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BC

Bruno Cessac

7

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102356

	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⟩ Article dans une revue hal-01096213v1

	Mean Field Methods in Neuroscience Bruno Cessac Dynamics of Multi-Level Systems, Jun 2015, Dresde, Germany Communication dans un congrès hal-01235314v1
	Mean Field TheoriesNeuroscience Bruno Cessac QFT methods in stochastic nonlinear dynamics, Mar 2015, Bielefeld, Germany Communication dans un congrès hal-01235311v1
	Neural Networks Dynamics Bruno Cessac LACONEU 2014, Jan 2014, Valparaiso, Chile Communication dans un congrès hal-01095600v1
	Spike train statistics: from mathematical models to software to experiments Bruno Cessac 6th Workshop in Computational Neuroscience in Marseille, Mar 2014, Marseille, France Communication dans un congrès hal-01095746v1

	Can We Hear the Shape of a Maximum Entropy Potential From Spike Trains? Rodrigo Cofre , Bruno Cessac Bernstein Conference 2015, Sep 2014, Goettingen, Germany. Poster de conférence hal-01095760v1

	Mean-Field Models in neuroscience Bruno Cessac Doctoral. Mean-Field Models in neuroscience., France. 2014 Cours cel-01095603v1