Bruno Cessac

210

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Publications

	How does the inner retinal network shape the ganglion cells receptive field : a computational study Kartsaki Evgenia , Hilgen Gerrit , Sernagor Evelyne , Bruno Cessac Neural Computation, inPress Article dans une revue hal-04161982v1
	The non linear dynamics of retinal waves Bruno Cessac , Dora Matzakou-Karvouniari Physica D: Nonlinear Phenomena, 2022, ⟨10.1016/j.physd.2022.133436⟩ Article dans une revue hal-03485137v2
	Receptive field estimation in large visual neuron assemblies using a super-resolution approach Daniela Pamplona , Gerrit Hilgen , Matthias H Hennig , Bruno Cessac , Evelyne Sernagor Journal of Neurophysiology, 2022, 127 (5), pp.1334--1347. ⟨10.1152/jn.00076.2021⟩ Article dans une revue hal-03564179v1
	Retinal processing: insights from mathematical modelling Bruno Cessac Journal of Imaging, 2022, Special Issue Mathematical Modeling of Human Vision and Its Application to Image Processing, 8 (1), pp.14. ⟨10.3390/jimaging8010014⟩ Article dans une revue hal-03454859v2
	A novel approach to the functional classification of retinal ganglion cells Gerrit Hilgen , Evgenia Kartsaki , Viktoriia Kartysh , Bruno Cessac , Evelyne Sernagor Open Biology, 2022, Open Biol., 12 (210367), ⟨10.1101/2021.05.09.443323⟩ Article dans une revue hal-03223562v1
	Linear response for spiking neuronal networks with unbounded memory Bruno Cessac , Ignacio Ampuero , Rodrigo Cofré Entropy, 2021, 23 (2), pp.155. ⟨10.3390/e23020155⟩ Article dans une revue hal-01895095v2
	On the potential role of lateral connectivity in retinal anticipation Selma Souihel , Bruno Cessac Journal of Mathematical Neuroscience, 2021, 11, ⟨10.1186/s13408-020-00101-z⟩ Article dans une revue hal-02929183v2
	Ghost Attractors in Spontaneous Brain Activity: Recurrent Excursions Into Functionally-Relevant BOLD Phase-Locking States Jakub Vohryzek , Gustavo Deco , Bruno Cessac , Morten Kringelbach , Joana Cabral Frontiers in Systems Neuroscience, 2020, 14, ⟨10.3389/fnsys.2020.00020⟩ Article dans une revue hal-02546167v1
	Thermodynamic Formalism in Neuronal Dynamics and Spike Train Statistics Rodrigo Cofré , Cesar Maldonado , Bruno Cessac Entropy, 2020, Entropy, 22, pp.1330 Article dans une revue hal-03015686v1
	A biophysical model explains the spontaneous bursting behavior in the developing retina. Dora Matzakos-Karvouniari , Lionel Gil , Elaine Orendorff , Olivier Marre , Serge Picaud Scientific Reports, 2019, 9 (1), pp.1853. ⟨10.1038/s41598-018-38299-4⟩ Article dans une revue hal-02045700v1
	Linear response in neuronal networks: from neurons dynamics to collective response Bruno Cessac Chaos: An Interdisciplinary Journal of Nonlinear Science, 2019, 29 (103105), ⟨10.1063/1.5111803⟩ Article dans une revue hal-02280089v1
	A biophysical model explains the oscillatory behaviour of immature starburst amacrine cells Dora Karvouniari , Lionel Gil , Olivier Marre , Serge Picaud , Bruno Cessac Scientific Reports, In press Article dans une revue hal-01484133v2
	On the mathematical consequences of binning spike trains Bruno Cessac , Arnaud Le Ny , Eva Löcherbach Neural Computation, 2017, 29 (1), pp.146-170 Article dans une revue hal-01351964v1
	Pan-retinal characterisation of Light Responses from Ganglion Cells in the Developing Mouse Retina Gerrit Hilgen , Sahar Pirmoradian , Daniela Pamplona , Pierre Kornprobst , Bruno Cessac Scientific Reports, 2017, 7 Article dans une revue hal-01589946v1
	PRANAS: A New Platform for Retinal Analysis and Simulation Bruno Cessac , Pierre Kornprobst , Selim Kraria , Hassan Nasser , Daniela Pamplona Frontiers in Neuroinformatics, 2017, 11, pp.49 Article dans une revue hal-01588737v1
	Perspectives on Multi-Level Dynamics Fatihcan M Atay , Sven Banisch , Philippe Blanchard , Bruno Cessac , Eckehard Olbrich Discontinuity, Nonlinearity, and Complexity, 2016, 5, pp.313 - 339. ⟨10.5890/DNC.2016.09.009⟩ Article dans une revue hal-01387733v1
	Parameter Estimation for Spatio-Temporal Maximum Entropy Distributions: Application to Neural Spike Trains Hassan Nasser , Bruno Cessac Entropy, 2014, 16 (4), pp.2244-2277. ⟨10.3390/e16042244⟩ Article dans une revue hal-01096213v1
	Exact computation of the Maximum Entropy Potential of spiking neural networksmodels Rodrigo Cofre , Bruno Cessac Physical Review E , 2014, 89 (052117), pp.13 Article dans une revue hal-01095599v1
	Spatio-temporal spike train analysis for large scale networks using the maximum entropy principle and Monte Carlo method Hassan Nasser , Olivier Marre , Bruno Cessac Journal of Statistical Mechanics: Theory and Experiment, 2013, 2013 (03), pp.P03006. ⟨10.1088/1742-5468/2013/03/P03006⟩ Article dans une revue hal-00846160v1
	Effects of Cellular Homeostatic Intrinsic Plasticity on Dynamical and Computational Properties of Biological Recurrent Neural Networks. Jérémie Naudé , Bruno Cessac , Hugues Berry , Bruno Delord Journal of Neuroscience, 2013, 33 (38), pp.15032-15043. ⟨10.1523/JNEUROSCI.0870-13.2013⟩ Article dans une revue hal-00844218v1
	Spike train statistics and Gibbs distributions Bruno Cessac , Rodrigo Cofre Journal of Physiology - Paris, 2013, 107 (5), pp.360-368 Article dans une revue hal-00850155v1
	Dynamics and spike trains statistics in conductance-based Integrate-and-Fire neural networks with chemical and electric synapses Rodrigo Cofré , Bruno Cessac Chaos, Solitons & Fractals, 2013, 50, pp.13-31. ⟨10.1016/j.chaos.2012.12.006⟩ Article dans une revue hal-00846091v1
	Parameters estimation in spiking neural networks: a reverse-engineering approach Horacio Rostro-Gonzalez , Bruno Cessac , Thierry Viéville Journal of Neural Engineering, 2012, 9 (2), pp.026024. ⟨10.1088/1741-2560/9/2/026024⟩ Article dans une revue hal-00845594v1
	Gibbs distribution analysis of temporal correlations structure in retina ganglion cells Juan Carlos Vasquez , Olivier Marre , Adrian Palacios , Michael J. Berry Ii , Bruno Cessac Journal of Physiology - Paris, 2012, 106 (3-4), pp.120-127. ⟨10.1016/j.jphysparis.2011.11.001⟩ Article dans une revue hal-00846132v1
	Statistics of spike trains in conductance-based neural networks: Rigorous results Bruno Cessac Journal of Mathematical Neuroscience, 2011, 1 (1), pp.8 Article dans une revue hal-00640501v2
	A discrete time neural network model with spiking neurons II. Dynamics with noise Bruno Cessac Journal of Mathematical Biology, 2011, 62, pp.863-900. ⟨10.1007/s00285-010-0358-4⟩ Article dans une revue inria-00530115v1
	The role of the asymptotic dynamics in the design of FPGA-based hardware implementations of gIF-type neural networks Horacio Rostro , Bruno Cessac , Bernard Girau , César Torres-Huitzil Journal of Physiology - Paris, 2011, 105 (1-3), pp.91-97. ⟨10.1016/j.jphysparis.2011.09.004⟩ Article dans une revue hal-00642997v1
