Włodzisław Duch

This study investigates how brain networks reconfigure during reward prediction error processing in different experimental contexts using fMRI.

The paper introduces a toolbox for EEG signal processing that provides spatial filters and source reconstruction methods, with a focus on modularity and extensibility.

This study examines how brain network modularity changes during working memory training using fMRI, finding increased modularity and altered integration between key systems.