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inria-00574954v2  Rapport
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
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hal-01377370v1  Poster
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>
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hal-01378001v1  Poster
Rodrigo Cofre, Bruno Cessac. Spike train analysis and Gibbs distributions
Bernstein Conference 2016, Sep 2016, Berlin, Germany
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hal-01387733v1  Article dans une revue
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>
inria-00407905v1  Article dans une revue
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>
hal-00847435v1  Communication dans un congrès
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-00847436v1  Communication dans un congrès
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
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hal-00640507v1  Chapitre d'ouvrage
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
inria-00529560v1  Article dans une revue
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
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inria-00258345v3  Rapport
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
hal-01225619v1  Communication dans un congrès
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-01235313v1  Communication dans un congrès
Bruno Cessac. Statistical models for spike trains analysis in the retina.
12eme Colloque de la société des neurosciences, May 2015, Montpellier, France
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hal-01235318v1  Communication dans un congrès
Rodrigo Cofre, Bruno Cessac. Spatio-Temporal Linear Response of Spiking Neuronal Network Models
ISCLANE 15, Sep 2015, Barcelone, Spain
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hal-01235324v1  Poster
Gerrit Hilgen, Samantha Softley, Daniela Pamplona, Pierre Kornprobst, Bruno Cessac et al.  The effect of retinal GABA Depletion by Allylglycine on mouse retinal ganglion cell responses to light
European Retina Meeting, Oct 2015, Brigthon, United Kingdom
hal-01246092v1  Communication dans un congrès
Bruno Cessac. Statistical analysis of spike trains in neuronal networks
Neuroscience and modellint, Dec 2015, Paris, France
hal-01095606v1  Communication dans un congrès
Bruno Cessac, Rodrigo Cofre. Statistical analysis of spike trains in neuronal networks
MATHSTATNEURO Workshop, Jun 2014, Copenhague, Denmark
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hal-01095760v1  Poster
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-01095746v1  Communication dans un congrès
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/>
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hal-01095781v1  Poster
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-01095605v1  Communication dans un congrès
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-01095600v1  Communication dans un congrès
Bruno Cessac. Neural Networks Dynamics
LACONEU 2014, Jan 2014, Valparaiso, Chile. 2014
hal-01225622v1  Communication dans un congrès
Bruno Cessac, Jérémie Naudé, Hugues Berry, Bruno Delord. Control of recurrent neural network dynamics by homeostatic intrinsic plasticity
Workshop on neural population dynamics, Feb 2015, Gif sur Yvette, France
hal-01235311v1  Communication dans un congrès
Bruno Cessac. Mean Field TheoriesNeuroscience
QFT methods in stochastic nonlinear dynamics, Mar 2015, Bielefeld, Germany
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hal-00861397v4  Pré-publication, Document de travail
Rodrigo Cofre, Bruno Cessac. Exact computation of the Maximum Entropy Potential of spiking neural networks models
2014
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hal-00861405v1  Documents associés à des manifestations scientifiques -- Hal-inria+
Bruno Cessac, Rodrigo Cofre. Space-time correlations in spike trains and the neural code
MATHEMATICS AND NEUROSCIENCE A DIALOGUE, Sep 2013, Utrecht, Netherlands
hal-00851436v1  Communication dans un congrès
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
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hal-00850109v1  Poster
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
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hal-00850107v1  Poster
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
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