Anna Christina Nobre

This study compares item-based and feature-based attention in visual working memory using behavioral and EEG measures, finding similar but distinct benefits for recall accuracy and neural oscillations.

The paper investigates how selective attention in working memory is preserved in aging, finding that attention-related brain activity and memory performance remain robust.

The paper examines the relationship between white matter connectome efficiency, intelligence, and educational attainment in children, finding that distributed network properties are more predictive than voxel-wise analyses.

This study introduces a temporally unconstrained decoding method to track trial-specific neural dynamics in stimulus processing and decision making, revealing consistent but time-varying processing stages.

The paper identifies frequency-specific phase-coupling networks in resting-state magnetoencephalography data, revealing distinct brain states associated with sensory, motor, and higher-order cognitive networks.

The paper uses EEG decoding to show anticipation enhances target coding and delays distractor interference in visual perception tasks with temporal distractors.

This study shows that long-term memories guide attention dynamically based on learned temporal associations, enhancing target detection and discrimination when timing matches learned contingencies.