Application of information theoretical and machine learning techniques on electrophysiological recordings for assessing the neurophysiological effects of healthy aging
Thesis supervisor: Frigyes Sámuel Rácz
Location of studies (in Hungarian): Semmelweis Egyetem Abbreviation of location of studies: SE
Description of the research topic:
Application of information theoretical and machine learning techniques on electrophysiological recordings for assessing the neurophysiological effects of healthy aging