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Chaos (Woodbury, N.Y.)|April 8, 2006
Transmitting a signal by amplitude modulation in a chaotic networkB Cessac, J A SepulchrePhysical Review. E, Statistical, Nonlinear, and Soft Matter Physics|December 17, 2004
Stable resonances and signal propagation in a chaotic network of coupled unitsB Cessac, J A SepulchreJournal of Mathematical Biology|July 27, 2010
A discrete time neural network model with spiking neurons: II: dynamics with noiseB CessacJournal of Mathematical Biology|September 18, 2007
A discrete time neural network model with spiking neurons. Rigorous results on the spontaneous dynamicsB CessacBulletin of Mathematical Biology|June 30, 2017
A Discrete Dynamical System Approach to Pathway Activation Profiles of Signaling CascadesS Catozzi, J-A SepulchreJournal of Physiology, Paris|March 19, 2013
Spike train statistics and Gibbs distributionsB Cessac, R CofréPhysical Review. E, Statistical, Nonlinear, and Soft Matter Physics|October 30, 2014
Exact computation of the maximum-entropy potential of spiking neural-network modelsR Cofré, B CessacPhysical Review. E, Statistical, Nonlinear, and Soft Matter Physics|March 23, 2002
Anomalous scaling and Lee-Yang zeros in self-organized criticalityB Cessac, J L MeunierPhysical Review. E, Statistical, Nonlinear, and Soft Matter Physics|July 20, 2001
Lyapunov exponents and transport in the Zhang model of self-organized criticalityB Cessac, P Blanchard, T KrügerJournal of Neural Engineering|March 16, 2012
Parameter estimation in spiking neural networks: a reverse-engineering approachH Rostro-Gonzalez, B Cessac, T VievillePageof 2