MUC (Memory, Unification, Control): A Model on the Neurobiology of Language 
Beyond Single Word Processing

Hagoort, Peter

doi:10.1016/B978-0-12-407794-2.00028-6

Item

ITEM ACTIONSEXPORT

Add to Basket

Local TagsStatisticsRelease HistoryDetailsSummary

Released

Book Chapter

MUC (Memory, Unification, Control): A Model on the Neurobiology of Language Beyond Single Word Processing

MPS-Authors

/persons/resource/persons69

Hagoort, Peter
Neurobiology of Language Department, MPI for Psycholinguistics, Max Planck Society;
Donders Institute for Brain, Cognition and Behaviour, External Organizations;

Locator

There are no locators available

Fulltext (public)

hagoort_2016_MUC.pdf
(Publisher version), 874KB

Supplementary Material (public)

There is no public supplementary material available

Citation

Hagoort, P. (2016). MUC (Memory, Unification, Control): A Model on the Neurobiology of Language Beyond Single Word Processing. In G. Hickok, & S. Small (Eds.), Neurobiology of language (pp. 339-347). Amsterdam: Elsever. doi:10.1016/B978-0-12-407794-2.00028-6.

Cite as: http://hdl.handle.net/11858/00-001M-0000-0028-5D3F-A

Abstract

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 beyond the classical core regions for language is shown. Attentional networks as well as networks for inferential processing are crucial to realize language comprehension beyond single word processing and beyond decoding propositional content.