Claire H. C. Chang

This study examines how neural synchronization between speakers and listeners during storytelling reflects a 'herding effect' where listeners follow the speaker's brain activity patterns, enhancing narrative engagement.

The paper uses fMRI to show a fixed sequence of response lags between brain networks during narrative comprehension, consistent across stories and supported by a computational model.

This study investigates how the brain integrates and segregates information during narrative processing, showing that neural patterns specific to storylines are reinstated during transitions and that motif reinstatement correlates with better integration of events.

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