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Bruno Cessac

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The non linear dynamics of retinal waves

Bruno Cessac , Dora Matzakou-Karvouniari
Physica D: Nonlinear Phenomena, 2022, ⟨10.1016/j.physd.2022.133436⟩
Journal articles hal-03485137v2
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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⟩
Journal articles hal-03454859v2
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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⟩
Journal articles hal-03564179v1

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⟩
Journal articles hal-03223562v1
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Linear response for spiking neuronal networks with unbounded memory

Bruno Cessac , Ignacio Ampuero , Rodrigo Cofré
Entropy, 2021, 23 (2), pp.155. ⟨10.3390/e23020155⟩
Journal articles hal-01895095v2
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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⟩
Journal articles 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⟩
Journal articles hal-02546167v1

Thermodynamic Formalism in Neuronal Dynamics and Spike Train Statistics

Rodrigo Cofré , Cesar Maldonado , Bruno Cessac
Entropy, 2020, Entropy, 22, pp.1330
Journal articles hal-03015686v1
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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⟩
Journal articles hal-02045700v1
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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⟩
Journal articles 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, inPress
Journal articles hal-01484133v2

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
Journal articles hal-01588737v1
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On the mathematical consequences of binning spike trains

Bruno Cessac , Arnaud Le Ny , Eva Löcherbach
Neural Computation, 2017, 29 (1), pp.146-170
Journal articles hal-01351964v1
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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
Journal articles hal-01589946v1
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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⟩
Journal articles hal-01387733v1

Exact computation of the Maximum Entropy Potential of spiking neural networksmodels

Rodrigo Cofre , Bruno Cessac
Physical Review E , 2014, 89 (052117), pp.13
Journal articles hal-01095599v1

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⟩
Journal articles hal-01096213v1
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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⟩
Journal articles hal-00844218v1

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⟩
Journal articles hal-00846160v1

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⟩
Journal articles hal-00846091v1
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Spike train statistics and Gibbs distributions

Bruno Cessac , Rodrigo Cofre
Journal of Physiology - Paris, 2013, 107 (5), pp.360-368
Journal articles hal-00850155v1

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⟩
Journal articles hal-00846132v1

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⟩
Journal articles hal-00845594v1
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Statistics of spike trains in conductance-based neural networks: Rigorous results

Bruno Cessac
Journal of Mathematical Neuroscience, 2011, 1 (1), pp.8
Journal articles hal-00640501v2

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⟩
Journal articles hal-00642997v1

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⟩
Journal articles inria-00530115v1

Du chaos dans les neurones

Bruno Cessac , Hugues Berry
Interstices, 2010
Journal articles hal-01350194v1

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⟩
Journal articles inria-00407915v1

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⟩
Journal articles inria-00534326v1

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

Bruno Cessac
Interstices, 2009
Journal articles hal-01350382v1
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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⟩
Journal articles hal-00784452v1
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Parametric estimation of spike train statistics

Bruno Cessac , Thierry Viéville
BMC Neuroscience, 2009, 10 (Suppl 1), pp.P165
Journal articles hal-00784454v1
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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
Journal articles 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⟩
Journal articles inria-00407905v1

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
Journal articles inria-00423350v1

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

Bruno Cessac , Thierry Viéville
Frontiers in Neuroscience, 2008, 2 (2)
Journal articles inria-00338369v1

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
Journal articles inria-00633582v1

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⟩
Journal articles 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⟩
Journal articles inria-00633581v1

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

Bruno Cessac , Thierry Viéville , Christine Leininger
Interstices, 2007
Journal articles 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
Journal articles inria-00529560v1
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Revisiting time discretisation of spiking network models

Bruno Cessac , Thierry Viéville
BMC Neuroscience, 2007, 8 (Suppl 2), pp.P76
Journal articles hal-00784465v1

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)
Journal articles hal-00123621v1

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⟩
Journal articles hal-00119548v1

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⟩
Journal articles hal-00013081v1

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⟩
Journal articles inria-00529558v1

