD'07: Fourth International Multi-Conference on Systems, Signals & Devices, March 19-22, 2007, Hammamet, Tunisia fulltext
Rostro-Gonzalez et al. 2009Rostro-Gonzalez, H., Cessac, B., Vasquez, J.C. and Viéville, T.Back-engineering of spiking neural networks parametersPoster at Eighteenth Annual Computational Neuroscience Meeting: CNS*2009 Berlin, Germany. 18-23 July 2009
doi:10.1186/1471-2202-10-S1-P289
abstract
Roux et al. 2009Roux, S., Suchanek, D., Aertsen, A. and Boucsein, C. Visual evoked activity in V1 of anesthetized rats: from gratings to natural imagesNWG Annual Meeting (Göttingen) (2009), T16-9C
Roux et al. 2009aRoux, S., Suchanek, D., Aertsen, A. and Boucsein, C. Visual evoked activity in V1 of anesthetized ratsSFN Annual Meeting (Chicago) (2009), abstr. 353
Roux et al. 2009bRoux, S., Suchanek, D., Aertsen, A. and Boucsein, C.Visual evoked activity in V1 of anesthetized ratsSFN Annual Meeting (Chicago), abstr. 353 (2009)
Rudolph and Destexhe 2006cRudolph, M. and Destexhe, A.Event-based simulation strategy for conductance-based synaptic interactions and plasticityNeurocomputing (2006) 69: 1130-1133
Rudolph and Destexhe 2007Rudolph, M. and Destexhe, A.How much can we trust neural simulation strategies?Neurocomputing (2007) 70(12-12): 1966-1969 abstract, fulltext
Rudolph and Destexhe 2007aRudolph, M. and Destexhe, A.The complex world of the small brainProceedings of the Computation and Neural Systems 2007 Conference (2007) pp. 92, 2007.
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Saighi et al. 2006bSaighi, S., Bornat, Y., Tomas, J. and Renaud, S.Neuromimetic ICs and System for Parameters Extraction in Biological Neuron ModelsInternationaI Symposium on Circuits And Systems, ISCAS06, Island of Kos, (Grèce), 2006
Saighi et al. 2008Saïghi, S., Buhry, L., Bornat, Y., N'kaoua, G., Tomas, J. and Renaud, S.Adjusting the Neurons Models in Neuromimetic ICs using the Voltage-Clamp TechniqueProc. of the Int. Symp. on Circuits And Systems (ISCAS08), Seattle, USA (2008):1564-1567 abstract, fulltext
Saighi et al. 2010aSaïghi, S., Tomas, J., Bornat, Y., Belhadj, B., Malot, O., Renaud, S.Real-time multiboard architecture for analog spiking neural networkIEEE International Symposium on Circuits and Systems - ISCAS (2010), Paris, France
Saighi et al. 2010bSaighi, S., Levi, T., Belhadj, B., Malot O., Tomas, J.Hardware system for biologically realistic, plastic, and real-time spiking neural network simulationsInternational Joint Conference on Neural Networks - IJCNN (2010), Barcelona, Spain
Sari et al. 2009Sari, K., Fuyuki, K., Fournier, J., Cyril, M., Fregnac, Y. and Kisvarday, Z.A combined approach to unravel single cell function using complex visual stimuli, intracellular staining and intrinsic signal optical imaging in the cat primary visual cortex Frontiers in Systems Neuroscience. Conference Abstract: 12th Meeting of the Hungarian Neuroscience Society (2009). doi: 10.3389/conf.neuro.01.2009.04.202 fulltext
Schemmel 2009Schemmel, J.VLSI Implementations of Very Large Scale Neuromorphic Circuitstalk on the ESSCIRC/BIECS 09, Athens, Greek fulltext
Schemmel et al. 2006Schemmel, J., Gruebl, A., Meier, K. and Mueller, E.Implementing Synaptic Plasticity in a VLSI Spiking Neural Network ModelProceedings of the 2006 International Joint Conference on Neural Networks (IJCNN'06), 2006, IEEE Press abstract, fulltext
Schemmel et al. 2007Schemmel, J., Bruederle, D., Meier, K., Ostendorf, B.Modeling Synaptic Plasticity within Networks of Highly Accelerated I&F NeuronsProceedings of the 2007 IEEE International Symposium on Circuits and Systems (2007) abstract
Schemmel et al. 2010Schemmel, J., Brüderle, D., Grübl, A., Hock, M., Meier, K. and Millner, S. A Wafer-Scale Neuromorphic Hardware System for Large-Scale Neural ModelingProceedings of the 2010 IEEE International Symposium on Circuits and Systems, Paris, France (2010):1947-1950 fulltext
Schmidt et al. 2010Schmidt, N., Peyré, G., Frégnac, Y. and Roland, P.E. Separation of traveling waves in cortical networks using optical imagingProceedings of the 2010 IEEE international conference on Biomedical imaging: from nano to Macro, Rotterdam, Netherlands (2010): 868-871 abstract
Scholze et al. 2007Scholze, S., Ehrlich, M. and Schüffny, R.Modellierung eines wafer-scale Systems für pulsgekoppelte neuronale NetzeProceedings of Dresdener Arbeitstagung Schaltungs- und Systementwurf, DASS07, Dresden 2007, pp. 61 - 66 fulltext
