Neural Correlates of Morphology Acquisition through a Statistical Learning Paradigm
AffiliationUniv Arizona, Dept Speech Language & Hearing Sci
MetadataShow full item record
PublisherFRONTIERS MEDIA SA
CitationNeural Correlates of Morphology Acquisition through a Statistical Learning Paradigm 2017, 8 Frontiers in Psychology
JournalFrontiers in Psychology
RightsCopyright © 2017 Sandoval, Patterson, Dai, Vance and Plante. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY).
Collection InformationThis item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at email@example.com.
AbstractThe neural basis of statistical learning as it occurs over time was explored with stimuli drawn from a natural language (Russian nouns). The input reflected the "rules" for marking categories of gendered nouns, without making participants explicitly aware of the nature of what they were to learn. Participants were scanned while listening to a series of gender-marked nouns during four sequential scans, and were tested for their learning immediately after each scan. Although participants were not told the nature of the learning task, they exhibited learning after their initial exposure to the stimuli. Independent component analysis of the brain data revealed five task- related sub- networks. Unlike prior statistical learning studies of word segmentation, this morphological learning task robustly activated the inferior frontal gyrus during the learning period. This region was represented in multiple independent components, suggesting it functions as a network hub for this type of learning. Moreover, the results suggest that subnetworks activated by statistical learning are driven by the nature of the input, rather than reflecting a general statistical learning system.
NoteOpen access journal.
VersionFinal published version