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MVPA analysis procedure. Top, Valence-labeled voxel patterns (from a single ROI) used to train a linear support vector machine (SVM). Middle, Learned voxel weights used to predict valence of unlabeled test data (voxel patterns not used for training). Bottom, Cross-validation schemes for testing for stimulus-specific and stimulus-independent emotion representations.
