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Humans use distinct brain regions for specific predictions, forming modular internal world models. These models are integrated in the Precuneus, shaping perception across vision and language.

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Area of Science:

  • Cognitive Neuroscience
  • Neuroimaging
  • Computational Psychiatry

Background:

  • Internal predictive models are fundamental to human cognition theories.
  • The organization of these models (modular vs. unified) remains unclear.

Purpose of the Study:

  • To investigate the neural basis of internal world modeling.
  • To determine if the brain uses separate predictive models or a unified representation.

Main Methods:

  • Functional magnetic resonance imaging (fMRI) during naturalistic movie watching and narrative listening.
  • Analysis of prediction-error signals in distinct prefrontal cortex (PFC) subregions.

Main Results:

  • Three distinct midline PFC regions (ventromedial, anteromedial, dorsomedial) perform specific predictive operations: contextual (States), social (Agents), and transitional (Actions).
  • Prediction-error signals correlated with domain-specific belief updates.
  • Parallel predictions are integrated in the Precuneus, influencing ongoing experience across modalities.

Conclusions:

  • Humans utilize abstract, modular predictive models for processing both visual and linguistic information.
  • The brain fragments information into abstract domains before global integration for world modeling.