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Cortico-striatal language pathways dynamically adjust for syntactic complexity: A computational study
KTH, Skolan för datavetenskap och kommunikation (CSC), Beräkningsvetenskap och beräkningsteknik (CST). Karolinska Institutet, Sweden.
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2017 (Engelska)Ingår i: Brain and Language, ISSN 0093-934X, E-ISSN 1090-2155, Vol. 164, s. 53-62Artikel i tidskrift (Refereegranskat) Published
Abstract [en]

A growing body of literature supports a key role of fronto-striatal circuits in language perception. It is now known that the striatum plays a role in engaging attentional resources and linguistic rule computation while also serving phonological short-term memory capabilities. The ventral semantic and the dorsal phonological stream dichotomy assumed for spoken language processing also seems to play a role in cortico-striatal perception. Based on recent studies that correlate deep Broca-striatal pathways with complex syntax performance, we used a previously developed computational model of frontal-striatal syntax circuits and hypothesized that different parallel language pathways may contribute to canonical and non-canonical sentence comprehension separately. We modified and further analyzed a thematic role assignment task and corresponding reservoir computing model of language circuits, as previously developed by Dominey and coworkers. We examined the models performance under various parameter regimes, by influencing how fast the presented language input decays and altering the temporal dynamics of activated word representations. This enabled us to quantify canonical and non-canonical sentence comprehension abilities. The modeling results suggest that separate cortico-cortical and cortico-striatal circuits may be recruited differently for processing syntactically more difficult and less complicated sentences. Alternatively, a single circuit would need to dynamically and adaptively adjust to syntactic complexity.

Ort, förlag, år, upplaga, sidor
Academic Press, 2017. Vol. 164, s. 53-62
Nyckelord [en]
Cortico-striatal language network, Reservoir computing, Sentence comprehension, Striatum
Nationell ämneskategori
Neurovetenskaper
Identifikatorer
URN: urn:nbn:se:kth:diva-202838DOI: 10.1016/j.bandl.2016.08.005ISI: 000392689600007Scopus ID: 2-s2.0-84994052108OAI: oai:DiVA.org:kth-202838DiVA, id: diva2:1082675
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QC 20170317

Tillgänglig från: 2017-03-17 Skapad: 2017-03-17 Senast uppdaterad: 2018-01-13Bibliografiskt granskad

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Silverstein, David
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Beräkningsvetenskap och beräkningsteknik (CST)
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Brain and Language
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