Inter-subject pattern analysis: A straightforward and powerful scheme for group-level MVPA
Multivariate pattern analysis (MVPA) has become vastly popular for analyzing functional neuroimaging data. At the group level, two main strategies are used in the literature. The standard one is hierarchical, combining the outcomes of within-subject decoding results in a second-level analysis. The a...
Main Authors: | Qi Wang, Bastien Cagna, Thierry Chaminade, Sylvain Takerkart |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2020-01-01
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Series: | NeuroImage |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S1053811919307967 |
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