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352 publication entries, 17 of them (printed in bold in the list) acknowledge the project support.
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Paper (reviewed)

Ali and Thomson 2007	Ali, 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 2010	Ali, A.B. and Todorova, M.	Asynchronous release of GABA via tonic cannabinoid receptor activation at identified interneuron synapses in rat CA1	European Journal of Neuroscience (2010) 31(7):1196-1207 doi:10.1111/j.1460-9568.2010.07165.x	abstract
Ali et al. 2007	Ali, 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. 2008	Badel, 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 traces	Journal of Neurophysiology (2008) 99: 656-666	fulltext
Badel et al. 2008b	Badel, 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 curves	Biological Cybernetics (2008) 99(4-5): 361-370	abstract, fulltext
Badel et al. 2008c	Badel, L., Gerstner, W. and Richardson, M.J.E.	Spike-triggered averages for passive and resonant neurons receiving filtered excitatory and inhibitory synaptic drive	Phys. Rev. E (2008) 78:011914 doi:10.1103/PhysRevE.78.011914	abstract, fulltext
Badoual et al. 2006	Badoual, 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
Barthélemy et al. 2008	Barthélemy, F., Perrinet, L., Castet, E. and Masson, G.	Dynamics of distributed 1D and 2D motion representations for short-latency ocular following	Vision Research (2008) 48(4):501-522	abstract
Benjaminsson et al. 2010	Benjaminsson, 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 fMRI	Front. Syst. Neurosci. (2010) 4:34 doi:10.3389/fnsys.2010.00034	abstract, fulltext
Bill et al. 2010	Bill, J., Schuch, K., Brüderle, D., Schemmel, J., Maass, W. and Meier, K.	Compensating inhomogeneities of neuromorphic VLSI devices via short-term synaptic plasticity	Front. Comput. Neurosci. (2010) 4:129. doi:10.3389/fncom.2010.00129	abstract, BibTeX
Boucsein et al. 2009a	Boucsein, C., Tetzlaff, T., Meier, M., Aertsen, A. and Naundorf, B.	Dynamical response properties of neocortical neuron ensembles: multiplicative versus additive noise	Journal of Neuroscience (2009) 29(4):1006-1010 doi:10.1523/JNEUROSCI.3424-08.2009	fulltext
Brette et al. 2008	Brette, 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. 2009	Brette, 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. 2009	Brüderle, 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 system	Front. Neuroinform. (2009) 3:17 doi:10.3389/neuro.11.017.2009	abstract, fulltext, BibTeX
Bruederle et al. 2011	Brüderle, D., Petrovici, M.A., Vogginger, B., Ehrlich, M., Pfeil, T., Millner, S., Grübl, A., Wendt, K., Müller, E., Schwartz, M.O., de Oliveira, D.H., Jeltsch, S., Fieres, J., Schilling, M., Müller, P., Breitwieser, O., Petkov, V., Muller, L., Davison, A.P., Krishnamurthy, P., Kremkow, J., Lundqvist, M., Muller, E., Partzsch, J., Scholze, S., Zühl, L., Mayr, C., Destexhe, A., Diesmann, M., Potjans, T.C., Lansner, A., Schüffny, R., Schemmel, J. and Meier, K.	A comprehensive workflow for general-purpose neural modeling with highly configurable neuromorphic hardware systems.	Biol Cybern. (2011) 104(4-5):263-96 doi:10.1007/s00422-011-0435-9	fulltext, BibTeX
Budd et al. 2010	Budd, 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 Conservation	PLoS Comput Biol (2010) 6(3): e1000711 doi:10.1371/journal.pcbi.1000711	fulltext
Buesing and Maass 2009	Buesing, L., and Maass, W.	A Spiking Neuron as Information Bottleneck	Neural Computation (2010) 22(8): 1961-1992 doi:10.1162/neco.2010.08-09-1084	abstract
Buesing et al. 2009	Buesing, L., Schrauwen, B., and Legenstein, R.	Connectivity, Dynamics, and Memory in Reservoir Computing with Binary and Analog Neurons	Neural Computation (2010) 22(5):1272-1311	abstract, fulltext
Buzas et al. 2006	Buzás, 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 cortex	The Journal of Comparative Neurology (2006) 499(6): 861 - 881	abstract
Cessac and Viéville 2008	Cessac, B. and Viéville, T.	On Dynamics of Integrate-and-Fire Neural Networks with Conductance Based Synapses	Frontiers in Neuroscience (2008) 2: 2	fulltext
Cessac et al. 2009	Cessac, B., Paugam-Moisy, H. and Viéville, T.	Overview of facts and issues about neural coding by spikes	Journal of Physiology-Paris (2010) 104(1-2): 5-18 doi:10.1016/j.jphysparis.2009.11.002	fulltext
