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Connecting conscious and unconscious processing.

Axel Cleeremans1

  • 1Université Libre de Bruxelles.

Cognitive Science
|August 5, 2014
PubMed
Summary
This summary is machine-generated.

Consciousness and unconscious processing share computational principles. The brain learns to redescribe its activity, creating metacognitive models that shape subjective experience through plasticity and learning.

Keywords:
Connectionist modelingConsciousnessLearningMetacognition

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Area of Science:

  • Cognitive Science
  • Neuroscience
  • Philosophy of Mind

Background:

  • Consciousness is a poorly understood phenomenon.
  • Classical cognitive approaches face challenges in explaining unconscious processing.

Purpose of the Study:

  • To explore how connectionism can elucidate the computational differences between conscious and unconscious processing.
  • To propose that conscious and unconscious processing are rooted in shared computational principles.

Main Methods:

  • Delineating conceptual challenges in classical cognition.
  • Highlighting contrasting computational principles of the connectionist approach.
  • Developing a perspective on brain self-re-description and internal model emergence.

Main Results:

  • Conscious and unconscious processing are fundamentally connected via shared computational principles.
  • The brain continuously and unconsciously learns to redescribe its activity.
  • Metacognitive internal models emerge from self-interaction, world interaction, and social interaction.

Conclusions:

  • Plasticity and learning are essential for consciousness and subjective experience.
  • The connectionist framework is well-suited to identify computational correlates of consciousness.
  • Understanding information processing mechanisms is key to unlocking the mystery of consciousness.