Scholze et al. 2010Scholze, S., Henker, S., Partzsch, J., Mayr, C. and Schüffny, R.Optimized Queue Based Communication in VLSI Using a Weakly Ordered Binary HeapIEEE International Conference on Mixed Design of Integrated Circuits and Systems MIXDES 2010, pp. 316-320
Schrauwen et al 2009Schrauwen, B., Buesing, L. and Legenstein, R.On Computational Power and the Order-Chaos Phase Transition in Reservoir ComputingIn Proc. of NIPS 2008, Advances in Neural Information Processing Systems, volume 20. MIT Press, 2009 fulltext
Tomas et al 2010Tomas, J., Silver, J., Saïghi, S., Barnaby, H., Renaud, S.A conductance-based silicon neuron with membrane-voltage dependent temporal dynamicsIEEE North East Workshop on Circuits and Systems - NEWCAS (2010), Montréal, Canada
Tomas et al. 2006Tomas, J., Bornat, Y., Saighi, S., Levi, T. and Renaud, S.Design of a modular and mixed neuromimetic ASICICECS 2006, 13th IEEE International Conference on Electronics, Circuits and Systems, Nice, France, 10-13 December 2006, pp. 946-949 abstract
Touboul et al. 2007Touboul, J., Faugeras, O., and Rochel, O.Event-driven mathematical framework for noisy integrate-and-fire neuron networksPoster at CNS 2007, Toronto (Canada).
Uchizawa et al. 2006Uchizawa, K., Douglas, R. and Maass, W.Energy Complexity and Entropy of Threshold CircuitsAutomata, Languages and Programming, 33rd International Colloquium, ICALP 2006, Venice, Italy, July 10-14, 2006, Proceedings, Part I. Published by Springer as Lecture Notes in Computer Science (2006) 4051: 631-642 fulltext
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Vasquez et al. 2009Vasquez, J. C., Cessac, B., Rostro-Gonzalez, H. and Viéville, T. How Gibbs Distributions may naturally arise from synaptic adaptation mechanismCNS (2009), Berlin
Viéville and Cessac 2009Viéville, T. and Cessac, B. Parametric Estimation of spike train statisticsCNS 09 Berlin
Voges et al. 2008Voges, N., Kremkow, J. and Perrinet, L.Dynamics of cortical networks based on patchy connectivity patternsFENS Abstr. (2008) 4: 075.14 abstract
Wendt et al. 2007Wendt, K., Ehrlich, M., Mayr, C. and Schüffny, R.Abbildung komplexer, pulsierender, neuronaler Netzwerke auf spezielle Neuronale VLSI HardwareProceedings of Dresdener Arbeitstagung Schaltungs- und Systementwurf, DASS07, Dresden 2007, pp. 127 - 132 fulltext
Wendt et al. 2008Wendt, K., Ehrlich, M., Schüffny, R.A graph theoretical approach for a multistep mapping software for the FACETS projectWSEAS (2008) 6: 189 - 194 fulltext
Wendt et al. 2010Wendt, K. and Ehrlich, M. and Schüffny, R.GMPath - a path language for navigation, information query and modification of data graphs
Proceedings of ANNIIP 2010, 2010, pp.31-42
Yavuz et al.Yavuz, E., Monier, C., and Frégnac, Y. Blind Signal Separation Methods for VSDIOral Presentation for FACETS Workshop « Macroscopic Aspects of Neuronal Activity: VSD, LFP and Macroscopic Models ». Marseille/France November 30, 2009.
Yger et al. 2009Yger, P., El Boustani, S., Frégnac, Y. and Destexhe, A. A mean-field based formalism for modeling and analysis of voltage-sensitive dye imaging data. American Society For Neurosciences (SFN), 35: Chicago, USA. 2009
Yger et al. 2007Yger, P., Marre, O., El Boustani, S., Baudot, P., Monier, C., Levy, M., Davison, A. and Y. Frégnac Chaos control: reliable signal propagation and pattern completion in chaotic neuronal networks. American Society for Neuroscience Abstract. 33: 792.3.
Yger et al. 2007bYger, P., Morrison, A., Diesmann, M., Davison, A.P., and Frégnac, Y. STDP in topographical neuronal networksRIKEN BSI Workshop, Wako, Japan. (2007)
Yger et al. 2008Yger, P., Davison, A.P and Frégnac, Y. PyNN: a common Python interface for network simulators.Talk at the 17th Annual Computational Neuroscience Meeting (CNS), Portland, USA. 2008
Yger et al. 2009Yger, P., El Boustani, S., Marre, O., Davison, A.P., Destexhe, A. and Frégnac, Y.Spatial organization of evoked neuronal dynamics in 2D recurrent networks, with or without structured stimulation.Eighteenth Annual Computational Neuroscience Meeting CNS (2009) 10: 94 abstract
Yger et al. 2009bYger, P., Brüderle, D., Eppler, J., Kremkow, J., Pecebski, D., Perrinet, L., Schmucker, M., Muller, E. and Davison, A.NeuralEnsemble: Towards a meta-environment for network modeling and data analysisIn Proceedings of the 32th Göttingen Neurobiology Conference

