Meir Meshulam

This study shows that the multiple-demand network encodes content-sensitive linguistic representations during naturalistic comprehension, independent of cognitive demand.

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.

This study shows that repeated performance in complex visual problem-solving tasks leads to reduced cortical responses in specific brain regions, but not changes in response time.

The paper shows that saccade-related transients are suppressed in higher-level visual cortex but not early visual cortex in humans.