MUC (Memory, Unification, Control) and beyond
By Peter Hagoort. Frontiers in Psychology, 2013
402 citations recorded by the source corpus.
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.
Subfields: Cognitive Neuroscience, Developmental and Educational Psychology
View Paper: https://www.semanticscholar.org/paper/09427f9334657e3a135a4b7bd90859bb2f46d81c
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cognitive Neuroscience
- Peter Indefrey
- Peter Hagoort
- Roel M. Willems
- Matthias Schlesewsky
- Angela D. Friederici
- Susan M. Garnsey
- Mieko Ueno
- David Poeppel
In Developmental and Educational Psychology
- Peter Indefrey
- Peter Hagoort
- Roel M. Willems
- Matthias Schlesewsky
- Angela D. Friederici
- Mieko Ueno
- Susan M. Garnsey
- David Poeppel
Citations in the corpus
- The neurobiology of language beyond single words. (2014, methodology): “Three major deviations are worth highlighting: (a) Although not discussed in detail here (for more extended discussions, see Hagoort 2013, Amunts & Catani 2015) the connectivity of the language cortex in left perisylvian regions is much more extended than was proposed in the classical model and is…”
- ROSE: A Neurocomputational Architecture for Syntax (2023, unknown): “…for example, to ground N400 ERP effects directly from single-unit responses, with no causal-explanatory mechanism linking them (Samimizad et al., 2022), or models that relate neurotransmitter profiles to the N400, without a mechanistic bridge tying together these scales of analysis (Hagoort, 2013).”