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MUC (Memory, Unification, Control) and beyond
A neurobiological model of language is discussed that overcomes the shortcomings of the classical Wernicke-Lichtheim-Geschwind model. It is based on a subdivision of language processing into three components: Memory, Unification, and Control. The functional components as well as the neurobiological...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2013
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3709422/ https://www.ncbi.nlm.nih.gov/pubmed/23874313 http://dx.doi.org/10.3389/fpsyg.2013.00416 |
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author | Hagoort, Peter |
author_facet | Hagoort, Peter |
author_sort | Hagoort, Peter |
collection | PubMed |
description | A neurobiological model of language is discussed that overcomes the shortcomings of the classical Wernicke-Lichtheim-Geschwind model. It is based on a subdivision of language processing into three components: Memory, Unification, and Control. The functional components as well as the neurobiological underpinnings of the model are discussed. In addition, the need for extension of the model beyond the classical core regions for language is shown. The attention network and the network for inferential processing are crucial to realize language comprehension beyond single word processing and beyond decoding propositional content. It is shown that this requires the dynamic interaction between multiple brain regions. |
format | Online Article Text |
id | pubmed-3709422 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-37094222013-07-19 MUC (Memory, Unification, Control) and beyond Hagoort, Peter Front Psychol Psychology A neurobiological model of language is discussed that overcomes the shortcomings of the classical Wernicke-Lichtheim-Geschwind model. It is based on a subdivision of language processing into three components: Memory, Unification, and Control. The functional components as well as the neurobiological underpinnings of the model are discussed. In addition, the need for extension of the model beyond the classical core regions for language is shown. The attention network and the network for inferential processing are crucial to realize language comprehension beyond single word processing and beyond decoding propositional content. It is shown that this requires the dynamic interaction between multiple brain regions. Frontiers Media S.A. 2013-07-12 /pmc/articles/PMC3709422/ /pubmed/23874313 http://dx.doi.org/10.3389/fpsyg.2013.00416 Text en Copyright © 2013 Hagoort. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in other forums, provided the original authors and source are credited and subject to any copyright notices concerning any third-party graphics etc. |
spellingShingle | Psychology Hagoort, Peter MUC (Memory, Unification, Control) and beyond |
title | MUC (Memory, Unification, Control) and beyond |
title_full | MUC (Memory, Unification, Control) and beyond |
title_fullStr | MUC (Memory, Unification, Control) and beyond |
title_full_unstemmed | MUC (Memory, Unification, Control) and beyond |
title_short | MUC (Memory, Unification, Control) and beyond |
title_sort | muc (memory, unification, control) and beyond |
topic | Psychology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3709422/ https://www.ncbi.nlm.nih.gov/pubmed/23874313 http://dx.doi.org/10.3389/fpsyg.2013.00416 |
work_keys_str_mv | AT hagoortpeter mucmemoryunificationcontrolandbeyond |