Cessac et al. 2009b	Cessac, B., Rostro, H., Vasquez, J.C. and Viéville, T.	How Gibbs distributions may naturally arise from synaptic adaptation mechanisms	J. Stat. Phys. (2009) 136 (3):565-602 doi:10.1007/s10955-009-9786-1
Chemla and Chavane 2010b	Chemla, S. and Chavane, F.	Voltage-sensitive dye imaging: Technique review and models	Journal of Physiology-Paris (2010) 104(1-2):40-50 doi:10.1016/j.jphysparis.2009.11.009
Chemla et al. 2009	Chemla, S., Vieville, T. and Chavane, F.	Voltage-Sensitive Dye Imaging: Technique review and Models	J Physiol Paris. (2010) 104(1-2):40-50 doi:10.1016/j.jphysparis.2009.11.009	abstract, fulltext
Clopath et al. 2007	Clopath, 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. 2008	Clopath, C., Ziegler, L., Vasilaki, E., Buesing, L. and Gerstner, W.	Tag-Trigger-Consolidation: A model of early and late long-term potentation and depression	PLoS Comput Biol (2008) 4(12):e1000248 doi:10.1371/journal.pcbi.1000248	abstract, fulltext
Clopath et al. 2008c	Clopath, 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, fulltext
Clopath et al. 2009	Clopath, C., Büsing, L., Vasilaki, E. and Gerstner, W.	Connectivity reflects coding: a model of voltage-based spike-timing-dependent plasticity with homeostasis	Nature Neuroscience (2010) 13: 344?352 doi:10.1038/nn.2479	abstract
Coath et al , 2008	Coath, 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 2009b	Davison, 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. 2009	Davison, A.P., Brüderle, D., Eppler, J., Kremkow, J., Muller, E., Pecevski, D., Perrinet, L. and Yger, P.	PyNN: a common interface for neuronal network simulators	Frontiers in Neuroinformatics (2009) 2:11 doi:10.3389/neuro.11.011.2008
Davison et al. 2009c	Davison, 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. 2005	De Schutter, E., Ekeberg, Ö., Hellgren Kotaleski, J., Achard, P. and Lansner, A.	Biophysically detalied modelling of microcircuits and beyond	Trends Neurosci (2005) 28: 562-569
Destexhe et al. 2007	Destexhe, A., Hughes, S.W., Rudolph, M. and Crunelli, V.	Are corticothalamic `up' states fragments of wakefulness?	Trends in Neurosciences (2007) 30: 334-342	fulltext
Djurfeldt et al. 2008	Djurfeldt, M., Lundqvist, M., Johansson, C., Rehn, M., Ekeberg, Ö. and Lansner, A.	Brain-scale simulation of the neocortex on the Blue Gene/L supercomputer	IBM J Research and Development (2008) 52: 31-42	abstract, fulltext
Djurfeldt et al. 2008b	Djurfeldt, 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. 2005	Ego-Stengel, V., Mello e Souza, T., Jacob, V. and Shulz, D.E.	Spatiotemporal characteristics of neuronal sensory integration in the barrel cortex of the rat	J Neurophysiol (2005) 93:1450-1467
El Boustani and Destexhe 2008	El 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 2010	El 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. 2009	El 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 Neurons	PLoS Comput Biol (2009) 5(9): e1000519 doi:10.1371/journal.pcbi.1000519	fulltext
El Boustani et al., 2007	El Boustani, S., Pospischil, M., Rudolph-Lilith, M. and Destexhe, A.	Activated cortical states: experiments, analyses and models	Journal of Physiology (2007) 101: 99-109
Eppler 2009	Eppler, J.M.	PyNEST: A Python interface to NEST	The Neuromorphic Engineer (2009) doi:10.2417/1200912.1703	fulltext
Eppler et al. 2009	Eppler, J.M., Helias, M., Muller, E., Diesmann, M. and Gewaltig, M.-O.	PyNEST: a convenient interface to the NEST simulator	Frontiers in Neuroinformatics (2009) 2:12 doi:10.3389/neuro.11.012.2008	abstract, fulltext
Escobar et al. 2009	Escobar, M.-J., Masson, G.S., Vieville, T. and Kornprobst, P.	Action recognition using a bio-inspired feedforward spiking network	International Journal of Computer Vision (2009) 82: 284-301	abstract
Faugeras et al. 2007b	Faugeras, 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. 2009a	Faugeras, O., Touboul, J. and Cessac, B.	A constructive mean field analysis of multi population neural networks with random synaptic weights and stochastic inputs	Front. Comput. Neurosci. (2009) 3:1	abstract
Frégnac et al. 2010	Frégnac, 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. 2008	Fuentealba, 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 activity	Neuron (2008) 57: 917-29	abstract