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⟩
Journal articles 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⟩
Journal articles 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⟩
Journal articles 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
Journal articles 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⟩
Journal articles 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
Journal articles 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
Journal articles hal-01416779v1
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Increase in Complexity in Random Neural Networks

Bruno Cessac
Journal de Physique I, 1995, 5 (3), pp.409-432. ⟨10.1051/jp1:1995135⟩
Journal articles jpa-00247065v1

Remarks on spatio-temporal spike correlations

Bruno Cessac
Network of Spiking Neurons, Institut Henri Poincaré, Mar 2023, Paris, France
Conference papers hal-04050213v1

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
Conference papers hal-04030986v1
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Retinal processing: Insights from mathematical modelling

Bruno Cessac
EURANDOM workshop on Stochastic Models in Life Sciences, Sep 2022, Eindhoven, Netherlands
Conference papers hal-03774467v1
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Waves4AI

Bruno Cessac
AI4Waves, Oct 2022, Sophia-Antipolis, France
Conference papers hal-03807338v1
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Linear response for spiking neuronal networks with unbounded memory

Bruno Cessac , Rodrigo Cofré , Ignacio Ampuero
Dynamics Days Europe, Aug 2020, Nice / Online, France
Conference papers hal-02921842v1

Random Structures in the retina

Bruno Cessac
Workshop "Random Polymers and Networks", Sep 2020, Porquerolles, France
Conference papers hal-02929816v1
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Motion anticipation in the retina

Bruno Cessac , Selma Souihel
NeuroSTIC 2019 - 7e édition des journées NeuroSTIC, Oct 2019, Sophia-Antipolis, France
Conference papers 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
Conference papers hal-02171428v1
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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
Conference papers hal-02172010v1
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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
Conference papers hal-02389076v1
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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
Conference papers hal-02389086v1
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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
Conference papers hal-02172016v1
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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
Conference papers hal-02167737v1
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Modelling spontaneous propagating waves in the early retina

Bruno Cessac , Dora Matzakos-Karvouniari , Lionel Gil
Waves Côte d'azur, Jun 2019, Nice, France
Conference papers hal-02268281v1
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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
Conference papers hal-02150600v1

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
Conference papers hal-01986989v1
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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
Conference papers hal-01925829v1
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Biovision team Helping visually impaired people Multi scale modeling of the retina

Bruno Cessac
UCA Complex Days, Jan 2018, Nice, France
Conference papers hal-01895097v1

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
Conference papers hal-01816919v1

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
Conference papers hal-01816920v1
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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
Conference papers hal-02006662v1

Statistical analysis of retinal responses

Bruno Cessac
Random Structures on the Brain 2017, Dec 2017, Leiden, Netherlands. pp.1-122
Conference papers hal-01644408v1

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
Conference papers hal-01644398v1

Handling spatio-temporal correlations in neuronal systems

Bruno Cessac
LACONEU 2017 - Computational Neuroscience Summer School, Jan 2017, Valparaiso, Chile
Conference papers hal-01626754v1

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
Conference papers hal-01626784v1

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
Conference papers 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
Conference papers hal-01644404v1

Multi scale dynamics in retinal waves

Dora Karvouniari , Lionel Gil , Olivier Marre , Serge Picaud , Bruno Cessac
C@UCA 2017 Meeting, Jun 2017, Fréjus, France
Conference papers hal-01626772v1
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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⟩
Conference papers 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
Conference papers hal-01324365v1

Mean Field Methods in Neuroscience

Bruno Cessac
Dynamics of Multi-Level Systems, Jun 2015, Dresde, Germany
Conference papers hal-01235314v1
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Spatio-Temporal Linear Response of Spiking Neuronal Network Models

Rodrigo Cofre , Bruno Cessac
ISCLANE 15, Sep 2015, Barcelone, Spain
Conference papers hal-01235318v1

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
Conference papers hal-01225622v1

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
Conference papers hal-01225619v1

Biophysical reaction-diffusion model for stage II retinal waves and bifurcations analysis

Dora Karvouniari , Lionel Gil , Bruno Cessac
MathStatNeuro workshop, Sep 2015, Nice, France
Conference papers hal-01211548v1

Statistical models for spike trains analysis in the retina.

