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A conceptual framework for consciousness

This article argues that consciousness has a logically sound, explanatory framework, different from typical accounts that suffer from hidden mysticism. The article has three main parts. The first describes background principles concerning information processing in the brain, from which one can deduc...

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Detalles Bibliográficos
Autor principal: Graziano, Michael S. A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: National Academy of Sciences 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9170028/
https://www.ncbi.nlm.nih.gov/pubmed/35486693
http://dx.doi.org/10.1073/pnas.2116933119
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author Graziano, Michael S. A.
author_facet Graziano, Michael S. A.
author_sort Graziano, Michael S. A.
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description This article argues that consciousness has a logically sound, explanatory framework, different from typical accounts that suffer from hidden mysticism. The article has three main parts. The first describes background principles concerning information processing in the brain, from which one can deduce a general, rational framework for explaining consciousness. The second part describes a specific theory that embodies those background principles, the Attention Schema Theory. In the past several years, a growing body of experimental evidence—behavioral evidence, brain imaging evidence, and computational modeling—has addressed aspects of the theory. The final part discusses the evolution of consciousness. By emphasizing the specific role of consciousness in cognition and behavior, the present approach leads to a proposed account of how consciousness may have evolved over millions of years, from fish to humans. The goal of this article is to present a comprehensive, overarching framework in which we can understand scientifically what consciousness is and what key adaptive roles it plays in brain function.
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spelling pubmed-91700282022-06-07 A conceptual framework for consciousness Graziano, Michael S. A. Proc Natl Acad Sci U S A Perspective This article argues that consciousness has a logically sound, explanatory framework, different from typical accounts that suffer from hidden mysticism. The article has three main parts. The first describes background principles concerning information processing in the brain, from which one can deduce a general, rational framework for explaining consciousness. The second part describes a specific theory that embodies those background principles, the Attention Schema Theory. In the past several years, a growing body of experimental evidence—behavioral evidence, brain imaging evidence, and computational modeling—has addressed aspects of the theory. The final part discusses the evolution of consciousness. By emphasizing the specific role of consciousness in cognition and behavior, the present approach leads to a proposed account of how consciousness may have evolved over millions of years, from fish to humans. The goal of this article is to present a comprehensive, overarching framework in which we can understand scientifically what consciousness is and what key adaptive roles it plays in brain function. National Academy of Sciences 2022-04-29 2022-05-03 /pmc/articles/PMC9170028/ /pubmed/35486693 http://dx.doi.org/10.1073/pnas.2116933119 Text en Copyright © 2022 the Author(s). Published by PNAS. https://creativecommons.org/licenses/by-nc-nd/4.0/This open access article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) .
spellingShingle Perspective
Graziano, Michael S. A.
A conceptual framework for consciousness
title A conceptual framework for consciousness
title_full A conceptual framework for consciousness
title_fullStr A conceptual framework for consciousness
title_full_unstemmed A conceptual framework for consciousness
title_short A conceptual framework for consciousness
title_sort conceptual framework for consciousness
topic Perspective
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9170028/
https://www.ncbi.nlm.nih.gov/pubmed/35486693
http://dx.doi.org/10.1073/pnas.2116933119
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