ArticleJournal of neurolinguistics2015
The nature of the language input affects brain activation during learning from a natural language.
Article in Journal of neurolinguistics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- Five Additional Evidence-Based Principles to Facilitate Grammar Development for Children With Developmental Language Disorder.American journal of speech-language pathology · 2024Article
- Elucidating a statistical learning brain network: Coordinate-based meta-analyses and functional connectivity profiles of artificial grammar learning in healthy adults.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- Learning words without trying: Daily second language podcasts support word-form learning in adults.Psychonomic bulletin & review · 2023Article
- Brain-correlates of processing local dependencies within a statistical learning paradigm.Scientific reports · 2022Article
- Differential activation of a frontoparietal network explains population-level differences in statistical learning from speech.PLoS biology · 2022Article
- Language statistical learning responds to reinforcement learning principles rooted in the striatum.PLoS biology · 2021Article
- Capacities and neural mechanisms for auditory statistical learning across species.Hearing research · 2019Review
- Learning Without Trying: The Clinical Relevance of Statistical Learning.Language, speech, and hearing services in schools · 2018Review
- Neural Signatures of Spatial Statistical Learning: Characterizing the Extraction of Structure from Complex Visual Scenes.Journal of cognitive neuroscience · 2017Article
- Do infants retain the statistics of a statistical learning experience? Insights from a developmental cognitive neuroscience perspective.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2017Review
- An fMRI study of implicit language learning in developmental language impairment.NeuroImage. Clinical · 2017Article
- Neural Correlates of Morphology Acquisition through a Statistical Learning Paradigm.Frontiers in psychology · 2017Article
- Sampling over Nonuniform Distributions: A Neural Efficiency Account of the Primacy Effect in Statistical Learning.Journal of cognitive neuroscience · 2016Article
- A stereoscopic system for viewing the temporal evolution of brain activity clusters in response to linguistic stimuli.Proceedings of SPIE--the International Society for Optical Engineering · 2014Article
- Young School-Aged Children Are Sensitive to Simple and Complex Sequential Patterns in a Modified Serial Reaction Time Task.Infant and child developmentArticle
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
Artificial language studies have demonstrated that learners are able to segment individual word-like units from running speech using the transitional probability information. However, this skill has rarely been examined in the context of natural languages, where stimulus parameters can be quite different. In this study, two groups of English-speaking learners were exposed to Norwegian sentences over the course of three fMRI scans. One group was provided with input in which transitional probabilities predicted the presence of target words in the sentences. This group quickly learned to identify the target words and fMRI data revealed an extensive and highly dynamic learning network. These results were markedly different from activation seen for a second group of participants. This group was provided with highly similar input that was modified so that word learning based on syllable co-occurrences was not possible. These participants showed a much more restricted network. The results demonstrate that the nature of the input strongly influenced the nature of the network that learners employ to learn the properties of words in a natural language.
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