Jointly Fusing Multi-scale Spatial-Logical Brain Networks: A Neural Decoding Method

Functional magnetic resonance imaging (fMRI) is a methodology for measuring human brain activities. It has become more and more popular in neural decoding due to its noninvasive. Neural decoding aims to establishing models to reconstruct external stimuli or features of stimuli from known brain respo...

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Vydáno v:	IEEE journal of biomedical and health informatics Ročník 27; číslo 1; s. 1 - 13
Hlavní autoři:	Li, Ziyu, Zhu, Zhiyuan, Li, Qing, Wu, Xia
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	United States IEEE 01.01.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Brain Brain - physiology Brain mapping Brain modeling Cognition Cognition & reasoning Cognitive ability Cognitive tasks Connectome Data integration Decoding Emotions Evaluation External stimuli Feature extraction Flow distribution Functional magnetic resonance imaging hemodynamic response Hemodynamic responses Humans Information flow Magnetic resonance imaging Magnetic Resonance Imaging - methods Modules multi-scale brain network Multiscale analysis Network topologies Neural coding Neural decoding Neuroimaging Reasoning Representations Signal generation spatial and logical reasoning Spatial discrimination learning Stimuli Support vector machines Task analysis Topology Wavelet transforms
ISSN:	2168-2194, 2168-2208, 2168-2208
On-line přístup:	Získat plný text
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