A Graph-Based Generative Adversarial Network Model for Inferring Task-State from Resting-State Functional Connectivity Networks

Resting-state functional connectivity networks (rs-FCNs) have been most frequently used for brain network analysis in neuroscience. However, a body of evidence indicates that task-state FCNs (ts-FCNs) are better associated with individual differences in behavior than rs-FCN. Until now there have bee...

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Vydáno v:	Proceedings of the ... IEEE International Conference on Acoustics, Speech and Signal Processing (1998) s. 1 - 5
Hlavní autoři:	Jin, Tao, Guan, Hongzheng, Xiao, Li, Qu, Gang, Wang, Yu-Ping
Médium:	Konferenční příspěvek
Jazyk:	angličtina
Vydáno:	IEEE 06.04.2025
Témata:	Autoencoders Convolutional neural networks Correlation functional connectivity generative adversarial network Generative adversarial networks Generators graph convolutional network Measurement Network analyzers Neuroscience Signal processing Speech processing
ISSN:	2379-190X
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