Gleeson et al. 2010	Gleeson, 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. 2008	Gretton, A., Borgwardt, K.M., Rasch, M., Scholkopf, B. and Smola, A.J.	A Kernel Method for the two-sample-problem	Journal of Machine Learning Research (2008) : 1-10	fulltext
Häusler and Maass 2007	Häusler, S. and Maass, W.	A statistical analysis of information processing properties of lamina-specific cortical microcircuit models	Cerebral Cortex (2007) 17(1):149-162	fulltext
Haeusler et al. 2007	Haeusler, S. and Maass, W.	A statistical analysis of information processing properties of lamina-specific cortical microcircuit models	Cerebral Cortex (2007) 17(1):149-162	fulltext
Haeusler et al. 2008	Haeusler, 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. 2008	Helias, 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. 2009	Hines, M., Davison, A.P. and Muller, E.	NEURON and Python	Frontiers in Neuroinformatics (2009) 3:1 doi:10.3389/neuro.11.001.2009	abstract, fulltext
Hoffart et al. 2009	Hoffart, 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. 2010	Hoffart, 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 dexamethasone	Clinical & Experimental Ophthalmology (2010) 38(4):346?352 doi:10.1111/j.1442-9071.2010.02252.x
Holzmann and Hausser 2009	Holzmann, G. and Hauser, H	Echo State Networks with Filter Neurons and a Delay & Sum Readout	Neural 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 circuits	Front. Neurosci. (2011) 5:73 doi:10.3389/fnins.2011.00073	fulltext, BibTeX
Jacob et al. 2007	Jacob, 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 Rat	The Journal of Neuroscience (2007) 27: 1271-1284
Jacob et al., 2008	Jacob, V., Le Cam, J., Ego-Stengel, V. and Shulz, D.E.	Emergent Properties of Tactile Scenes Selectively Activate Barrel Cortex Neurons	Neuron (2008) 60:1112-1125 doi:10.1016/j.neuron.2008.10.017
Johansson and Lansner 2006b	Johansson, C. and Lansner, A.	Imposing biological constraints onto an abstract neocortical attractor network model	Neural Computation. (2007) 19:1871-1896	abstract
Johansson and Lansner 2007	Johansson, C. and Lansner, A.	Imposing Biological Constraints onto an Abstract Neocortical Attractor Network Model	Neural Computation (2007) 19(7): 1871-1896
Johansson and Lansner 2007b	Johansson, C. and Lansner, A.	Towards Cortex Sized Artificial Neural Systems	Neural Networks (2007) 20: 48-61
Johansson and Lansner 2008	Johansson, 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 2009	Johansson, C. and Lansner, A.	Implementing plastic weights in neural networks using low precision arithmetic.	Neurocomputing (2009) 72: 968-972	abstract
Johansson et al. 2006	Johansson, C., Ekeberg, Ö. and Lansner, A.	Clustering of stored memories in an attractor network with local competition	Int. J. Neural Systems (2006) 16: 393-403
Jolivet et al. 2006	Jolivet, R., Rauch, A., Lüscher, H.-R. and Gerstner, W.	Predicting spike timing of neocortical pyramidal neurons by simple threshold models	Journal of Computational Neuroscience (2006) 21:35-49	fulltext
Jolivet et al. 2008	Jolivet, R., Kobayashi, R., Rauch, A., Naud, R., Shinomoto, S. and Gerstner, W.	A benchmark test for a quantitative assessment of simple neuron models	Journal of Neuroscience Methods (2008) 169: 417-424	fulltext
Jolivet et al. 2008a	Jolivet, R., Schürmann, F., Berger, T.K., Gerstner, W. and Roth, A.	The Quantitative Single-Neuron Modeling Competition	Biological Cybernetics archive (2008) 99 (4-5): 417-426	abstract
Klampfl et al. 2007b	Klampfl, S., Legenstein, R. and Maass, W.	Spiking neurons can learn to solve information bottleneck problems and to extract independent components	Neural Comput. (2009) 21(4):911-59. doi:10.1162/neco.2008.01-07-432	abstract
Kremkow et al. 2009c	Kremkow, J., Perrinet, L., Masson, G.S. and Aertsen, A.	Functional consequences of correlated excitatory and inhibitory conductances	Journal of Computational Neuroscience (2010) 28(3): 579-594 doi:10.1007/s10827-010-0240-9	abstract
Kriener et al 2008	Kriener, B., Tetzlaff, T., Aertsen, A., Diesmann, M. and Rotter, S.	Correlations and population dynamics in cortical networks	Neural Computation (2008) 20: 2185-2226
Kriener et al. 2009	Kriener, 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
Lansner 2009	Lansner, A.	Associative memory models ? from cell assembly theory to biophysically detailed cortex simulations.	Trends Neurosci (2009) 32: 178-186	abstract