Web publication (reviewed)

Destexhe, A.Spike-and-wave oscillationsIn: Scholarpedia, Encyclopedia of Computational Neuroscience, Edited by Izhikevich, E., 2007, p.8687 fulltext
Destexhe 2007bDestexhe, A. High-conductance state.Scholarpedia (2007) 2(11): 1341 http://www.scholarpedia.org/article/High-Conductance_State fulltext

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
Alonso et al. 2005Alonso-Nanclares, L., Anderson, S., Ascoli, G., Benavides-Piccione, R., Burkhalter, A., Buzsaki, G., Cauli, B., DeFelipe, J., Fairen, A., Feldmeyer, D., Fishel, G., Frégnac, Y., Freund, T. F., Fukuyi, K., Glarreta, M., Goldberg, J., Helmstaedter, M., Hensch, T., Hestrin, S., Kisvarday, Z., Lambolez, B., Lewis, D., McBain, C., Marin, O., Markram, H., Monyer, H., Muñoz, A., Petersen, C., Rockland, K., Rossier, H., Ruby, B., Somogyi, P., Staiger, J. F., Tamas, G., Thomson, A., Toledo-Rodriguez, M., Wang, X.-J., Wang, Y., West, D. and Yuste, R.Nomenclature of features of GABAergic interneurons of the cerebral cortex.Web publication (2005) fulltext
ALUF 2007b Ad Aertsen - an expedition into the brainBio Pro, the Biotech / Life Science Portal Baden-Württemberg (December 16, 2007) fulltext
ALUF 2008d How thoughts ariseThinking Christian (January 8, 2008) http://www.thinkingchristian.net/?p=1194 fulltext
ALUF 2008e How thoughts are generated BioPro: The Biotech/Life Sciences Portal Baden-Württemberg (January 2008) fulltext
ALUF 2008f Scientists of the BCCN Freiburg fathom the fundamental components of memory and thoughtWorld of Photonics Portal (2008) fulltext
Chossat and Faugeras 2009Chossat, P. and Faugeras, O.Hyperbolic planforms in relation to visual edges and textures perception http://arxiv.org/pdf/0907.0963v2 fulltext

