Members
Projects
We aim to develop methods and statistical models for obtaining information on biological processes from imaging.
Chasing functional ensembles in calcium imaging of Hydra’s neuronal activity to decode its behaviours’ repertoire
The overall objective of this project is to develop a mathematical framework to bridge the gap between single neuron imaging in vivo and the emergent computational properties of neuronal ensembles that encode animal’s behaviors. We’ll focus on the small cnidarian Hydra which possesses one of the most primitive and simple nervous system, and a limited repertoire of behaviors. We will tackle two important methodological issues: 1- the long-term tracking of individual neurons in moving and deforming animals and 2- the statistical inference of functional ensembles from calcium imaging of neuronal activity in vivo. These two developments will help us to understand how the cooperative activity of few computational units (neuron ensembles) can efficiently process information and control the limited repertoire of animals’ behaviors.
Fundings
Publications
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2024A machine learning approach to distinguish different subdiffusive dynamics in particle tracking, International Symposium on Biomedical Imaging (ISBI), IEEE, May 2024, Athens (Greece), Greece.
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2024PARTICLE TRACKING IN BIOLOGICAL IMAGES WITH OPTICAL-FLOW ENHANCED KALMAN FILTERING, International Symposium on Biomedical Imaging (ISBI), IEEE, May 2024, Athens (Greece), France.
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2024
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2023Automatic, bioRxiv 2023 Sep; (): .
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2023
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2022Tracking receptor motions at the plasma membrane reveals distinct effects of ligands on CCR5 dynamics depending on its dimerization status., Elife 2022 Jul; 11(): .
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2022
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2022
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2021Tracking calcium dynamics from individual neurons in behaving animals., PLoS Comput Biol 2021 Oct; 17(10): e1009432.
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2021HIV-1 hijacks the cell extracellular matrix to spread collectively and efficiently between T lymphocytes, 2021.
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