Yu-Jung Chen

This paper introduces a biologically inspired deep neural network model for visual emotion processing and shows it accurately predicts human emotion ratings and aligns with amygdala activity.

This study investigates how repeated stimulus exposure affects neural responses in the primary visual cortex, revealing a two-stage learning process involving fatigue and sharpening mechanisms.