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Towards characterizing the canonical computations generating phenomenal experience.

Megan A K Peters1

  • 1Department of Cognitive Sciences, University of California Irvine, Irvine, CA 92697, USA.

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Summary
This summary is machine-generated.

Perceptual metacognition offers a unique window into subjective experience by linking internal states to observable behavior. Studying its properties can unlock the neural and computational basis of consciousness.

Keywords:
Computational modelingConsciousnessMetacognitionPhenomenologyQualia

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Area of Science:

  • Cognitive Neuroscience
  • Philosophy of Mind
  • Computational Psychiatry

Background:

  • The neural and computational basis of subjective qualitative experience remains a significant challenge in science and philosophy.
  • Perceptual metacognition, the awareness of one's own perceptions, presents a promising avenue for investigation.

Purpose of the Study:

  • To review literature on perceptual metacognition and identify properties relevant to studying subjective experience.
  • To propose computational models of metacognition as a tractable approach to understanding consciousness.

Main Methods:

  • Review of psychological, neuroscience, and philosophical literature.
  • Analysis of five unique properties of perceptual metacognition.
  • Proposal of computational modeling strategies.

Main Results:

  • Perceptual metacognition generates subjective feelings (e.g., confidence).
  • It formalizes introspection by being about internal representations.
  • Its recursive nature may reveal canonical computations.
  • It connects to observable behavior and requires sophisticated modeling.

Conclusions:

  • Computational models of metacognition are an empirically tractable first step toward characterizing the generation of qualitative experience.
  • Leveraging developments in related fields can yield new insights into how the brain constructs subjective conscious experiences.