Poster
New algorithms and online knowledge in numerical grid generation |
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A BeamFormer for source localization in ElectroCOrticoGraphy |
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CHANGES OF RESTING-STATE OSCILLATORY NETWORK DYNAMICS AFTER MOTOR LEARNING: A M.E.G. DEVELOPMENTAL STUDY |
Introduction : Neuroimaging studies have shown that in adults, the motor learning induced alterations of the functional connectivity assessed during Resting State Networks (RSN) is age-dependent (Mary et al., 2017). Motor learning relies on the build-up of new sensori-motor representations, which… | |
cDNA Microarray Data Statistical Analysis: Yeast Experiment. |
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Scaling and hydrodynamic effects in lamellar ordering |
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Tropospheric Ozone Monitoring with IASI/MetOP Using a Self - Adapting Regularizati on Method |
Tropospheric ozone is a key species for tropospheric chemistry and air quality. Its monitoring is essential to quantify sources, transport, chemical transformation and sinks of atmospheric pollution. Accurate data are required for understanding and predicting chemical weather. Space-borne… | |
Forecasting visitors' behaviour in crowded museums - a case study: the Galleria Borghese in Rome |
We tackle the issue of measuring and understanding the visitors' dynamics in a crowded museum in order to create and calibrate a predictive mathematical model. The model is then used as a tool to manage, control and optimize the fruition of the museum. Our contribution comes with one successful use… | |
Drug dynamics in eluting stents: modelling, simulation and design |
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Effects of an applied flow on phase-separating binary mixtures |
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Source modelling of ElectroCorticoGraphy data: stability analysis and spatial filtering |
ElectroCOrticoGraphy (ECoG) is an invasive neuroimaging technique that measures electrical potentials produced by brain currents via an electrode grid implanted on the cortical surface. A full interpretation of ECoG data is difficult because it requires solving the inverse problem of reconstructing… |
