Why neural foundation models work, and what they might-and might not-teach us about the brain

About this episode

The episode discusses the generalization capabilities of neural foundation models and their implications for understanding brain function.

These models can partly generalize across species, brain regions and tasks, suggesting that a set of machine-learnable rules govern neural population activity. But will we be able to understand them?

Topics covered

• neural foundation models
• machine learning
• brain activity

Keywords

• generalization
• species
• brain regions
• tasks

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