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Nombre de documents

113

Bruno Cessac


Article dans une revue29 documents

  • Bruno Cessac, Arnaud Le Ny, Eva Löcherbach. On the mathematical consequences of binning spike trains. Neural Computation, Massachusetts Institute of Technology Press (MIT Press), 2016. <hal-01351964>
  • Fatihcan Atay, Sven Banisch, Philippe Blanchard, Bruno Cessac, Eckehard Olbrich. Perspectives on Multi-Level Dynamics. The interdisciplinary journal of Discontinuity, Nonlinearity, and Complexity, 2016, 5, pp.313 - 339. <10.5890/DNC.2016.09.009>. <hal-01387733>
  • Hassan Nasser, Bruno Cessac. Parameter Estimation for Spatio-Temporal Maximum Entropy Distributions: Application to Neural Spike Trains. Entropy, MDPI, 2014, 16 (4), pp.2244-2277. <http://www.mdpi.com/1099-4300/16/4/2244#tabs-5>. <10.3390/e16042244>. <hal-01096213>
  • Jérémie Naudé, Bruno Cessac, Hugues Berry, Bruno Delord. Effects of Cellular Homeostatic Intrinsic Plasticity on Dynamical and Computational Properties of Biological Recurrent Neural Networks.. Journal of Neuroscience, Society for Neuroscience, 2013, 33 (38), pp.15032-15043. <10.1523/JNEUROSCI.0870-13.2013>. <hal-00844218>
  • Hassan Nasser, Olivier Marre, Bruno Cessac. Spatio-temporal spike train analysis for large scale networks using the maximum entropy principle and Monte Carlo method. Journal of Statistical Mechanics: Theory and Experiment, IOP Science, 2013, 2013 (03), pp.P03006. <10.1088/1742-5468/2013/03/P03006>. <hal-00846160>
  • Bruno Cessac, Rodrigo Cofre. Spike train statistics and Gibbs distributions. Journal of Physiology - Paris, Elsevier, 2013, 107 (5), pp.360-368. <hal-00850155>
  • Rodrigo Cofré, Bruno Cessac. Dynamics and spike trains statistics in conductance-based Integrate-and-Fire neural networks with chemical and electric synapses. Chaos, Solitons and Fractals, Elsevier, 2013, 50, pp.13-31. <10.1016/j.chaos.2012.12.006>. <hal-00846091>
  • Horacio Rostro-Gonzalez, Bruno Cessac, Thierry Viéville. Parameters estimation in spiking neural networks: a reverse-engineering approach. Journal of Neural Engineering, IOP Publishing, 2012, 9 (2), pp.026024. <10.1088/1741-2560/9/2/026024>. <hal-00845594>
  • Juan Carlos Vasquez, Olivier Marre, Adrian Palacios, Michael J. Berry Ii, Bruno Cessac. Gibbs distribution analysis of temporal correlations structure in retina ganglion cells. Journal of Physiology - Paris, Elsevier, 2012, 106 (3-4), pp.120-127. <hal-00846132>
  • Bruno Cessac. A discrete time neural network model with spiking neurons II. Dynamics with noise. Journal of Mathematical Biology, Springer Verlag (Germany), 2011, pp.863-900. <10.1007/s00285-010-0358-4>. <inria-00530115>
  • Horacio Rostro, Bruno Cessac, Bernard Girau, César Torres-Huitzil. The role of the asymptotic dynamics in the design of FPGA-based hardware implementations of gIF-type neural networks. Journal of Physiology - Paris, Elsevier, 2011, 105 (1-3), pp.91-97. <10.1016/j.jphysparis.2011.09.004>. <hal-00642997>
  • Bruno Cessac. Statistics of spike trains in conductance-based neural networks: Rigorous results. Journal of Mathematical Neuroscience, BioMed Central, 2011, 1 (1), pp.8. <hal-00640501v2>
  • Bruno Cessac. A view of Neural Networks as dynamical systems. International Journal of Bifurcation and Chaos, World Scientific Publishing, 2010, 20 (6), pp.1585-1629. <10.1142/S0218127410026721>. <inria-00534326>
  • Bruno Cessac, Hélène Paugam-Moisy, Thierry Viéville. Overview of facts and issues about neural coding by spikes. Journal of Physiology - Paris, Elsevier, 2010, 104 (1-2), pp.5-18. <10.1016/j.jphysparis.2009.11.002>. <inria-00407915>
