意义图谱捕捉了场景中局部语义特征的密度：对 Pedziwiatr、Kümmerer、Wallis、Bethge 和 Teufel（2021）的回复。
Meaning maps capture the density of local semantic features in scenes: A reply to Pedziwiatr, Kümmerer, Wallis, Bethge & Teufel (2021).
机构信息
Center for Mind and Brain, University of California, Davis, USA; Department of Psychology, University of California, Davis, USA.
Center for Mind and Brain, University of California, Davis, USA.
出版信息
Cognition. 2021 Sep;214:104742. doi: 10.1016/j.cognition.2021.104742. Epub 2021 Apr 21.
Abstract
Pedziwiatr, Kümmerer, Wallis, Bethge, & Teufel (2021) contend that Meaning Maps do not represent the spatial distribution of semantic features in scenes. We argue that Pesziwiatr et al. provide neither logical nor empirical support for that claim, and we conclude that Meaning Maps do what they were designed to do: represent the spatial distribution of meaning in scenes.
摘要
佩齐维亚特、库默勒、瓦利斯、贝斯格和特菲尔（2021 年）认为，语义图并不能代表场景中语义特征的空间分布。我们认为，佩齐维亚特等人既没有提供逻辑支持，也没有提供经验支持来支持这一说法，我们的结论是，语义图完成了它们的设计目的：代表场景中意义的空间分布。
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Meaning maps capture the density of local semantic features in scenes: A reply to Pedziwiatr, Kümmerer, Wallis, Bethge & Teufel (2021).意义图谱捕捉了场景中局部语义特征的密度：对 Pedziwiatr、Kümmerer、Wallis、Bethge 和 Teufel（2021）的回复。
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