Competition and cooperation among similar representations: toward a unified account of facilitative and inhibitory effects of lexical neighbors.

Competition and cooperation among similar representations: toward a unified account of facilitative and inhibitory effects of lexical neighbors.
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DOI:
10.1037/a0027175
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发表时间:
2012-04
影响因子:
5.4
通讯作者:
Mirman, Daniel
Mirman, Daniel
中科院分区:
心理学1区
文献类型:
--
作者:
Chen, Qi;Mirman, Daniel

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大脑工作的核心原则之一是分级、平行地激活多个相关或相似的表征。多个表征的并行激活在语言处理理论和模型的发展中特别重要,其中共同激活的表征(“邻居”)已被证明对单词识别和产生表现出促进和抑制作用。研究人员通常将这些效应归因于互动激活和竞争,但对于为什么这些效应在某些情况下是促进性的,而在另一些情况下是抑制性的,并没有统一的解释。我们提出了一系列的模拟一个简单的域一般的互动激活和竞争模型,这是广泛一致的更专业的特定领域的词汇处理模型。结果表明,交互激活和竞争确实可以解释复杂的逆转模式。重要的是,模拟揭示了一个核心计算原理,该原理决定了邻居效应是促进性还是抑制性:强活跃邻居产生净抑制效应,弱活跃邻居产生净促进效应。
One of the core principles of how the mind works is the graded, parallel activation of multiple related or similar representations. Parallel activation of multiple representations has been particularly important in the development of theories and models of language processing, where co-activated representations (“neighbors”) have been shown to exhibit both facilitative and inhibitory effects on word recognition and production. Researchers generally ascribe these effects to interactive activation and competition, but there is no unified explanation for why the effects are facilitative in some cases and inhibitory in others. We present a series of simulations of a simple domain-general interactive activation and competition model that is broadly consistent with more specialized domain-specific models of lexical processing. The results showed that interactive activation and competition can indeed account for the complex pattern of reversals. Critically, the simulations revealed a core computational principle that determines whether neighbor effects will be facilitative or inhibitory: strongly active neighbors exert a net inhibitory effect and weakly active neighbors exert a net facilitative effect.
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