Bruno Cessac

INRIA Sophia Antipolis, Biot, Provence-Alpes-Côte d'Azur, France 
"Bruno Cessac"
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Cessac B, Kornprobst P, Kraria S, et al. (2017) PRANAS: A New Platform for Retinal Analysis and Simulation. Frontiers in Neuroinformatics. 11: 49
Hilgen G, Pirmoradian S, Pamplona D, et al. (2017) Pan-retinal characterisation of Light Responses from Ganglion Cells in the Developing Mouse Retina. Scientific Reports. 7: 42330
Cofré R, Cessac B. (2014) Exact computation of the maximum-entropy potential of spiking neural-network models. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 89: 052117
Nasser H, Cessac B. (2014) Parameter estimation for spatio-temporal maximum entropy distributions application to neural spike trains Entropy. 16: 2244-2277
Naudé J, Cessac B, Berry H, et al. (2013) Effects of cellular homeostatic intrinsic plasticity on dynamical and computational properties of biological recurrent neural networks. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 33: 15032-43
Cessac B, Cofré R. (2013) Spike train statistics and Gibbs distributions. Journal of Physiology, Paris. 107: 360-8
Nasser H, Marre O, Cessac B. (2013) Spatio-temporal spike train analysis for large scale networks using the maximum entropy principle and Monte Carlo method Journal of Statistical Mechanics: Theory and Experiment. 2013
Cessac B, Palacios AG. (2013) Spike train statistics from empirical facts to theory: The case of the retina Modeling in Computational Biology and Biomedicine: a Multidisciplinary Endeavor. 2147483647: 261-302
Rostro-Gonzalez H, Cessac B, Vieville T. (2012) Parameter estimation in spiking neural networks: a reverse-engineering approach. Journal of Neural Engineering. 9: 026024
Vasquez JC, Marre O, Palacios AG, et al. (2012) Gibbs distribution analysis of temporal correlations structure in retina ganglion cells. Journal of Physiology, Paris. 106: 120-7
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