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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 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
Bannister and Thomson 2007	Bannister, A.P. and Thomson, A.M.	Dynamic properties of excitatory synaptic connections involving layer 4 pyramidal cells in adult rat and cat neocortex	Cereb Cortex (2007) 17(9):2190-203	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
Bedard and Destexhe 2009	Bedard, C. and Destexhe, A.	Macroscopic models of local field potentials the apparent 1/f noise in brain activity	Biophysical Journal (2009) 96: 2589-2603	abstract
Bedard and Destexhe, 2008	Bedard, C. and Destexhe, A.	A modified cable formalism for modeling neuronal membranes at high frequencies	Biophys. J. (2008) 94: 1133-1143	fulltext
Bedard et al. 2006	Bedard, 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. 2010	Bedard, C., Rodrigues, S., Roy, N., Contreras, D. and Destexhe, A.	Evidence for frequency-dependent extracellular impedance from the transfer function between extracellular and intracellular potentials	J. Computational Neurosci., in press. ArXiv preprint: http://arxiv.org/abs/0908.3268	fulltext
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
Bremaud et al. 2007	Bremaud, 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/DC1	PNAS (2007) 104(35):14134-14139	abstract, fulltext
Bremaud et al. 2008	Bremaud, 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	PNAS (2007) 104(35): 14134-14139	abstract, fulltext
Brette 2006	Brette, R.	Exact simulation of integrate-and-fire models with synaptic conductances	Neural Comput (2006) 18(8): 2004-2027
Brette 2007	Brette, R.	Exact simulation of integrate-and-fire models with exponential currents	Neural Comput (2007) 19(10): 2604-2609	abstract
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
Buonomano and Maass 2009	Buonomano,D., and Maass., W.	State-dependent computations: Spatiotemporal processing in cortical networks	Nature Reviews in Neuroscience (2009) 10:113-125	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 2008	Cessac, B.	A discrete time neural network model with spiking neurons. Rigorous results on the spontaneous dynamics	Journal of Mathematical Biology (2008) 56(3): 311-345
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 2010	Chemla, S. and Chavane, F.	A biophysical cortical column model to study the multi-component origin of the VSDI signal	NeuroImage (2010) doi:10.1016/j.neuroimage.2010.06.026	fulltext
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
Chen et al. 2010	Chen, H., Saïghi, S., Buhry, L., Renaud, S.	Exploiting Noise-Induced Stochastic Behaviour in a Hodgkin-Huxley VLSI Model	IEEE Trans. on Neural Networks (2010)
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 and Fregnac 2006	Davison, A. and Frégnac, Y.	Learning crossmodal spatial transformations through spike-timing-dependent plasticity	Journal of Neuroscience. (2006) 26 : 5604-5615
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 2009	Destexhe, 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. 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
Dimova and Denham 2009	Dimova, 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 2010	Dimova, 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. 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
Franke et al. 2009	Franke, 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 spikes	J Comput Neurosci (2009) doi:10.1007/s10827-009-0163-5	abstract
Frégnac 2009	Fregnac, 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. 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
Frégnac et al. 2010a	Frégnac, 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 vivo	Frontiers in Synaptic Neuroscience (2010) 2:12	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
Grimbert and Faugeras 2006	Grimbert, F. and Faugeras, O.	Bifurcation Analysis of Jansen's Neural Mass Model	Neural Computation (2007) 18: 3052-3068	abstract
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
Kaske and Maass 2006	Kaske, A. and Maass, W.	A model for the interaction of oscillations and pattern generation with real-time computing in generic neural microcircuit models	Neural Networks (2006) 19(5):600-609	fulltext
Klampfl and Maass 2009b	Klampfl, 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. 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. 2006	Kremkow, J., Kumar, A., Rotter, S. and Aertsen, A.	Emergence of population synchrony in a layered network of the cat visual cortex	Neurocomputing (2007) 70(10-12): 2069-2073	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
Kumar et al. 2008a	Kumar, A., Schrader, S., Aertsen, A. and Rotter, S.	The high-conductance state of cortical networks	Neural Computation (2008) 20: 1-43	abstract
Kumar et al. 2008b	Kumar, A., Rotter, S. and Aertsen, A.	Conditions for propagating synchronous spiking and asynchronous firing rates in a cortical network model	J Neurosci (2008) 28: 5268-5280
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
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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
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Thomson and Armstrong 2010	Thomson, A. M. and Armstrong, W. E.	Biocytin-labelling and its impact on late 20th century studies of cortical circuitry	Brain Research Reviews (in Press) doi:10.1016/j.brainresrev.2010.04.004
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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
Partzsch 2008	Partzsch, J.	Simulation pulsender neuronaler Netze mit neuromorpher Hardware	VDM Verlag Dr. Müller, ISBN 978-3-639-04323-5	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 2007	Destexhe, A.	Sleep Oscillations	In: 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 2008	Destexhe, 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 2007	Destexhe, A. and Huguenard, J.R.	Modeling voltage-dependent channels	In: Computational Modeling Methods for Neuroscientists, Edited by DeSchutter, E., MIT Press, Cambridge, USA (2009): 107-138	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
Destexhe and Sejnowski 2008	Destexhe, 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. 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 2009	Lansner, A. and Lundqvist, M.	Modelling Coordination in the Neocortex at the Microcircuit and Global Network Level	In: 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 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
Morrison and Diesmann 2008	Morrison, A. and Diesmann, M.	Maintaining causality in discrete time neuronal network simulations	In: Lectures in supercomputational neuroscience: dynamics in complex brain networks. P. Beim Graben, C. Zhou, M. Thiel, J. Kurths (eds.) (2008) Chap. IV.10.
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

	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 Enterprise	3-4 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 seriously	10th 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 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)
	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 GPUs	International 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 Networks	EPFL 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 compensation	A new method of active electrode compensation.
	Chariot, A., Keriven, R. and Brette, R.	Simulation rapide de modèles de neurones impulsionnels sur carte graphique	poster at NeuroComp06
	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
	Denham, M.	Computational theories for the cortical microcircuit	Talk at CNS 2006 Workshop on Cortical Microcircuits.
	Destexhe, A.	Advanced Biomathematics of Sleep and Wake EEG	University of Brussels, Belgium, 2006 (invited speaker)
	Destexhe, A.	Extracting timing information about network activity through conductance analysis	Being 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 vivo	10th International Conference on Cognitive and Neural Systems, Boston University, USA, 2006 (invited speaker)
	Destexhe, A.	Similar cortical states during wakefulness and slow-wave sleep oscillations	5th 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 networks	Molecular 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 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. and Grimbert, F.	Two-dimensional multilayer models of neurons	poster at Neurocomp06
	Faugeras, O., Papadopoulo, T. and Touboul, J.	The statistics of spikes trains for some simple types of neuron models	Neurocomp06	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 cortex	In "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 excitation	In 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 images	In 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 cortex	In "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 V1	In "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 illusions	In International Workshop on Computational Neuroscience (Cost-EC action, Org. G. Deco), Barcelona, 2005 (keynote speaker) (Invited conference)
	Frégnac, Y.	Neural coding issues in V1	In 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 neurons	In 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 representations	In "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 brain	In 1st French Computational Neuroscience Meeting (NeuroComp). Abbaye des Prémontés, Pont-à-Mousson, 2006. (Plenary Lecture)
	Frégnac, Y.	Reconstructing network dynamics and function from synaptic rumours	In "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 synapse	In "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 structure	In "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 Cortex	In "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 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
	Grimbert, F. and Faugeras, O.	Cortex as a continuum of cortical columns	poster at Neuromath06
	Grimbert, F., Chavane, F. and Faugeras, O.	From neural field to VSD optical imaging	Annual Meeting of the Computational Neuroscience Meeting (CNS?07)
	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
	Maass, W.	A model for computation in cortical microcircuits	USA, 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 computation	Workshop of the MPI for Brain Research, Schloss Ringberg, Tegernsee, Germany, July 2006
	Maass, W.	Models for cortical computation	Leipzig, Germany, Workshop on Information Theory and Neurobiology, July 2006
	Maass, W.	Neural circuits as analog computers	EPFL, Lausanne, CH, Latsis Symposium, March 2006
	Maass, W.	Online computing in dynamical systems as a possible paradigm for auditory processing	Sorbonne, 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 circuits	EPFL-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 slices	Joint 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 framework	6th FENS Meeting Abstract A216.16
	Pfister, J.P.	Beyond Pair-Based STDP: a Phenomenological Rule for Spike Triplet and Frequency effects	Workshop 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-clamp	FENS 2006, Vienna (poster)
	Richardson, M.	The trapping potential of neurons under random current injection	Workshop "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 compensation	SFN 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 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
	Wennekers, T.	Operational cell assemblies in large-scale cortex models	CNS 2006 Workshop on Cortical Microcircuits (talk)
	Wennekers, T.	Spatio-temporal neural field approximation	CNS 2006 Workshop on Continuous Attractor Networks (talk)
	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
Ander et al. 2007	Ander, M. and Schüffny, R.	Design and Implementation of a high speed LVDS Transmitter and Receiver	Workshop des Arbeitskreises IC-Design im Silicon Saxony: Entwurf von integrierten Analog-/Mixed-Signal-/HF-Schaltungen, May 2007
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
Béhuret et al. 2010	Béhuret, 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. 2010b	Béhuret, 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. 2008	Belhadj, B., Tomas, J., Malot, O., N'kaoua, G., Bornat, Y. and Renaud, S.	FPGA-based Architecture for Real-time Synaptic Plasticity Computation	Proc. of the Int. Conf. on Electronics, Circuits and Systems, ICECS'08 (2008): 93-96	abstract, fulltext
Belhadj et al. 2009	Belhadj, 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 Simulations	In XXIV Conference on Design of Circuits and Integrated Systems, (DCIS 2009) Zaragoza, Spain, 2009.