Le Be and Markram 2006	Le Be, J.V. and Markram, H.	Spontaneous and evoked synaptic rewiring in the neonatal neocortex	Proc Natl Acad Sci U S A. (2006) 103(35):13214-13219
Legenstein and Maass 2006	Legenstein, R.A. and Maass, W.	A criterion for the convergence of learning with spike timing dependent plasticity	Advances in Neural Information Processing System (MIT Press). (2006) 18:763-770	abstract, fulltext
Legenstein and Maass 2007	Legenstein, R. and Maass, W.	On the classification capability of sign-constrained perceptrons	Neural Comput. (2008) 20(1):288-309	abstract, fulltext
Legenstein and Maass 2007c	Legenstein, R.A. and Maass, W.	Edge of chaos and prediction of computational performance for neural microcircuit models	Neural Networks (2007) 20(3): 323-334	abstract, fulltext
Legenstein et al. 2008	Legenstein, R., Pecevski, D. and Maass, W.	A learning theory for reward-modulated spike-timing-dependent plasticity with application to biofeedback	PLoS Computational Biology (2008) 4(10): e1000180	abstract, fulltext
Lévi et al. 2009	Levi, T., Tomas, J., Lewis, N. and Fouillat, P.	CMOS Resizing Methodology for Analog Circuits	IEEE Design and Test of Computers (2009) 26: 78-87
Long et al. 2009	Long, P., Mercer, A., Begum, R., Stephens, G.J., Sihra, T.S. and Jovanovic JN	Nerve Terminal GABAA Receptors Activate Ca2+/Calmodulin-dependent Signaling to Inhibit Voltage-gated Ca2+ Influx and Glutamate Release	The Journal of Biological Chemistry (2009) 284:8726-8737 doi:10.1074/jbc.M805322200	abstract
Lucas-Meunier et al. 2009	Lucas-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. 2005	Lundqvist, M., Rehn, M. and Lansner, A.	Attractor dynamics in a modular network model of the cerebral cortex	Neurocomputing (2005) 69: 1155-1159
Lundqvist et al. 2006	Lundqvist, M., Rehn, M., Djurfeldt, M. and Lansner, A.	Attractor dynamics in a modular network model of the neocortex	Network Computation in Neural Systems (2006) 17: 253-276
Lundqvist et al. 2009	Lundqvist, M., Compte, A. and Lansner, A.	Bistable, Irregular Firing and Population Oscillations in a Modular Attractor Memory Network	PLoS Comput Biol. (2010) 6(6): e1000803 doi:10.1371/journal.pcbi.1000803	abstract
Marre et al. 2009b	Marre, 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
Migliore et al. 2006	Migliore, M., Cannia, C., Lytton, W.W., Markram, H. and Hines, M.L.	Parallel network simulations with NEURON	J Comput Neurosci. (2006) 21(2):119-129	fulltext
Montagnini et al. 2007	Montagnini, A., Mamassian, P., Perrinet, L.U., Castet, E. and Masson, G.S.	Bayesian modelling of dynamic motion integration	Journal of Physiology (Paris) (2007) 101(1-3):64-77
Montemurro et al. 2008	Montemurro, M.A., Rasch, M.J., Murayama, Y., Logothetis, N.K. and Panzeri, S.	Phase-of-firing coding of natural visual stimuli in primary visual cortex	Curr Biol. (2008) Mar 11;18(5):375-80
Morrison et al. 2007b	Morrison, A., Straube, S., Plesser, H.E. and Diesmann, M.	Exact subthreshold integration with continuous spike times in discrete time neural network simulations	Neural Computation (2007) 19: 47-79
Moser et al. 2010	Moser, 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. 2008	Naud, R., Marcille, N., Clopath, C. and Wulfram, G.	Firing patterns in the adaptive exponential integrate-and-fire	Biological Cybernetics (2009) vol. 99, num. 4-5: 335-347	abstract, fulltext
Nawrot et al. 2007a	Nawrot, 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. 2007b	Nawrot, 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. 2008	Nawrot, M.P., Boucsein, C., Rodriguez-Molina, V., Riehle, A., Aertsen, A. and Rotter, S.	Measurement of variability dynamics in cortical spike trains	J Neurosci Meth (2008) 169: 374-390	fulltext
Nawrot et al. 2009	Nawrot, M.P., Schnepel, P., Aertsen, A. and Boucsein, C.	Precisely timed signal transmission in neocortical networks with reliable intermediate-range projections	Frontiers in Neural Circuits (2009) 3 (1): 1-11 doi:10.3389/neuro.04.001.2009	abstract
Nessler et al. 2008	Nessler, B., Pfeiffer, M. and Maass, W.	Hebbian learning of Bayes optimal decisions	In Proc. of NIPS 2008: Advances in Neural Information Processing Systems, MIT Press (2009) 21:	fulltext
Nikolic et al. 2007	Nikolic, D., Haeusler, S., Singer, W. and Maass, W.	Temporal dynamics of information content carried by neurons in the primary visual cortex	Advances in Neural Information Processing Systems (2007) 19:1041-1048. MIT Press
