Yunfei Liu

This study shows that programming rapidly recruits pre-existing fronto-parietal neural networks for logical reasoning, using fMRI in novice programmers before and after a Python course.

The paper identifies neural signatures of orthographic processing in braille reading by comparing real and pseudowords using fMRI, showing distinct roles for posterior parietal cortices and somatosensory cortex.

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 investigates the neural basis of code comprehension and finds it shares resources with formal logical inference in the fronto-parietal network.