Deep neurocomputational fusion for ASD diagnosis using multi-domain EEG analysis

Autism spectrum disorder (ASD) presents significant challenges in early detection due to its heterogeneous nature and the subtlety of neurophysiological variations. Electroencephalography (EEG) has emerged as a promising tool for ASD diagnosis, offering insights into intricate neurophysiological sig...

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Vydané v:	Neurocomputing (Amsterdam) Ročník 641; s. 130353
Hlavní autori:	Rasool, Abdur, Aslam, Saba, Xu, Yongjie, Wang, Yishan, Pan, Yi, Chen, Weiyang
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 07.08.2025
Predmet:	Autism spectrum disorder Deep learning EEG analysis Fusion model Neurocomputational diagnostics Deep learning Fusion model Neurocomputational diagnostics Autism spectrum disorder EEG analysis
ISSN:	0925-2312
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