Belhadj et al. 2009a	Belhadj, B., Tomas, J., Malot, O., Bornat, Y., Saïghi, S., Renaud, S.	Plasticity computation in a multiboard system simulator dedicated to SNN	Neurocomp Conference (2009) Bordeaux, France
Belhadj et al. 2009b	Belhadj, B., Tomas, J., Bornat, Y., Malot, O. and Renaud, S.	Token-passing communication protocol in hardware based real-time spiking neural networks	In Proceedings of SPIE, Bioengineered and Bioinspired Systems, Microtechnologies for the New Millenium, SPIE'09 Dresden, Germany, 2009.
Belhadj et al. 2010	Belhadj, B., Tomas, J., Malot, O., Bornat, Y., N'Kaoua, G., Renaud, S.	Guaranteeing spike arrival time in multiboard & multichip spiking neural networks	IEEE International Symposium on Circuits and Systems - ISCAS (2010), Paris, France
Bornat et al. 2007	Bornat, Y., Tomas, J., Lopez, C., Malot, O., Bilhadj, B. and Renaud, S.	Design of analog/digital simulator dedicated to real-time neurocomputing	XXII Conference on Design of Circuits and Integrated Systems, 21-23 November 2007, Sevilla, Spain
Boucsein and Nawrot 2008b	Boucsein, C. and Nawrot, M.P.	Reliability of signal transmission in neocortical networks	Abstr Computation in Cortical Circuits (2008), Ascona, Italy.
Boucsein et al. 2009b	Boucsein, 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. 2010a	Boucsein, C., Ammer, J., Aertsen, A. and Benda, J.	Input-resistance dependent switch in spiking precision of neocortical pyramidal cells	SFN Annual Meeting (San Diego) (2010)
Brémaud and Thomson 2009	Brémaud, A. and Thomson, A. M.	Complex short term dynamics in stochastic models of neocortical synaptic connections	Society for Neuroscience 2009: 822.19
Brette et al. 2007	Brette, R., Piwkowska, Z., Rudolph, M., Bal, T. and Destexhe, A.	A non-parametric electrode model for intracellular recording	Neurocomputing, Volume 70, Issue 10-12 (June 2007), Pages: 1597-1601	abstract
Brette et al. 2008a	Brette, R., Piwkowska, Z., Gomez-Gonzalez, J.F., Monier, C., Rudolph-Lilith, M., Fournier, J., Levy, M., Fregnac, Y., Bal, T. and Destexhe, A.	Active Electrode Compensation for high-resolution intracellular recordings in vitro and in vivo.	Neuron (2008) 59: 379-391	abstract
Brette et al. 2008b	Brette, R., Piwkowska, Z., Monier, C., Rudolph-Lilith, M., Fournier, J., Levy, M., Frégnac, Y., Bal, T. and Destexhe, A.	Active Electrode Compensation for high resolution intracellular recordings in vitro and in vivo.	"34th Annual Meeting of the Society for Neuroscience". Society for Neuroscience Abstracts. 34: 101.14. Washington, DC, USA. (2008)
Bruederle et al. 2007	Bruederle, D., Gruebl, A., Meier, K., Mueller, E. and Schemmel, J.	A Software Framework for Tuning the Dynamics of Neuromorphic Silicon Towards Biology	n Proc. of IWANN 2007, San Sebastián, Spain, June 2007, Springer LNCS 4507, pp. 479 - 486	abstract, fulltext
Brüderle et al. 2009c	Brüderle, D., Kremkow, J., Bauer, A., Perrinet, L.U., Aertsen, A., Masson, G.S., Meier, K. and Schemmel, J.	Matching Network Dynamics Generated by a Neuromorphic Hardware System and by a Software Simulator	Bernstein Conference on Computational Neurosciences (2009)
Bruederle et al. 2010	Brüderle, D., Bill, J., Kaplan, B., Kremkow, J., Meier, K., Müller, E. and Schemmel, J.	Simulator-like exploration of cortical network architectures with a mixed-signal VLSI system	Proceedings of 2010 IEEE International Symposium on Circuits and Systems (ISCAS) (2010): 2784-2787 doi:10.1109/ISCAS.2010.5537005	fulltext
Buesing and Maass 2007	Buesing, L. and Maass, W.	Simplified Rules and Theoretical Analysis for Information Bottleneck Optimization and PCA with Spiking Neurons	Proc. of NIPS 2007, Advances in Neural Information Processing Systems, volume 20. MIT Press, 2008	abstract
Buhry et al. 2008	Buhry, L., Saïghi, S., Giremus, A., Grivel, E. and Renaud, S.	Parameter estimation of the Hodgkin-Huxley model using metaheuristics : application to neuromimetic analog integrated circuits	Biomedical Circuits and Systems Conference, BIOCAS08, pp. 173-176, Baltimore, USA, November 18-21, 2008	abstract, fulltext
Buhry et al. 2008b	Buhry, L., Saïghi, S., Giremus, A., Grivel, E. and Renaud, S.	Estimation des paramètres du modèle d'Hodgkin-Huxley par des métaheuristiques"	Neurocomp08 (2008) pp. 27-31, Marseille, France, Oct 8-11, 2008
Buhry et al. 2009	Buhry, L., Saïghi, S., Salem, W.B. and Renaud, S.	Adjusting Neuron Models in Neuromimetic ICs using the Differential Evolution Algorithm	4th International IEEE EMBS Conference on Neural Engineering, Antalya, Turkey, 29 April-2 May 2009, pp 681-684
Buhry et al. 2009b	Buhry, L., Saïghi, S., Giremus, A., Grivel, E., Renaud, S.	New Variant of the Differential Evolution Algorithm: Application for Neuroscientist	European Signal Processing Conference - EUSIPCO (2009) Glasgow, UK
Buhry et al. 2009c	Buhry, L., Saïghi, S., Giremus, A., Grivel, E., Renaud, S.	Automated Tuning of Analog Neuromimetic Integrated Circuits	IEEE Biomedical Circuits and Systems Conference - BioCAS (2009), Beijing, China
Carelli et al. 2009	Carelli, P., Pananceau, M., Kopysova, I. and Fregnac, Y.	Mapping the horizontal synaptic association field with apparent motion in the cat visual cortex.	American Society for Neuroscience Abstract. 35: 558.22, Chicago, USA. 2009
Carelli et al. 2010	Carelli, P., Pananceau, M., Mercier, F., Monier, C. and Frégnac, Y.	Mapping collinear subthreshold facilitation using sparse apparent motion noise.	American Society for Neuroscience Abstracts, 36: San Diego. 2010
Cessac et al. 2008	Cessac, B., Rostro, H., Vasquez, J.C. and Viéville, T.	Statistics of spikes trains, synaptic plasticity and Gibbs distributions	accepted in NeuroComp 2008 (communication)
Cessac et al. 2008b	Cessac, B., Rostro, H., Vasquez, J.C. and Viéville, T.	To which extent is the "neural code" a metric?	accepted to NeuroComp 2008 (poster)
Cessac et al. 2008c	Cessac, B., Rostro, H., Vasquez, J.C. and Viéville, T.	Statistics of spikes trains, synaptic plasticity and Gibbs distributions	proceedings of the conference NeuroComp 2008 (Marseille).
