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Intention-based and sensory-based predictions.

Álvaro Darriba1, Yi-Fang Hsu2,3, Sandrien Van Ommen4

  • 1Université de Paris, INCC UMR 8002, CNRS, F-75006, Paris, France. alvarodarriba@gmail.com.

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Humans use sensory and intention-based predictions to adapt to changing environments. This study shows these predictions are processed together, with intention-based prediction errors receiving unique later processing.

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Area of Science:

  • Cognitive Neuroscience
  • Computational Neuroscience
  • Psychology

Background:

  • Adaptation to environmental changes requires predicting future states.
  • Predictions can be sensory-based (learning relationships between events) or intention-based (acting to produce effects).
  • It remains unclear if these prediction types are processed independently or integrated.

Purpose of the Study:

  • To investigate whether sensory-based and intention-based predictions are processed independently or combined.
  • To examine how the brain processes prediction errors when these two prediction types conflict.

Main Methods:

  • An experiment was designed where participants predicted a final tone in a sequence.
  • Predictions were based on preceding tones (sensory) and/or the participant's intention.
  • The congruence between sensory and intention-based predictions was manipulated.

Main Results:

  • Prediction error responses were similar regardless of whether sensory or intention-based predictions were violated.
  • This indicates that both sensory and intention-based predictions are formulated and coexist simultaneously.
  • Violations of intention-based predictions elicited additional, later error responses compared to sensory-based prediction violations.

Conclusions:

  • Sensory and intention-based predictions are integrated into a common predictive process.
  • The brain processes violations of intention-based predictions differently, suggesting a distinct role for intentionality in predictive coding.
  • These findings advance our understanding of adaptive behavior and predictive processing in the brain.