  • Bruno Cessac, Horacio Rostro, Juan Carlos Vasquez, Thierry Viéville. How Gibbs Distributions May Naturally Arise from Synaptic Adaptation Mechanisms. A Model-Based Argumentation. Journal of Statistical Physics, Springer Verlag, 2009, Journal of Statistical Physics, 136 (3), pp.565-602. <10.1007/s10955-009-9786-1>. <inria-00407905>
  • Horacio Rostro-Gonzalez, Bruno Cessac, Juan Vasquez, Thierry Viéville. Back-engineering of spiking neural networks parameters. BMC Neuroscience, BioMed Central, 2009, 10 (Suppl 1), pp.P289. <hal-00784453>
  • Juan Vasquez, Bruno Cessac, Horacio Rostro-Gonzalez, Thierry Vieville. How Gibbs distributions may naturally arise from synaptic adaptation mechanisms. BMC Neuroscience, BioMed Central, 2009, 10 (Suppl 1), pp.P213. <hal-00784452>
  • Benoit Siri, Hugues Berry, Bruno Cessac, Bruno Delord, Mathias Quoy. A mathematical analysis of the effects of Hebbian learning rules on the dynamics and structure of discrete-time random recurrent neural networks.. Neural Computation, Massachusetts Institute of Technology Press (MIT Press), 2008, 20, pp.2937-2966. <inria-00633582>
  • Bruno Cessac, Thierry Viéville. On Dynamics of Integrate-and-Fire Neural Networks with Adaptive Conductances. Frontiers in Neuroscience, Frontiers, 2008, 2 (2). <inria-00338369>
  • Bruno Cessac. A discrete time neural network model with spiking neurons. Rigorous results on the spontaneous dynamics. Journal of Mathematical Biology, Springer Verlag (Germany), 2008, 56 (3), pp.311-345. <inria-00423350>
  • Bruno Cessac. Does the complex susceptibility of the Henon map have a pole in the upper-half plane ? A numerical investigation. Nonlinearity, IOP Publishing, 2007, 20, pp.2883-2895. <10.1088/0951-7715/20/12/007>. <hal-00188795>
  • Benoît Siri, Mathias Quoy, Bruno Delord, Bruno Cessac, Hugues Berry. Effects of Hebbian learning on the dynamics and structure of random networks with inhibitory and excitatory neurons.. Journal of Physiology - Paris, Elsevier, 2007, 101 (1-3), pp.136-48. <10.1016/j.jphysparis.2007.10.003>. <inria-00633581>
  • Bruno Cessac, Thierry Viéville. Revisiting time discretisation of spiking network models. BMC Neuroscience, BioMed Central, 2007, 8 (Suppl 2), pp.P76. <hal-00784465>
  • M. Samuelides, Bruno Cessac. Random Recurrent Neural Networks Dynamics. EPJ Special Topics, Springer, 2007, "Topics in Dynamical Neural Networks : From Large Scale Neural Networks to Motor Control and Vision", 142 (1), pp.89-122. <inria-00529560>
  • Bruno Cessac, Jacques Alexandre Sepulchre. Linear response, susceptibility and resonances in chaotic toy models. Physica D: Nonlinear Phenomena, Elsevier, 2006, 225, pp.13-28. <10.1016/j.physd.2006.09.034>. <hal-00119548>
  • Bruno Cessac, M. Samuelides. From Neuron to Neural Networks dynamics. European Physical Journal - Special Topics, EDP Sciences, 2006, 142 (1), pp.7-88. <10.1140/epjst/e2007-00058-2>. <inria-00529558>
  • Michel Barber, Ph. Blanchard, Eva Buchinger, Bruno Cessac, Ludwig Streit. Expectation-driven interaction : a model based on Luhmann's contingency approach. Journal of Artificial Societies and Social Simulation, SimSoc Consortium, 2006, 9 (4). <hal-00123621>
  • Emmanuel Daucé, Mathias Quoy, Bruno Cessac, Bernard Doyon, Manuel Samuelides. Self-organization and pattern-induced reduction of dynamics in recurrent networks. Neural Networks, Elsevier, 1998, 11, pp.521-533. <hal-01416782>
  • Manuel Samuelides, Bernard Doyon, Bruno Cessac, Mathias Quoy. Spontaneous dynamics and associative learning in an asymmetric recurrent random neural network. Annals of Mathematics and Artificial Intelligence (AMAI), 1996, pp.312-317. <hal-01416779>