	Overview of facts and issues about neural coding by spikes Bruno Cessac , Hélène Paugam-Moisy , Thierry Viéville Journal of Physiology - Paris, 2010, 104 (1-2), pp.5-18. ⟨10.1016/j.jphysparis.2009.11.002⟩ Article dans une revue inria-00407915v1
	Du chaos dans les neurones Bruno Cessac , Hugues Berry Interstices, 2010 Article dans une revue hal-01350194v1
	A view of Neural Networks as dynamical systems Bruno Cessac International journal of bifurcation and chaos in applied sciences and engineering , 2010, 20 (6), pp.1585-1629. ⟨10.1142/S0218127410026721⟩ Article dans une revue inria-00534326v1
	Back-engineering of spiking neural networks parameters Horacio Rostro-Gonzalez , Bruno Cessac , Juan Carlos Vasquez , Thierry Viéville BMC Neuroscience, 2009, 10 (Suppl 1), pp.P289 Article dans une revue hal-00784453v1
	How Gibbs Distributions May Naturally Arise from Synaptic Adaptation Mechanisms. A Model-Based Argumentation Bruno Cessac , Horacio Rostro , Juan Carlos Vasquez , Thierry Viéville Journal of Statistical Physics, 2009, Journal of Statistical Physics, 136 (3), pp.565-602. ⟨10.1007/s10955-009-9786-1⟩ Article dans une revue inria-00407905v1
	Idée reçue : Grâce à la simulation, on peut tout prédire Bruno Cessac Interstices, 2009 Article dans une revue hal-01350382v1
	How Gibbs distributions may naturally arise from synaptic adaptation mechanisms Juan Vasquez , Bruno Cessac , Horacio Rostro-Gonzalez , Thierry Viéville BMC Neuroscience, 2009, 10 (Suppl 1), pp.P213. ⟨10.1007/s10955-009-9786-1⟩ Article dans une revue hal-00784452v1
	Parametric estimation of spike train statistics Bruno Cessac , Thierry Viéville BMC Neuroscience, 2009, 10 (Suppl 1), pp.P165 Article dans une revue hal-00784454v1
	A discrete time neural network model with spiking neurons. Rigorous results on the spontaneous dynamics Bruno Cessac Journal of Mathematical Biology, 2008, 56 (3), pp.311-345 Article dans une revue inria-00423350v1
	A mathematical analysis of the effects of Hebbian learning rules on the dynamics and structure of discrete-time random recurrent neural networks. Benoit Siri , Hugues Berry , Bruno Cessac , Bruno Delord , Mathias Quoy Neural Computation, 2008, 20, pp.2937-2966 Article dans une revue inria-00633582v1
	On Dynamics of Integrate-and-Fire Neural Networks with Adaptive Conductances Bruno Cessac , Thierry Viéville Frontiers in Neuroscience, 2008, 2 (2) Article dans une revue inria-00338369v1
	Does the complex susceptibility of the Henon map have a pole in the upper-half plane ? A numerical investigation Bruno Cessac Nonlinearity, 2007, 20, pp.2883-2895. ⟨10.1088/0951-7715/20/12/007⟩ Article dans une revue hal-00188795v1
	Effects of Hebbian learning on the dynamics and structure of random networks with inhibitory and excitatory neurons. Benoît Siri , Mathias Quoy , Bruno Delord , Bruno Cessac , Hugues Berry Journal of Physiology - Paris, 2007, 101 (1-3), pp.136-48. ⟨10.1016/j.jphysparis.2007.10.003⟩ Article dans une revue inria-00633581v1
	Le cerveau est-il un bon modèle de réseau de neurones ? Bruno Cessac , Thierry Viéville , Christine Leininger Interstices, 2007 Article dans une revue hal-01350457v1
	Random Recurrent Neural Networks Dynamics M. Samuelides , Bruno Cessac The European Physical Journal. Special Topics, 2007, "Topics in Dynamical Neural Networks : From Large Scale Neural Networks to Motor Control and Vision", 142 (1), pp.89-122 Article dans une revue inria-00529560v1
	Revisiting time discretisation of spiking network models Bruno Cessac , Thierry Viéville BMC Neuroscience, 2007, 8 (Suppl 2), pp.P76 Article dans une revue hal-00784465v1
	Transmitting a signal by amplitude modulation in a chaotic network Bruno Cessac , J. A. Sepulchre Chaos: An Interdisciplinary Journal of Nonlinear Science, 2006, 16, pp.013104. ⟨10.1063/1.2126813⟩ Article dans une revue hal-00013081v1
	Expectation-driven interaction : a model based on Luhmann's contingency approach Michel Barber , Ph. Blanchard , Eva Buchinger , Bruno Cessac , Ludwig Streit Journal of Artificial Societies and Social Simulation, 2006, 9 (4) Article dans une revue hal-00123621v1
	From Neuron to Neural Networks dynamics Bruno Cessac , M. Samuelides The European Physical Journal. Special Topics, 2006, 142 (1), pp.7-88. ⟨10.1140/epjst/e2007-00058-2⟩ Article dans une revue inria-00529558v1
	Linear response, susceptibility and resonances in chaotic toy models Bruno Cessac , Jacques Alexandre Sepulchre Physica D: Nonlinear Phenomena, 2006, 225, pp.13-28. ⟨10.1016/j.physd.2006.09.034⟩ Article dans une revue hal-00119548v1
	Stable resonances and signal propagation in a chaotic network of coupled units Bruno Cessac , J. A. Sepulchre Physical Review E : Statistical, Nonlinear, and Soft Matter Physics, 2004, 70, pp.056111. ⟨10.1103/PhysRevE.70.056111⟩ Article dans une revue hal-00013127v1
	Self-Organized Criticality and Thermodynamic formalism Bruno Cessac , Ph. Blanchard , T. Krueger , J. L. Meunier Journal of Statistical Physics, 2002, 115 (5-6), pp.1283-1326. ⟨10.1023/B:JOSS.0000028057.16662.89⟩ Article dans une revue inria-00529555v1
	Anomalous scaling and Lee-Yang zeroes in Self-Organized Criticality Bruno Cessac , J. L. Meunier Physical Review E : Statistical, Nonlinear, and Soft Matter Physics, 2002, 65, 036131 (18 p.). ⟨10.1103/PhysRevE.65.036131⟩ Article dans une revue hal-00013140v1
	Lyapunov exponents and transport in the Zhang model of Self-Organized Criticality Bruno Cessac , Ph. Blanchard , T. Krueger Physical Review E : Statistical, Nonlinear, and Soft Matter Physics, 2001, 64, pp.016133 Article dans une revue hal-00134729v1
	What can one learn about Self-Organized Criticality from Dynamical Systems theory ? Ph. Blanchard , Bruno Cessac , T. Krueger Journal of Statistical Physics, 2000, 98 (1-2), pp.375-404. ⟨10.1023/A:1018639308981⟩ Article dans une revue inria-00529554v1
	Self-organization and pattern-induced reduction of dynamics in recurrent networks Emmanuel Daucé , Mathias Quoy , Bruno Cessac , Bernard Doyon , Manuel Samuelides Neural Networks, 1998, 11, pp.521-533 Article dans une revue hal-01416782v1
	Spontaneous dynamics and associative learning in an asymmetric recurrent random neural network Manuel Samuelides , Bernard Doyon , Bruno Cessac , Mathias Quoy Annals of Mathematics and Artificial Intelligence, 1996, pp.312-317 Article dans une revue hal-01416779v1
	Increase in Complexity in Random Neural Networks Bruno Cessac Journal de Physique I, 1995, 5 (3), pp.409-432. ⟨10.1051/jp1:1995135⟩ Article dans une revue jpa-00247065v1

