Conclusions about Neural Network to Brain Alignment are Profoundly Impacted by the Similarity Measure

This repository hosts code for "Conclusions about Neural Network to Brain Alignment are Profoundly Impacted by the Similarity Measure"

Figures

All subpanels for figures in the paper can be produced by running code in the figs.ipynb notebook, using the provided data in the results folder.

External files

To reproduce the results of this paper, you will have to access the datasets from the following papers:

• A massive 7T fMRI dataset to bridge cognitive neuroscience and artificial intelligence
• A self-supervised domain-general learning framework for human ventral stream representation
• Deep convolutional models improve predictions of macaque V1 responses to natural images
• Aligning Model and Macaque Inferior Temporal Cortex Representations Improves Model-to-Human Behavioral Alignment and Adversarial Robustness

Model Weights will also need to be downloaded.

• A self-supervised domain-general learning framework for human ventral stream representation
• SLIP: Self-supervision meets Language-Image Pre-training
• A unifying framework for functional organization in early and higher ventral visual cortex