Nikolic et al. 2010	Nikolic, D., Haeusler, S., Singer, W. and Maass, W.	Distributed Fading Memory for Stimulus Properties in the Primary Visual Cortex	PLoS Biol (2009) 7(12): e1000260 doi:10.1371/journal.pbio.1000260	fulltext
Pecevski et al. 2009	Pecevski, D., Natschläger, T. and Schuch, K.	PCSIM: a parallel simulation environment for neural circuits fully integrated with Python	Frontiers in Neuroinformatics (2009) 3:11	fulltext
Perrinet and Masson 2007	Perrinet, L.U. and Masson, G.S.	Modeling spatial integration in the ocular following response using a probabilistic framework	Journal of Physiology-Paris (2007) 101, 1-3: 46-55	abstract
Pfeiffer et al. 2008	Pfeiffer, M., Nessler, B., Douglas, R. and Maass, W.	Reward-Modulated Hebbian Learning of Decision Making	Neural Computation (2010) 22(6): 1399-144 doi:10.1162/neco.2010.03-09-980	abstract
Piwkowska et al. 2005	Piwkowska, Z., Rudolph, M., Badoual, M., Destexhe, A. and Bal, T.	Re-creating active states in vitro with a dynamic clamp protocol	Neurocomputing (2005) 65-66: 55-60	abstract, fulltext
Plesser and Diesmann 2009	Plesser, H.E. and Diesmann, M.	Simplicity and efficiency of integrate-and-fire neuron models	Neural Computation (2009) 21: 353-359	abstract
Pospischil et al. 2007	Pospischil, M., Piwkowska, Z., Rudolph, M., Bal, T. and Destexhe, A.	Calculating event-triggered average synaptic conductances from the membrane potential	Journal of Neurophysiology (2007) 97: 2544-2552	abstract, fulltext
Pospischil et al. 2008	Pospischil, M., Monier, C., Frégnac, Y., Markram, H. and Destexhe, A.	Minimal Hodgkin-Huxley type models for different classes of cortical and thalamic neurons	Biol Cybern. (2008) 99(4-5): 427-41	abstract
Pospischil et al. 2009	Pospischil, M., Piwkowska, Z., Bal, T. and Destexhe, A.	Extracting synaptic conductances from single membrane potential traces	Neuroscience (2009) 158: 545-552	fulltext
Rasch et al. 2008	Rasch, M.J.,Gretton, A., Murayama, Y., Maass, W. and Logothetis, N.K.	Inferring spike trains from local field potentials	Journal of Neurophysiology (2008) 99:1461-1476	fulltext
Renaud et al. 2010	Renaud, 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 networks	Neural Networks (2010) 23(7): 905-16 doi:10.1016/j.neunet.2010.02.006	fulltext
Rochefort 2009	Rochefort, 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 Cortex	Cerebral Cortex (2009) 19(10):2451-2465 doi:10.1093/cercor/bhp001	abstract
Rochefort et al. 2007	Rochefort, N.L., Buzás, P., Kisvárday, Z.F., Eysel, U.T. and Milleret, C.	Layout of transcallosal activity in cat visual cortex revealed by optical imaging	NeuroImage (2007) 36: 804-821	fulltext
Rodriguez-Molina et al. 2007	Rodriguez-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 Timing	PLoS ONE. (2007) 2(3): e319.	abstract, fulltext
Rudolph and Destexhe 2006	Rudolph, M. and Destexhe, A.	Integrate-and-fire neurons with high-conductance state dynamics for event-driven simulation strategies	Neural Computation (2006) 18: 2146-2210	abstract, fulltext
Rudolph and Destexhe 2006b	Rudolph, M. and Destexhe, A.	On the use of analytic expressions for the voltage distribution to analyze intracellular recordings	Neural Computation (2006) 18: 2917-2922	abstract, fulltext
Rudolph et al. 2007	Rudolph, M., Pospischil, M., Timofeev, I. and Destexhe, A.	Inhibition Determines Membrane Potential Dynamics and Controls Action Potential Generation in Awake and Sleeping Cat Cortex	The Journal of Neuroscience (2007) 27(20): 5280-5290	abstract
Sandström et al. 2009	Sandström, 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/s10827-009-0147-5	J Comput Neurosci (2009)	abstract, fulltext
Schemmel et al. 2008a	Schemmel, 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 doi:10.1109/IJCNN.2008.4633916	abstract, BibTeX
Schemmel et al. 2008b	Schemmel, 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	fulltext, BibTeX
Schrauwen et al. 2008	Schrauwen, B., Büsing, L. and Legenstein, R.	On computational power and the order-chaos phase transition in reservoir computing	In Proc. of NIPS 2008: Advances in Neural Information Processing Systems, volume 21. MIT Press, 2009	fulltext
Shulz 2010	Shulz, D.E. and Jacob, V.	Spike timing dependent plasticity in the intact brain: counteracting spurious spike coincidences.	Frontiers in Synaptic Neuroscience (2010) 2:137. doi:10.3389/fnsyn.2010.00137.
