Yearly 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.

Last activity report : 2020

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