Chavane et al. 2008b	Chavane, F., Reynaud, A. and Masson, G.S.	The role of cortico-cortical interactions during motion integration: a voltage-sensitive dye imaging study in V1 and V2 of the awake monkey	Journal of Vision (2008) 8(6):226, 226a. VSS, Naples FL
Chemla et al. 2008	Chemla, S., Vieville, T. and Chavane, F.	Biophysical cortical column model for optical signal analysis	Neurocomp'08 (2008)
Chemla et al. 2008b	Chemla, S., Vieville, T. and Chavane F.	Biophysical cortical column model for optical signal analysis	In Research in Encoding And Decoding of Neural Ensembles Conference (AREADNE) (2008)
Clopath et al. 2008b	Clopath, C., Longtin, A. and Gerstner, W.	An online Hebbian learning rule that performs Independent Component Analysis	NIPS, Vancouver, B.C., Canada, December 3-6, 2007. In: MIT Press, 2008, p. 312-328	fulltext
Colliaux et al. 2007	Colliaux, D., Monier, C., Huguet, N., Pananceau, M., Petitot, J. and Frégnac, Y.	A phenomenological model of ongoing dynamics in V1 cortex	In Conférence Ladislav TAUC (2007) Complexity in neural network dynamics, (Orgs Y. Frégnac et al.) Gif sur Yvette, France.
Daouzli et al. 2008	Daouzli, A., Saïghi, S., Buhry, L., Bornat, Y. and Renaud, S.	Weights Convergence and Spikes Correlation in an Adaptive Neural Network Implemented on VLSI	Proceedings of the International Conference on Bio-inspired Systems and Signal Processing (BIOSIGNALS), Funchal, Portugal (2008): 286-291	fulltext
Daouzli et al. 2009	Daouzli, A., Saïghi, S., Rudolph, M., Destexhe, A. and Renaud, S.	Convergence in an Adaptive Neural Network: The Influence of Noise Inputs Correlation	IWANN'2009, Vol. 1, pp. 140-148, Salamanca, Spain, 10-12 June 2009, Springer	abstract
Davison 2009	Davison, A.P., Yger, P., Kremkow, J., Perrinet, L. and Muller, E.	PyNN: Towards a universal neural simulator API in Python.	16th Annual Computational Neuroscience Meeting (CNS), Toronto, 2007.
Davison 2010	Davison, A.P.	Challenges and solutions in replicability and provenance tracking for simulation projects.	CNS*2010, San Antonio, Texas, USA, July 2010.
Davison 2010b	Davison, A.P.	Automated tracking of computational experiments using Sumatra.	EuroSciPy 2010, Paris, France, July 2010.
Davison 2010c	Davison, A.P.	Integration: a collaborative software tool-chain for neuromorphic computation.	Frontiers in Neuromorphic Computation, Paris, France, June 2010
Davison A.P. (2006)	Davison A.P.	Simulator-independent network modelling with Python and XML.	Modeling the Brain's Labyrinth, Fodele, Crete, Greece, September 2006.
Davison A.P. 2006b	Davison A.P.	NModLib: a database of components for neuroscience models.	World Association of Modeling - Biologically Accurate Modeling Meeting, San Antonio, Texas, March 2006.
Davison et al. 2006	Davison, A.P., Yger, P., Chan, J.S., Newell, F.N. and Frégnac, Y	A combined psychophysical-modelling study of the mechanisms of tactile picture perception.	CNS*2006, Edinburgh, U.K, July 2006.
Davison et al. 2007	Davison, A.P., Yger, P., Kremkow, J., Perrinet, L. and Muller, E.	PyNN: Towards a universal neural simulator API in Python.	CNS*2007, Toronto, July 2007.
Davison et al. 2008	Davison, A.P., Brüderle, D., Kremkow, J., Muller, E., Pecevski, D., Perrinet, L. and Yger, P.	PyNN: a common interface for neuronal network simulators.	Neuroinformatics 2008, Stockholm, Sweden, September 2008.
Davison et al. 2010a	Davison, A.P., Brizzi, T., Manette, O., Monier, C. and Frégnac, Y.	Helmholtz: a modular tool for neuroscience databases.	Front. Neurosci. Conference Abstract Neuroinformatics (2010) Neuroinformatics 2010, Kobe, Japan, August 2010. doi:10.3389/conf.fnins.2010.13
Destexhe and Bedard 2007	Destexhe, A. and Bedard, C.	A non-ideal cable formalism which accounts for fractional power-law frequency scaling of membrane potential activity of cortical neurons.	Society for Neuroscience Abstracts (2007) 33: 251.14
Dimova and Denham 2008	Dimova, K., and Denham, M.	A neurally plausible model of the dynamics of motion integration in smooth eye pursuit based on recursive Bayesian estimation [Abstract]	Journal of Vision, 8(17):50, 50a (Optical Society of America Fall Vision Meeting, October 24 - 26, 2008,Rochester, New York.	abstract
Ehrlich et al. 2007	Ehrlich, M., Mayr, C., Eisenreich, H., Henker, S., Srowig, A., Gruebl, A., Schemmel, J. and Schüffny, R.	Wafer-scale VLSI implementations of pulse coupled neural networks	International Conference on Sensors, Circuits and Instrumentation Systems (SSD-07), Hammamet-Tunisia 2007, p. 409 ff., electronic publication.	fulltext
Ehrlich et al. 2008	Ehrlich, M. and Wendt, K. and Schüffny, R.	Parallel mapping algorithms for a novel mapping & configuration software for the FACETS project	Proceedings of the WSEAS CEA'08, Acapulco 2008, pp.152-157	fulltext
Ehrlich et al. 2010	Ehrlich, M. and Wendt, K. and Zühl, L. and Schüffny, R. and Brüderle, D. and Müller, E. and Vogginger, B.	A software framework for mapping neural networks to a wafer-scale neuromorphic hardware system	Proceedings of ANNIIP 2010, 2010, pp.43-52	fulltext
Eisenreich et al. 2007	Eisenreich, H., Mayr, C., Henker, S., Wickert, M., and Schüffny, R.	A Programmable Clock Generator HDL Softcore	Proceedings of IEEE Midwestern Symposium on Circuits and Systems (MWSCAS07), p. 1-4	fulltext
El Boustani and Destexhe 2007	El Boustani, S. and Destexhe, A.	Mesoscopic model of balanced neuron networks using a Master equation formalism	Sixteenth Annual Computational Neuroscience Meeting: CNS*2007 Toronto, Canada. 7-12 July 2007	abstract
El Boustani et al. 2009b	El Boustani, S., Yger, P., Frégnac, Y. and Destexhe, A.	A mean-field based formalism to investigate structure-function correlations in sensory neocortex using VSD imaging.	American Society for Neuroscience Abstract. 35: 352.19, Chicago, USA. 2009
Escobar and Kornprobst 2008	Escobar, M.-J. and Kornprobst, P.	Action Recognition with a Bio--Inspired Feedforward Motion Processing Model: The Richness of Center-Surround Interactions.	Proceedings of the European Conference on Computer Vision (ECCV08) (2008): 186-199 doi:10.1007/978-3-540-88693-8_14	abstract
Escobar et al. 2008	Escobar, M.-J., Masson, G.S. and Kornprobst, P.	A Simple Mechanism to Reproduce the Neural Solution of the Aperture Problem in Monkey Area MT	Proceedings of Deuxième conférence française de Neurosciences Computationnelles (Neurocomp08).	abstract
Farkhooi et al. 2008	Farkhooi, F., Boucsein, C. and Nawrot, M.P.	Negative serial dependence between spiking intervals improve rate estimation in postsynaptic cortical ensemble	Proc AREADNE 2008, Santorini, Greece, edited by J. S. Pezaris , N. G. Hatsopoulos, pp. 56.
