Figure 3.

Spatial reproducibility and global signal‐to‐noise (gSNR) are both plotted as a function of sample size, for different regularizer/classifier model combinations; gSNR is a monotonic function of reproducibility. Panels represent different classifiers of linear discriminant (LD), quadratic discriminant (QD), logistic regression (LR), and support vector machines (SVM). Each curve represents median reproducibility across subjects (with interquartile error bars), for a different regularization method. Results are shown for three different task contrasts, going from strongest (top row; FXvDM) to weakest (bottom row; PMvDM). [Color figure can be viewed in the online issue, which is available at http://wileyonlinelibrary.com.]