Publications in 2009

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119 publication entries, 9 of them (printed in bold in the list) acknowledge the project support.
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Paper (reviewed)

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
Boucsein et al. 2009a	Boucsein, C., Tetzlaff, T., Meier, M., Aertsen, A. and Naundorf, B.	Dynamical response properties of neocortical neuron ensembles: multiplicative versus additive noise	Journal of Neuroscience (2009) 29(4):1006-1010 doi:10.1523/JNEUROSCI.3424-08.2009	fulltext
Brette et al. 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
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
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
Davison 2009b	Davison, A.P., Brüderle, D., Kremkow, J. and Muller, E.	A common language for neuronal networks in software and hardware.	The Neuromorphic Engineer (2010) doi:10.2417/1201001.1712	abstract, fulltext
Davison et al. 2009	Davison, A.P., Brüderle, D., Eppler, J., Kremkow, J., Muller, E., Pecevski, D., Perrinet, L. and Yger, P.	PyNN: a common interface for neuronal network simulators	Frontiers in Neuroinformatics (2009) 2:11 doi:10.3389/neuro.11.011.2008
Davison et al. 2009c	Davison, A.P., Hines, M. and Muller, E	Trends in programming languages for neuroscience simulations.	Frontiers in Neuroscience (2009) 3:3 doi:10.3389/neuro.01.036.2009
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
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
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
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. 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
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
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
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
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
Kriener et al. 2009	Kriener, B., Helias, M., Aertsen, A. and Rotter, S.	Correlations in spiking neuronal networks with distance dependent connections.	J Comput Neurosci (2009) 27: 177-200 doi:10.1007/s10827-008-0135-1	abstract, fulltext
Lansner 2009	Lansner, A.	Associative memory models ? from cell assembly theory to biophysically detailed cortex simulations.	Trends Neurosci (2009) 32: 178-186	abstract
Lévi et al. 2009	Levi, T., Tomas, J., Lewis, N. and Fouillat, P.	CMOS Resizing Methodology for Analog Circuits	IEEE Design and Test of Computers (2009) 26: 78-87
Long et al. 2009	Long, P., Mercer, A., Begum, R., Stephens, G.J., Sihra, T.S. and Jovanovic JN	Nerve Terminal GABAA Receptors Activate Ca2+/Calmodulin-dependent Signaling to Inhibit Voltage-gated Ca2+ Influx and Glutamate Release	The Journal of Biological Chemistry (2009) 284:8726-8737 doi:10.1074/jbc.M805322200	abstract
Lucas-Meunier et al. 2009	Lucas-Meunier, E., Monier, C. , Amar, M., Baux, G., Frégnac, Y. and Fossier, P.	Involvement of nicotinic and muscarinic receptors in the endogenous cholinergic modulation of the balance between excitation and inhibition in the young rat visual cortex.	Cerebral Cortex. (2009) 19 (10): 2411-2427.	fulltext
Marre et al. 2009	Marre, O., Yger, P., Davison, A.P and Frégnac, Y.	Reliable recall of spontaneous activity patterns in cortical networks	J. of Neuroscience (2009) 29(46):14596-14606 doi:10.1523/JNEUROSCI.0753-09.2009	abstract
Marre et al. 2009b	Marre, O., El Boustani, S., Frégnac, Y. and Destexhe, A.	Prediction of spatio-temporal patterns of neural activity from pairwise correlations.	Physical Review Letters (2009) 102(13):138101	abstract
Marre et al. 2009c	Marre, O., Yger, P., Davison, A. and Frégnac, Y.	Reliable recall of spontaneous activity patterns in chaotic cortical networks.	The Journal of Neuroscience (2009) 29(46):14596-14606.
Mayr et al. 2009	Mayr, C. and Partzsch, J. and Schüffny, R.	Transient responses of activity-dependent synapses to modulated pulse trains	Neurocomputing (2009) 73(1-3): 99-105 doi:10.1016/j.neucom.2009.02.019	abstract, BibTeX
Mayr et al. 2009b	Mayr, C. and Partzsch, J. and Schüffny, R.	On the Relation Between Bursts and Dynamic Synapse Properties: a Modulation-based Ansatz	Computational Intelligence and Neuroscience (2009) :ID 658474 doi:10.1155/2009/658474	fulltext, BibTeX
Naud09	Gerstner, W. and Naud, R.	How Good are Neuron Models?	Science (2009) 326(5951): 379-380 doi:10.1126/science.1181936	abstract, fulltext
Nawrot et al. 2009	Nawrot, M.P., Schnepel, P., Aertsen, A. and Boucsein, C.	Precisely timed signal transmission in neocortical networks with reliable intermediate-range projections	Frontiers in Neural Circuits (2009) 3 (1): 1-11 doi:10.3389/neuro.04.001.2009	abstract
Nikolic et al. 2010	Nikolic, D., Haeusler, S., Singer, W. and Maass, W.	Distributed Fading Memory for Stimulus Properties in the Primary Visual Cortex	PLoS Biol (2009) 7(12): e1000260 doi:10.1371/journal.pbio.1000260	fulltext
