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  Implicit artificial syntax processing: Genes, preference, and bounded recursion

Folia, V., Forkstam, C., Ingvar, M., Hagoort, P., & Petersson, K. M. (2011). Implicit artificial syntax processing: Genes, preference, and bounded recursion. Biolinguistics, 5(1/2), 105-132.

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Folia_2011_Implicit Artificial Syntax Processing_Biolinguistics.pdf (Publisher version), 581KB
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Folia_2011_Implicit Artificial Syntax Processing_Biolinguistics.pdf
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Folia, Vasiliki1, 2, 3, 4, Author           
Forkstam, Christian5, Author           
Ingvar, Martin4, Author
Hagoort, Peter1, 2, 3, Author           
Petersson, Karl Magnus1, 2, 3, 5, Author           
Affiliations:
1Unification, MPI for Psycholinguistics, Max Planck Society, Nijmegen, NL, ou_55219              
2Neurobiology of Language Department, MPI for Psycholinguistics, Max Planck Society, Nijmegen, NL, ou_792551              
3Donders Institute for Brain, Cognition and Behaviour, External Organizations, ou_55236              
4Karolinska Institutet Stockholm Brain Institute Cognitive Neurophysiology Research Group, ou_persistent22              
5Universidade do Algarve Institute of Biotechnology & Bioengineering CBME Cognitive Neuroscience Research Group, ou_persistent22              

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Free keywords: artificial grammar learning; artificial language; Broca’s region; CNTNAP2; fMRI; FOXP2; genes, grammaticality classification; natural language; preference classification; syntax
 Abstract: The first objective of this study was to compare the brain network engaged by preference classification and the standard grammaticality classification after implicit artificial syntax acquisition by re-analyzing previously reported event-related fMRI data. The results show that preference and grammaticality classification engage virtually identical brain networks, including Broca’s region, consistent with previous behavioral findings. Moreover, the results showed that the effects related to artificial syntax in Broca’s region were essentially the same when masked with variability related to natural syntax processing in the same participants. The second objective was to explore CNTNAP2-related effects in implicit artificial syntax learning by analyzing behavioral and event-related fMRI data from a subsample. The CNTNAP2 gene has been linked to specific language impairment and is controlled by the FOXP2 transcription factor. CNTNAP2 is expressed in language related brain networks in the developing human brain and the FOXP2–CNTNAP2 pathway provides a mechanistic link between clinically distinct syndromes involving disrupted language. Finally, we discuss the implication of taking natural language to be a neurobiological system in terms of bounded recursion and suggest that the left inferior frontal region is a generic on-line sequence processor that unifies information from various sources in an incremental and recursive manner.

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Language(s): eng - English
 Dates: 20112011
 Publication Status: Issued
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 Rev. Type: Peer
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Title: Biolinguistics
Source Genre: Journal
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Pages: - Volume / Issue: 5 (1/2) Sequence Number: - Start / End Page: 105 - 132 Identifier: ISSN: 1450-3417
URI: http://www.biolinguistics.eu/index.php/biolinguistics/index