Cognitive and Neural Mechanisms of Probabilistic Category Learning

被引:1
|
作者
Li Kai-Yun [1 ]
Fu Qiu-Fang [1 ]
Fu Xiao-Lan [1 ]
机构
[1] Chinese Acad Sci, Inst Psychol, State Key Lab Brain & Cognit Sci, Beijing 100101, Peoples R China
基金
中国国家自然科学基金;
关键词
category learning; probabilistic category learning; cognitive strategies; unconsciousness; neural mechanism; MEMORY-SYSTEMS; PARKINSONS-DISEASE; BASAL GANGLIA; CLASSIFICATION; IMPLICIT; STRATEGIES; CATEGORIZATION; SCHIZOPHRENIA; INFORMATION; STRIATUM;
D O I
10.3724/SP.J.1206.2011.00442
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
In probabilistic category learning tasks, people learn incrementally the "probabilistic" association between cues and outcomes. Here, we first discussed cognitive strategies used in probabilistic category learning, the unconsciousness of probabilistic category learning, as well as the relationship between probabilistic category learning and working memory and attention. Then, we reviewed the different roles of various brain regions, including the basal ganglia, the medial temporal lobe, the prefrontal lobe and the parietal lobe, in probabilistic category learning. Finally, we suggest that probabilistic category learning might involve both implicit and explicit processes and future research is needed to further explore the cognitive and neural mechanisms of probabilistic category learning.
引用
收藏
页码:1037 / 1044
页数:8
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