Communication dans un congrès44 documents

  • Audric Drogoul, Gilles Aubert, Bruno Cessac, Pierre Kornprobst. A new nonconvex variational approach for sensory neurons receptive field estimation. 6th International Workshop on New Computational Methods for Inverse Problems , May 2016, Cachan, France. IOPScience, Journal of Physics: Conference Series, 756 (1), pp.12006, 2016, <10.1088/1742-6596/756/1/012006>. <hal-01379952>
  • Dora Karvouniari, Lionel Gil, Olivier Marre, Serge Picaud, Bruno Cessac. Mathematical and experimental studies on retinal waves. 2nd International Conference on Mathematical Neuroscience (ICMNS), May 2016, Juan les Pins, France. 2016. <hal-01324365>
  • Bruno Cessac. Statistical analysis of spike trains in neuronal networks. Neuroscience and modellint, Dec 2015, Paris, France. <hal-01246092>
  • Dora Karvouniari, L Gil, Bruno Cessac. Biophysical reaction-diffusion model for stage II retinal waves and bifurcations analysis. MathStatNeuro workshop, Sep 2015, Nice, France. 2015. <hal-01211548>
  • Bruno Cessac, Jérémie Naudé, Hugues Berry, Bruno Delord. Control of recurrent neural network dynamics byhomeostatic intrinsic plasticity. Workshop on neural population dynamics, Feb 2015, Gif sur Yvette, France. <hal-01225622>
  • Bruno Cessac. Confronting mean-field theories to measurements a perspective from neuroscience. Confronting mean-field theories to measurements a perspective from neuroscience, Jan 2015, Paris, France. <hal-01225619>
  • Bruno Cessac. Statistical models for spike trains analysis in the retina.. 12eme Colloque de la société des neurosciences, May 2015, Montpellier, France. <hal-01235313>
  • Bruno Cessac. Mean Field TheoriesNeuroscience. QFT methods in stochastic nonlinear dynamics, Mar 2015, Bielefeld, Germany. <hal-01235311>
  • Rodrigo Cofre, Bruno Cessac. Spatio-Temporal Linear Response of Spiking Neuronal Network Models. ISCLANE 15, Sep 2015, Barcelone, Spain. <hal-01235318>
  • Bruno Cessac. Spike train statistics: from mathematical models to software to experiments. 6th Workshop in Computational Neuroscience in Marseille, Mar 2014, Marseille, France. <http://rncm2014.sciencesconf.org/>. <hal-01095746>
  • Bruno Cessac. Neural Networks Dynamics. LACONEU 2014, Jan 2014, Valparaiso, Chile. 2014. <hal-01095600>
  • Jeremie Naudé, Bruno Cessac, Hugues Berry, Bruno Delord. Effects of Cellular Homeostatic Intrinsic Plasticity on Dynamical and ComputationalProperties of Biological Recurrent Neural Networks. LACONEU 2014, Jan 2014, Valparaiso, Chile. 33, 2014, <10.1523/JNEUROSCI.0870-13.2013>. <hal-01095601>
  • Bruno Cessac. De la rétine à la physique statistique. 4 ème journée de la physique niçoise, Jun 2014, Sophia Antipolis, France. <nicephysicsdays.org/20_juin_2014/>. <hal-01095605>
  • Bruno Cessac, Rodrigo Cofre. Statistical analysis of spike trains in neuronal networks. MATHSTATNEURO Workshop, Jun 2014, Copenhague, Denmark. <hal-01095606>
  • Bruno Cessac. Spike trains analysis, Gibbs distributions and (Variable Length ?) Markov chains. VLMC days, 5-6 March 2013, Mar 2013, Dijon, France. 2013. <hal-00845619>
  • Bruno Cessac, Rodrigo Cofre. Can we hear the shape of a Maximum Entropy potential from a spike train?. Bernstein Conference, Sep 2013, Tübingen, Germany. 2013. <hal-00851436>