Faugeras et al. 2009b	Faugeras, O., Touboul, J. and Cessac B.	A constructive mean-field analysis of multi population neural networks with random synaptic weights	COSYNE 09 (2009)
Fieres et al. 2006	Fieres, J., Schemmel, J. and Meier, K.	Training convolutional networks of threshold neurons suited for low-power hardware implementation	Proceedings of the 2006 International Joint Conference on Neural Networks (IJCNN 2006), 21--28, IEEE Press (2006)	abstract, fulltext
Fieres et al. 2006b	Fieres, J., Meier, K. and Schemmel, J.	A convolutional neural network tolerant of synaptic faults for low-power analog hardware	Proceedings of 2nd IAPR International Workshop on ArtificialNeural Networks in Pattern Recognition (ANNPR 2006), Lecture Notes in Artificial Intelligence 4087, 122-132, Springer (2006)	abstract, fulltext
Fournier et al. 2009	Fournier, J., Monier,C., Levy, M., Pananceau, M. and Y. Frégnac	Control of the "Effective" receptive field organization by the spatio-temporal statistics of the visual input.	American Society for Neuroscience Abstracts, 35: 353.19. Chicago, USA. 2009
Franke et al. 2008	Franke, F., Natora, M., Boucsein, C., Munk, M.H.J. and Obermayer, K.	Spike sorting and detection with optimal multichannel filters	38th Ann Meeting Soc for Neurosci, Washington DC. (2008)
Frégnac 2007a	Frégnac, Y.	Complexity in neural network dynamics: general issues	Conférence Ladislav TAUC: Complexity in neural network dynamics, (Org. Y. Frégnac et al), Gif sur Yvette, France. (2007) (Invited conference).
Frégnac 2007b	Frégnac, Y.	out network dynamics in V1 by listening to synaptic echoes in a single neuron.	In « When DAISY meets Facets ». Joint Meeting between Facets and Daisy. Institute of Neuroinformatics, Zürich, Allemagne. (Invited conference).
Frégnac 2008	Frégnac, Y.	Multiscale approaches in systems and computational neuroscience.	DIM Bionanophotonique « Micro et nanotechnologies pour les Neurosciences » (Org. Alain Berthoz), Paris. 2008 (Invited conference).
Frégnac 2008b	Frégnac, Y.	Interdisciplinary approaches in neural based computing.	In EPSRC-COLAMN Annual meeting, (Org. T. Wenneker), Plymouth UK. (Invited conference). 2008
Frégnac 2008c	Frégnac, Y.	Biophysical principles that support information processing in neocortical networks.	CNE Workshop 2008, Cognitive Neuromorphic Engineering Workshop, (Org. R. Douglas), Sardinia, Italie. 2008 (Invited conference).
Frégnac 2008d	Frégnac, Y.	Multiscaling approaches in functional electrophysiology: from conductance to network dynamics.	Complexity-based computing: from biology to hardware?. International Thinktank Facets Meeting (Org. Y. Frégnac and W. Maass), Château de Gif-sur-Yvette. (Invited conference).2008
Frégnac 2008e	Frégnac, Y	Extraction of computational principles from the biological study of sensory cortical dynamics. Computational Vision Workshop.	NeuroComp 2008, Marseille, France. (Invited conference).
Frégnac 2008f	Frégnac, Y.	Revisiting STDP Plasticity.	Facets Plasticity Meeting (Orgs. W. Gerstner and W. Maass). Brain and Mind Institute, EPFL, Lausanne. 2008
Frégnac 2009a	Frégnac, Y.	Complexity based computing : From Biology to Brain Models.	Facets II Thinktank Meeting (Orgs. K. Meier and Y. Frégnac). Leysin. (Invited conference). 2009
Frégnac 2009b	Frégnac, Y.	Multi-scale analysis and complexity in sensory cortical networks.	CNRS - Max Planck Gesellshaft Symposium. (Org. M. Giurfa). (Invited conference). 2009
Frégnac 2009c	Frégnac, Y.	Bruit, Information an Cortical Dynamics.	In ?Signal and Neurons? Conférence-Débat. (Orgs. H. Korn and O. Macchi). French Academy of Sciences. (Invited Plenary conference).2009
Frégnac 2009d	Frégnac, Y.	'Noise' and information propagation in sensory cognitive networks.	5th Cajal Winter School. (Org. Franceso Artigas) Benasque, Spain (Invited Keynote conference). 2009
Frégnac 2009e	Frégnac, Y.	Stimulus-driven Coordination of Cortical Cell Assemblies and Propagation of Gestalt Belief in V1.	In « Dynamic Coordination in the Brain: From Neurons to Mind », Thinktank Dahlem Konferenzen. Ernst Strüngmann Forum (Orgs. Ch. Von der Malsburg, B. Philipps and W. Singer). Aug 16-21, 2009, Frankfurt/M, Germany. 2009 (Invited position paper)
Frégnac 2009f	Frégnac, Y.	Concepts in dynamics of cortical sensory networks : signal, noise or chaos ?	Brain Machine Interface (Org. F. Clarac). Paris, 5 Novembre 2009. (Invited conference).
Frégnac 2009g	Frégnac, Y	Reading out the neural code by listening to the synaptic echoes of the visual world in a single cell.	Rare Diseases II: Hearing and Sight Loss. ESF-UB Conference in Biomedicine. (orgs. C. Petit and J-A. Sahel). Sant Feliu de Guixols (Costa Brava), Spain. 22 - 27 November 2009. (Invited Keynote conference).
Frégnac 2009h	Frégnac, Y	Integrative and Computational Neurosciences: interdisciplinarity of Sciences confronted to Brain Complexity.	In 'Challenges for the XXIst century'. French Academy of Sciences (Invited Plenary conference).	fulltext
Frégnac 2009i	Frégnac, Y.	Multi-scale analysis and complexity in visual cortex.	In Symposium ?Organisation and Plasticity of the visual cortex " Orgs. C. Levelt and T. Pizzorusso . Scuola Normale Superiore in Pisa 18-19th May 2009. Italy. (Invited conference).
Frégnac 2010	Frégnac, Y.	polymorphic view of visual cortical dynamics: from "crystal" to "smoke".	In « Frontiers in Neuromorphic Computation: a Multi-FACETS Enterprise », (Org. Y. Frégnac, K. Meier and K. Grant), Collège de France, Paris. Invited. (Invited conference).
Frégnac 2010a	Frégnac, Y	A polymorphic view of visual cortical dynamics: from "crystal" to "smoke".	The Denise Fessard Lecture. Société Brésilienne de Neuroscience, Caxambu, Brazil, 8-11 September 2010. (invited Plenary Conference). 2010
Frégnac 2010b	Frégnac, Y.	Functional polymorphy of visual cortical dynamics: from "crystal" to "smoke".	Symposium in the honour of Olivier Faugeras. June 8th, 2010INRIA Sophia Antipolis - Méditerranée. (Invited conference).
Frégnac 2010c	Frégnac, Y	Neuromorphic computation for Vision.	Seven Keys to the Digital Future. (Org. Gérard Berry). Invited by the Royal Society of Edinburgh and the French Embassy in London, September 2010, Edinburgh, UK. (Invited conference).