Bruno Cessac
12eme Colloque de la société des neurosciences, May 2015, Montpellier, France
Conference papers hal-01235313v1

Statistical analysis of spike trains in neuronal networks

Bruno Cessac
Neuroscience and modellint, Dec 2015, Paris, France
Conference papers hal-01246092v1

Mean Field TheoriesNeuroscience

Bruno Cessac
QFT methods in stochastic nonlinear dynamics, Mar 2015, Bielefeld, Germany
Conference papers hal-01235311v1

Neural Networks Dynamics

Bruno Cessac
LACONEU 2014, Jan 2014, Valparaiso, Chile
Conference papers hal-01095600v1

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
Conference papers hal-01095601v1

Spike train statistics: from mathematical models to software to experiments

Bruno Cessac
6th Workshop in Computational Neuroscience in Marseille, Mar 2014, Marseille, France
Conference papers hal-01095746v1

De la rétine à la physique statistique

Bruno Cessac
4 ème journée de la physique niçoise, Jun 2014, Sophia Antipolis, France
Conference papers hal-01095605v1

Statistical analysis of spike trains in neuronal networks

Bruno Cessac , Rodrigo Cofre
MATHSTATNEURO Workshop, Jun 2014, Copenhague, Denmark
Conference papers hal-01095606v1

Spike trains analysis, Gibbs distributions and (Variable Length ?) Markov chains

Bruno Cessac
VLMC days, 5-6 March 2013, Mar 2013, Dijon, France
Conference papers hal-00845619v1

Can we hear the shape of a Maximum Entropy potential from a spike train?

Bruno Cessac , Rodrigo Cofre
Bernstein Conference, Sep 2013, Tübingen, Germany
Conference papers hal-00851436v1

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
Conference papers hal-00850091v1

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
Conference papers hal-00849944v1
Image document

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
Conference papers hal-00849937v1

Spike trains statistics and Gibbs distributions

Bruno Cessac
Probabilistic structures of the brain, Cergy, December 13-14, 2012, 2012, Cergy, France
Conference papers hal-00845601v1
Image document

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
Conference papers hal-00756467v1

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
Conference papers hal-00845599v1
Image document

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
Conference papers hal-00850100v1

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
Conference papers 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
Conference papers hal-00845600v1
Image document

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
Conference papers hal-00755345v1

Spike trains statistics and Gibbs distributions

Bruno Cessac
Conférence Dynamics of Complex Systems, Sep 2011, Cergy, France
Conference papers hal-00845729v1

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
Conference papers hal-00845730v1

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
Conference papers hal-00845731v1

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
Conference papers hal-00845728v1

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
Conference papers hal-00847436v1

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
Conference papers hal-00847435v1

Statistical analysis of spike trains

Bruno Cessac
Workshop School Chaos and Dynamics in Biological Networks, 2010, Unknown
Conference papers hal-00847438v1
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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
Conference papers hal-00553403v1
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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
Conference papers hal-00553441v1

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
Conference papers hal-00847449v1

Back-engineering of spiking neural networks parameters

Horacio Rostro , Bruno Cessac , Juan Carlos Vasquez , Thierry Viéville
Eighteenth Annual Computational Neuroscience Meeting CNS*2009, 2009, Berlin, Germany
Conference papers inria-00407911v1

How Gibbs Distributions may naturally arise from synaptic adaptation mechanisms

Bruno Cessac , Juan Carlos Vasquez , Horacio Rostro , Thierry Viéville
Eighteenth Annual Computational Neuroscience Meeting CNS*2009, 2009, Berlin, Germany
Conference papers inria-00407910v1

Parametric Estimation of spike train statistics

Bruno Cessac , Juan Carlos Vasquez , Thierry Viéville
Eighteenth Annual Computational Neuroscience Meeting CNS*2009, 2009, Berlin, Germany
Conference papers 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
Conference papers inria-00437205v1