  • Hassan Nasser, Olivier Marre, Bruno Cessac. Analyzing large-scale spike trains data with spatio-temporal constraints. Sensory Coding and Natural Environment, Sep 2012, Wien, Austria. 2012. <hal-00850091>
  • Rodrigo Cofré, Bruno Cessac. Dynamics and spike trains statistics in conductance-based Integrate-and-Fire neural networks with chemical and electric synapses. AREADNE 2012. Encoding And Decoding of Neural Ensembles, Jun 2012, Santorini, Greece. 2012. <hal-00850100>
  • Bruno Cessac. Gibbs distributions and statistics of action potentials in neural networks.. CHAOS, COMPLEXITY and DYNAMICS in BIOLOGICAL NETWORKS, Cargèse May 2012, 2012, Cargèse, France. 2012. <hal-00845600>
  • Bruno Cessac. Lecture on spike train statistics: beyond the maximal entropy models. Neural Coding and Natural Image Statistics 9-13 January 2012, Valparaiso, Chile, 2012, Valparaiso, Chile. 2012. <hal-00845598>
  • Bruno Cessac. Spike train statistics in neural network: exact results. Neural Coding and Natural Image Statistics 9-13 January 2012, Valparaiso, Chile, 2012, Valparaiso, Chile. 2012. <hal-00845599>
  • Bruno Cessac. Spike trains statistics and Gibbs distributions. Probabilistic structures of the brain, Cergy, December 13-14, 2012, 2012, Cergy, France. 2012. <hal-00845601>
  • Bruno Cessac, Rodrigo Cofré, Hassan Nasser. On the ubiquity of Gibbs distributions in spike train statistics. 3rd annual meeting of the GDR 2904 "Multi-electroides systems and signal processing to study neural networks", Marseille, 2012, Marseille, France. 2012. <hal-00849937>
  • Bruno Cessac, Rodrigo Salas, Thierry Viéville. Using event-based metric for event-based neural network weight adjustment. 20th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Apr 2012, Bruges, Belgium. Louvain-La-Neuve : I6doc.com, 18 pp, 2012. <hal-00755345>
  • Hassan Nasser, Olivier Marre, Selim Kraria, Thierry Viéville, Bruno Cessac. Analyzing large-scale spike trains data with spatio-temporal constraints. NeuroComp/KEOpS'12 workshop beyond the retina: from computational models to outcomes in bioengineering. Focus on architecture and dynamics sustaining information flows in the visuomotor system., Oct 2012, Bordeaux, France. 2012. <hal-00756467>
  • Hassan Nasser, Olivier Marre, Michael J. Berry Ii, Bruno Cessac. Spatio temporal Gibbs distribution analysis of spike trains using Monte Carlo method. AREADNE 2012 Research in Encoding And Decoding of Neural Ensembles, Jun 2012, Santorini, Greece. 2012. <hal-00849944>
  • Bruno Cessac. Statistics of action potentials in neural networks: from experiments to mathematics. Stochastic Dynamics in Mathematics, Physics and Engineering, Bielefeld 1-4 November, 2011, Bielefeld, Germany. 2011. <hal-00845728>
  • Bruno Cessac. Neural networks: some results about (i) Spike train statistics ; (ii) Linear response theory.. Mean-Field methods and multiscale analysis in neuronal populations, Marseille, 03-07 October 2011, 2011, Marseille, France. 2011. <hal-00845730>
  • Bruno Cessac. Spike trains statistics and Gibbs distributions. "Dynamics of Complex Systems" Closing conference : Sept. 5th-9th, Cergy, 2011, Cergy, France. 2011. <hal-00845729>
  • Bruno Cessac. Comportements émergents dans les réseaux de neurones.. Berder 2011 Coopérativité et singularité en biologie 3 - 9 avril 2011, 2011, Ile de Berder, France. 2011. <hal-00845731>
