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Illustration de l'actualité : PhD defense Tom Dupré la Tour : Non-linear models for neurophysiological time series

PhD defense Tom Dupré la Tour : Non-linear models for neurophysiological time series

lundi
26
novembre
2018

PhD Comics : I'm defending my thesis, Mom !

Jury

  • Mr. Yves GRENIER, Télécom ParisTech, Supervisor
  • Mr. Alexandre GRAMFORT, Inria Saclay, Cosupervisor
  • Mr. Guido NOLTE, UKE, Reviewer
  • Mr. Dimitri VAN DE VILLE, EPFL, Reviewer
  • Mrs. Maureen CLERC, Inria Sophia, Examiners
  • Mr. Mike COHEN, Radboud University, Examiners
  • Mr. Eric MOULINES, Ecole polytechnique, Examiners

Abstract

In neurophysiological time series, strong neural oscillations are observed in the mammalian brain, and the natural processing tools are thus centered on narrow-band linear filtering. As this approach is too reductive, we propose new methods to represent these signals. We first focus on the study of phase-amplitude coupling (PAC), which consists in an amplitude modulation of a high frequency band, time-locked with a specific phase of a slow neural oscillation. We propose to use driven autoregressive models (DAR), to capture PAC in a probabilistic model. Giving a proper model to the signal enables model selection by using the likelihood of the model, which constitutes a major improvement in PAC estimation.