A latent world model of the brain, trained to predict the next latent fMRI state from past brain states and current movie stimuli, outperforms regression-based encoders in causal multi-step rollout on three naturalistic movie-fMRI benchmarks.
Slow cortical dynamics and the accumulation of information over long timescales,
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NeuroWorld: A Latent Brain World Model for Stimulus-Conditioned Human Brain Dynamics
A latent world model of the brain, trained to predict the next latent fMRI state from past brain states and current movie stimuli, outperforms regression-based encoders in causal multi-step rollout on three naturalistic movie-fMRI benchmarks.