  • Bruno Cessac, Juan Carlos Vasquez, Hassan Nasser, Horacio Rostro-Gonzalez, Thierry Viéville, et al.. Parametric estimation of spike train statistics by Gibbs distributions : an application to bio-inspired and experimental data. Cinquième conférence plénière française de Neurosciences Computationnelles, "Neurocomp'10", Aug 2010, Lyon, France. <hal-00553441>
  • Bruno Cessac, Hassan Nasser, Juan Carlos Vasquez. Spike trains statistics in integrate and fire models: exact results.. Cinquième conférence plénière française de Neurosciences Computationnelles, "Neurocomp'10", Aug 2010, Lyon, France. <hal-00553403>
  • Bruno Cessac, Juan-Carlos Vasquez, Thierry Viéville. Statistical analysis of spike trains.. Workshop on Spike Train Measures and Their Applications to Neural Coding, Jun 2010, Plymouth, United Kingdom. 2010. <hal-00847436>
  • Bruno Cessac, Horacio Rostro, Juan-Carlos Vasquez, Thierry Viéville. Statistics of spike trains: A dynamical systems perspective. Stochastic models in neuroscience, Jan 2010, Marseille, France. 2010. <hal-00847435>
  • Bruno Cessac. Statistical analysis of spike trains. Workshop School Chaos and Dynamics in Biological Networks, 2010, Unknown, 2010. <hal-00847438>
  • Hassan Nasser, Bruno Cessac, Bogdan Kolomiets, Pierre Kornprobst, Serge Picaud. Toward a realistic input for visual cortex models. Timing Issues in the Specification and Synthesis of Digital Systems (TAU Workshop), Mar 2010, San Francisco, CA, United States. ACM, 2010. <hal-00847449>
  • Bruno Cessac, Juan Carlos Vasquez, Horacio Rostro, Thierry Viéville. How Gibbs Distributions may naturally arise from synaptic adaptation mechanisms. Eighteenth Annual Computational Neuroscience Meeting CNS*2009, 2009, Berlin, Germany. 2009. <inria-00407910>
  • Horacio Rostro, Bruno Cessac, Juan Carlos Vasquez, Thierry Viéville. Back- engineering of spiking neural networks parameters. Eighteenth Annual Computational Neuroscience Meeting CNS*2009, 2009, Berlin, Germany. 2009. <inria-00407911>
  • Bruno Cessac, Juan Carlos Vasquez, Thierry Viéville. Parametric Estimation of spike train statistics. Eighteenth Annual Computational Neuroscience Meeting CNS*2009, 2009, Berlin, Germany. 2009. <inria-00407913>
  • Horacio Rostro, Bruno Cessac, Juan Carlos Vasquez, Thierry Viéville. On deterministic reservoir computing: network complexity and algorithm. Neurocomp'09, 2009, Bordeaux, France. 2009. <inria-00437203>
  • Juan Carlos Vasquez, Bruno Cessac, Horacio Rostro, Thierry Viéville. Gibbs Distributions and STDP: An study case on recurrent Neural Networks. Neurocomp'09, 2009, Bordeaux, France. 2009. <inria-00437205>
  • Bruno Cessac, Horacio Rostro, Juan Carlos Vasquez, Thierry Viéville. Statistics of spikes trains, synaptic plasticity and Gibbs distributions.. Deuxième conférence française de Neurosciences Computationnelles, "Neurocomp08", Oct 2008, Marseille, France. <hal-00331541>
  • Bruno Cessac, Horacio Rostro, Juan Carlos Vasquez, Thierry Viéville. To which extend is the "neural code'' a metric ?. Deuxième conférence française de Neurosciences Computationnelles, "Neurocomp08", Oct 2008, Marseille, France. <hal-00331567>
  • Frédéric Alexandre, Bruno Cessac, Thierry Viéville. Neurosciences Computationelles: le cerveau est il un bon modèle de réseaux de neurones ?. Séminaire Algorithmique et Programmation des Professeurs de Mathématiques en Classes Préparatoires, May 2008, Marseille, France. 2008. <inria-00338371>

