2012
DOI: 10.1016/j.bandl.2010.08.003
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What artificial grammar learning reveals about the neurobiology of syntax

Abstract: a b s t r a c tIn 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 predic… Show more

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Cited by 169 publications
(243 citation statements)
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“…Broca's region in humans and the analogous neural region in the monkey brain (F5) may act as a supramodal processor for planned, structured action sequences represented by both the hands and the mouth (e.g. Petersson, Folia, & Hagoort, 2012;Pulvermüller & Fadiga, 2010). This sort of system supports perceptionaction coupling and may have acted as a catalyst for the emergence of syntactic processes found in modern human language (e.g.…”
Section: Introductionmentioning
confidence: 99%
“…Broca's region in humans and the analogous neural region in the monkey brain (F5) may act as a supramodal processor for planned, structured action sequences represented by both the hands and the mouth (e.g. Petersson, Folia, & Hagoort, 2012;Pulvermüller & Fadiga, 2010). This sort of system supports perceptionaction coupling and may have acted as a catalyst for the emergence of syntactic processes found in modern human language (e.g.…”
Section: Introductionmentioning
confidence: 99%
“…As expected, semantic deficits were correlated with atrophy of the anterior temporal lobes. Separately, the left frontal inferior lobe has been associated with the processing of syntax in normal subjects, 24 although parts of the temporal lobes may also be involved. 25 Whether involvement of these regions in ALS results in clinically detectable syntactic deficits remains unclear.…”
Section: Introductionmentioning
confidence: 99%
“…Typically, these tasks examine brain changes in activation, in which it may be difficult to separate new representations from learned processes. Examples of tasks that examine activation in training-based learning include artificial grammars (Petersson, Folia, & Hagoort, 2012), perceptual category learning (Poldrack et al, 2001), and motor learning (Toni, Krams, Turner, & Passingham, 1998). Instruction-based learning tasks such as algebra (Anderson et al, 2012 have also resulted in activation changes.…”
Section: Introductionmentioning
confidence: 99%