Multiclass Sparse Bayesian Regression for fMRI-Based Prediction

Figure 5

Intersubject analysis. Histogram of the weights found by Gibbs-MCBR and corresponding 𝐳 values (each color of dots represents a different class), for the intersubject analyzes. We can see that Gibbs-MCBR creates clusters of informative and noninformative voxels and that the different classes are regularized differently, according to the relevance of the features in each of them.