	Temporal pattern recognition in retinal ganglion cells is mediated by dynamical inhibitory synapses Simone Ebert , Thomas Buffet , Semihchan Sermet , Olivier Marre , Bruno Cessac Neuromod Meeting, Jun 2023, Antibes, France Communication dans un congrès hal-04351160v1
	Temporal pattern recognition in retinal ganglion cells is mediated by dynamical inhibitory synapses Simone Ebert , Thomas Buffet , Semihchan Sermet , Olivier Marre , Bruno Cessac Complex Days 2023, Académie Systèmes Complexes, Feb 2023, Nice, France Communication dans un congrès hal-04030986v1
	Remarks on spatio-temporal spike correlations Bruno Cessac Network of Spiking Neurons, Institut Henri Poincaré, Mar 2023, Paris, France Communication dans un congrès hal-04050213v1
	Waves4AI Bruno Cessac AI4Waves, Oct 2022, Sophia-Antipolis, France Communication dans un congrès hal-03807338v1
	Retinal processing: Insights from mathematical modelling Bruno Cessac EURANDOM workshop on Stochastic Models in Life Sciences, Sep 2022, Eindhoven, Netherlands Communication dans un congrès hal-03774467v1
	Linear response for spiking neuronal networks with unbounded memory Bruno Cessac , Rodrigo Cofré , Ignacio Ampuero Dynamics Days Europe, Aug 2020, Nice / Online, France Communication dans un congrès hal-02921842v1
	Random Structures in the retina Bruno Cessac Workshop "Random Polymers and Networks", Sep 2020, Porquerolles, France Communication dans un congrès hal-02929816v1
	Motion anticipation in the retina Bruno Cessac , Selma Souihel NeuroSTIC 2019 - 7e édition des journées NeuroSTIC, Oct 2019, Sophia-Antipolis, France Communication dans un congrès hal-02316888v1
	Modelling of physiological and pathological states in neuroscience: exchanges among theoreticians and experimentalists Bruno Cessac , Massimo Mantegazza NeuroMod 2019 - First meeting of the NeuroMod Institute, Jul 2019, Fréjus, France Communication dans un congrès hal-02171428v1
	Anticipation in the retina and the primary visual cortex : towards an integrated retino-cortical model for motion processing Selma Souihel , Bruno Cessac , Matteo Di Volo , Alain Destexhe , Frederic Chavane Waves Côte d'Azur, Jun 2019, Nice, France Communication dans un congrès hal-02172010v1
	Anticipation in the retina and the primary visual cortex : towards an integrated retino-cortical model for motion processing Selma Souihel , Bruno Cessac ICMNS 2019 - The 5th International Conference on Mathematical NeuroScience, Jun 2019, Copenhague, Denmark Communication dans un congrès hal-02167737v1
	Modelling spontaneous propagating waves in the early retina Bruno Cessac , Dora Matzakos-Karvouniari , Lionel Gil Waves Côte d'azur, Jun 2019, Nice, France Communication dans un congrès hal-02268281v1
	Multi scale dynamics in retinal waves Dora Karvouniari , Lionel Gil , Olivier Marre , Serge Picaud , Bruno Cessac LACONEU 2019 - 5th Latin American Summer School in Computational Neuroscience - Workshop Large Scale Network Dynamics, Jan 2019, Valparaiso, Chile Communication dans un congrès hal-01986989v1
	Anticipation in the retina and the primary visual cortex : towards an integrated retino-cortical model for motion processing Bruno Cessac , Selma Souihel , Matteo Di Volo , Frédéric Chavane , Alain Destexhe Workshop on visuo motor integration, Jun 2019, Paris, France Communication dans un congrès hal-02150600v1
	Probing retinal function with a multi-layered simulator Evgenia Kartsaki , Bruno Cessac , Gerrit Hilgen , Evelyne Sernagor The Rank Prize Funds - Symposium on The retinal processing of natural signals, Jun 2019, Grasmere, United Kingdom Communication dans un congrès hal-02389076v1
	Probing retinal function with a multi-layered simulator Evgenia Kartsaki , Bruno Cessac , Gerrit Hilgen , Evelyne Sernagor NeuroMod 2019 - First meeting of the NeuroMod Institute, Jul 2019, Fréjus, France Communication dans un congrès hal-02389086v1
	Anticipation in the retina and the primary visual cortex : towards an integrated retino-cortical model for motion processing Selma Souihel , Bruno Cessac , Matteo Di Volo , Alain Destexhe , Frederic Chavane NeuroMod 2019 - First meeting of the NeuroMod Institute, Jul 2019, Fréjus, France Communication dans un congrès hal-02172016v1
	Ion channels and properties of large neuronal networks: a computational study of re.nal waves during development D Karvouniari , Lionel Gil , Olivier Marre , Serge Picaud , Bruno Cessac Symposium on Ion channels and Channelopathies - IPMC, Nov 2018, Sophia Antipolis, France Communication dans un congrès hal-01925829v1
	Multi scale dynamics in retinal waves Bruno Cessac , Dora Karvouniari , Lionel Gil , Olivier Marre , Serge Picaud Inspire New Insights on Complex Neural Dynamics, Jun 2018, Cergy-Pontoise, France Communication dans un congrès hal-01816919v1
	The retina: a fascinating object of study for a physicist Bruno Cessac Université Côte d'Azur Complex Days, M. Argentina; S. Barland; P. Reynaud-Bouret; F. Cauneau; K. Guillouzouic; U. Kuhl; T. Passot; F. Planchon, Jan 2018, Nice, France. pp.35-44 Communication dans un congrès hal-02006662v1
	Biovision team Helping visually impaired people Multi scale modeling of the retina Bruno Cessac UCA Complex Days, Jan 2018, Nice, France Communication dans un congrès hal-01895097v1
	Linear Response of General Observables in Spiking Neuronal Network Models Bruno Cessac , Rodrigo Cofré ICMNS 2018 - 4th International Conférence on Mathematical Neuroscience, Jun 2018, Juan les Pins, France. pp.1-70 Communication dans un congrès hal-01816920v1
	Multi scale dynamics in retinal waves Bruno Cessac , Dora Karvouniari , Lionel Gil 2 nd Systems Biology meeting at Sorbonne University., Dec 2017, Paris, France. pp.1-89 Communication dans un congrès hal-01644398v1
	Gibbs distribution: from neural network dynamics to spike train statistics estimation Bruno Cessac Advanced theoretical approaches to collective network phenomena: Bernstein Conference Satellite Workshop, Sep 2017, Goettingen, Germany Communication dans un congrès hal-01626784v1
	Handling spatio-temporal correlations in neuronal systems Bruno Cessac LACONEU 2017 - Computational Neuroscience Summer School, Jan 2017, Valparaiso, Chile Communication dans un congrès hal-01626754v1
	Statistical analysis of retinal responses Bruno Cessac Random Structures on the Brain 2017, Dec 2017, Leiden, Netherlands. pp.1-122 Communication dans un congrès hal-01644408v1
	Multi scale dynamics in retinal waves Dora Karvouniari , Lionel Gil , Olivier Marre , Serge Picaud , Bruno Cessac C@UCA 2017 Meeting, Jun 2017, Fréjus, France Communication dans un congrès hal-01626772v1
	Multi scale dynamics in retinal waves Dora Karvouniari , Lionel Gil , Olivier Marre , Bruno Cessac Brain Dynamics on Multiple Scales - Paradigms, their Relations, and Integrated Approaches, Jun 2017, Dresde, Germany Communication dans un congrès hal-01626779v1
	Multi scale dynamics in retinal waves Bruno Cessac , Dora Karvouniari , Lionel Gil Winter School on Deterministic and Stochastic Models in Neuroscience, Toulous, Dec 2017, Toulouse, France. pp.1-89 Communication dans un congrès hal-01644404v1
	A new nonconvex variational approach for sensory neurons receptive field estimation Audric Drogoul , Gilles Aubert , Bruno Cessac , Pierre Kornprobst 6th International Workshop on New Computational Methods for Inverse Problems , May 2016, Cachan, France. pp.12006, ⟨10.1088/1742-6596/756/1/012006⟩ Communication dans un congrès hal-01379952v1
	Mathematical and experimental studies on retinal waves Dora Karvouniari , Lionel Gil , Olivier Marre , Serge Picaud , Bruno Cessac 2nd International Conference on Mathematical Neuroscience (ICMNS), May 2016, Juan les Pins, France Communication dans un congrès hal-01324365v1
	Mean Field Methods in Neuroscience Bruno Cessac Dynamics of Multi-Level Systems, Jun 2015, Dresde, Germany Communication dans un congrès hal-01235314v1
	Spatio-Temporal Linear Response of Spiking Neuronal Network Models Rodrigo Cofre , Bruno Cessac ISCLANE 15, Sep 2015, Barcelone, Spain Communication dans un congrès hal-01235318v1
	Statistical models for spike trains analysis in the retina. Bruno Cessac 12eme Colloque de la société des neurosciences, May 2015, Montpellier, France Communication dans un congrès hal-01235313v1
	Statistical analysis of spike trains in neuronal networks Bruno Cessac Neuroscience and modellint, Dec 2015, Paris, France Communication dans un congrès hal-01246092v1
	Confronting mean-field theories to measurements a perspective from neuroscience Bruno Cessac Confronting mean-field theories to measurements a perspective from neuroscience, Jan 2015, Paris, France Communication dans un congrès hal-01225619v1
	Control of recurrent neural network dynamics by homeostatic intrinsic plasticity Bruno Cessac , Jérémie Naudé , Hugues Berry , Bruno Delord Workshop on neural population dynamics, Feb 2015, Gif sur Yvette, France Communication dans un congrès hal-01225622v1
	Biophysical reaction-diffusion model for stage II retinal waves and bifurcations analysis Dora Karvouniari , Lionel Gil , Bruno Cessac MathStatNeuro workshop, Sep 2015, Nice, France Communication dans un congrès hal-01211548v1
	Mean Field TheoriesNeuroscience Bruno Cessac QFT methods in stochastic nonlinear dynamics, Mar 2015, Bielefeld, Germany Communication dans un congrès hal-01235311v1