Frégnac 2010d	Frégnac, Y.	Diversity in neuromorphic computation and compositionality in cortical dynamics.	Chaire d'Informatique et sciences numériques (Org. Gérard Berry), Collège de France, Janvier 2010, Paris. (Invited conference).	fulltext
Frégnac 2010e	Frégnac, Y.	Series of talks and Chairs. Problem of the day (co-chair with Giacomo Indiveri and Rodney Douglas): Neural computation, architectures, and function.	Problem of the day (co-chair with Thomas Wenneker and Jean-Jacques Slotine) : Event-based processing in neural systems. CapoCaccia Cognitive Neuromorphic Engineering Workshop, Capo-Caccia, Sardinia, Italy. (Invited conferences).	abstract
Frégnac 2010f	Frégnac, Y.	in Panel Discussion 2: Complex systems and multiscale analysis: Theorical reconstruction and modelling ? Systèmes complexes et analyse multiéchelle: Reconstruction théorique et modélisation	(Chaired by Varenne, F.). 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.
Frégnac, 2007	Frégnac,. Y	Inhibition and dynamic non-linearities in sensory processing.	FACETS Interneuron meeting, (Org. A. Thomson, A. Destexhe and A. Lansner), Château de Gif sur Yvette, September 2007. (Invited conference).
Frégnac, Y. (2007)	Frégnac, Y	The "dynamic association field" of visual cortex neurons: a fit between natural perception and eye-movements?	ANA Symposium ?Mechanisms and Functions of Visual Signals from Beyond the Classical Receptive Field in Primary Visual Cortex?. American Society for Neuroscience Abstract. 33: 850.7. (Invited Conference). Selected for the Neuroscience PressBook.
Fuchs et al. 2010	Fuchs, C., Abitbol, K., Stephenson, F.A., Thomson, A.M. and Jovanovic, J.N.	Dissecting the molecular and functional requirements for the assembly of GABAergic synapses in vitro	FENS Forum 2010:161.7
Galtier and Faugeras 2008	Galtier, M. and Faugeras, O.	Visual edge detection in neural field models	Proceedings of Deuxième conférence française de Neurosciences Computationnelles (Neurocomp08)
Garbers et al. 2008	Garbers, C., Kilias, A., Aertsen, A., Egert, U. and Meier, R.	FIND - Finding Information in Neuronal Data: An open source framework for the analysis of neuronal activity data II	Proc 4th Bernstein Symp Comput Neurosci, 8-10 October 2008, Munich, Germany
Johansson and Lansner 2006	Johansson, C. and Lansner, A.	A hierarchical brain-inspired computing system	NOLTA 2006, Bologna, Italy.
Joshi 2006	Joshi, P.	Modeling working memory and decision making using generic neural microcircuits	In S. Kollias, A. Stafylopatis, W. Duch, and E. Oja, editors, Artificial Neural Networks - ICANN 2006, volume 4131 of Lecture Notes in Computer Science, pages 515-524. Springer, 2006.
Kaplan et al. 2009	Kaplan, B., Bruederle, D., Schemmel, J. and Meier, K.	High-Conductance States on a Neuromorphic Hardware System	Proceedings of the 2009 International Joint Conference on Neural Networks, Atlanta, USA (2009): 2593-2599	abstract, fulltext
Karube and Kisvarday 2006	Karube, F. and Kisvárday, Z.F.	Bouton distribution of deep-layer spiny neurons on the functional maps in cat visual cortex	FENS Abstr. (2006) vol.3, A179.14	abstract
Karube and Kisvarday 2007	Karube, F. and Kisváday, Z.	Cortical topography of single layer IV spiny neurons correlate with the representation of visual features in area 18 of the cat.	Clinical Neuroscience (2007/Aug) 60:31P.
Karube and Kisvarday 2009	Karube, F. and Kisvarday, F.	Axonal distribution and functional topography of layer 6 pyramidal cells in the primary visual cortex of the cat (Area 18)	Frontiers in Systems Neuroscience. Conference Abstract: 12th Meeting of the Hungarian Neuroscience Society (2009). doi: 10.3389/conf.neuro.01.2009.04.201	fulltext
Kilias et al. 2009	Kilias, A., Garbers, C., Aertsen, A. and Egert, U.	Finding Information in Neuronal Data: An open source framework for the analysis of neuronal activity data	G-Node Symposium on Neuroinformatics at CNS09, 22 July 2009, Berlin, Germany
Klampfl and Maass 2009	Klampfl, S. and Maass, W.	Replacing supervised classification learning by Slow Feature Analysis in spiking neural networks	Proc. of NIPS 2009, Advances in Neural Information Processing Systems (2010) 22: 988-996. MIT Press, 2010	abstract
Klampfl et al. 2007	Klampfl, S., Legenstein, R.A. and Maass, W.	Information bottleneck optimization and independent component extraction with spiking neurons	Proc. of NIPS 2006, Advances in Neural Information Processing Systems, volume 19. MIT Press, 2007	abstract, fulltext
Klampfl et al. 2009	Klampfl, S., David, S. V., Yin, P., Shamma, S. A. and Maass, W	Integration of stimulus history in information conveyed by neurons in primary auditory cortex in response to tone sequences	39th Annual Conference of the Society for Neuroscience, 2009
Kremkow et al 2009	Kremkow, J., Perrinet, L.U., Monier, C., Frégnac, Y., Masson, G.S. and Aertsen, A.	Control of the temporal interplay between excitation and inhibition by the statisitics of visual input.	Annual Meeting Computational Neuroscience Society (CNS?O9). 18-23 Juillet 2009, Berlin, Germany. 2009
Kremkow et al. (2008)	Kremkow, J., Brizzi, T., Brüderle, D., Davison, A., Muller, E., Perrinet, L., Schmucker, M. and Yger, P.	NeuroTools: analysis, visualization and management of real and simulated neuroscience data.	Live demo at the INCF booth at Society for Neuroscience 38th annual meeting, Washington, USA 2008
Kremkow et al. 2008	Kremkow, J.J., Perrinet, L., Baudot, P., Levy, M., Marre, O., Monier, C., Frégnac, Y., Masson, G.S. and Aertsen, A.	Control of the temporal interplay between excitation and inhibition by the statistics of visual input: a V1 network modelling study	38th Ann Meeting Soc for Neurosci, Washington DC, USA.(2008)
Kremkow et al. 2008b	Kremkow, J., Perrinet, L., Aertsen, A. and Masson, G.S.	Functional consequences of correlated excitation and inhibition induced by feed-forward inhibition	Oral presentation at Neurocomp 2008
Kremkow et al. 2009a	Kremkow, J., Perrinet, L., Monier, C., Frégnac, Y., Masson, G.S. and Aertsen, A.	Control of the temporal interplay between excitation and inhibition by the statistics of visual input	Oral presentation at Eighteenth Annual Computational Neuroscience Meeting CNS*2009
Kremkow et al. 2009b	Kremkow, J., Perrinet, L., Masson, G. S. and Aertsen, A.	Functional consequences of correlated excitation and inhibition on single neuron integration and signal propagation through synfire chains	In Proceedings of the 32th Göttingen Neurobiology Conference
Kremkow et al. 2009d	Kremkow, J., Laurent, L.U., Reynaud, A., Aertsen, A., Masson, G.S. and Chavane, F.	Dynamics of cortico-cortical interactions during motion integration in early visual cortex: a spiking neural network model of an optical imaging study	Annual Meeting Computational Neuroscience Society (2009)
Legenstein et al. 2008b	Legenstein, R., Pekevski, D. and Maass, W.	Theoretical analysis of learning with reward-modulated spike-timing-dependent plasticity	Proc. of NIPS 2007, Advances in Neural Information Processing Systems, volume 20. MIT Press, 2008	abstract
Legenstein et al. 2009	Legenstein, R., Maass, W., Chase, S.M. and Schwartz, A.B.	Functional network reorganization in motor cortex can be explained by reward-modulated Hebbian learning	Proc. of NIPS 2009: Advances in Neural Information Processing Systems (2009) 22: 1105-1113	abstract
Levi et al. 2006	Levi, T., Lewis, N., Tomas, J. and Fouillat, P.	Scaling Rules for MOS Analog Design Reuse	Mixed Design of Integrated Circuits and Systems MIXDES 2006, Gdynia, Poland, June 22-24 2006, pp 378-382.
