A new method for fMRI data processing: Neighborhood independent component correlation algorithm and its preliminary application

Independent component analysis (ICA) is a newly developed promising technique in signal processing applications. The effective separation and discrimination of functional Magnetic Resonance Imaging (fMRI) signals is an area of active research and widespread interest. Therefore, the development of an...

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Veröffentlicht in:	Science China. Information sciences 2002-10, Vol.45 (5), p.373-382
Hauptverfasser:	Chen, Huafu, Yao, Dezhong, Becker, Sue, Zhuo, Yan, Zeng, Min, Chen, Lin
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Data processing Independent component analysis Magnetic resonance imaging Signal processing Spatial distribution
Online-Zugang:	Volltext
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