	Neural Networks Dynamics Bruno Cessac LACONEU 2014, Jan 2014, Valparaiso, Chile Communication dans un congrès hal-01095600v1
	Statistical analysis of spike trains in neuronal networks Bruno Cessac , Rodrigo Cofre MATHSTATNEURO Workshop, Jun 2014, Copenhague, Denmark Communication dans un congrès hal-01095606v1
	Effects of Cellular Homeostatic Intrinsic Plasticity on Dynamical and Computational Properties of Biological Recurrent Neural Networks Jeremie Naudé , Bruno Cessac , Hugues Berry , Bruno Delord LACONEU 2014, Jan 2014, Valparaiso, Chile. 1 page Communication dans un congrès hal-01095601v1
	De la rétine à la physique statistique Bruno Cessac 4 ème journée de la physique niçoise, Jun 2014, Sophia Antipolis, France Communication dans un congrès hal-01095605v1
	Spike train statistics: from mathematical models to software to experiments Bruno Cessac 6th Workshop in Computational Neuroscience in Marseille, Mar 2014, Marseille, France Communication dans un congrès hal-01095746v1
	Can we hear the shape of a Maximum Entropy potential from a spike train? Bruno Cessac , Rodrigo Cofre Bernstein Conference, Sep 2013, Tübingen, Germany Communication dans un congrès hal-00851436v1
	Spike trains analysis, Gibbs distributions and (Variable Length ?) Markov chains Bruno Cessac VLMC days, 5-6 March 2013, Mar 2013, Dijon, France Communication dans un congrès hal-00845619v1
	Spike train statistics in neural network: exact results Bruno Cessac Neural Coding and Natural Image Statistics 9-13 January 2012, Valparaiso, Chile, 2012, Valparaiso, Chile Communication dans un congrès hal-00845599v1
	On the ubiquity of Gibbs distributions in spike train statistics Bruno Cessac , Rodrigo Cofré , Hassan Nasser 3rd annual meeting of the GDR 2904 "Multi-electroides systems and signal processing to study neural networks", Marseille, 2012, Marseille, France Communication dans un congrès hal-00849937v1
	Spike trains statistics and Gibbs distributions Bruno Cessac Probabilistic structures of the brain, Cergy, December 13-14, 2012, 2012, Cergy, France Communication dans un congrès hal-00845601v1
	Spatio temporal Gibbs distribution analysis of spike trains using Monte Carlo method Hassan Nasser , Olivier Marre , Michael J. Berry Ii , Bruno Cessac AREADNE 2012 Research in Encoding And Decoding of Neural Ensembles, Jun 2012, Santorini, Greece Communication dans un congrès hal-00849944v1
	Analyzing large-scale spike trains data with spatio-temporal constraints Hassan Nasser , Olivier Marre , Bruno Cessac Sensory Coding and Natural Environment, Sep 2012, Wien, Austria Communication dans un congrès hal-00850091v1
	Lecture on spike train statistics: beyond the maximal entropy models Bruno Cessac Neural Coding and Natural Image Statistics 9-13 January 2012, Valparaiso, Chile, 2012, Valparaiso, Chile Communication dans un congrès hal-00845598v1
	Gibbs distributions and statistics of action potentials in neural networks. Bruno Cessac CHAOS, COMPLEXITY and DYNAMICS in BIOLOGICAL NETWORKS, Cargèse May 2012, 2012, Cargèse, France Communication dans un congrès hal-00845600v1
	Dynamics and spike trains statistics in conductance-based Integrate-and-Fire neural networks with chemical and electric synapses Rodrigo Cofré , Bruno Cessac AREADNE 2012. Encoding And Decoding of Neural Ensembles, Jun 2012, Santorini, Greece Communication dans un congrès hal-00850100v1
	Analyzing large-scale spike trains data with spatio-temporal constraints Hassan Nasser , Olivier Marre , Selim Kraria , Thierry Viéville , Bruno Cessac 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 Communication dans un congrès hal-00756467v1
	Using event-based metric for event-based neural network weight adjustment Bruno Cessac , Rodrigo Salas , Thierry Viéville 20th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Apr 2012, Bruges, Belgium. 18 pp Communication dans un congrès hal-00755345v1
	Spike trains statistics and Gibbs distributions Bruno Cessac Conférence Dynamics of Complex Systems, Sep 2011, Cergy, France Communication dans un congrès hal-00845729v1
	Comportements émergents dans les réseaux de neurones. Bruno Cessac Berder 2011 Coopérativité et singularité en biologie 3 - 9 avril 2011, 2011, Ile de Berder, France Communication dans un congrès hal-00845731v1
	Neural networks: some results about (i) Spike train statistics ; (ii) Linear response theory. Bruno Cessac Mean-Field methods and multiscale analysis in neuronal populations, Marseille, 03-07 October 2011, 2011, Marseille, France Communication dans un congrès hal-00845730v1
	Statistics of action potentials in neural networks: from experiments to mathematics Bruno Cessac Stochastic Dynamics in Mathematics, Physics and Engineering, Bielefeld 1-4 November, 2011, Bielefeld, Germany Communication dans un congrès hal-00845728v1
	Spike trains statistics in integrate and fire models: exact results. Bruno Cessac , Hassan Nasser , Juan Carlos Vasquez Cinquième conférence plénière française de Neurosciences Computationnelles, "Neurocomp'10", Aug 2010, Lyon, France Communication dans un congrès hal-00553403v1
	Parametric estimation of spike train statistics by Gibbs distributions : an application to bio-inspired and experimental data Bruno Cessac , Juan Carlos Vasquez , Hassan Nasser , Horacio Rostro-Gonzalez , Thierry Viéville Cinquième conférence plénière française de Neurosciences Computationnelles, "Neurocomp'10", Aug 2010, Lyon, France Communication dans un congrès hal-00553441v1
	Statistical analysis of spike trains. Bruno Cessac , Juan-Carlos Vasquez , Thierry Viéville Workshop on Spike Train Measures and Their Applications to Neural Coding, Jun 2010, Plymouth, United Kingdom Communication dans un congrès hal-00847436v1
	Toward a realistic input for visual cortex models Hassan Nasser , Bruno Cessac , Bogdan Kolomiets , Pierre Kornprobst , Serge Picaud Timing Issues in the Specification and Synthesis of Digital Systems (TAU Workshop), Mar 2010, San Francisco, CA, United States Communication dans un congrès hal-00847449v1
	Statistics of spike trains: A dynamical systems perspective Bruno Cessac , Horacio Rostro , Juan-Carlos Vasquez , Thierry Viéville Stochastic models in neuroscience, Jan 2010, Marseille, France Communication dans un congrès hal-00847435v1
	Statistical analysis of spike trains Bruno Cessac Workshop School Chaos and Dynamics in Biological Networks, 2010, Unknown Communication dans un congrès hal-00847438v1
	How Gibbs Distributions may naturally arise from synaptic adaptation mechanisms Bruno Cessac , Juan Carlos Vasquez , Horacio Rostro , Thierry Viéville Eighteenth Annual Computational Neuroscience Meeting CNS2009, 2009, Berlin, Germany Communication dans un congrès inria-00407910v1*
	Back-engineering of spiking neural networks parameters Horacio Rostro , Bruno Cessac , Juan Carlos Vasquez , Thierry Viéville Eighteenth Annual Computational Neuroscience Meeting CNS2009, 2009, Berlin, Germany Communication dans un congrès inria-00407911v1*
	Parametric Estimation of spike train statistics Bruno Cessac , Juan Carlos Vasquez , Thierry Viéville Eighteenth Annual Computational Neuroscience Meeting CNS2009, 2009, Berlin, Germany Communication dans un congrès inria-00407913v1*
	Gibbs Distributions and STDP: An study case on recurrent Neural Networks Juan Carlos Vasquez , Bruno Cessac , Horacio Rostro , Thierry Viéville Neurocomp'09, 2009, Bordeaux, France Communication dans un congrès inria-00437205v1
	On deterministic reservoir computing: network complexity and algorithm Horacio Rostro , Bruno Cessac , Juan Carlos Vasquez , Thierry Viéville Neurocomp'09, 2009, Bordeaux, France Communication dans un congrès inria-00437203v1
	Neurosciences Computationelles: le cerveau est il un bon modèle de réseaux de neurones ? Frédéric Alexandre , Bruno Cessac , Thierry Viéville Séminaire Algorithmique et Programmation des Professeurs de Mathématiques en Classes Préparatoires, May 2008, Marseille, France Communication dans un congrès inria-00338371v1
	Statistics of spikes trains, synaptic plasticity and Gibbs distributions. Bruno Cessac , Horacio Rostro , Juan Carlos Vasquez , Thierry Viéville Deuxième conférence française de Neurosciences Computationnelles, "Neurocomp08", Oct 2008, Marseille, France Communication dans un congrès hal-00331541v1
	To which extend is the "neural code'' a metric ? Bruno Cessac , Horacio Rostro , Juan Carlos Vasquez , Thierry Viéville Deuxième conférence française de Neurosciences Computationnelles, "Neurocomp08", Oct 2008, Marseille, France Communication dans un congrès hal-00331567v1
	Topological and dynamical structures induced by Hebbian learning in random neural networks Benoit Siri , Hugues Berry , Bruno Cessac , Bruno Delord , Mathias Quoy ECCS, 2007, Dresde, Germany Communication dans un congrès hal-03712545v1
	Topological and dynamical structures induced by Hebbian learning in random neural networks Benoit Siri , Hugues Berry , Bruno Cessac , Bruno Delord , Mathias Quoy ICCS, Jun 2006, Boston, United States Communication dans un congrès hal-03712537v1
	Some fractal aspects of Self-Organized Criticality Bruno Cessac Fractales en progres, Nov 2003, Paris, France Communication dans un congrès inria-00529556v1

