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PARIETAL Research team

Activity reports

Overall Objectives

The Parietal team focuses on mathematical methods for modeling and statistical inference based on neuroimaging data, with a particular interest in machine learning techniques and applications of human functional imaging. This general theme splits into four research axes:

Modeling for neuroimaging population studies,

Encoding and decoding models for cognitive imaging,

Statistical and machine learning methods for large-scale data,

Compressed-sensing for MRI.

Parietal is also strongly involved in open-source software development in scientific Python (machine learning) and for neuroimaging applications.