Classification of EEG recordings in auditory brain activity via a   logistic functional linear regression model
  We want to analyse EEG recordings in order to investigate the phonemic categorization at a very early stage of auditory processing. This problem can be modelled by a supervised classification of functional data. Discrimination is explored via a logistic functional linear model, using a wavelet representation of the data. Different procedures are investigated, based on penalized likelihood and principal component reduction or partial least squares reduction. 
Ir\`ene Gannaz (ICJ, GIPSA-lab)
stat.AP math.ST q-bio.NC stat.TH