	Retino-cortical computational model to study suppressives waves in fast motions Jérôme Emonet , Bruno Cessac , Alain Destexhe , Frédéric Chavane , Matteo Di Volo Neuromod meeting 2023, Jun 2023, Antibes, France Poster de conférence hal-04206309v1
	A retino-cortical computational model to study suppressive cortical waves in saccades Jérôme Emonet , Bruno Cessac , Alain Destexhe , Frédéric Chavane , Matteo Di Volo GDR NeuralNet 2023 Meeting, Oct 2023, Marseille (13), France Poster de conférence hal-04244508v1
	Temporal Pattern Recognition in Retinal Ganglion Cells is mediated by Dynamical Inhibitory Synapses Simone Ebert , Thomas Buffet , B Semihchan Sermet , Olivier Marre , Bruno Cessac COSYNE 2023 - Computational and Systems Neuroscience, Mar 2023, Montreal, Canada Poster de conférence hal-04160883v1
	Temporal Pattern Recognition in Retinal Ganglion Cells is mediated by Dynamical Inhibitory Synapses Simone Ebert , Thomas Buffet , Berat Semihchan Sermet , Olivier Marre , Bruno Cessac ERM 2023 - European Retina Meeting 2023, Sep 2023, Tuebingen, Germany. , 2023 Poster de conférence hal-04351175v1
	Dynamical Synapses in Retinal Surprise coding Thomas Buffet , Semihchan Sermet , Olivier Marre , Bruno Cessac , Simone Bertoli ICMNS 2022 - 2022 International Conference on Mathematical Neuroscience, Jul 2022, online, France. Poster de conférence hal-03716437v1
	The Role of Dynamical Synapses in Retinal Surprise Coding Simone Ebert , Thomas Buffet , Semichan Sermet , Olivier Marre , Bruno Cessac NEUROMOD Meeting 2022, Jun 2022, Antibes, France Poster de conférence hal-03698058v1
	The Role of Dynamical Synapses in Retinal Surprise Coding Simone Ebert , Thomas Buffet , Semichan Sermet , Olivier Marre , Bruno Cessac Dendrites 2022 - Dentritic, anatomy, molecules and functions - Embo workshop, May 2022, Heraklion, Greece Poster de conférence hal-03697945v1
	The Role of Dynamical Synapses in Retinal Surprise Coding Simone Ebert , Thomas Buffet , Semichan Sermet , Olivier Marre , Bruno Cessac AREADNE 2022 Conference : Research in Encoding And Decoding of Neural Ensembles, Jun 2022, Fira, Greece. Poster de conférence hal-03697955v1
	The Role of Dynamical Synapses in Retinal Surprise Coding Simone Ebert , Semichan Sermet , Thomas Buffet , Olivier Marre , Bruno Cessac MOMI2021: Le Monde des Mathematiques Industrielles, Mar 2021, Virtual, France Poster de conférence hal-03521415v1
	Dynamical Synapses in Retinal Surprise coding Simone Ebert , Semihchan Sermet , Thomas Buffet , Bruno Cessac , Olivier Marre Neuromod Inaurguration Day, Mar 2021, online, France Poster de conférence hal-03521429v1
	Simulating the cortical activity evoked by artificial retinal implants Teva Andréoletti , Frederic Chavane , Sébastien Roux , Bruno Cessac NeuroMod 2019 - First meeting of the NeuroMod Institute, Jul 2019, Fréjus, France Poster de conférence hal-02167729v1
	Probing retinal function with a multi-layered simulator Evgenia Kartsaki , Gerrit Hilgen , Bruno Cessac , Evelyne Sernagor ERM 2019 - The European retina meeting, Sep 2019, Helsinki, Finland Poster de conférence hal-02389096v1
	Processing various motion features and measuring RGCs pairwise correlations with a 2D retinal model Selma Souihel , Frederic Chavane , Olivier Marre , Bruno Cessac AREADNE 2018 Research in Encoding And Decoding of Neural Ensembles, Jun 2018, Santorini, Greece Poster de conférence hal-01866259v1
	Biovision project-team Bruno Cessac , Pierre Kornprobst , Marco Benzi , Ilian Caugant , Dora Karvouniari Fête de la science, Oct 2018, Sophia-Antipolis, France Poster de conférence hal-01896505v1
	How specific classes of retinal cells contribute to vision: A Computational Model Evgenia Kartsaki , Bruno Cessac , Gerrit Hilgen , Evelyne Sernagor C@uca 2018 Meeting, Jun 2018, Fréjus, France Poster de conférence hal-01816921v1
	Processing various motion features and measuring RGCs pairwise correlations with a 2D retinal model Selma Souihel , Frédéric Chavane , Olivier Marre , Bruno Cessac International Conference on Mathematical Neuroscience ICMNS 2018, Jun 2018, Juan les Pins, France Poster de conférence hal-01809589v1
	Pattern formation and criticality in the developing retina Dora Karvouniari , Lionel Gil , Olivier Marre , Serge Picaud , Bruno Cessac International Conference on Mathematical Neuroscience, Jun 2018, Juan-Les-Pins, France Poster de conférence hal-01807929v1
	A computational study of anticipation in the retina Selma Souihel , Bruno Cessac Bernstein conference 2018, Sep 2018, Berlin, Germany Poster de conférence hal-01942516v1
	Motion processing in the retina Selma Souihel , Bruno Cessac GDR multielectrodes , Nov 2017, Strasbourg, France Poster de conférence hal-01638105v1
	Following stage II retinal waves during development with a biophysical model Dora Karvouniari , Lionel Gil , Olivier Marre , Serge Picaud , Bruno Cessac Bernstein Conference 2017, Sep 2017, Gottingen, Germany. pp.1 Poster de conférence hal-01638098v1
	Following stage II retinal waves during development with a biophysical model Dora Karvouniari , Lionel Gil , Olivier Marre , Serge Picaud , Bruno Cessac International retina meeting, Oct 2017, Paris, France Poster de conférence hal-01638100v1
	How does the retina anticipate the motion of complex shapes ? Selma Souihel , Bruno Cessac Bernstein conférence, Sep 2017, Goettingen, Germany Poster de conférence hal-01638102v1
	Modifying a biologically inspired retina simulator to reconstruct realistic responses to moving stimuli Selma Souihel , Bruno Cessac Conference Cauca, Jun 2017, Fréjus, France Poster de conférence hal-01638104v1
	Spike train analysis and Gibbs distributions Rodrigo Cofre , Bruno Cessac Bernstein Conference 2016, Sep 2016, Berlin, Germany Poster de conférence hal-01378001v1
	Dimensionality Reduction in spatio-temporal MaxEnt models and analysis of Retinal Ganglion Cell Spiking Activity in experiments Rubén Herzog , Maria-Jose Escobar , Adrian Palacios , Bruno Cessac Bernstein Conference 2016 , Sep 2016, Berlin, Germany. Poster de conférence hal-01377370v1
	ENAS: A new software for spike train analysis and simulation Bruno Cessac , Pierre Kornprobst , S. Kraria , H. Nasser , Daniela Pamplona Bernstein conference, Sep 2016, Berlin, Germany. Poster de conférence hal-01368757v1
	Classifying the spatiotemporal patterns within stage II retinal waves through dynamical systems analysis Dora Karvouniari , Lionel Gil , Olivier Marre , Serge Picaud , Bruno Cessac Bernstein Conference 2016, Sep 2016, Berlin, Germany. 2016 Poster de conférence hal-01371596v1
	A variational approach for receptive field estimation in the nonconvex case Audric Drogoul , Gilles Aubert , Bruno Cessac , Pierre Kornprobst Second International Conference on Mathematical NeuroScience (ICMNS), May 2016, Juan Les Pins, France Poster de conférence hal-01292700v1
	Modeling the emergence of stage II retinal waves in immature retina Dora Karvouniari , Lionel Gil , Olivier Marre , Serge Picaud , Bruno Cessac AREADNE 2016 Research in Encoding And Decoding of Neural Ensembles, Jun 2016, Santorini, Greece. Poster de conférence hal-01339875v1
	Biophysical modelling of the intrinsic mechanisms of the autonomous starbust cells during stage II retinal waves Dora Karvouniari , Lionel Gil , Olivier Marre , Serge Picaud , Bruno Cessac Modelling the early visual system - Workshop, Jan 2016, Paris, France Poster de conférence hal-01256477v1
	Shifting stimulus for faster receptive fields estimation of ensembles of neurons Daniela Pamplona , Bruno Cessac , Pierre Kornprobst Computational and Systems Neuroscience (Cosyne), Mar 2015, Salt Lake City, United States. Poster de conférence hal-01215537v1
	The effect of retinal GABA Depletion by Allylglycine on mouse retinal ganglion cell responses to light Gerrit Hilgen , Samantha Softley , Daniela Pamplona , Pierre Kornprobst , Bruno Cessac European Retina Meeting, Oct 2015, Brigthon, United Kingdom Poster de conférence hal-01235324v1
	Spectral dimension reduction on parametric models for spike train statistics Cesar Ravello , Rubén Herzog , Bruno Cessac , Maria-Jose Escobar , Adrian Palacios 12e Colloque de la Société des Neurosciences , May 2015, Montpellier, France Poster de conférence hal-01246088v1
	A super-resolution approach for receptive fields estimation of neuronal ensembles Daniela Pamplona , Gerrit Hilgen , Sahar Pirmoradian , Matthias H. Hennig , Bruno Cessac Computational Neuroscience (CNS), Jul 2015, Prague, Czech Republic. Poster de conférence hal-01215541v1
	From Habitat to Retina: Neural Population Coding using Natural Movies Rubén Herzog , Joaquin Araya , Michael Pizarro , Bruno Cessac , Cesar Ravello Bernstein Conference 2015, Sep 2014, Goettingen, Germany. Poster de conférence hal-01095781v1
	Can We Hear the Shape of a Maximum Entropy Potential From Spike Trains? Rodrigo Cofre , Bruno Cessac Bernstein Conference 2015, Sep 2014, Goettingen, Germany. Poster de conférence hal-01095760v1
	EnaS: a new software for neural population analysis in large scale spiking networks Hassan Nasser , Selim Kraria , Bruno Cessac Twenty Second Annual Computational Neuroscience Meeting : CNS 2013, Jul 2013, Paris, France. 14 (Suppl 1), pp.P57, 2013 Poster de conférence hal-00842303v1
	Dynamics and spike trains statistics in conductance-based Integrate-and-Fire neural networks with chemical and electric synapses Rodrigo Cofre , Bruno Cessac Twenty Second Annual Computational Neuroscience Meeting : CNS 2013, Jul 2013, Paris, France. 14 (Suppl 1), pp.P58, 2013 Poster de conférence hal-00842297v1
	Beyond dynamical mean-field theory of neural networks Massimiliano Muratori , Bruno Cessac Twenty Second Annual Computational Neuroscience Meeting : CNS 2013, Jul 2013, Paris, France. 14 (Suppl 1), pp.P60, 2013 Poster de conférence hal-00842309v1
	A maximum likelihood estimator of neural network synaptic weights Wahiba Taouali , Bruno Cessac Twenty Second Annual Computational Neuroscience Meeting : CNS 2013, Jul 2013, Paris, France. 14 (Suppl 1), pp.P59, 2013 Poster de conférence hal-00842312v1
	Dynamics and spike trains statistics in conductance-based Integrate-and-Fire neural networks with chemical and electric synapses Rodrigo Cofre , Bruno Cessac AREADNE 2012. Encoding And Decoding of Neural Ensembles, Jun 2012, Santorini, Greece. 2012 Poster de conférence hal-00850107v1
	Role of electric synapses in spike train statistics of integrate and fire neural networks Rodrigo Cofré , Bruno Cessac GDR MEA 2012. Encoding And Decoding of Neural Ensembles, Jun 2012, Marseille, France. 2012 Poster de conférence hal-00850109v1

