Juan Eloy Arco

This study uses fMRI to investigate how the brain represents current and intended task sets during sequential face classification tasks, finding distinct neural regions for each type of information.

This study uses fMRI and representational similarity analysis to examine how brain regions organize novel task encoding based on control-related variables and reward expectations.

The paper compares atlas-based methods to Searchlight for identifying informative brain regions in fMRI data, finding they perform well for large differences but only ABLA works for small differences.

This study extends the dual model of cognitive control to novel instructed tasks, showing both fronto-parietal and cingulo-opercular networks are involved in transient and sustained control mechanisms.

This study compares pattern estimation methods and statistical tests in fMRI decoding, finding LSS and Stelzer's method most effective for handling overlapping signals in event-related designs.