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Thesis topic proposal
 
Application of information theoretical and machine learning techniques on electrophysiological recordings for assessing the neurophysiological effects of healthy aging

THESIS TOPIC PROPOSAL

Institute: Semmelweis University, Budapest
theoretical medicine
Doctoral School of Molecular Medicine

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


Deadline for application: 2021-10-10

 
All rights reserved © 2007, Hungarian Doctoral Council. Doctoral Council registration number at commissioner for data protection: 02003/0001. Program version: 2.2358 ( 2017. X. 31. )