Xavier Intes

Inverting Foundation Models of Brain Function with Simulation-Based Inference

This work pairs the brain emulator with large language models that generate news headlines from linguistic parameters such as valence, arousal, and dominance and shows that these parameters can be recovered from predicted brain maps, demonstrating that the emulator's synthetic neural encodings preserve information about the controlled stimulus dimensions.