EEG Connectivity Analysis Using Denoising Autoencoders for the Detection of Dyslexia

The Temporal Sampling Framework (TSF) theorizes that the characteristic phonological difficulties of dyslexia are caused by an atypical oscillatory sampling at one or more temporal rates. The LEEDUCA study conducted a series of Electroencephalography (EEG) experiments on children listening to amplit...

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Bibliographic Details
Published in:	International journal of neural systems Vol. 30; no. 7; p. 2050037
Main Authors:	Martinez-Murcia, Francisco J, Ortiz, Andres, Gorriz, Juan Manuel, Ramirez, Javier, Lopez-Abarejo, Pedro Javier, Lopez-Zamora, Miguel, Luque, Juan Luis
Format:	Journal Article
Language:	English
Published:	Singapore 01.07.2020
Subjects:	Cerebral Cortex - physiopathology Child Connectome - methods Dyslexia - diagnosis Dyslexia - physiopathology Electroencephalography - methods Humans Language Tests Neural Networks, Computer Psycholinguistics Speech Perception - physiology Unsupervised Machine Learning autoencoder connectivity EEG Periodogram dyslexia
ISSN:	1793-6462, 1793-6462
Online Access:	Get more information
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