Machine learning, image processing (psychiatric neuroimaging), data analysis & modeling
This project's aim is to predict (family risk of) dyslexia based on EEG (ERP) measurements in infants. State-of-the-art machine learning (deep learning) techniques will be employed to find early patterns in ERP data that are characteristic of (risk of) developmental dyslexia. See https://www.esciencecenter.nl/project/epodium