Matthew R. Johnson

This study shows that trial averaging improves EEG classification performance, especially when applied to both training and testing data, outperforming Mixup in some cases.

This study investigates how reward influences visual statistical learning, finding that high-value images enhance memory and neural responses compared to low-value images.

This paper introduces deep learning for neuroimaging analysis (dMVPA) and provides a software toolbox called DeLINEATE to facilitate its application.

The paper shows that different analysis workflows by 70 teams on the same fMRI dataset led to varied results, but meta-analysis found consensus in activated regions.