Section: Overall Objectives

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.