Lusha Zhu

The paper investigates how dynamic verbal coordination arises through a hybrid model combining global semantic constraints and local partner-sensitive adjustments in collaborative word-generation tasks.

The paper improves the validity of neural predictors of deception by identifying and removing confounding signals using novel machine learning methods.

This study investigates how social network structures influence human learning through a real-time distributed learning task, showing that learning is weighted toward well-connected neighbors based on informativeness.

The paper shows that the ventromedial prefrontal cortex encodes probabilistic inferences of cooperative speaker choices during communication, with striatum reflecting updates on intended meaning.

The paper investigates neural mechanisms of context-dependent inequity aversion using a combination of behavioral games and neuroimaging, revealing dissociable insula activity patterns for advantageous and disadvantageous inequity.