Machine learning approach for studying the neural underpinnings of dyslexia on a phonological awareness task

Understanding the neural underpinnings of dyslexia is an open and fundamental question in developmental neuroscience. A widely agreed causal risk factor for dyslexia is phonological deficit (PD). However, the causal relationships between PD and dyslexia have been primarily investigated and theorized...

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Bibliographic Details

Published in:	Proceedings of the International Florida Artificial Intelligence Research Society Conference
Main Authors:	Christoforos Christoforou, Timothy C. Papadopoulos, Maria Theodorou
Format:	Article
Language:	English
Published:	LibraryPress@UF 2022-05-01
Subjects:	eeg neural-congruency first phoneme elision dyslexia machine learning electroencephalography
Online Access:	https://journals.flvc.org/FLAIRS/article/view/130576