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BC
Bruno Cessac
7
Documents
Présentation
Publications
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Parameter Estimation for Spatio-Temporal Maximum Entropy Distributions: Application to Neural Spike TrainsEntropy, 2014, 16 (4), pp.2244-2277. ⟨10.3390/e16042244⟩
Article dans une revue
hal-01096213v1
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Mean Field Methods in NeuroscienceDynamics of Multi-Level Systems, Jun 2015, Dresde, Germany
Communication dans un congrès
hal-01235314v1
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Mean Field TheoriesNeuroscienceQFT methods in stochastic nonlinear dynamics, Mar 2015, Bielefeld, Germany
Communication dans un congrès
hal-01235311v1
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Spike train statistics: from mathematical models to software to experiments6th Workshop in Computational Neuroscience in Marseille, Mar 2014, Marseille, France
Communication dans un congrès
hal-01095746v1
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Neural Networks DynamicsLACONEU 2014, Jan 2014, Valparaiso, Chile
Communication dans un congrès
hal-01095600v1
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Can We Hear the Shape of a Maximum Entropy Potential From Spike Trains?Poster de conférence hal-01095760v1 |
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Mean-Field Models in neuroscienceDoctoral. Mean-Field Models in neuroscience., France. 2014
Cours
cel-01095603v1
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