On deterministic reservoir computing: network complexity and algorithm

Horacio Rostro , Bruno Cessac , Juan Carlos Vasquez , Thierry Viéville
Neurocomp'09, 2009, Bordeaux, France
Conference papers inria-00437203v1
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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
Conference papers hal-00331541v1
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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
Conference papers hal-00331567v1

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
Conference papers inria-00338371v1

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
Conference papers 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
Conference papers hal-03712537v1

Some fractal aspects of Self-Organized Criticality

Bruno Cessac
Fractales en progres, Nov 2003, Paris, France
Conference papers inria-00529556v1
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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
Conference poster hal-04160883v1
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Retino-cortical computational model to study suppressive waves in fast motions

Jérôme Emonet , Bruno Cessac , Alain Destexhe , Frédéric Chavane , Matteo Di Volo
Neuromod Meeting, Jun 2023, Antibes, France
Conference poster hal-04206309v1
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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.
Conference poster hal-03716437v1
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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
Conference poster 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
Conference poster 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.
Conference poster hal-03697955v1
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Dynamical Synapses in Retinal Surprise coding

Simone Ebert , Semihchan Sermet , Thomas Buffet , Bruno Cessac , Olivier Marre
Neuromod Inaurguration Day, Mar 2021, online, France
Conference poster hal-03521429v1
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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
Conference poster hal-03521415v1
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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
Conference poster hal-02167729v1
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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
Conference poster hal-02389096v1
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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
Conference poster hal-01866259v1
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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
Conference poster hal-01809589v1
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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
Conference poster hal-01807929v1
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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
Conference poster hal-01816921v1
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A computational study of anticipation in the retina

Selma Souihel , Bruno Cessac
Bernstein conference 2018, Sep 2018, Berlin, Germany
Conference poster hal-01942516v1
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Biovision project-team

Bruno Cessac , Pierre Kornprobst , Marco Benzi , Ilian Caugant , Dora Karvouniari
Fête de la science, Oct 2018, Sophia-Antipolis, France
Conference poster hal-01896505v1
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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
Conference poster hal-01638100v1
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Motion processing in the retina

Selma Souihel , Bruno Cessac
GDR multielectrodes , Nov 2017, Strasbourg, France
Conference poster hal-01638105v1
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How does the retina anticipate the motion of complex shapes ?

Selma Souihel , Bruno Cessac
Bernstein conférence, Sep 2017, Goettingen, Germany
Conference poster hal-01638102v1
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Modifying a biologically inspired retina simulator to reconstruct realistic responses to moving stimuli

Selma Souihel , Bruno Cessac
Conference Cauca, Jun 2017, Fréjus, France
Conference poster hal-01638104v1
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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
Conference poster hal-01638098v1
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Spike train analysis and Gibbs distributions

Rodrigo Cofre , Bruno Cessac
Bernstein Conference 2016, Sep 2016, Berlin, Germany
Conference poster hal-01378001v1
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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.
Conference poster hal-01339875v1
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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.
Conference poster hal-01377370v1
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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.
Conference poster hal-01368757v1
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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
Conference poster 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
Conference poster hal-01292700v1
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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
Conference poster hal-01256477v1
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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
Conference poster 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
Conference poster hal-01246088v1
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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.
Conference poster hal-01215541v1
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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.
Conference poster hal-01215537v1
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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.
Conference poster hal-01095781v1
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Can We Hear the Shape of a Maximum Entropy Potential From Spike Trains?

Rodrigo Cofre , Bruno Cessac
Bernstein Conference 2015, Sep 2014, Goettingen, Germany.
Conference poster hal-01095760v1
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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
Conference poster hal-00842303v1
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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
Conference poster hal-00842309v1
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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
Conference poster hal-00842297v1
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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
Conference poster hal-00842312v1
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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
Conference poster hal-00850107v1
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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
Conference poster hal-00850109v1

The Retina as a Dynamical System

Bruno Cessac
Recent Trends in Chaotic, Nonlinear and Complex Dynamics., inPress
Book sections hal-03054473v1
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The retina: a fascinating object of study for a physicist

