Décision et processus Bayesiens

This project aims at understanding the dynamical behaviour of drosophila larva. The larva is a ~10000 neurons that exhibit complex behaviour dynamics in response to external stimuli and to possible internal states. This project is […]

This project aims to characterize the mircrociruit structure of small animals’ brains and link this to how the brain processes information and encodes behavior. The project relies on simultaneous access to recent synapse-resolution wiring […]

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Networks provide an efficient formalism to study many complex real-world systems. They provide a natural modeling framework of structural and functional brain networks, protein interaction networks, social interactions, information and epidemic spreading, and infrastructural […]

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This project aims at understanding the synaptic environment at the single receptor scale. Now that large amounts of dynamical single molecule data are available and that single molecule science is slowly transitioning into a big […]

A Unique Software Platform for Complex Image Analysis Using Virtual Reality     DIVA (Data Integration and Visualization in Augmented and Virtual Environments)  is a software platform jointly developed by the Decision and Bayesian Computation lab […]

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Themis, Nyx, Japet & Héméré are the four software we will be developing starting in 2022 Themis will be a Julia library that generates greedy decision making from probability distribution of relevant summary statistics. […]

Single-molecule localization microscopy (SMLM) allows studying the dynamics of molecules in cells and resolving the biophysical properties that underlie cellular function. With the continuously growing amount of data produced by every single experiment, the […]

Genuage is a new open-source software platform, that enables the easy perception of, interaction with and analysis of multidimensional point clouds in virtual reality. Genuage is compatible with arbitrary multidimensional data and allows easy […]

DIVA is a software platform that enhances the analysis of biomedical and microscopy images using virtual reality. It virtually places users inside rich 3D environments based on their experimentally acquired imaging data. Highly interactive, it […]

InferenceMAP  is a software aimed at analysing single molecule dynamics. InferenceMAP is based on Bayesian analysis of Random Walks and this version is focused on mapping Random Walks at the full cell scale in […]

Palmari is a Python package allowing one to process PALM (photo-activated localization microscopy) movies in order to extract trajectories. The documentation can be found online : https://palmari.readthedocs.io/en/latest/ It has two entry points : it […]