Anmin Yang

This study uses machine learning to analyze neural signatures of feature and spatial attention, finding shared and distinct brain networks involved in each process.

The paper shows that deep convolutional neural networks trained for facial identity recognition develop expression-selective units with human-like perception characteristics when exposed to facial expressions.

This paper identifies a whole-brain functional connectivity network linked to non-verbal number acuity and arithmetic skills using connectome-based predictive modeling on resting-state fMRI data.