Consciousness (Unconsciously) Designs Itself
Here, I explore the idea that consciousness is something that the brain learns to do rather than an intrinsic property of certain neural states and not others. Starting from the assumption that neural activity is inherently unconscious, the question thus becomes: how does the brain
learn to be conscious? I suggest that consciousness arises as a result of the brain's continuous attempts at predicting not only the consequences of its actions on the world and on other agents, but also the consequences of activity in one cerebral region on activity in other regions.
By this account, the brain continuously and unconsciously learns to redescribe its own activity to itself, so developing systems of metarepresentations that characterize and qualify the target first-order representations. Such learned redescriptions, enriched by the emotional value associated
with them, form the basis of conscious experience. Learning and plasticity are thus central to consciousness, to the extent that experiences only occur in experiencers that have learned to know they possess certain first-order states and have learned to care more about certain states than
others. This is what I call the 'radical plasticity thesis'. In a sense, thus, this is the enactive perspective, but turned both inwards and (further) outwards. Consciousness involves 'signal detection on the mind'; the conscious mind is the brain's (non-conceptual,
implicit) theory about itself.
Keywords: consciousness; metacognition; neural networks; prediction
Document Type: Research Article
Affiliations: Consciousness, Cognition & Computation Group Université libre de Bruxelles, 50 ave. F.-D. Roosevelt CP191, Brussels, Belgium., Email: [email protected]
Publication date: 01 January 2019
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