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
Davison et. alHelmholtz database: released as open-source software: http://www.dbunic.cnrs-gif.fr/documentation/helmholtz http://software.incf.org/software/helmholtz/
Albert 2010Albert, M.Liquid Computing mit Neuromorpher HardwareBachelor thesis (in German language), University of Heidelberg, 2010 abstract, fulltext
Belhadj and Tomas 2008Belhadj, B. and Tomas, J.Un système mixte de traitement de l?information neuronale destiné à la simulation des réseaux de neurones réalistesin Journées Nationales du Réseau Doctoral en Microélectronique (JNRDM'08), Bordeaux, France, 2008
Belhady 2010Belhadj, B.Systèmes neuromorphiques temps réel: contribution à l?intégration de réseaux de neurones biologiquement réalistes avec fonctions de plasticitéPhD thesis (French), University of Bordeaux, July 22, 2010
Bergel 2010Bergel, A.Transforming the BCPNN Learning Rule for non-spiking units to a Learning Rule for spiking unitsMaster thesis at KTH (2010) abstract
Brüderle 2009Brüderle, D.Neuroscientific Modeling with a Mixed-Signal VLSI Hardware SystemPh.D. thesis at the University of Heidelberg (2009) fulltext
Cessac 2009Cessac, B.Neural Networks as dynamical systemsarXiv:0901.2203v2 abstract, fulltext
Destexhe and Crunelli 2008Destexhe, A. and Crunelli, V.Editorial: Methods for computational neuroscience. J. Neurosci. Methods (2008) 30: 269-270
Escobar et al. 2007Escobar, M.-J., Masson, G. S., Vieville, T. and Kornprobst, P.Spike to Spike Model and Applications: A biological plausible approach for the motion processing.INRIA Research Report 6280
Escobar et al. 2008bEscobar, M.-J. , Masson, G.S., Vieville, T. and Kornprobst, P.Rate versus synchrony code for human action recognitionINRIA research report 6669 (2008) fulltext
Faugeras et al. 2007Faugeras, O., Grimbert, F., and Slotine, J.-J.Stability and synchronization in neural fieldsINRIA Research Report no 6212, June 2007. Submitted to SIAM Applied Maths. Also a poster "Synchronizing a 2D continuum of two populations of neural masses" at the Sixteenth Annual Computational Neuroscience Meeting (CNS), 2007 abstract, fulltext
Friedmann 2009Simon FriedmannExtending a Hardware Neural Network Beyond Chip BoundariesDiploma thesis (English), University of Heidelberg (2009) HD-KIP 09-41 fulltext
Höppner, 2008Höppner, S.Development of components for a fractional-N-PLL in CMOS-TechnologyDiploma-Thesis (2008) at the Insitute of Fondations of Electrical and Electronic Engineering, Technische Universität Dresden, Germany
Hörzer 2008Hörzer, G.Extraction of Information about the Behavioural state of Monkeys from Neural Recordings with Methods from Machine LearningMasterthesis (2008) Institute for Theoretical Computer Science, TUG, Austria
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
Johansson 2006Johansson, C.An Attractor Memory Model of NeocortexPhD thesis (2006), Computer Science and Communication. Stockholm, Royal Institute of Technology, Sweden.
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
Nikolic et al. 2007aNikolic, D., Haeusler, S., Singer, W. and Maass, W.Temporal dynamics of information content carried by neurons in the primary visual cortexProc. of NIPS 2006, Advances in Neural Information Processing Systems, volume 19. MIT Press, 2007. abstract
Partzsch 2007Partzsch, J.Benchmark-Toolbox for the FACETS-Design-FrameworkDiploma-Thesis (2007) at the Insitute of Fondations of Electrical and Electronic Engineering, Technische Universität Dresden, Germany
Philipp 2008Philipp, S.Design and Implementation of a Multi-Class Network Architecture for Hardware Neural NetworksPh.D. thesis at the Kirchhoff Institut für Physik (2008) fulltext
Rasch 2008Rasch, M. J.Analysis of Neural Signals: Interdependence, Information Coding, and Relation to Network ModelsPh.D. Dissertation (2008), Institute for Theoretical Computer Science, TUG, Austria abstract
Schnepel 2007Schnepel, P.Non-linear Integration In the Apical Dendrite of Neocortical Pyramidal NeuronsMaster's Thesis (2007), Faculty Biology, Albert-Ludwigs-University Freiburg, Germany
Scholze 2007Scholze, S.Development, Verification and Implementation of a serial GB-Link within a 0.18um-CMOS-TechnologyDiploma-Thesis (2007) at the Insitute of Fondations of Electrical and Electronic Engineering, Technische Universität Dresden, Germany
Touboul 2008bTouboul, J.Nonlinear and stochastic models in neurosciencePhD thesis at Ecole Polytechnique de Paris (2008)
Touboul and Brette 2008bTouboul, J and Brette, R.Spiking dynamics of bidimensional integrate-and-fire neurons.INRIA Research Report (2008) no 6531, September 2008 abstract
Wendt 2007Wendt, K.Mapping- and Configuration-Tool for the FACETS-Design-FrameworkDiploma-Thesis (2007) at the Insitute of Fondations of Electrical and Electronic Engineering, Technische Universität Dresden, Germany
Wohrer 2007Wohrer, A.Mathematical study of a neural gain control mechanismINRIA Research Report 6327 fulltext
Wohrer 2008Wohrer, A.The vertebrate retina: A functional reviewINRIA Research Report 6232
Wohrer 2008bWohrer, A.Model and large-scale simulator of a biological retina with contrast gain controlPhD, University of Nice Sophia-Antipolis.
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TV show