Levi et al. 2006a	Levi, T., Lewis, N., Tomas, J. and Fouillat, P.	IP-based design for analogue ASICs: A case study	IP-based SoC Design Conference, IP-SoC 2006, Grenoble (France), 2006
Levi et al. 2006b	Levi, T., Lewis, N., Tomas, J. and Fouillat, P.	Scaling Rules for MOS Analog Design Reuse	Mixed Design of Integrated Circuits and Systems MIXDES 2006, Gdynia (Poland), 2006
Levi et al. 2007	Levi, T., Lewis, N., Bornat, Y., Destexhe, A. and Tomas, J.	An IP-based library for the design of analog Hodgkin-Huxley neurons	Systems, Signal and Devices Conference SSD 2007, Hammamet, Tunisia, March 19-22 2007	fulltext
Levi et al. 2007c	Lévi, T., Tomas, J., Lewis, N. and Fouillat, P.	IP-based design reuse for analogue systems: a case study	Proceedings of SPIE VLSI Circuits and Systems III, Maspalomas, Spain (2007)	fulltext
Lévi et al. 2007d	Lévi, T., Lewis, N., Tomas, J. and Fouillat, P.	IP-Based Library for Analog Design Reuse	GDR SoC-SIP, Paris, France (2007)	abstract, fulltext
Lévi et al. 2008a	Lévi, T., Lewis, N., Tomas, J. and Fouillat, P.	IP-based methodology for analog design flow: appplication on neuromorphic engineering	Proceedings of the IEEE NEWCAS-TAISA Conference, Canada (2008)	abstract, fulltext
Levy et al. 2009	Levy, M., Truchard, A., Sadoc, G., Ohzawa, I., Fregnac, Y. and Freeman, R.	Dynamics of nonlinear suppression in Cat V1 Simple cells.	American Society for Neuroscience Abstracts 35: 353.10. Chicago, USA. 2009
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Lewis and Renaud 2007	Lewis, N. and Renaud, S.	Spiking neural networks 'in silico': from single neurons to large scale networks	SSD'07: Fourth Conference on Systems, Signals and Devices, Hammamet (Tunisia), 2007	fulltext
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Liebe et al. 2009	Liebe, S., Hoerzer, G., Logothetis, N.K., Maass, W. and Rainer, G.	Long range coupling between V4 and PF in theta band during visual short-term memory	39th Annual Conference of the Society for Neuroscience, 2009
Maass 2007	Maass, W.	Liquid computing	In Proceedings of the Conference CiE'07: COMPUTABILITY IN EUROPE 2007, Siena (Italy), Lecture Notes in Computer Science. Springer (Berlin), 2007. invited paper, in press.	fulltext
Maass and Markram 2006	Maass, W. and Markram, H.	Theory of the computational function of microcircuit dynamics	S. Grillner and A. M. Graybiel, editors, The Interface between Neurons and Global Brain Function, Dahlem Workshop Report 93, pages 371-390. MIT Press, 2006	fulltext
Marre et al. 2007	Marre, 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. 2008	Marre, 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 2008	Mayr, C. and Partzsch, J. and Schüffny, R.	BCM and Membrane Potential: Alternative Ways to Timing Dependent Plasticity	15th 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. 2005	Mayr, C. and Schüffny, R.	Image Pulse Coding Scheme applied to Feature Extraction	Proceedings Image and Vision Computing New Zealand 2005, University of Otago, p. 49-54	fulltext
Mayr et al. 2006	Mayr, C., Eisenreich, H., Schreiter, J. and Schüffny, R.	Pulse Capture and Distribution for Neural Pulse-based Computations	Dresdner Arbeitstagung Schaltungs- und Systementwurf 2006, p. 85-90	fulltext
Mayr et al. 2006b	Mayr, C., Eisenreich, H., Henker, S. and Schüffny, R.	Pulsed multi-layered Image filtering: a VLSI Implementation	Proceedings of World Academy of Science, Engineering and Technology, Vol. 15 Oct. 2006	fulltext
Mayr et al. 2007	Mayr, C. and Ehrlich, M. and Henker, S. and Wendt, K. and Schüffny, R.	Mapping Complex, Large Scale Spiking Networks on Neural VLSI	Int. Journal of Applied Science, Engineering, and Technology (2007) 4(1): 37-42	fulltext
Mayr et al. 2007c	Mayr, C. and Schüffny, R.	Neighborhood Rank Order Coding for Robust Texture Analysis and Feature Extraction	7th International Conference on Hybrid Intelligent Systems (HIS 2007), Sept. 17-19 2007, Kaiserslautern, Germany
Mayr et al. 2008	Mayr, C. and Partzsch, J. and Schüffny, R.	Transient Responses of Activity-Dependent Synapses to Modulated Pulse Trains	Fifth International Symposium on Neural Networks (ISNN 2008), Sep. 2008	fulltext
Mayr et al. 2010	Mayr, C. and Partzsch, J. and Schüffny, R.	A Critique of BCM Behaviour Verification for STDP-Type Plasticity Models	18th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning ESANN 2010, pp. 369-374.
Mayr et al. 2010c	Mayr, C., Noack, M., Partzsch, J. and Schüffny, R.	Replicating Experimental Spike and Rate Based Neural Learning in CMOS	IEEE International Symposium on Circuits and Systems ISCAS 2010, pp. 105-108
Millner et al. 2010	Millner, S., Grübl, A., Meier, K., Schemmel, J. and Schwartz, M.-O.	A VLSI Implementation of the Adaptive Exponential Integrate-and-Fire Neuron Model	Advances in Neural Information Processing Systems (NIPS) (2010), accepted	abstract
Nadim et al. 2008	Nadim, F., Brezina, V., Destexhe, A. and Linster, C.	State dependence of network output: modeling and experiments	The Journal of Neuroscience (2008) 28(46):11806-11813 doi:10.1523/JNEUROSCI.3796-08.2008	abstract
Nessler et al. 2009	Nessler, B., Pfeiffer, M. and Maass, W.	STDP enables spiking neurons to detect hidden causes of their inputs	NIPS 2009	abstract
Noack et al. 2010	Noack, M., Partzsch, J., Mayr, C., Henker, S. and Schüffny, R.	Biology-Derived Synaptic Dynamics and Optimized System Architecture for Neuromorphic Hardware	IEEE International Conference on Mixed Design of Integrated Circuits and Systems MIXDES 2010, pp. 219-224
Partzsch and Schüffny 2009	Partzsch, J. and Schüffny, R.	On the routing complexity of neural network models - Rent's Rule revisited	ESANN (2009): 595-600	abstract
Pavan et al. 2007	Pavan, 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
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Perrinet 2008	Perrinet, L.	What adaptive code for efficient spiking representations? A model for the formation of receptive fields of simple cells	Proceedings of COSYNE (2008)	fulltext
Perrinet and Masson 2008	Perrinet, L. and Masson, G.S.	Decoding the population dynamics underlying ocular following response using a probabilistic framework	Proceedings of AREADNE (2008)	fulltext
Perrinet and Masson 2008b	Perrinet, L. and Masson, G.S.	Modeling spatial integration in the ocular following response to center-surround stimulation using a probabilistic framework	Proceedings of COSYNE (2008)	fulltext
Perrinet and Masson 2009	Perrinet, L.U. and Masson, G.S.	Decoding the population dynamics underlying ocular following response using a probabilistic framework	Eighteenth Annual Computational Neuroscience Meeting (2009) Chicago
Perrinet et al. 2009	Perrinet, L., Voges, N., Kremkow, J. and Masson, G.S.S	Decoding center-surround interactions in population of neurons for the ocular following response	Proceedings of COSYNE Conference (2009)
Phillipp et al. 2007	Philipp, S., Gruebl, A., Meier, K. and Schemmel, J.	Interconnecting VLSI Spiking Neural Networks Using Isochronous Connections	Proceedings of the International Work-Conference on Artificial Neural Networks (IWANN) 2007, LNCS 4507, p. 471-478, Springer	abstract
Piwkowska 2007	Piwkowska, 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. 2007b	Pospischil, M., Piwkowska, Z., Rudolph, M., Bal, T. and Destexhe, A.	Inhibitory conductance dynamics in cortical neurons during activated states	Neurocomputing (2007) 70: 1602-1604	abstract, fulltext
Renaud et al. 2007	Renaud, S., Tomas, J., Bornat, Y., Daouzli, A. and Saïghi, S.	Neuromimetic ICs with analog cores: an alternative for simulating spiking neural networks	International 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., 2007b	Renaud, S., Bornat, Y., Daouzli, A., Saïghi, S.	Engineering Neuromorphic systems	Neurocomp 2007, Paris, France (2007)
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Reynaud et al. 2009	Reynaud, A., Masson, G.S. and Chavane, F.	Cortical origin of contrast response function contextual modulation in V1 population activity measured with voltage-sensitive dye imaging	Journal of Vision (2009) 9(8):749, 749a.VSS, Naples FL.
