Poster
Milieux complexes avec un modèle de Réaction-Diffusion |
||
NeuroPycon: A python package for efficient multi-modal brain network analysis |
Background. With the exponential increase in data dimension and methodological complexities, brain networks analysis with MEG and EEG has become an increasingly challenging and time-consuming endeavor. To date, performing all the data processing steps that are required for a complete MEG/EEG… | |
Study of a Human Isolated Population |
||
Methodologies for a computer aided monitoring of cultural heritage degradation |
||
Numerical study of the flow around a cylinder using multi-particle collision dynamics |
||
Bayesian estimation of multiple static dipoles from EEG time series: validation of an SMC sampler |
Source modeling of EEG data is an important tool for both neuroscience and clinical applications, such as epilepsy. Despite their simplicity, multiple dipole models remain highly desirable to explain neural sources. However, estimating dipole models from EEG time-series remains a difficult task,… | |
Preliminary assessment of the quality of Methyl chloride (CH3Cl) from MIPAS on ENVISAT measurements |
The Michelson Interferometer for Passive Atmospheric Sounding (MIPAS) is a limb-viewing infrared Fourier transform spectrometer that operated from 2002 to 2012 on board the ENVISAT satellite. The fruitful collaboration among spectroscopists, Level 1, Level 2, and validation teams in the frame of… | |
Regulatory sequence annotation using cross gene expression data |
||
Modelling stem cell dynamics to repair ischemic myocardial area |
||
A hierarchical Krylov-Bayes iterative inverse solver for MEG with physiological preconditioning |
Magnetoencephalopgraphy (MEG) is a non-invasive functional imaging modality for mapping cerebral electromagnetic activity from measurements of the weak magnetic field that it generates. It is well known that the MEG inverse problem, i.e. the problem of identifying electric currents from the induced… |
