Alignment of Artificial Neural Networks with Human Eye Movement Patterns in Facial Expression Recognition
This study compares how convolutional neural networks and Vision Transformers align with human eye movement patterns during facial expression recognition, finding that ViT better captures sequential fixation strategies.
bioRxiv · Dec 15, 2025 · PreprintNeuroscience