Poster18 documents

  • Bruno Cessac, Pierre Kornprobst, S. Kraria, H. Nasser, Daniela Pamplona, et al.. ENAS: A new software for spike train analysis and simulation. Bernstein conference, Sep 2016, Berlin, Germany. <http://www.nncn.de/en/bernstein-conference/2016>. <hal-01368757>
  • Dora Karvouniari, Lionel Gil, Olivier Marre, Serge Picaud, Bruno Cessac. Biophysical modelling of the intrinsic mechanisms of the autonomous starbust cells during stage II retinal waves. Modelling the early visual system - Workshop, Jan 2016, Paris, France. <hal-01256477>
  • Rodrigo Cofre, Bruno Cessac. Spike train analysis and Gibbs distributions. Bernstein Conference 2016, Sep 2016, Berlin, Germany. <hal-01378001>
  • Rubén Herzog, Maria-Jose Escobar, Adrian Palacios, Bruno Cessac. Dimensionality Reduction in spatio-temporal MaxEnt models and analysis of Retinal Ganglion Cell Spiking Activity in experiments. Bernstein Conference 2016 , Sep 2016, Berlin, Germany. <http://www.nncn.de/en/news/events/bernstein-conference-2016>. <hal-01377370>
  • Audric Drogoul, Gilles Aubert, Bruno Cessac, Pierre Kornprobst. A variational approach for receptive field estimation in the nonconvex case. Second International Conference on Mathematical NeuroScience (ICMNS), May 2016, Juan Les Pins, France. <hal-01292700>
  • Dora Karvouniari, Lionel Gil, Olivier Marre, Serge Picaud, Bruno Cessac. Modeling the emergence of stage II retinal waves in immature retina. AREADNE 2016 Research in Encoding And Decoding of Neural Ensembles, Jun 2016, Santorini, Greece. <http://areadne.org/>. <hal-01339875>
  • Cesar Ravello, Rubén Herzog, Bruno Cessac, Maria-Jose Escobar, Adrian Palacios. Spectral dimension reduction on parametric models for spike train statistics. 12e Colloque de la Société des Neurosciences , May 2015, Montpellier, France. <hal-01246088>
  • Daniela Pamplona, Bruno Cessac, Pierre Kornprobst. Shifting stimulus for faster receptive fields estimation of ensembles of neurons. Computational and Systems Neuroscience (Cosyne), Mar 2015, Salt Lake City, United States. <http://www.cosyne.org/c/index.php?title=Cosyne_15>. <hal-01215537>
  • Daniela Pamplona, Gerrit Hilgen, Sahar Pirmoradian, Matthias Hennig, Bruno Cessac, et al.. A super-resolution approach for receptive fields estimation of neuronal ensembles. Computational Neuroscience (CNS), Jul 2015, Prague, Czech Republic. <http://www.cnsorg.org/cns-2015>. <hal-01215541>
