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陈述性和程序性学习分类系统之间的相互作用。

Interactions between declarative and procedural-learning categorization systems.

机构信息

University of California, Santa Barbara, CA 93106, USA.

出版信息

Neurobiol Learn Mem. 2010 Jul;94(1):1-12. doi: 10.1016/j.nlm.2010.03.001. Epub 2010 Mar 19.

Abstract

Two experiments tested whether declarative and procedural memory systems operate independently or inhibit each other during perceptual categorization. Both experiments used a hybrid category-learning task in which perfect accuracy could be achieved if a declarative strategy is used on some trials and a procedural strategy is used on others. In the two experiments, only 2 of 53 participants learned a strategy of this type. In Experiment 1, most participants appeared to use simple explicit rules, even though control participants reliably learned the procedural component of the hybrid task. In Experiment 2, participants pre-trained either with the declarative or procedural component and then transferred to the hybrid categories. Despite this extra training, no participants in either group learned to categorize the hybrid stimuli with a strategy of the optimal type. These results are inconsistent with the most prominent single- and multiple-system accounts of category learning. They also cannot be explained by knowledge partitioning, or by the hypothesis that the failure to learn was due to high switch costs. Instead, these results support the hypothesis that declarative and procedural memory systems interact during category learning.

摘要

两个实验测试了在知觉分类过程中,陈述性记忆系统和程序性记忆系统是独立运作还是相互抑制。两个实验都使用了一种混合类别学习任务,如果在某些试验中使用陈述性策略,而在其他试验中使用程序性策略,则可以达到完美的准确性。在这两个实验中,只有 53 名参与者中的 2 名学会了这种类型的策略。在实验 1 中,大多数参与者似乎使用了简单的显式规则,尽管对照组参与者可靠地学习了混合任务的程序性成分。在实验 2 中,参与者先接受陈述性或程序性组件的预训练,然后转移到混合类别。尽管有这种额外的训练,但没有一个参与者在任何一个组中学会使用最佳类型的策略来对混合刺激进行分类。这些结果与类别学习的最突出的单一和多系统解释不一致。它们也不能用知识划分或假设失败是由于高转换成本来解释。相反,这些结果支持这样一种假设,即陈述性记忆系统和程序性记忆系统在类别学习过程中相互作用。

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3
Response inhibition and response selection: two sides of the same coin.
J Cogn Neurosci. 2008 May;20(5):751-61. doi: 10.1162/jocn.2008.20500.
4
Secondary-task effects on classification learning.
Mem Cognit. 2007 Jul;35(5):864-74. doi: 10.3758/bf03193461.
6
Characterizing rule-based category learning deficits in patients with Parkinson's disease.
Neuropsychologia. 2007 Jan 28;45(2):305-20. doi: 10.1016/j.neuropsychologia.2006.06.034. Epub 2006 Sep 15.
7
Modulation of competing memory systems by distraction.
Proc Natl Acad Sci U S A. 2006 Aug 1;103(31):11778-83. doi: 10.1073/pnas.0602659103. Epub 2006 Jul 25.
9
Dual-task interference in perceptual category learning.
Mem Cognit. 2006 Mar;34(2):387-98. doi: 10.3758/bf03193416.
10
Cortical and subcortical contributions to Stop signal response inhibition: role of the subthalamic nucleus.
J Neurosci. 2006 Mar 1;26(9):2424-33. doi: 10.1523/JNEUROSCI.4682-05.2006.

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