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Feature-specific predictive processing: What's in a prediction error?

David Richter1,2, Cem Uran3,4, Martin Vinck3,4

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|December 22, 2025
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Summary
This summary is machine-generated.

Sensory prediction errors may reflect high-level surprise, challenging traditional views. This suggests predictive processing in the brain has roles beyond simply reducing redundancy.

Keywords:
convolutional neural networksdeep neural networksfMRIfiring ratesgamma oscillationshierarchypredictabilityprediction errorpredictive codingpredictive processingvisual cortex

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Area of Science:

  • Neuroscience
  • Cognitive Science
  • Computational Neuroscience

Background:

  • Predictive processing theories emphasize sensory prediction errors.
  • The nature of surprise within these errors is not well understood.
  • Classical accounts focus on redundancy reduction.

Purpose of the Study:

  • To investigate the nature of surprise in sensory prediction errors.
  • To explore the role of predictive processing beyond redundancy reduction.

Main Methods:

  • Review of recent neuroscientific studies.
  • Analysis of evidence from early sensory areas.

Main Results:

  • Prediction errors, even in early sensory regions, may represent high-level surprise.
  • This finding offers new insights into predictive processing mechanisms.

Conclusions:

  • The brain's predictive processing may involve more complex computations than previously thought.
  • Surprise in sensory prediction errors could signal more than just unexpected sensory input.