	The Retina as a Dynamical System Bruno Cessac Recent Trends in Chaotic, Nonlinear and Complex Dynamics., inPress Chapitre d'ouvrage hal-03054473v1
	The retina: a fascinating object of study for a physicist Bruno Cessac UCA COMPLEX DAYS, inPress Chapitre d'ouvrage hal-01807518v1
	Spike Train Statistics from Empirical Facts to Theory: The Case of the Retina Bruno Cessac , Adrian Palacios Frédéric Cazals and Pierre Kornprobst. Modeling in Computational Biology and Biomedicine: A Multidisciplinary Endeavor, Springer, 2013 Chapitre d'ouvrage hal-00640507v1

	Investigating how specific classes of retinal cells contribute to vision with a multi-layered simulator Evgenia Kartsaki , Gerrit Hilgen , Evelyne Sernagor , Bruno Cessac 2020 Autre publication scientifique hal-02994691v1
	A mathematical analysis of the effects of Hebbian learning rules on the dynamics and structure of discrete-time random recurrent neural networks Benoit Siri , Hugues Berry , Bruno Cessac , Bruno Delord , Mathias Quoy 2008 Autre publication scientifique inria-00149181v2
	Effects of Hebbian learning on the dynamics and structure of random networks with inhibitory and excitatory neurons Benoit Siri , Mathias Quoy , Bruno Delord , Bruno Cessac , Hugues Berry 2007 Autre publication scientifique inria-00155580v1

