Project-Team:PARIETAL

Project-Team Parietal

Team, Visitors, External Collaborators

Overall Objectives

Research Program

Inverse problems in Neuroimaging
Multivariate decompositions
Covariance estimation

Application Domains

Cognitive neuroscience

Highlights of the Year

New Software and Platforms

Mayavi
MedInria
Nilearn
PyHRF
Scikit-learn
MODL
MNE

New Results

Reducing the number of samples in spatiotemporal dMRI acquisition design
Robust EEG-based cross-site and cross-protocol classification of states of consciousness
A deep learning architecture for temporal sleep stage classification using multivariate and multimodal time series
Individual Brain Charting, a high-resolution fMRI dataset for cognitive mapping
Atlases of cognition with large-scale brain mapping
Celer: a Fast Solver for the Lasso with Dual Extrapolation
Multivariate Convolutional Sparse Coding for Electromagnetic Brain Signals
Stochastic Subsampling for Factorizing Huge Matrices
Text to brain: predicting the spatial distribution of neuroimaging observations from text reports
Similarity encoding for learning with dirty categorical variables

Bilateral Contracts and Grants with Industry

Bilateral Contracts with Industry

Partnerships and Cooperations

Regional Initiatives
National Initiatives
European Initiatives
International Initiatives
International Research Visitors

Dissemination

Promoting Scientific Activities
Teaching - Supervision - Juries
Popularization

Bibliography

Publications of the year
References in notes

Inria | Raweb 2018 | Presentation of the Project-Team PARIETAL | PARIETAL Web Site


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Section: Bilateral Contracts and Grants with Industry

Bilateral Contracts with Industry

In 2018, a CIFRE PhD thesis was launched with the Canadian company Interaxon https://choosemuse.com. This contract supports the PhD thesis of Hubert Banville.

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