Pecevski et al. 2009	Pecevski, D., Natschläger, T. and Schuch, K.	PCSIM: a parallel simulation environment for neural circuits fully integrated with Python	Frontiers in Neuroinformatics (2009) 3:11	fulltext
Pospischil et al. 2009	Pospischil, M., Piwkowska, Z., Bal, T. and Destexhe, A.	Extracting synaptic conductances from single membrane potential traces	Neuroscience (2009) 158: 545-552	fulltext
Potjans et al. 2009	Potjans, W., Morrison, A. and Diesmann, M.	A spiking neural network model of an actor-critic learning agent	Neural Computation (2009) 21: 301-339	abstract, fulltext
Rochefort 2009	Rochefort, N.L., Buzás, P., Quenech'du, N., Koza, A., Eysel, U.T., Milleret, C. and Kisvárday, Z.F.	Functional Selectivity of Interhemispheric Connections in Cat Visual Cortex	Cerebral Cortex (2009) 19(10):2451-2465 doi:10.1093/cercor/bhp001	abstract
Sandström et al. 2009	Sandström, M., Lansner, A., Hellgren Kotaleski, J. and Rospars, J.-P.	Modeling the response of a population of olfactory receptor neurons to an odorant." doi: 10.1007/s10827-009-0147-5	J Comput Neurosci (2009)	abstract, fulltext
Steimer et al. 2008	Steimer, A., Maass, W. and Douglas, R.	Belief-propagation in networks of spiking neurons	Neural Computation (2009) 21(9): 2502-2523 doi:10.1162/neco.2009.08-08-837	abstract
Stepanyants et al. 2009	Stepanyants, A., Martinez, L. M., Ferecskó, A. S. and Kisvárday, Z. F.	The fractions of short- and long-range connections in the visual cortex	PNAS (USA) (2009) 106:3555-3560. doi:10.1073/pnas.0810390106
Symes and Wennekers 2009	Symes, A. and Wennekers, T.	Spatiotemporal dynamics in the cortical microcircuit: a modelling study of primary visual cortex layer 2/3	Neural Networks (2009) 22(8): 1079-92 doi:10.1016/j.neunet.2009.07.017	abstract
Wohrer and Kornprobst 2008	Wohrer, A. and Kornprobst, P.	Virtual Retina : A biological retina model and simulator, with contrast gain control	J Comput Neurosci. (2009) Apr;26(2):219-49	abstract, fulltext

Book

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

Book chapter

Brette 2009	Brette, R., Piwkowska, Z., Monier, C., Gomez, J., Frégnac, Y., Bal, T. and Destexhe, A.	Dynamic clamp with high resistance electrodes using active electrode compensation in vitro and in vivo	Dynamic Clamp. From Principles to Applications. A. Destexhe and T. Bal editors. Springer. (2009) P. 347-382	abstract
Destexhe and 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
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 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
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)
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
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

Conference contribution: poster

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. 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
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. 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.
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)
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
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)
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
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
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
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
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)
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
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).
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 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. 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. 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. 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
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
Levy et al. 2009b	Levy, M., Truchard, A., Sadoc, G., Ohzawa, I., Fregnac, Y. and Freeman, R.	Dynamics of nonlinear suppression in Cat V1 Simple cells.	Annual Meeting Computational Neuroscience Society (CNS'O9). 18-23 Juillet 2009, Berlin, Germany. 2009
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
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
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
Pecevski et al. 2009b	Pecevski, D., Natschläger, T. and Schuch, K.	PCSIM: A Parallel Simulation Environment for Neural Circuits Fully Integrated with Python	39th Annual Conference of the Society for Neuroscience, 2009
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)
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.
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
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Web publication

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

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Other

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