Bruno Cessac
UCA COMPLEX DAYS, inPress
Book sections hal-01807518v1
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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
Book sections hal-00640507v1
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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
Preprints, Working Papers, ... hal-03939794v1
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How does the inner retinal network shape the ganglion cells receptive field : a computational study

Hilgen Gerrit , Kartsaki Evgenia , Sernagor Evelyne , Bruno Cessac
2023
Preprints, Working Papers, ... hal-04161982v1

Noise driven broadening of the neural synchronisation transition in stage II retinal waves

Dora Matzakos-Karvouniari , Bruno Cessac , Lionel Gil
2019
Preprints, Working Papers, ... hal-02402380v1
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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
Preprints, Working Papers, ... hal-02414907v1
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Dimensionality Reduction on Spatio-Temporal Maximum Entropy Models of Spiking Networks

Rubén Herzog , Maria-Jose Escobar , Rodrigo Cofré , Adrian Palacios , Bruno Cessac
2018
Preprints, Working Papers, ... hal-01917485v1
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Dimensionality Reduction on Maximum Entropy Models on Spiking Networks

Rubén Herzog , Maria-Jose Escobar , Adrian Palacios , Bruno Cessac
2017
Preprints, Working Papers, ... hal-01649063v1
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Exact computation of the Maximum Entropy Potential of spiking neural networks models

Rodrigo Cofre , Bruno Cessac
2014
Preprints, Working Papers, ... hal-00861397v4

Stochastic firing rate models

Jonathan Touboul , Bard Ermentrout , Olivier Faugeras , Bruno Cessac
2010
Preprints, Working Papers, ... inria-00534332v1

Entropy-based parametric estimation of spike train statistics

Juan Carlos Vasquez , Thierry Viéville , Bruno Cessac
2010
Preprints, Working Papers, ... inria-00534847v1

Back-engineering of spiking neural networks parameters

Horacio Rostro-Gonzalez , Bruno Cessac , Juan Carlos Vasquez , Thierry Viéville
2009
Preprints, Working Papers, ... hal-00846118v1

Inducing periodicity and chaos by negative feedback

Elisabeth Pecou , Bruno Cessac , Guillermo Espinoza
2007
Preprints, Working Papers, ... hal-00194648v1

Are neuronal networks that vicious ? Or only their models ?

Bruno Cessac , Thierry Viéville
2007
Preprints, Working Papers, ... hal-00176199v1

Are biological neurons that vicious ? Or only their models ?

Thierry Viéville , Bruno Cessac
2007
Preprints, Working Papers, ... hal-00176200v1

From Neuron to Neural Networks dynamics

Bruno Cessac , M. Samuelides
2006
Preprints, Working Papers, ... hal-00095871v1

Numerical evidence of linear response violations in chaotic systems

Bruno Cessac
2006
Preprints, Working Papers, ... hal-00095877v1

Some fractal aspects of Self-Organized Criticality

Bruno Cessac
2004
Preprints, Working Papers, ... hal-00013082v1
Image document

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
Reports hal-03087009v2
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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
Reports hal-01377307v2
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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
Reports hal-01393525v1
Image document

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
Reports hal-01279999v3
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Parameters estimation for spatio-temporal maximum entropy distributions: application to neural spike trains.

Hassan Nasser , Bruno Cessac
[Research Report] 2014
Reports hal-00927080v1
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Estimating maximum entropy distributions from periodic orbits in spike trains

Bruno Cessac , Rodrigo Cofre
[Research Report] RR-8329, INRIA. 2013
Reports hal-00842776v1
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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
Reports hal-00783091v2
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Floor the Ceil & Ceil the Floor: Revisiting AIMD Evaluation

Ashwin Rao , Arnaud Legout , Bruno Cessac , Walid Dabbous
[Research Report] 2012
Reports hal-00733890v1
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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
Reports inria-00574954v2
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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
Reports inria-00455415v1
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Introducing numerical bounds to improve event-based neural network simulation

Bruno Cessac , Olivier Rochel , Thierry Viéville
[Research Report] RR-6924, INRIA. 2009, pp.31
Reports inria-00382534v1
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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
Reports inria-00258345v3