Destabilization and Route to Chaos in Neural Networks with Random Connectivity. - Bernard Doyon; Bruno Cessac; Mathias Quoy; Manuel Samuelides (NIPS, 1992)

Self-organization and dynamics reduction in recurrent networks: stimulus presentation and learning. - Emmanuel Daucé; Mathias Quoy; Bruno Cessac; Bernard Doyon; Manuel Samuelides (Neural Networks, 1998)

Transmitting a signal by amplitude modulation in a chaotic network - Bruno Cessac; Jacques-A. Sepulchre (CoRR, 2005)

From Neuron to Neural Networks dynamics - Bruno Cessac; Manuel Samuelides (CoRR, 2006)

Expectation-Driven Interaction: a Model Based on Luhmann's Contingency Approach. - Michael J. Barber; Philippe Blanchard; Eva Buchinger; Bruno Cessac; Ludwig Streit (J. Artif. Soc. Soc. Simul., 2006)

To which extend is the "neural code" a metric ? - Bruno Cessac; Horacio Rostro-González; Juan Carlos Vasquez 002; Thierry Viéville (CoRR, 2008)

Introducing numerical bounds to improve event-based neural network simulation - Bruno Cessac; Olivier Rochel; Thierry Viéville (CoRR, 2008)

On dynamics of integrate-and-fire neural networks with conductance based synapses. - Bruno Cessac; Thierry Viéville (Frontiers Comput. Neurosci., 2008)

A Mathematical Analysis of the Effects of Hebbian Learning Rules on the Dynamics and Structure of Discrete-Time Random Recurrent Neural Networks. - Benoît Siri; Hugues Berry; Bruno Cessac; Bruno Delord; Mathias Quoy (Neural Comput., 2008)

A constructive mean-field analysis of multi population neural networks with random synaptic weights and stochastic inputs. - Olivier D. Faugeras; Jonathan Touboul; Bruno Cessac (Frontiers Comput. Neurosci., 2009)

A View of Neural Networks as Dynamical Systems. - Bruno Cessac (Int. J. Bifurc. Chaos, 2010)

Using event-based metric for event-based neural network weight adjustment. - Thierry Viéville; Rodrigo Salas 001; Bruno Cessac (ESANN, 2012)

Parameter Estimation for Spatio-Temporal Maximum Entropy Distributions: Application to Neural Spike Trains. - Hassan Nasser; Bruno Cessac (Entropy, 2014)

PRANAS: A New Platform for Retinal Analysis and Simulation. - Bruno Cessac; Pierre Kornprobst; Selim Kraria; Hassan Nasser; Daniela Pamplona; Geoffrey Portelli; Thierry Viéville (Frontiers Neuroinformatics, 2017)

On the Mathematical Consequences of Binning Spike Trains. - Bruno Cessac; Arnaud Le Ny; Eva Löcherbach (Neural Comput., 2017)

Thermodynamic Formalism in Neuronal Dynamics and Spike Train Statistics. - Rodrigo Cofré; Cesar Maldonado; Bruno Cessac (Entropy, 2020)

Linear Response of General Observables in Spiking Neuronal Network Models. - Bruno Cessac; Ignacio Ampuero; Rodrigo Cofré (Entropy, 2021)

Retinal Processing: Insights from Mathematical Modelling. - Bruno Cessac (J. Imaging, 2022)

How Does the Inner Retinal Network Shape the Ganglion Cells Receptive Field? A Computational Study. - Evgenia Kartsaki; Gerrit Hilgen; Evelyne Sernagor; Bruno Cessac (Neural Comput., 2024)