arrow
返回

Implicit Learning and Dyslexia

delete2008-12-02
delete62
delete
OA
AI
V
Vasiliki Folia
J
Julia Uddén
C
Christian Forkstam
M
Martin Ingvar
P
Peter Hagoort
K
Karl Magnus Petersson *
DOI:10.1196/annals.1416.012delete
delete原文链接
delete分享
delete收藏
查看原文
摘要

摘要

En 中文
Several studies have reported an association between dyslexia and implicit learning deficits. It has been suggested that the weakness in implicit learning observed in dyslexic individuals may be related to sequential processing and implicit sequence learning. In the present article, we review the current literature on implicit learning and dyslexia. We describe a novel, forced-choice structural mere exposure artificial grammar learning paradigm and characterize this paradigm in normal readers in relation to the standard grammaticality classification paradigm. We argue that preference classification is a more optimal measure of the outcome of implicit acquisition since in the preference version participants are kept completely unaware of the underlying generative mechanism, while in the grammaticality version, the subjects have, at least in principle, been informed about the existence of an underlying complex set of rules at the point of classification (but not during acquisition). On the basis of the mere exposure effect, we tested the prediction that the development of preference will correlate with the grammaticality status of the classification items. In addition, we examined the effects of grammaticality (grammatical/nongrammatical) and associative chunk strength (ACS; high/low) on the classification tasks (preference/grammaticality). Using a balanced ACS design in which the factors of grammaticality (grammatical/nongrammatical) and ACS (high/low) were independently controlled in a 2 x 2 factorial design, we confirmed our predictions. We discuss the suitability of this task for further investigation of the implicit learning characteristics in dyslexia.
Keyword:
artificial grammar learning
structural mere-exposure effect
dyslexia
inferior frontal cortex
basal ganglia
AI总结

AI总结

对已上传原文的论文进行重点信息的提取,主要内容包括:简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。

期刊

暂无期刊信息

机构

M
Max Planck Society
学者数:
8.2W
论文数: 7.7W
被引数: 3.3W
K
Karolinska Institutet
学者数:
5.8W
论文数: 4.8W
被引数: 7.1W
引用论文

引用论文

err分享
err收藏
Excitation of Selected Proton Signals in NMR of Isotopically Labeled Macromolecules
err1999-05-01
err0
PREAI
errPhilippe Pelupessy; Elisabetta Chiarparin; Geoffrey Bodenhausen
err分享
err收藏
err分享
err收藏
err分享
err收藏
Isolation and Structural Characterization of 1-Zirconacyclopent-3-yne, Five-Membered Cyclic Alkynes
err2002-01-25
err0
PREAI
errNoriyuki Suzuki; Masayoshi Nishiura; Yasuo Wakatsuki
err分享
err收藏
Slope activity in Gale crater, Mars
err2015-07-01
err0
PREAI
errColin M. Dundas; Alfred S. McEwen
err分享
err收藏
学者 查看更多内容