Yuening Yan

The paper shows how task demands dynamically structure feature selection, routing, and integration in the human brain using dynamic faces and MEG data.

The paper identifies a functional social pathway in the brain that computes dynamic facial movements for emotion categorization using MEG data and representational interaction measures.

The paper shows that the strength of predicted category features biases decision behavior by using classifiers to analyze reactivation of specific stimulus features.

This study shows that top-down predictions of visual features reverse bottom-up processing in the occipito-ventral pathway, improving categorization speed and visual representation.

The paper shows that top-down predictions from temporal to occipital cortex sharpen visual feature representations for faster categorization.

The paper shows how four stages of task-specific computations over the same visual inputs achieve different behaviors in dynamic brain networks.