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Working memory for cross-domain sequences

机译:跨域序列的工作存储器

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摘要

How is information from different content domains bound together into a representation of the whole sequence? Several theories predict that mixing information from different domains specifically impairs the ordering of information from different domains, whereas ordering within domains might be enhanced. In contrast, domain-general models-in which items from different domains are simply assumed to be less confusable-predict that mixing items from different domains enhances ordering, as the list items will on average be less confusable. The results of an experiment showed an overall advantage for mixed over pure lists in ordering information, supporting the domain-general viewpoint. Simulations with a representative domain-general model-the start–end model of Henson [(1998). Short-term memory for serial order: The start-end model. Cognitive Psychology, 36, 73–137] -showed that the model gave a satisfactory account of the data. Together, the data and simulations lend evidence to the idea that a domain-general mechanism is responsible for ordering stimuli from different domains, and that domain-specific effects are attributable to the relative similarity of item representations.
机译:来自不同内容域的信息如何结合在一起构成整个序列的表示形式?一些理论预测,来自不同域的信息混合会特别损害来自不同域的信息的顺序,而域内的顺序可能会得到增强。相反,简单地假设来自不同域的项目不易混淆的领域通用模型会预测来自不同域的项目的混合会增强排序,因为列表项的平均程度较不容易混淆。实验结果表明,与纯列表混合使用相比,排序信息具有总体优势,从而支持领域通用观点。用具有代表性的领域通用模型进行仿真-Henson的开始-结束模型[(1998)。串行订单的短期存储器:起始端模型。认知心理学,第36卷,第73-137页]-表明该模型对数据提供了令人满意的解释。总之,数据和模拟为以下事实提供了证据:领域通用机制负责对来自不同领域的刺激进行排序,并且特定领域的影响可归因于项目表示形式的相对相似性。

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