Silberberg and Markram 2007	Silberberg, G. and Markram, H.	Disynaptic Inhibition between Neocortical Pyramidal Cells Mediated by Martinotti Cells	Neuron (2007) 53(5): 735-746	abstract
Steimer et al. 2008	Steimer, A., Maass, W. and Douglas, R.	Belief-propagation in networks of spiking neurons	Neural Computation (2009) 21(9): 2502-2523 doi:10.1162/neco.2009.08-08-837	abstract
Stepanyants et al. 2007	Stepanyants, A., Hirsch, J.A., Martinez, L.M., Kisvárday, Z.F., Ferecskó, A.S. and Chklovskii, D.B.	Local Potential Connectivity in Cat Primary Visual Cortex	Cerebral Cortex (2008) 18(1): 13-28	abstract
Stepanyants et al. 2009	Stepanyants, A., Martinez, L. M., Ferecskó, A. S. and Kisvárday, Z. F.	The fractions of short- and long-range connections in the visual cortex	PNAS (USA) (2009) 106:3555-3560. doi:10.1073/pnas.0810390106
Sussillo et al. 2007	Sussillo, D., Toyoizumi, T. and Maass, W.	Self-tuning of neural circuits through short-term synaptic plasticity	J Neurophysiol (2007) 97: 4079-4095	abstract, fulltext
Tetzlaff et al. 2008	Tetzlaff, T., Rotter, S., Stark, E., Abeles, A., Aertsen, A. and Diesmann, M.	Dependence of neuronal correlations on filter characteristics and marginal spike-train statistics	Neural Computation (2008) 20: 2133-2184
Thomson and Lamy 2007	Thomson, A.M. and Lamy, C.	Functional maps of neocortical local circuitry	Frontiers in Neuroscience (2007) 1 (1): 19-42	fulltext
Touboul 2008	Touboul, J.	Bifurcation analysis of a general class of non-linear integrate and fire neurons	SIAM Applied Math (2008) 68(4): 1045-1079	fulltext
Touboul and Brette 2008	Touboul, J. and Brette, R.	Dynamics and bifurcations of the adaptive exponential integrate-and-fire model INRIA Research Report (2008) no 6563, July 2008. Accepted for publication with minor revision in Biological Cybernetics)	Biological Cybernetics archive (2008) 99 (4-5): 319-334	abstract, fulltext
Touboul and Faugeras 2007	Touboul, J. and Faugeras, O.	The statistics of spikes trains: a stochastic calculus approach	J Physiol Paris (2007) 101(1-3):78-98	abstract
Touboul and Faugeras 2008	Touboul, J. and Faugeras, O.	First hitting times of Double Integral Process to curved boundaries	Advances in Applied Probability (2008) 40(2): 501-528	fulltext
Uchizawa et al. 2006b	Uchizawa, K., Douglas, R. and Maass, W.	On the computational power of threshold circuits with sparse activity	Neural Computation (2006) 18(12): 2994-3008	abstract, fulltext
Voges and Perrinet 2009	Voges, N. and Perrinet, L.	Phase space analysis of networks based on biologically realistic parameters.	Journal of Physiology-Paris (2010) 104(1-2): 51-60 doi:10.1016/j.jphysparis.2009.11.004	abstract
Wang et al. 2006	Wang, 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 cortex	Nature Neuroscience (2006) 9(4):534-542	abstract
Wohrer et al. 2007	Wohrer, A., Kornprobst ,P. and Vieville, T.	Virtual Retina: a biological retina model and simulator, with contrast gain control	INRIA Research Report 6243	abstract, fulltext
Wolfart et al. 2005	Wolfart, J., Debay, D., Le Masson, G., Destexhe, A. and Bal, T.	Synaptic background activity controls spike transfer from thalamus to cortex	Nature Neuroscience (2005) 8:1760-1767	abstract, fulltext

Review

Ascoli et al. 2008	Ascoli, 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 cortex	Nature Reviews Neuroscience (2008) 9: 557-568	abstract
Brette et al. 2007b	Brette, 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 strategies	Journal of Computational Neuroscience (2007) 23(3):349-98	abstract, fulltext
Piwkowska et al. 2008	Piwkowska, 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 generation	J. Neurosci. Methods (2008) 169: 302-322	abstract
Thomson and Lamy 2008	Thomson, A.M. and Lamy, C.	Functional maps of neocortical local circuitry	Frontiers in Neuroscience (2008) 1: 19-42	fulltext

Book

Destexhe and Bal 2009	Destexhe, A. and Bal, T.	Dynamic-Clamp: From Principles to Applications	Editors of the book. Springer (2009) Series in Computational Neuroscience , Vol. 1, ISBN: 978-0-387-89278-8	abstract
Masson and Ilg 2009	Masson, G.S. and Ilg, U.J.	Dynamics of visual motion processing: Neuronal, Behavioral, and Computational Approaches	Editors of the book. Springer (2009) ISBN: 978-1-4419-0780-6	abstract

Book chapter

