A generic framework for embedding human brain function with temporally correlated autoencoder

Learning an effective and compact representation of human brain function from high-dimensional fMRI data is crucial for studying the brain’s functional organization. Traditional representation methods such as independent component analysis (ICA) and sparse dictionary learning (SDL) mainly rely on ma...

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Veröffentlicht in:	Medical image analysis 2023-10, Vol.89, p.102892-102892, Article 102892
Hauptverfasser:	Zhao, Lin, Wu, Zihao, Dai, Haixing, Liu, Zhengliang, Hu, Xintao, Zhang, Tuo, Zhu, Dajiang, Liu, Tianming
Format:	Artikel
Sprache:	eng
Schlagworte:	Brain function representation Embedding regularity/variability Temporally correlated autoencoder
Online-Zugang:	Volltext
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