Mai Nguyen

This study shows that neural coupling between teachers and students during lectures correlates with learning outcomes, using fMRI and intersubject correlation.

This study introduces a neural measure called neural alignment to predict learning outcomes by comparing students' brain activity to experts and peers in a computer science course.

The paper introduces a benchmark dataset of fMRI data from human subjects listening to naturalistic stories for evaluating language and narrative comprehension models.

The paper shows that shared interpretations of abstract narratives correlate with similar neural responses in the default mode network across different modalities.

The paper shows that neural responses to small narrative changes are amplified through the brain's temporal processing hierarchy, correlating with regions' time-integration capabilities.

The paper models neuronal population responses and their transformations into BOLD and ECoG signals, finding that BOLD and ECoG provide complementary information with distinct relationships to neuronal synchrony.