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Why Language Processing Recruits Modality Specific Brain Regions: It Is Not About Understanding Words, but About
Zoé Cayol1, Tatjana A Nazir1,2
1Univ. Lyon, CNRS, UMR 5304 - Institut des Sciences Cognitives - Marc Jeannerod, Bron, FR.
Journal of Cognition
|October 12, 2020
Summary
Language processing recruits modality-specific brain regions not for word recognition, but to model situations using internal forward models (emulators) for accessing memories and context.
Area of Science:
- Neuroscience
- Cognitive Science
- Linguistics
Background:
- Debate on whether language comprehension necessitates modality-specific brain regions (perception/action).
- Brain imaging shows recruitment of these regions, but lesions don't erase word knowledge, questioning their essential role.
- The precise function of these recruited structures in language processing remains unclear.
Purpose of the Study:
- To re-examine the role of modality-specific brain regions in language processing from a novel perspective.
- To propose that these regions elaborate internal forward models (emulators) for accessing associative memories.
- To present a model where a linguistic system uses emulators and other systems for complementary information.
Main Methods:
- Theoretical examination of existing findings on modality-specific brain region recruitment.
- Postulation of the 'emulator' hypothesis for accessing associative memories.
- Development of a model integrating emulators within a broader linguistic system.
Main Results:
- Modality-specific brain regions are proposed to function as 'emulators' (internal forward models) in motor control.
- During language processing, emulators facilitate access to associative memories and context.
- Recruitment of these regions depends on linguistic context, not the word itself.
Conclusions:
- Modality-specific systems aid language processing by modeling depicted situations via memorized context, not direct word understanding.
- Emulators are one of several information sources exploited by a rule-based linguistic system.
- The proposed model offers predictions for future research on language and brain function.
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