Damiano Grignolio

This study uses multivariate EEG and EEG/MRI analysis to investigate how attention resolves representational ambiguity in the human brain, identifying mechanisms and timing of neural processes involved.

The paper uses EEG to show that visual attention is influenced by object boundaries, supporting object-based attentional prioritization.

This study investigates how neural oscillations support continuous error correction during force control using EEG and an isometric force task with and without visual feedback.

This paper uses linear mixed modelling to analyze trial-wise relationships between N2pc variability, reaction time, and stimulus parameters, finding that the NT component is functionally linked to target processing and distractor interference.

The paper uses EEG and EEG/MRI with machine learning to identify how attention influences the formation of semantic concepts in the brain, finding that N2pc amplitude predicts category information in specific brain regions.