Brette 2009	Brette, 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 vivo	Dynamic Clamp. From Principles to Applications. A. Destexhe and T. Bal editors. Springer. (2009) P. 347-382	abstract
Destexhe and Rudolph-Lilith 2008	Destexhe, A. and Rudolph-Lilith, M.	Synaptic "noise": Experiments, computational consequences and methods to analyze experimental data	In: Stochastic Processes in Neuroscience, Edited by Lord, G. and Laing, C., Oxford University Press, Oxford UK (2009).	abstract
Frégnac et al. 2006	Frégnac, Y., Rudolph, M., Davison, A. and Destexhe, A.	Complexity and level hierarchy in Neural networks	In «Biological networks», Editor : F. Képès, In «Complex systems and interdisciplinary Science», World Scientific Series (2006) pp. 1-38
Frégnac et al. 2006b	Frégnac, 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 computation	In: "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. 2008	Fregnac, 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. 2009	Jancke, 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 2010	Lansner, A. and Lundqvist, M.	Modeling Coordination in the Neocortex at the Microcircuit and Global Network Level	In: 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. 2008	Lansner, A., Benjaminsson, S. and Johansson, C.	From ANN to biomimetic information processing	In "Biologically inspired signal processing for chemical sensing" (2008) Gutierrez A. and Marco S. (eds.), Studies in Computational Intelligence series, Springer.
Lansner et al. 2009	Lansner, A., Benjaminsson, S. and Johansson, C.	From ANN to biomimetic information processing	Biologically Inspired Signal Processing for Chemical Sensing. S. G. Marco, Agustín, Ed, Springer. (2009) 188: 37-50.	abstract
Legenstein and Maass 2006b	Legenstein, 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 2007b	Legenstein, 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. 2008	Lévi, T., Lewis, N., Saïghi, S., Tomas, J., Bornat, Y. and Renaud, S.	Neuromimetic Integrated Circuits	In: VLSI Circuits for Biomedical Applications, Edited by Iniewski, K., Artech House, Boston, pp. 241-264, 2008
Masson et al. 2009	Masson, G.S., Montagnini, A. and Ilg, U.J.	When the brain meets the eye: Tracking object motion	In: Dynamics of visual motion processing. Eds: Ilg, U.J. and Masson, G.S. Springer Verlag (2009)
Mehta et al. 2010	Mehta, 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 Circuits	Dynamic 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
Perrinet 2007	Perrinet, L.U.	Dynamical Neural Networks: modeling low-level vision at short latencies, pages 163-225	In: 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 review	Piwkowska, Z., Destexhe, A. and Bal, T.	Associating living cells and computational models: from basics to present applications of the dynamic-clamp	Dynamic Clamp. From Principles to Applications. A. Destexhe and T. Bal editors. Springer. New York. (2009) P. 1-30	abstract
Piwkowska et al. 2009	Piwkowska, 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 Applications	A. Destexhe and T. Bal editors. Springer. New York. (2009) P. 115-140	abstract
Plesser et al. 2007	Plesser, 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 computers	In: Proc 13th International Euro-Par Conference, LCNS (2007) Vol. 4641 p. 672-681. Springer
Sadoc et al. 2009	Sadoc, 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 NEURON	Dynamic-clamp: From Principles to Applications, Edited by Destexhe A and Bal T, Springer, New York,(2009). P. 287-320	abstract
Shulz and Frégnac 2010	Shulz, D.E. and Frégnac, Y.	From sensation to perception	GF Koob, M Le Moal and RF Thompson (Eds). Encyclopedia of Behavioural Neuroscience. Elsevier. (2010) Vol 1: 550-558.

Conference organisation

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

Conference contribution: poster

	Badel, L.	An approach to measure the dynamic current-voltage response properties of neurons during large membrane potential fluctuations	FENS - 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 fluctuations	EPFL-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 voltages	CNS (Edinburgh, July 18-20 2006) (poster)
	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 compensation	A new method of active electrode compensation.
