Literature DB >> 17069474

Hierarchical and linear sequence processing: an electrophysiological exploration of two different grammar types.

Jörg Bahlmann1, Thomas C Gunter, Angela D Friederici.   

Abstract

The present study investigated the processing of two types of artificial grammars by means of event-related brain potentials. Two categories of meaningless CV syllables were applied in each grammar type. The two grammars differed with regard to the type of the underlying rule. The finite-state grammar (FSG) followed the rule (AB)n, thereby generating local transitions between As and Bs (e.g., n=2, ABAB). The phrase structure grammar (PSG) followed the rule AnBn, thereby generating center-embedded structures in which the first A and the last B embed the middle elements (e.g., n=2, [A[AB]B]). Two sequence lengths (n=2, n=4) were used. Violations of the structures were introduced at different positions of the syllable sequences. Early violations were situated at the beginning of a sequence, and late violations were placed at the end of a sequence. A posteriorly distributed early negativity elicited by violations was present only in FSG. This effect was interpreted as the possible reflection of a violated local expectancy. Moreover, both grammar-type violations elicited a late positivity. This positivity varied as a function of the violation position in PSG, but not in FSG. These findings suggest that the late positivity could reflect difficulty of integration in PSG sequences.

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Year:  2006        PMID: 17069474     DOI: 10.1162/jocn.2006.18.11.1829

Source DB:  PubMed          Journal:  J Cogn Neurosci        ISSN: 0898-929X            Impact factor:   3.225


  15 in total

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Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2012-07-19       Impact factor: 6.237

2.  Processing multiple non-adjacent dependencies: evidence from sequence learning.

Authors:  Meinou H de Vries; Karl Magnus Petersson; Sebastian Geukes; Pienie Zwitserlood; Morten H Christiansen
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2012-07-19       Impact factor: 6.237

3.  Cortical representation of the constituent structure of sentences.

Authors:  Christophe Pallier; Anne-Dominique Devauchelle; Stanislas Dehaene
Journal:  Proc Natl Acad Sci U S A       Date:  2011-01-11       Impact factor: 11.205

4.  Rule-based and Word-level Statistics-based Processing of Language: Insights from Neuroscience.

Authors:  Nai Ding; Lucia Melloni; Xing Tian; David Poeppel
Journal:  Lang Cogn Neurosci       Date:  2016-08-06       Impact factor: 2.331

5.  Similar Neural Correlates for Language and Sequential Learning: Evidence from Event-Related Brain Potentials.

Authors:  Morten H Christiansen; Christopher M Conway; Luca Onnis
Journal:  Lang Cogn Process       Date:  2012-01-01

6.  Simple rules can explain discrimination of putative recursive syntactic structures by a songbird species.

Authors:  Caroline A A van Heijningen; Jos de Visser; Willem Zuidema; Carel ten Cate
Journal:  Proc Natl Acad Sci U S A       Date:  2009-11-16       Impact factor: 11.205

7.  Different ERP profiles for learning rules over consonants and vowels.

Authors:  Júlia Monte-Ordoño; Juan M Toro
Journal:  Neuropsychologia       Date:  2017-02-20       Impact factor: 3.139

Review 8.  Artificial grammar learning meets formal language theory: an overview.

Authors:  W Tecumseh Fitch; Angela D Friederici
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2012-07-19       Impact factor: 6.237

9.  Second language processing shows increased native-like neural responses after months of no exposure.

Authors:  Kara Morgan-Short; Ingrid Finger; Sarah Grey; Michael T Ullman
Journal:  PLoS One       Date:  2012-03-28       Impact factor: 3.240

10.  The effect of discourse structure on depth of semantic integration in reading.

Authors:  Xiaohong Yang; Lijing Chen; Yufang Yang
Journal:  Mem Cognit       Date:  2014-02
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