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Decoding the Representation of Cognition:the Principles and Applications of MVPA
利用脑成像多体素模式分析解码认知的神经表征:原理和应用

Keywords: MVPA,representation,fMRI,classification
多体素模式分析
,表征,功能磁共振成像,分类

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Abstract:

Multi-voxel pattern analysis(MVPA),which is based on machine learning theories,has gained great popularity over the past years as a new approach for fMRI data analysis.By training a classifier,MVPA categorizes multi-voxel patterns tuned by different cognitive states.Compared to conventional voxel-wise methods,this new approach provide higher sensitivity for detecting cognitive representations in the brain.It opens up the possibility for reading out mental states of human beings from the non-invasive recordi...

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