Qi Lin

The paper identifies voxel patterns in the lateral prefrontal cortex that predict perceived visual uniformity and shows similarities to neural network representations.

This study identifies individual differences in how the lateral prefrontal cortex encodes visual features using computational models and fMRI data.

The paper shows that functional brain networks predict sustained attention and working memory in children and adults, with WM networks changing more from preadolescence to adulthood.

The paper develops a universal attention measure from fMRI data that predicts both task-general and task-specific attention performance and their neural mechanisms across multiple tasks.

This study develops a whole-brain functional connectivity model using fMRI data to predict individual differences in long-term memory, showing it is distinct from working memory networks.