Research map / Vision-language and multimodal / Human and embodied modeling
A Dual-Stream Neural Network Explains the Functional Segregation of Dorsal and Ventral Visual Pathways in Human Brains
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| make the two branches differ only in input sampling (same learning objective) (ablation) | dual-stream model · fMRI dorsal vs ventral ROI segregation | functional segregation (separability) | No clear effect |
| make the two branches differ only in learning objective (saliency vs recognition) (ablation) | dual-stream model · fMRI dorsal vs ventral ROI segregation | functional segregation (separability) | Helped |
| differ in both input sampling and learning objective (full model) (ablation) | dual-stream model · fMRI dorsal vs ventral ROI segregation | functional segregation (separability) | Helped |
| use attention-driven fixations instead of random fixations (ablation) | WhereCNN and WhatCNN · fMRI encoding of movie responses | voxelwise encoding correlation r | Helped |
| use dual-stream branch instead of single-stream baseline CNN with same backbone | WhatCNN / WhereCNN · fMRI encoding of ventral / dorsal areas | ROI encoding correlation r | Helped |
| compare branches to AlexNet, ResNet18, ResNet34 | WhatCNN / WhereCNN · fMRI encoding | ROI encoding correlation r | Mixed |
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