Hongjing Lu

This study shows humans and neural networks can learn context-dependent statistical patterns even with changing, unsignaled contexts, and identifies distributed representations as key to preventing interference.

This study compares gaze patterns between CCTV experts and novices to identify differences in visual feature attention during surveillance footage analysis.

The paper uses neuroimaging and computational modeling to show that semantic relations are represented in the brain as distributed patterns over abstract relations in parietal cortex.