  • Gerrit Hilgen, Samantha Softley, Daniela Pamplona, Pierre Kornprobst, Bruno Cessac, et al.. The effect of retinal GABA Depletion by Allylglycineon mouse retinal ganglion cell responses to light. European Retina Meeting, Oct 2015, Brigthon, United Kingdom. <hal-01235324>
  • Rubén Herzog, Joaquin Araya, Michael Pizarro, Bruno Cessac, Cesar Ravello, et al.. From Habitat to Retina: Neural Population Coding using Natural Movies. Bernstein Conference 2015, Sep 2014, Goettingen, Germany. <http://www.bernstein-conference.de/>. <hal-01095781>
  • Rodrigo Cofre, Bruno Cessac. Can We Hear the Shape of a Maximum Entropy Potential From Spike Trains?. Bernstein Conference 2015, Sep 2014, Goettingen, Germany. <http://www.bernstein-conference.de/>. <hal-01095760>
  • Hassan Nasser, Selim Kraria, Bruno Cessac. EnaS: a new software for neural population analysis in large scale spiking networks. Twenty Second Annual Computational Neuroscience Meeting : CNS 2013, Jul 2013, Paris, France. 14 (Suppl 1), pp.P57, 2013. <hal-00842303>
  • Rodrigo Cofre, Bruno Cessac. Dynamics and spike trains statistics in conductance-based Integrate-and-Fire neural networks with chemical and electric synapses. Twenty Second Annual Computational Neuroscience Meeting : CNS 2013, Jul 2013, Paris, France. 14 (Suppl 1), pp.P58, 2013. <hal-00842297>
  • Wahiba Taouali, Bruno Cessac. A maximum likelihood estimator of neural network synaptic weights. Twenty Second Annual Computational Neuroscience Meeting : CNS 2013, Jul 2013, Paris, France. 14 (Suppl 1), pp.P59, 2013. <hal-00842312>
  • Massimiliano Muratori, Bruno Cessac. Beyond dynamical mean-field theory of neural networks. Twenty Second Annual Computational Neuroscience Meeting : CNS 2013, Jul 2013, Paris, France. 14 (Suppl 1), pp.P60, 2013. <hal-00842309>
  • Rodrigo Cofré, Bruno Cessac. Role of electric synapses in spike train statistics of integrate and fire neural networks. GDR MEA 2012. Encoding And Decoding of Neural Ensembles, Jun 2012, Marseille, France. 2012. <hal-00850109>
  • Rodrigo Cofre, Bruno Cessac. Dynamics and spike trains statistics in conductance-based Integrate-and-Fire neural networks with chemical and electric synapses. AREADNE 2012. Encoding And Decoding of Neural Ensembles, Jun 2012, Santorini, Greece. 2012. <hal-00850107>

