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Neural response development during distributional learning

  • We investigated online electrophysiological components of distributional learning, specifically of tones by listeners of a non tonal language. German listeners were presented with a bimodal distribution of syllables with lexical tones from a synthesized continuum based on Cantonese level tones. Tones were presented in sets of four standards (within-category tokens) followed by a deviant (across-category token). Mismatch negativity (MMN) was measured. Earlier behavioral data showed that exposure to this bimodal distribution improved both categorical perception and perceptual acuity for level tones [I]. In the present study we present analyses of the electrophysiological response recorded during this exposure, i.e., the development of the MMN response during distributional learning. This development over time is analyzed using Generalized Additive Mixed Models and results showed that the MMN amplitude increased for both within and across-category tokens, reflecting higher perceptual acuity accompanying category formation. This isWe investigated online electrophysiological components of distributional learning, specifically of tones by listeners of a non tonal language. German listeners were presented with a bimodal distribution of syllables with lexical tones from a synthesized continuum based on Cantonese level tones. Tones were presented in sets of four standards (within-category tokens) followed by a deviant (across-category token). Mismatch negativity (MMN) was measured. Earlier behavioral data showed that exposure to this bimodal distribution improved both categorical perception and perceptual acuity for level tones [I]. In the present study we present analyses of the electrophysiological response recorded during this exposure, i.e., the development of the MMN response during distributional learning. This development over time is analyzed using Generalized Additive Mixed Models and results showed that the MMN amplitude increased for both within and across-category tokens, reflecting higher perceptual acuity accompanying category formation. This is evidence that learners zooming in on phonological categories undergo neural changes associated with more accurate phonetic perception.zeige mehrzeige weniger

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Metadaten
Verfasserangaben:Natalie Boll-AvetisyanORCiDGND, Jessie S. NixonORCiD, Tomas O. Lentz, Liquan Liu, Sandrien van OmmenORCiD, Cagri Coeltekin, Jacolien van Rij
DOI:https://doi.org/10.21437/Interspeech.2018-2072
ISBN:978-1-5108-7221-9
ISSN:2308-457X
Titel des übergeordneten Werks (Englisch):19 th annual conference of the international speech communicaton association (INTERSPEECH 2018), VOLS 1-6: Speech research for emerging marjets in multilingual societies
Verlag:ISCA-International Speech Communication Association
Verlagsort:Baixas
Publikationstyp:Sonstiges
Sprache:Englisch
Jahr der Erstveröffentlichung:2018
Erscheinungsjahr:2018
Datum der Freischaltung:22.02.2022
Freies Schlagwort / Tag:Generalized additive mixed-effects modeling; distributional learning; lexical tone; mismatch negativity
Seitenanzahl:5
Erste Seite:1432
Letzte Seite:1436
Fördernde Institution:Research Networking grant (ESF) NetwordS [6609]; Leiden University AMT Individual Researcher Grant
Organisationseinheiten:Humanwissenschaftliche Fakultät / Strukturbereich Kognitionswissenschaften / Department Linguistik
DDC-Klassifikation:4 Sprache / 41 Linguistik / 410 Linguistik
Peer Review:Referiert
Publikationsweg:Open Access / Green Open-Access
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