ALUF 2008g Wie Gedanken entstehenTV show "Service aktuell: Gesundheit" ARD Digital EinsPlus (April 15, 2008) fulltext
UHEI 2007b Superrechner soll Verständnis von Nervenleiden helfennano (German TV series on the channel "3sat". Scenes from the BlueBrain project and UHEI) 5 March 2007 fulltext

Newspaper article

ALUF 2007a Die Maschine im KopfBadische Zeitung, Köpfe der Universität (October 12, 2007) fulltext
ALUF 2008a Wie Gedanken entstehenStadtkurier Freiburg (January 10, 2008) fulltext
ALUF 2008h Was passiert genau jetzt in Ihrem Gehirn? Der Freiburger Mathematiker Stefan Rotter arbeitet an einem Grundmodell der HirnfunktionBadische Zeitung (March 28, 2008) fulltext
KTH 2008 En vacker dag blir datorn smartare än vi ("One day the computer will be smarter than us")Swedish daily newspaper DN, August 17 2008

Press release

ALUF 2008b How thoughts arisePress release BCCN (January 10, 2008) fulltext
ALUF 2008c How Thoughts ArisePress release of the Freiburg University (January 8, 2008) fulltext
ALUF 2008i Signalverarbeitung im Hintergrundrauschen des GehirnsPress release of the Freiburg University (July 24, 2008) fulltext
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