Rochel et al. 2007	Rochel, 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 networks	Signal and Devices Conference (SSD? 2007), Hammamet, Tunisia, March 2007
Rochel et al. 2007b	Rochel, 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 map	SSD'07: Fourth International Multi-Conference on Systems, Signals & Devices, March 19-22, 2007, Hammamet, Tunisia	fulltext
Rostro-Gonzalez et al. 2009	Rostro-Gonzalez, H., Cessac, B., Vasquez, J.C. and Viéville, T.	Back-engineering of spiking neural networks parameters	Poster 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. 2009	Roux, S., Suchanek, D., Aertsen, A. and Boucsein, C.	Visual evoked activity in V1 of anesthetized rats: from gratings to natural images	NWG Annual Meeting (Göttingen) (2009), T16-9C
Roux et al. 2009a	Roux, S., Suchanek, D., Aertsen, A. and Boucsein, C.	Visual evoked activity in V1 of anesthetized rats	SFN Annual Meeting (Chicago) (2009), abstr. 353
Roux et al. 2009b	Roux, S., Suchanek, D., Aertsen, A. and Boucsein, C.	Visual evoked activity in V1 of anesthetized rats	SFN Annual Meeting (Chicago), abstr. 353 (2009)
Rudolph and Destexhe 2006c	Rudolph, M. and Destexhe, A.	Event-based simulation strategy for conductance-based synaptic interactions and plasticity	Neurocomputing (2006) 69: 1130-1133
Rudolph and Destexhe 2007	Rudolph, M. and Destexhe, A.	How much can we trust neural simulation strategies?	Neurocomputing (2007) 70(12-12): 1966-1969	abstract, fulltext
Rudolph and Destexhe 2007a	Rudolph, M. and Destexhe, A.	The complex world of the small brain	Proceedings of the Computation and Neural Systems 2007 Conference (2007) pp. 92, 2007.
Saighi et al. 2006	Saighi, S., Bornat, Y., Tomas, J. and Renaud, S.	Neuromimetic ICs and System for Parameters Extraction in Biological Neuron Models	InternationaI Symposium on Circuits And Systems 2006, ISCAS06, Island of Kos, Greece, May 21-24, 2006, pp 4207-4210, ISBN 0-7803-9390-2
Saighi et al. 2006b	Saighi, S., Bornat, Y., Tomas, J. and Renaud, S.	Neuromimetic ICs and System for Parameters Extraction in Biological Neuron Models	InternationaI Symposium on Circuits And Systems, ISCAS06, Island of Kos, (Grèce), 2006
Saighi et al. 2008	Saïghi, S., Buhry, L., Bornat, Y., N'kaoua, G., Tomas, J. and Renaud, S.	Adjusting the Neurons Models in Neuromimetic ICs using the Voltage-Clamp Technique	Proc. of the Int. Symp. on Circuits And Systems (ISCAS08), Seattle, USA (2008):1564-1567	abstract, fulltext
Saighi et al. 2010a	Saïghi, S., Tomas, J., Bornat, Y., Belhadj, B., Malot, O., Renaud, S.	Real-time multiboard architecture for analog spiking neural network	IEEE International Symposium on Circuits and Systems - ISCAS (2010), Paris, France
Saighi et al. 2010b	Saighi, S., Levi, T., Belhadj, B., Malot O., Tomas, J.	Hardware system for biologically realistic, plastic, and real-time spiking neural network simulations	International Joint Conference on Neural Networks - IJCNN (2010), Barcelona, Spain
Sari et al. 2009	Sari, 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 2009	Schemmel, J.	VLSI Implementations of Very Large Scale Neuromorphic Circuits	talk on the ESSCIRC/BIECS 09, Athens, Greek	fulltext
Schemmel et al. 2006	Schemmel, J., Gruebl, A., Meier, K. and Mueller, E.	Implementing Synaptic Plasticity in a VLSI Spiking Neural Network Model	Proceedings of the 2006 International Joint Conference on Neural Networks (IJCNN'06), 2006, IEEE Press	abstract, fulltext
Schemmel et al. 2007	Schemmel, J., Bruederle, D., Meier, K., Ostendorf, B.	Modeling Synaptic Plasticity within Networks of Highly Accelerated I&F Neurons	Proceedings of the 2007 IEEE International Symposium on Circuits and Systems (2007)	abstract
Schemmel et al. 2010	Schemmel, J., Brüderle, D., Grübl, A., Hock, M., Meier, K. and Millner, S.	A Wafer-Scale Neuromorphic Hardware System for Large-Scale Neural Modeling	Proceedings of the 2010 IEEE International Symposium on Circuits and Systems, Paris, France (2010):1947-1950	fulltext
Schmidt et al. 2010	Schmidt, N., Peyré, G., Frégnac, Y. and Roland, P.E.	Separation of traveling waves in cortical networks using optical imaging	Proceedings of the 2010 IEEE international conference on Biomedical imaging: from nano to Macro, Rotterdam, Netherlands (2010): 868-871	abstract
Scholze et al. 2007	Scholze, S., Ehrlich, M. and Schüffny, R.	Modellierung eines wafer-scale Systems für pulsgekoppelte neuronale Netze	Proceedings of Dresdener Arbeitstagung Schaltungs- und Systementwurf, DASS07, Dresden 2007, pp. 61 - 66	fulltext
Scholze et al. 2010	Scholze, S., Henker, S., Partzsch, J., Mayr, C. and Schüffny, R.	Optimized Queue Based Communication in VLSI Using a Weakly Ordered Binary Heap	IEEE International Conference on Mixed Design of Integrated Circuits and Systems MIXDES 2010, pp. 316-320
Schrauwen et al 2009	Schrauwen, B., Buesing, 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 20. MIT Press, 2009	fulltext
Tomas et al 2010	Tomas, J., Silver, J., Saïghi, S., Barnaby, H., Renaud, S.	A conductance-based silicon neuron with membrane-voltage dependent temporal dynamics	IEEE North East Workshop on Circuits and Systems - NEWCAS (2010), Montréal, Canada
Tomas et al. 2006	Tomas, J., Bornat, Y., Saighi, S., Levi, T. and Renaud, S.	Design of a modular and mixed neuromimetic ASIC	ICECS 2006, 13th IEEE International Conference on Electronics, Circuits and Systems, Nice, France, 10-13 December 2006, pp. 946-949	abstract
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Uchizawa et al. 2006	Uchizawa, K., Douglas, R. and Maass, W.	Energy Complexity and Entropy of Threshold Circuits	Automata, 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. 2009	Vasquez, J. C., Cessac, B., Rostro-Gonzalez, H. and Viéville, T.	How Gibbs Distributions may naturally arise from synaptic adaptation mechanism	CNS (2009), Berlin
Viéville and Cessac 2009	Viéville, T. and Cessac, B.	Parametric Estimation of spike train statistics	CNS 09 Berlin
Voges et al. 2008	Voges, N., Kremkow, J. and Perrinet, L.	Dynamics of cortical networks based on patchy connectivity patterns	FENS Abstr. (2008) 4: 075.14	abstract
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Wendt et al. 2008	Wendt, K., Ehrlich, M., Schüffny, R.	A graph theoretical approach for a multistep mapping software for the FACETS project	WSEAS (2008) 6: 189 - 194	fulltext
Wendt et al. 2010	Wendt, 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 VSDI	Oral Presentation for FACETS Workshop « Macroscopic Aspects of Neuronal Activity: VSD, LFP and Macroscopic Models ». Marseille/France November 30, 2009.