	Temporal pattern recognition in retinal ganglion cells is mediated by dynamical inhibitory synapses Simone Ebert , Thomas Buffet , B. Semihcan Sermet , Olivier Marre , Bruno Cessac 2023 Pré-publication, Document de travail hal-03939794v1
	Noise driven broadening of the neural synchronisation transition in stage II retinal waves Dora Matzakos-Karvouniari , Bruno Cessac , Lionel Gil 2019 Pré-publication, Document de travail hal-02402380v1
	On the role of Nav1.7 sodium channels in chronic pain: an experimental and computational study Alberto Capurro , Jack Thornton , Bruno Cessac , Lyle Armstrong , Evelyne Sernagor 2019 Pré-publication, Document de travail hal-02414907v1
	Dimensionality Reduction on Spatio-Temporal Maximum Entropy Models of Spiking Networks Rubén Herzog , Maria-Jose Escobar , Rodrigo Cofré , Adrian Palacios , Bruno Cessac 2018 Pré-publication, Document de travail hal-01917485v1
	Dimensionality Reduction on Maximum Entropy Models on Spiking Networks Rubén Herzog , Maria-Jose Escobar , Adrian Palacios , Bruno Cessac 2017 Pré-publication, Document de travail hal-01649063v1
	Exact computation of the Maximum Entropy Potential of spiking neural networks models Rodrigo Cofre , Bruno Cessac 2014 Pré-publication, Document de travail hal-00861397v4
	Entropy-based parametric estimation of spike train statistics Juan Carlos Vasquez , Thierry Viéville , Bruno Cessac 2010 Pré-publication, Document de travail inria-00534847v1
	Stochastic firing rate models Jonathan Touboul , Bard Ermentrout , Olivier Faugeras , Bruno Cessac 2010 Pré-publication, Document de travail inria-00534332v1
	Back-engineering of spiking neural networks parameters Horacio Rostro-Gonzalez , Bruno Cessac , Juan Carlos Vasquez , Thierry Viéville 2009 Pré-publication, Document de travail hal-00846118v1
	Are neuronal networks that vicious ? Or only their models ? Bruno Cessac , Thierry Viéville 2007 Pré-publication, Document de travail hal-00176199v1
	Inducing periodicity and chaos by negative feedback Elisabeth Pecou , Bruno Cessac , Guillermo Espinoza 2007 Pré-publication, Document de travail hal-00194648v1
	Are biological neurons that vicious ? Or only their models ? Thierry Viéville , Bruno Cessac 2007 Pré-publication, Document de travail hal-00176200v1
	Numerical evidence of linear response violations in chaotic systems Bruno Cessac 2006 Pré-publication, Document de travail hal-00095877v1
	From Neuron to Neural Networks dynamics Bruno Cessac , M. Samuelides 2006 Pré-publication, Document de travail hal-00095871v1
	Some fractal aspects of Self-Organized Criticality Bruno Cessac 2004 Pré-publication, Document de travail hal-00013082v1

