1. Multivariate analyses can examine responses that are jointly encoded in multiple voxels, unlike univariate analyses which look at individual voxels.
2. Multivariate approaches can utilize hidden quantities such as coupling strengths between neural signals that cannot be observed with univariate methods.
3. Classification models aim to predict a categorical variable from features, while regression predicts a continuous variable. Multivariate models consider responses across multiple voxels.