David J. Acunzo

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.

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.