	Large visual neuron assemblies receptive fields estimation using a super-resolution approach Daniela Pamplona , Gerrit Hilgen , Matthias H. Hennig , Bruno Cessac , Evelyne Sernagor [Research Report] RR-9383, Inria - Sophia antipolis. 2020 Rapport hal-03087009v2
	PRANAS: A new platform for retinal analysis and simulation Bruno Cessac , Pierre Kornprobst , Selim Kraria , Hassan Nasser , Daniela Pamplona [Research Report] RR-8958, Inria Sophia Antipolis; Inria Bordeaux Sud-Ouest. 2017, pp.27 Rapport hal-01377307v2
	Pan-retinal characterisation of Light Responses from Ganglion Cells in the Developing Mouse Retina Gerrit Hilgen , Sahar Pirmoradian , Daniela Pamplona , Pierre Kornprobst , Bruno Cessac [Research Report] Institute of Neuroscience, Newcastle University; Institute for Adaptive and Neural Computation, University of Edinburgh; Inria, Neuromathcomp Team. 2016 Rapport hal-01393525v1
	A nonconvex variational approach for receptive field estimation Audric Drogoul , Gilles Aubert , Bruno Cessac , Pierre Kornprobst [Research Report] 8837, Inria Sophia Antipolis. 2016, pp.42 Rapport hal-01279999v3
	Parameters estimation for spatio-temporal maximum entropy distributions: application to neural spike trains. Hassan Nasser , Bruno Cessac [Research Report] 2014 Rapport hal-00927080v1
	Estimating maximum entropy distributions from periodic orbits in spike trains Bruno Cessac , Rodrigo Cofre [Research Report] RR-8329, INRIA. 2013 Rapport hal-00842776v1
	Modeling non-standard retinal in/out function using computer vision variational methods Elaa Teftef , Maria-Jose Escobar , Aland Astudillo , Carlos Carvajal , Bruno Cessac [Research Report] RR-8217, INRIA. 2013, pp.28 Rapport hal-00783091v2
	Floor the Ceil & Ceil the Floor: Revisiting AIMD Evaluation Ashwin Rao , Arnaud Legout , Bruno Cessac , Walid Dabbous [Research Report] 2012 Rapport hal-00733890v1
	Parametric Estimation of Gibbs distributions as generalized maximum-entropy models for the analysis of spike train statistics. Juan Carlos Vasquez , Thierry Viéville , Bruno Cessac [Research Report] RR-7561, INRIA. 2011, pp.54 Rapport inria-00574954v2
	Reverse-engineering in spiking neural networks parameters: exact deterministic parameters estimation Horacio Rostro-Gonzalez , Juan Carlos Vasquez , Bruno Cessac , Thierry Viéville [Research Report] RR-7199, INRIA. 2010, pp.41 Rapport inria-00455415v1
	Introducing numerical bounds to improve event-based neural network simulation Bruno Cessac , Olivier Rochel , Thierry Viéville [Research Report] RR-6924, INRIA. 2009, pp.31 Rapport inria-00382534v1
	A constructive mean field analysis of multi population neural networks with random synaptic weights and stochastic inputs Olivier Faugeras , Jonathan Touboul , Bruno Cessac [Research Report] RR-6454, INRIA. 2008, pp.58 Rapport inria-00258345v3

	Linear response in neuronal networks: from neurons dynamics to collective response Bruno Cessac Doctoral. Chile. 2019 Cours cel-01986987v1
	A mathematical approach to retinal waves Bruno Cessac , Dora Karvouniari Doctoral. Chile. 2017 Cours cel-01626745v1
	Mean-Field Models in neuroscience Bruno Cessac Doctoral. Mean-Field Models in neuroscience., France. 2014 Cours cel-01095603v1

Bruno Cessac

Présentation

Publications

How does the inner retinal network shape the ganglion cells receptive field : a computational study

The non linear dynamics of retinal waves

Receptive field estimation in large visual neuron assemblies using a super-resolution approach

Retinal processing: insights from mathematical modelling

A novel approach to the functional classification of retinal ganglion cells

Linear response for spiking neuronal networks with unbounded memory

On the potential role of lateral connectivity in retinal anticipation

Ghost Attractors in Spontaneous Brain Activity: Recurrent Excursions Into Functionally-Relevant BOLD Phase-Locking States

Thermodynamic Formalism in Neuronal Dynamics and Spike Train Statistics

A biophysical model explains the spontaneous bursting behavior in the developing retina.

Linear response in neuronal networks: from neurons dynamics to collective response

A biophysical model explains the oscillatory behaviour of immature starburst amacrine cells

On the mathematical consequences of binning spike trains

Pan-retinal characterisation of Light Responses from Ganglion Cells in the Developing Mouse Retina

PRANAS: A New Platform for Retinal Analysis and Simulation

Perspectives on Multi-Level Dynamics

Parameter Estimation for Spatio-Temporal Maximum Entropy Distributions: Application to Neural Spike Trains

Exact computation of the Maximum Entropy Potential of spiking neural networksmodels

Spatio-temporal spike train analysis for large scale networks using the maximum entropy principle and Monte Carlo method

Effects of Cellular Homeostatic Intrinsic Plasticity on Dynamical and Computational Properties of Biological Recurrent Neural Networks.

Spike train statistics and Gibbs distributions

Dynamics and spike trains statistics in conductance-based Integrate-and-Fire neural networks with chemical and electric synapses

Parameters estimation in spiking neural networks: a reverse-engineering approach

Gibbs distribution analysis of temporal correlations structure in retina ganglion cells

Statistics of spike trains in conductance-based neural networks: Rigorous results

A discrete time neural network model with spiking neurons II. Dynamics with noise

The role of the asymptotic dynamics in the design of FPGA-based hardware implementations of gIF-type neural networks

Overview of facts and issues about neural coding by spikes

Du chaos dans les neurones

A view of Neural Networks as dynamical systems

Back-engineering of spiking neural networks parameters

How Gibbs Distributions May Naturally Arise from Synaptic Adaptation Mechanisms. A Model-Based Argumentation

Idée reçue : Grâce à la simulation, on peut tout prédire

How Gibbs distributions may naturally arise from synaptic adaptation mechanisms

Parametric estimation of spike train statistics

A discrete time neural network model with spiking neurons. Rigorous results on the spontaneous dynamics

A mathematical analysis of the effects of Hebbian learning rules on the dynamics and structure of discrete-time random recurrent neural networks.

On Dynamics of Integrate-and-Fire Neural Networks with Adaptive Conductances

Does the complex susceptibility of the Henon map have a pole in the upper-half plane ? A numerical investigation

Effects of Hebbian learning on the dynamics and structure of random networks with inhibitory and excitatory neurons.

Le cerveau est-il un bon modèle de réseau de neurones ?

Random Recurrent Neural Networks Dynamics

Revisiting time discretisation of spiking network models

Transmitting a signal by amplitude modulation in a chaotic network

Expectation-driven interaction : a model based on Luhmann's contingency approach

From Neuron to Neural Networks dynamics

Linear response, susceptibility and resonances in chaotic toy models

Stable resonances and signal propagation in a chaotic network of coupled units

Self-Organized Criticality and Thermodynamic formalism

Anomalous scaling and Lee-Yang zeroes in Self-Organized Criticality

Lyapunov exponents and transport in the Zhang model of Self-Organized Criticality

What can one learn about Self-Organized Criticality from Dynamical Systems theory ?

Self-organization and pattern-induced reduction of dynamics in recurrent networks

Spontaneous dynamics and associative learning in an asymmetric recurrent random neural network

Increase in Complexity in Random Neural Networks

Temporal pattern recognition in retinal ganglion cells is mediated by dynamical inhibitory synapses

Temporal pattern recognition in retinal ganglion cells is mediated by dynamical inhibitory synapses

Remarks on spatio-temporal spike correlations

Waves4AI

Retinal processing: Insights from mathematical modelling

Linear response for spiking neuronal networks with unbounded memory

Random Structures in the retina

Motion anticipation in the retina

Modelling of physiological and pathological states in neuroscience: exchanges among theoreticians and experimentalists

Anticipation in the retina and the primary visual cortex : towards an integrated retino-cortical model for motion processing

Anticipation in the retina and the primary visual cortex : towards an integrated retino-cortical model for motion processing

Modelling spontaneous propagating waves in the early retina

Multi scale dynamics in retinal waves

Anticipation in the retina and the primary visual cortex : towards an integrated retino-cortical model for motion processing

Probing retinal function with a multi-layered simulator

Probing retinal function with a multi-layered simulator

Anticipation in the retina and the primary visual cortex : towards an integrated retino-cortical model for motion processing

Ion channels and properties of large neuronal networks: a computational study of re.nal waves during development

Multi scale dynamics in retinal waves

The retina: a fascinating object of study for a physicist

Biovision team Helping visually impaired people Multi scale modeling of the retina

Linear Response of General Observables in Spiking Neuronal Network Models