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The Neuroscience of Implicit Learning
被引:20
|作者:
Williams, John N.
[1
]
机构:
[1] Univ Cambridge, Cambridge, England
来源:
关键词:
artificial grammar learning;
statistical learning;
sequence learning;
serial reaction time task;
fMRI;
INFERIOR FRONTAL-CORTEX;
MEDIAL TEMPORAL-LOBE;
REACTION-TIME-TASK;
ARTIFICIAL GRAMMAR;
PARKINSONS-DISEASE;
BROCAS AREA;
INDIVIDUAL-DIFFERENCES;
NEURAL BASIS;
SENTENCE COMPREHENSION;
HIPPOCAMPAL SYSTEM;
D O I:
10.1111/lang.12405
中图分类号:
G40 [教育学];
学科分类号:
040101 ;
120403 ;
摘要:
Over the past decades, research employing artificial grammar, sequence learning, and statistical learning paradigms has flourished, not least because these methods appear to offer a window, albeit with a restricted view, on implicit learning processes underlying natural language learning. But these paradigms usually provide relatively little exposure, use meaningless stimuli, and do not even necessarily target natural language structures. So the question arises whether they engage the same brain regions as natural language. The aim of this review is to use data from brain imaging, brain stimulation, and the effects of brain damage to identify the main brain regions that show sensitivity to structural regularities in implicit learning paradigms and to consider their relationship to natural language processing and learning.
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页码:255 / 307
页数:53
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