What artificial grammar learning reveals about the neurobiology of syntax

Detalhes bibliográficos
Autor(a) principal: Karl Magnus Petersson
Data de Publicação: 2012
Outros Autores: Folia, Vasiliki, Hagoort, Peter
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.1/11291
Resumo: In this paper we examine the neurobiological correlates of syntax, the processing of structured sequences, by comparing FMRI results on artificial and natural language syntax. We discuss these and similar findings in the context of formal language and computability theory. We used a simple right-linear unification grammar in an implicit artificial grammar learning paradigm in 32 healthy Dutch university students (natural language FMRI data were already acquired for these participants). We predicted that artificial syntax processing would engage the left inferior frontal region (BA 44/45) and that this activation would overlap with syntax-related variability observed in the natural language experiment. The main findings of this study show that the left inferior frontal region centered on BA 44/45 is active during artificial syntax processing of well-formed (grammatical) sequence independent of local subsequence familiarity. The same region is engaged to a greater extent when a syntactic violation is present and structural unification becomes difficult or impossible. The effects related to artificial syntax in the left inferior frontal region (BA 44/45) were essentially identical when we masked these with activity related to natural syntax in the same subjects. Finally, the medial temporal lobe was deactivated during this operation, consistent with the view that implicit processing does not rely on declarative memory mechanisms that engage the medial temporal lobe. In the context of recent FMRI findings, we raise the question whether Broca's region (or subregions) is specifically related to syntactic movement operations or the processing of hierarchically nested non-adjacent dependencies in the discussion section. We conclude that this is not the case. Instead, we argue 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, independent of whether there are any processing requirements related to syntactic movement or hierarchically nested structures. In addition, we argue that the Chomsky hierarchy is not directly relevant for neurobiological systems. (C) 2010 Elsevier Inc. All rights reserved.
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spelling What artificial grammar learning reveals about the neurobiology of syntaxSimple recurrent networksTime analog computationsInferior frontal-cortexSentence comprehensionWorking-memoryBrocas AreaFunctional localizationDynamical-systemsLanguage FacultyBrainIn this paper we examine the neurobiological correlates of syntax, the processing of structured sequences, by comparing FMRI results on artificial and natural language syntax. We discuss these and similar findings in the context of formal language and computability theory. We used a simple right-linear unification grammar in an implicit artificial grammar learning paradigm in 32 healthy Dutch university students (natural language FMRI data were already acquired for these participants). We predicted that artificial syntax processing would engage the left inferior frontal region (BA 44/45) and that this activation would overlap with syntax-related variability observed in the natural language experiment. The main findings of this study show that the left inferior frontal region centered on BA 44/45 is active during artificial syntax processing of well-formed (grammatical) sequence independent of local subsequence familiarity. The same region is engaged to a greater extent when a syntactic violation is present and structural unification becomes difficult or impossible. The effects related to artificial syntax in the left inferior frontal region (BA 44/45) were essentially identical when we masked these with activity related to natural syntax in the same subjects. Finally, the medial temporal lobe was deactivated during this operation, consistent with the view that implicit processing does not rely on declarative memory mechanisms that engage the medial temporal lobe. In the context of recent FMRI findings, we raise the question whether Broca's region (or subregions) is specifically related to syntactic movement operations or the processing of hierarchically nested non-adjacent dependencies in the discussion section. We conclude that this is not the case. Instead, we argue 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, independent of whether there are any processing requirements related to syntactic movement or hierarchically nested structures. In addition, we argue that the Chomsky hierarchy is not directly relevant for neurobiological systems. (C) 2010 Elsevier Inc. All rights reserved.Max Planck Institute for Psycholinguistics; Donders Institute for Brain, Cognition and Behaviour; FCT; LA; FEDER/POCI; Vetenskapsradet [8276]; Hedlunds Stiftelse; Stockholm County Council (ALF, FoUU)Academic Press Inc Elsevier ScienceSapientiaKarl Magnus PeterssonFolia, VasilikiHagoort, Peter2018-12-07T14:52:58Z2012-022012-02-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.1/11291eng0093-934X10.1016/j.bandl.2010.08.003info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-07-24T10:23:04Zoai:sapientia.ualg.pt:10400.1/11291Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T20:02:49.050604Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv What artificial grammar learning reveals about the neurobiology of syntax