Chapitre d'ouvrage1 document

  • Bruno Cessac, Adrian Palacios. Spike Train Statistics from Empirical Facts to Theory: The Case of the Retina. Frédéric Cazals and Pierre Kornprobst. Modeling in Computational Biology and Biomedicine: A Multidisciplinary Endeavor, Springer, 2013. <hal-00640507>

Autre publication2 documents

  • Benoit Siri, Hugues Berry, Bruno Cessac, Bruno Delord, Mathias Quoy. A mathematical analysis of the effects of Hebbian learning rules on the dynamics and structure of discrete-time random recurrent neural networks. Article. 2008. <inria-00149181v2>
  • Benoit Siri, Mathias Quoy, Bruno Delord, Bruno Cessac, Hugues Berry. Effects of Hebbian learning on the dynamics and structure of random networks with inhibitory and excitatory neurons. 2007. <inria-00155580>

Pré-publication, Document de travail8 documents

  • Dora Karvouniari, Lionel Gil, Olivier Marre, Serge Picaud, Bruno Cessac. A biophysical model explains the oscillatory behaviour of immature starburst amacrine cells. 2017. <hal-01484133>
  • Rodrigo Cofre, Bruno Cessac. Exact computation of the Maximum Entropy Potential of spiking neural networks models. 2014. <hal-00861397v4>
  • Jonathan Touboul, Bard Ermentrout, Olivier Faugeras, Bruno Cessac. Stochastic firing rate models. 2010. <inria-00534332>
  • Juan Carlos Vasquez, Thierry Viéville, Bruno Cessac. Entropy-based parametric estimation of spike train statistics. 37 pages, 8 figures. 2010. <inria-00534847>
  • Horacio Rostro-Gonzalez, Bruno Cessac, Juan Carlos Vasquez, Thierry Vieville. Back-engineering of spiking neural networks parameters. 30 pages, 17 figures, submitted. 2009. <hal-00846118>
  • Thierry Viéville, Bruno Cessac. Are biological neurons that vicious ? Or only their models ?. 32 pages, 12 figures, submited. 2007. <hal-00176200>
  • Bruno Cessac, Thierry Viéville. Are neuronal networks that vicious ? Or only their models ?. 32 pages, 9 figures. 2007. <hal-00176199>
  • E. Pecou, Bruno Cessac, G. Espinoza. Inducing periodicity and chaos by negative feedback. 11 pages, 14 figures, submited to "Chaos". 2007. <hal-00194648>

Rapport10 documents

  • Bruno Cessac, Pierre Kornprobst, S Kraria, H Nasser, Daniela Pamplona, et al.. ENAS: A new software for spike train analysis and simulation. [Research Report] RR-8958, Inria Sophia Antipolis; Inria Bordeaux Sud-Ouest. 2016. <hal-01377307>
  • Audric Drogoul, Gilles Aubert, Bruno Cessac, Pierre Kornprobst. A nonconvex variational approach for receptive field estimation. [Research Report] 8837, Inria Sophia Antipolis. 2016, pp.42. <hal-01279999v3>
  • Hassan Nasser, Bruno Cessac. Parameters estimation for spatio-temporal maximum entropy distributions: application to neural spike trains.. [Research Report] 2014. <hal-00927080>
  • Bruno Cessac, Rodrigo Cofre. Estimating maximum entropy distributions from periodic orbits in spike trains. [Research Report] RR-8329, INRIA. 2013. <hal-00842776>
  • Elaa Teftef, Maria-Jose Escobar, Aland Astudillo, Carlos Carvajal, Bruno Cessac, et al.. Modeling non-standard retinal in/out function using computer vision variational methods. [Research Report] RR-8217, INRIA. 2013, pp.28. <hal-00783091v2>
  • Ashwin Rao, Arnaud Legout, Bruno Cessac, Walid Dabbous. Floor the Ceil & Ceil the Floor: Revisiting AIMD Evaluation. [Research Report] 2012. <hal-00733890>
  • Juan Carlos Vasquez, Thierry Viéville, Bruno Cessac. Parametric Estimation of Gibbs distributions as generalized maximum-entropy models for the analysis of spike train statistics.. [Research Report] RR-7561, INRIA. 2011, pp.54. <inria-00574954v2>
  • Horacio Rostro-Gonzalez, Juan Carlos Vasquez, Bruno Cessac, Thierry Viéville. Reverse-engineering in spiking neural networks parameters: exact deterministic parameters estimation. [Research Report] RR-7199, INRIA. 2010, pp.41. <inria-00455415>
  • Bruno Cessac, Olivier Rochel, Thierry Viéville. Introducing numerical bounds to improve event-based neural network simulation. [Research Report] RR-6924, INRIA. 2009, pp.31. <inria-00382534>
  • Olivier Faugeras, Jonathan Touboul, Bruno Cessac. A constructive mean field analysis of multi population neural networks with random synaptic weights and stochastic inputs. [Research Report] RR-6454, INRIA. 2008, pp.58. <inria-00258345v3>

Cours1 document

  • Bruno Cessac. Mean-Field Models in neuroscience. Doctoral. Mean-Field Models in neuroscience., France. 2014. <cel-01095603>