Bruno Cessac - researchr alias

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Viewing Publication 1 - 17 from 17

2025

2024

How Does the Inner Retinal Network Shape the Ganglion Cells Receptive Field? A Computational StudyEvgenia Kartsaki, Gerrit Hilgen, Evelyne Sernagor, Bruno Cessac. neco, 36(6):1041-1083, 2024. [doi]

2022

Retinal Processing: Insights from Mathematical ModellingBruno Cessac. jimaging, 8(1):14, 2022. [doi]

2021

Linear Response of General Observables in Spiking Neuronal Network ModelsBruno Cessac, Ignacio Ampuero, Rodrigo Cofré. entropy, 23(2):155, 2021. [doi]

2020

Thermodynamic Formalism in Neuronal Dynamics and Spike Train StatisticsRodrigo Cofré, Cesar Maldonado, Bruno Cessac. entropy, 22(11):1330, 2020. [doi]

2017

On the Mathematical Consequences of Binning Spike TrainsBruno Cessac, Arnaud Le Ny, Eva Löcherbach. neco, 29(1):146-170, 2017. [doi]

PRANAS: A New Platform for Retinal Analysis and SimulationBruno Cessac, Pierre Kornprobst, Selim Kraria, Hassan Nasser, Daniela Pamplona, Geoffrey Portelli, Thierry Viéville. fini, 2017:49, 2017. [doi]

2014

Parameter Estimation for Spatio-Temporal Maximum Entropy Distributions: Application to Neural Spike TrainsHassan Nasser, Bruno Cessac. entropy, 16(4):2244-2277, 2014. [doi]

2012

Using event-based metric for event-based neural network weight adjustmentThierry Viéville, Rodrigo Salas, Bruno Cessac. esann 2012: [doi]

2010

A View of Neural Networks as Dynamical SystemsBruno Cessac. IJBC, 20(6):1585-1629, 2010. [doi]

2009

A constructive mean-field analysis of multi population neural networks with random synaptic weights and stochastic inputsOlivier D. Faugeras, Jonathan Touboul, Bruno Cessac. ficn, 2009:1, 2009. [doi]

2008

On dynamics of integrate-and-fire neural networks with conductance based synapsesBruno Cessac, Thierry Viéville. ficn, 2008:2, 2008. [doi]

A Mathematical Analysis of the Effects of Hebbian Learning Rules on the Dynamics and Structure of Discrete-Time Random Recurrent Neural NetworksBenoÃ®t Siri, Hugues Berry, Bruno Cessac, Bruno Delord, Mathias Quoy. neco, 20(12):2937-2966, 2008. [doi]

2006

Expectation-Driven Interaction: a Model Based on Luhmann's Contingency ApproachMichael J. Barber, Philippe Blanchard, Eva Buchinger, Bruno Cessac, Ludwig Streit. jasss, 9(4), 2006. [doi]

1998

Self-organization and dynamics reduction in recurrent networks: stimulus presentation and learningEmmanuel Daucé, Mathias Quoy, Bruno Cessac, Bernard Doyon, Manuel Samuelides. NN, 11(3):521-533, 1998. [doi]

1992

Destabilization and Route to Chaos in Neural Networks with Random ConnectivityBernard Doyon, Bruno Cessac, Mathias Quoy, Manuel Samuelides. nips 1993: 549-555 [doi]

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