	Clopath, C.	Predicting Neuronal Activity with Simple Models of the Threshold Type	EPFL 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 Compartments	CNS 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 perception	Fifteenth Annual Computational Neuroscience Meeting CNS*2006
	Djurfeldt, M.	Challenges and Opportunities in Nanoarchitectures	Workshop, 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-Modulator	Dresdner Arbeitstagung Schaltungs- und Systementwurf 2006, p. 35-40
	Escobar, M.-J., Kornprobst, P. and Vieville, T.	Spike to Spike MT Model and Applications	Poster 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 patterns	30th 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 model	NeuroComp06
	Faugeras, O., Papadopoulo, T. and Touboul, J.	The statistics of spikes trains for some simple types of neuron models	Neurocomp06	fulltext
	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 scenes	In 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 Column	Joint Forum of European Neuroscience (FENS) 2006, Vienna, July 2006
	Häusler, S.	Computational consequences of lamina-specific structure in cortical microcircuit models	Salt Lake City, USA, Cosyne 2006, Conf. & Workshop, March 2006
	Häusler, S.	Computational consequences of lamina-specific structure in cortical microcircuit models	FENS, Wien, Forum of European Neuroscience, July 2006
	Henker, S., Schlüßler, J.-U. and Schüffny, R.	White Balancing with Multi-Channel CMOS Sensors	Proceedings 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 Column	Joint 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-imaging	European 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-networks	NeuroComp06
	Kornprobst, P., Vieville, T., Chemla, S. and Rochel, O.	Modeling cortical maps with feed-backs	European 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 layers	16th Annual Meeting Computational Neuroscience Society CNS2007
	Legenstein, R.	A criterion for the convergence of learning with spike timing dependent plasticity	Vancouver, CA, Conf. Neural Information Processing Systems, NIPS*05, December 2005
	Legenstein, R.	Analysis of Cortical Microcircuits on the Systems Level	Salt Lake City, USA, Cosyne 2006, March 2006
	Legenstein, R.	Spiking Neural Networks	Porto, Portugal, NN 2006; Neural Networks in Classification Regression and Data
	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 framework	6th 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-clamp	FENS 2006, Vienna (poster)
	Rudolph, M., Piwkowska, Z., Brette, R., Destexhe, A. and Bal, T.	Precise dynamic-clamp injection of stochastic conductances using active electrode compensation	SFN 2005, Washington (poster)
	Tlapale, E., Masson, G.S., Vieville, T. and Kornprobst, P.	Model of motion field diffusion controled by form cues	Perception ECVP Abstracts (2007) 36 :215b
	Touboul, J. and Brette, R.	Dynamics of noisy inhibitory networks of integrate-and-re neurons: a stochastic network theory approach	Neuromath06 (poster)
	Viéville, T. and Kornprobst, P.	Modeling Cortical Maps with Feed-Backs	Int. 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-networks	Int. Conf. on Cognitive and Neural Systems 2006
	Wohrer, A., Kornprobst, P. and Vieville, T.	A Biologically-Inspired Model for a Spiking Retina	2006, RR INRIA 5848
	Wohrer, A., Kornprobst, P. and Vieville, T.	Contrast gain control through a feedback in the retina	NeuroComp 06
	Wohrer, A., Kornprobst, P. and Vieville, T.	From Light to Spikes: a Large-Scale Retina Simulator	Int. 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 retinas	European Conference Visual Perception, 2006
Abitbol et al. 2010	Abitbol, 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. 2010b	Abitbol, 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 neurons	FENS Forum 2010: 074.1
Arduin et al. 2009	Arduin, P.J., Ego-Stengel, V., Shulz, D. and Frégnac, Y.	Graded control of a prosthesis by operant conditioning of single-units in rat motor cortex	Congrès FRM/IRME/ICM Interfaces Cerveau-Machine, Fondation pour la Recherche Médicale Paris VIIe, France. November 05 2009.
Bal et al. 2008	Bal, 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. 2009	Bal, 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
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Other

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Albert 2010	Albert, M.	Liquid Computing mit Neuromorpher Hardware	Bachelor thesis (in German language), University of Heidelberg, 2010	abstract, fulltext
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Brüderle 2009	Brüderle, D.	Neuroscientific Modeling with a Mixed-Signal VLSI Hardware System	Ph.D. thesis at the University of Heidelberg (2009)	fulltext
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Philipp 2008	Philipp, S.	Design and Implementation of a Multi-Class Network Architecture for Hardware Neural Networks	Ph.D. thesis at the Kirchhoff Institut für Physik (2008)	fulltext
Schnepel 2007	Schnepel, P.	Non-linear Integration In the Apical Dendrite of Neocortical Pyramidal Neurons	Master's Thesis (2007), Faculty Biology, Albert-Ludwigs-University Freiburg, Germany
Scholze 2007	Scholze, S.	Development, Verification and Implementation of a serial GB-Link within a 0.18um-CMOS-Technology	Diploma-Thesis (2007) at the Insitute of Fondations of Electrical and Electronic Engineering, Technische Universität Dresden, Germany
Touboul 2008b	Touboul, J.	Nonlinear and stochastic models in neuroscience	PhD thesis at Ecole Polytechnique de Paris (2008)
Touboul and Brette 2008b	Touboul, J and Brette, R.	Spiking dynamics of bidimensional integrate-and-fire neurons.	INRIA Research Report (2008) no 6531, September 2008	abstract