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...
| 主要な著者: | , , , |
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| フォーマット: | 論文 |
| 言語: | English |
| 出版事項: |
Elsevier
2020-01-01
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| シリーズ: | NeuroImage |
| 主題: | |
| オンライン･アクセス: | http://www.sciencedirect.com/science/article/pii/S1053811919307967 |