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Disturbed ConsciousnessNew Essays on Psychopathology and Theories of Consciousness$
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Rocco J. Gennaro

Print publication date: 2015

Print ISBN-13: 9780262029346

Published to MIT Press Scholarship Online: May 2016

DOI: 10.7551/mitpress/9780262029346.001.0001

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Prediction Error Minimization, Mental and Developmental Disorder, and Statistical Theories of Consciousness

Prediction Error Minimization, Mental and Developmental Disorder, and Statistical Theories of Consciousness

Chapter:
(p.293) 12 Prediction Error Minimization, Mental and Developmental Disorder, and Statistical Theories of Consciousness
Source:
Disturbed Consciousness
Author(s):

Jakob Hohwy

Publisher:
The MIT Press
DOI:10.7551/mitpress/9780262029346.003.0012

Jakob Hohwy seeks to recover an approach to consciousness from a general theory of brain function, namely the prediction error minimization theory. The way this theory applies to mental and developmental disorder demonstrates its relevance to consciousness. The resulting view is discussed in relation to a contemporary theory of consciousness, namely, the idea that conscious perception depends on Bayesian metacognition which is also supported by considerations of psychopathology. This Bayesian theory is first disconnected from the higher-order thought theory, and then, via a prediction error conception of action, connected instead to the global workspace theory. Considerations of mental and developmental disorder therefore show that a very general theory of brain function is relevant to explaining the structure of conscious perception. Furthermore, Hohwy argues that this theory can unify two contemporary approaches to consciousness in a move that seeks to elucidate the fundamental mechanism for the selection of representational content into consciousness.

Keywords:   Prediction Error Minimization, Consciousness, Bayesian Metacognition, Higher-Order Thoughts, Global Workspace Theory, Psychopathology, Developmental Disorder, Statistical Theory

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