Abstract
Large amounts of available data have shifted paradigms in the way we do science. This is particularly the case in biomedical applications. This is also the case in psychology and psychiatry with the emergence of new fields such as Neuropstchology or Computational Psychiatry. This talk fits in this gloabal context: I will discuss mathematical representations of mental and emotional states: from collection of data thanks to various devices to machine learning models, statistics and dynamical systems models.