title What artificial grammar learning reveals about the neurobiology of syntax
spellingShingle What artificial grammar learning reveals about the neurobiology of syntax
Karl Magnus Petersson
Simple recurrent networks
Time analog computations
Inferior frontal-cortex
Sentence comprehension
Working-memory
Brocas Area
Functional localization
Dynamical-systems
Language Faculty
Brain
title_short What artificial grammar learning reveals about the neurobiology of syntax
title_full What artificial grammar learning reveals about the neurobiology of syntax
title_fullStr What artificial grammar learning reveals about the neurobiology of syntax
title_full_unstemmed What artificial grammar learning reveals about the neurobiology of syntax
title_sort What artificial grammar learning reveals about the neurobiology of syntax
author Karl Magnus Petersson
author_facet Karl Magnus Petersson
Folia, Vasiliki
Hagoort, Peter
author_role author
author2 Folia, Vasiliki
Hagoort, Peter
author2_role author
author
dc.contributor.none.fl_str_mv Sapientia
dc.contributor.author.fl_str_mv Karl Magnus Petersson
Folia, Vasiliki
Hagoort, Peter
dc.subject.por.fl_str_mv Simple recurrent networks
Time analog computations
Inferior frontal-cortex
Sentence comprehension
Working-memory
Brocas Area
Functional localization
Dynamical-systems
Language Faculty
Brain
topic Simple recurrent networks
Time analog computations
Inferior frontal-cortex
Sentence comprehension
Working-memory
Brocas Area
Functional localization
Dynamical-systems
Language Faculty
Brain
description In this paper we examine the neurobiological correlates of syntax, the processing of structured sequences, by comparing FMRI results on artificial and natural language syntax. We discuss these and similar findings in the context of formal language and computability theory. We used a simple right-linear unification grammar in an implicit artificial grammar learning paradigm in 32 healthy Dutch university students (natural language FMRI data were already acquired for these participants). We predicted that artificial syntax processing would engage the left inferior frontal region (BA 44/45) and that this activation would overlap with syntax-related variability observed in the natural language experiment. The main findings of this study show that the left inferior frontal region centered on BA 44/45 is active during artificial syntax processing of well-formed (grammatical) sequence independent of local subsequence familiarity. The same region is engaged to a greater extent when a syntactic violation is present and structural unification becomes difficult or impossible. The effects related to artificial syntax in the left inferior frontal region (BA 44/45) were essentially identical when we masked these with activity related to natural syntax in the same subjects. Finally, the medial temporal lobe was deactivated during this operation, consistent with the view that implicit processing does not rely on declarative memory mechanisms that engage the medial temporal lobe. In the context of recent FMRI findings, we raise the question whether Broca's region (or subregions) is specifically related to syntactic movement operations or the processing of hierarchically nested non-adjacent dependencies in the discussion section. We conclude that this is not the case. Instead, we argue 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, independent of whether there are any processing requirements related to syntactic movement or hierarchically nested structures. In addition, we argue that the Chomsky hierarchy is not directly relevant for neurobiological systems. (C) 2010 Elsevier Inc. All rights reserved.
publishDate 2012
dc.date.none.fl_str_mv 2012-02
2012-02-01T00:00:00Z
2018-12-07T14:52:58Z
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dc.language.iso.fl_str_mv eng
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10.1016/j.bandl.2010.08.003
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
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dc.publisher.none.fl_str_mv Academic Press Inc Elsevier Science
publisher.none.fl_str_mv Academic Press Inc Elsevier Science
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