generative causal testing
2 published articles
LLMs & ModelsFeatured4 min read
Neuroscience
The neuroscience AI that finally cracks open the brain's black box
Generative causal testing (GCT) distills LLM-based brain-prediction models into concise verbal explanations, then uses an LLM to write stories that causally test those claims in fMRI. In experiments, GCT confirmed known selectivity, teased apart neighboring place-processing regions, and discovered new prefrontal micro-regions tuned to concepts like dialogue and measurements.
2026-07-11
AI4 min read
Nature Neuroscience paper
Microsoft's new method turns black-box brain AI into readable theories
GCT translates uninterpretable LLM-based brain models into short phrases like 'food preparation' or 'location names,' then uses an LLM to write stories that causally test those explanations in real subjects. The method promises to bridge predictive AI and human-readable scientific theory.
2026-07-05