Yger et al. 2009	Yger, 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. 2007	Yger, 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. 2007b	Yger, P., Morrison, A., Diesmann, M., Davison, A.P., and Frégnac, Y.	STDP in topographical neuronal networks	RIKEN BSI Workshop, Wako, Japan. (2007)
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Yger et al. 2009	Yger, 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. 2009b	Yger, 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 analysis	In Proceedings of the 32th Göttingen Neurobiology Conference

Web publication (reviewed)

	Destexhe, A.	Spike-and-wave oscillations	In: Scholarpedia, Encyclopedia of Computational Neuroscience, Edited by Izhikevich, E., 2007, p.8687	fulltext
Destexhe 2007b	Destexhe, 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 electrode	arXiv preprint (2007) http://arxiv.org/abs/0711.2075	abstract, fulltext
Alonso et al. 2005	Alonso-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 brain	Bio Pro, the Biotech / Life Science Portal Baden-Württemberg (December 16, 2007)	fulltext
ALUF 2008d		How thoughts arise	Thinking 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 thought	World of Photonics Portal (2008)	fulltext
Chossat and Faugeras 2009	Chossat, 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
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Albert 2010	Albert, M.	Liquid Computing mit Neuromorpher Hardware	Bachelor thesis (in German language), University of Heidelberg, 2010	abstract, fulltext
Belhadj and Tomas 2008	Belhadj, B. and Tomas, J.	Un système mixte de traitement de l?information neuronale destiné à la simulation des réseaux de neurones réalistes	in Journées Nationales du Réseau Doctoral en Microélectronique (JNRDM'08), Bordeaux, France, 2008
Belhady 2010	Belhadj, B.	Systèmes neuromorphiques temps réel: contribution à l?intégration de réseaux de neurones biologiquement réalistes avec fonctions de plasticité	PhD thesis (French), University of Bordeaux, July 22, 2010
Bergel 2010	Bergel, A.	Transforming the BCPNN Learning Rule for non-spiking units to a Learning Rule for spiking units	Master thesis at KTH (2010)	abstract
Brüderle 2009	Brüderle, D.	Neuroscientific Modeling with a Mixed-Signal VLSI Hardware System	Ph.D. thesis at the University of Heidelberg (2009)	fulltext
Cessac 2009	Cessac, B.	Neural Networks as dynamical systems	arXiv:0901.2203v2	abstract, fulltext
Destexhe and Crunelli 2008	Destexhe, A. and Crunelli, V.	Editorial: Methods for computational neuroscience.	J. Neurosci. Methods (2008) 30: 269-270
Escobar et al. 2007	Escobar, 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. 2008b	Escobar, M.-J. , Masson, G.S., Vieville, T. and Kornprobst, P.	Rate versus synchrony code for human action recognition	INRIA research report 6669 (2008)	fulltext
Faugeras et al. 2007	Faugeras, O., Grimbert, F., and Slotine, J.-J.	Stability and synchronization in neural fields	INRIA 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 2009	Simon Friedmann	Extending a Hardware Neural Network Beyond Chip Boundaries	Diploma thesis (English), University of Heidelberg (2009) HD-KIP 09-41	fulltext
Höppner, 2008	Höppner, S.	Development of components for a fractional-N-PLL in CMOS-Technology	Diploma-Thesis (2008) at the Insitute of Fondations of Electrical and Electronic Engineering, Technische Universität Dresden, Germany
Hörzer 2008	Hörzer, G.	Extraction of Information about the Behavioural state of Monkeys from Neural Recordings with Methods from Machine Learning	Masterthesis (2008) Institute for Theoretical Computer Science, TUG, Austria
Holzmann 2008	Holzmann, G.	Echo State Networks with Filter Neurons and a Delay&Sum Readout with Applications in Audio Signal Processing	Master Thesis (2008) at the Institute for Theoretical Computer Science, TUG, Austria
Johansson 2006	Johansson, C.	An Attractor Memory Model of Neocortex	PhD thesis (2006), Computer Science and Communication. Stockholm, Royal Institute of Technology, Sweden.
Kremkow 2009	Kremkow, J.	Correlating excitation and inhibition in visual cortical circuits: Functional consequences and biological feasibility	PhD thesis (2009) Université de la Méditerranée and Albert-Ludwigs-Universitat, Freiburg.
Levi et al. 2007b	Levi, T., Lewis, N., Tomas, J. and Fouillat, P.	IP-based design for analogue ASICs: A case study	Design and Reuse Articles, May , 2007	fulltext
Nikolic et al. 2007a	Nikolic, D., Haeusler, S., Singer, W. and Maass, W.	Temporal dynamics of information content carried by neurons in the primary visual cortex	Proc. of NIPS 2006, Advances in Neural Information Processing Systems, volume 19. MIT Press, 2007.	abstract
Partzsch 2007	Partzsch, J.	Benchmark-Toolbox for the FACETS-Design-Framework	Diploma-Thesis (2007) at the Insitute of Fondations of Electrical and Electronic Engineering, Technische Universität Dresden, Germany
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
Rasch 2008	Rasch, M. J.	Analysis of Neural Signals: Interdependence, Information Coding, and Relation to Network Models	Ph.D. Dissertation (2008), Institute for Theoretical Computer Science, TUG, Austria	abstract
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
Wendt 2007	Wendt, K.	Mapping- and Configuration-Tool for the FACETS-Design-Framework	Diploma-Thesis (2007) at the Insitute of Fondations of Electrical and Electronic Engineering, Technische Universität Dresden, Germany
Wohrer 2007	Wohrer, A.	Mathematical study of a neural gain control mechanism	INRIA Research Report 6327	fulltext
Wohrer 2008	Wohrer, A.	The vertebrate retina: A functional review	INRIA Research Report 6232
Wohrer 2008b	Wohrer, A.	Model and large-scale simulator of a biological retina with contrast gain control	PhD, University of Nice Sophia-Antipolis.
Wohrer et al. 2009	Wohrer, A., Kornprobst, P. and Antonini, M.	Retinal filtering and image reconstruction	INRIA Research Report 6960 (2009)

TV show

ALUF 2008g		Wie Gedanken entstehen	TV show "Service aktuell: Gesundheit" ARD Digital EinsPlus (April 15, 2008)	fulltext
UHEI 2007b		Superrechner soll Verständnis von Nervenleiden helfen	nano (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 Kopf	Badische Zeitung, Köpfe der Universität (October 12, 2007)	fulltext
ALUF 2008a		Wie Gedanken entstehen	Stadtkurier Freiburg (January 10, 2008)	fulltext
ALUF 2008h		Was passiert genau jetzt in Ihrem Gehirn? Der Freiburger Mathematiker Stefan Rotter arbeitet an einem Grundmodell der Hirnfunktion	Badische 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 arise	Press release BCCN (January 10, 2008)	fulltext
ALUF 2008c		How Thoughts Arise	Press release of the Freiburg University (January 8, 2008)	fulltext
ALUF 2008i		Signalverarbeitung im Hintergrundrauschen des Gehirns	Press release of the Freiburg University (July 24, 2008)	fulltext
UHEI 2007a	Meier, K.	Computer nach dem Vorbild des Gehirns?	University of Heidelberg Research Magazine "Ruperto Carola" (2007) 1	fulltext