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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Vydané v:	International journal of neural systems Ročník 30; číslo 7; s. 2050037
Hlavní autori:	Martinez-Murcia, Francisco J, Ortiz, Andres, Gorriz, Juan Manuel, Ramirez, Javier, Lopez-Abarejo, Pedro Javier, Lopez-Zamora, Miguel, Luque, Juan Luis
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Singapore 01.07.2020
Predmet:	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
On-line prístup:	Zistit podrobnosti o prístupe
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