Parts beget parts: Bootstrapping hierarchical object representations through visual statistical learning
Parts beget parts: Bootstrapping hierarchical object representations through visual statistical learning
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零件产生零件：通过视觉统计学习引导分层对象表示
DOI：
10.1016/j.cognition.2020.104515
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发表时间：
2021
期刊：
影响因子：
3.4
通讯作者：
Lu, Hongjing
中科院分区：
文献类型：
--
作者：
Lee, Alan L.F.;Liu, Zili;Lu, Hongjing
先前的研究表明，人类能够通过暴露于这些配置而无需任何任务或反馈来获得形成各种空间配置的形状部分之间的统计信息。本研究扩展了这种视觉统计学习的方法，以检查是否先验知识的部分，在一个单独的学习环境中获得，有利于收购对象的多层分层表示。在参与者学会将一对形状作为一个块编码到记忆中之后，他们看到了包含多个形状块的混乱场景。其中一个较大的配置是通过将学习的形状对与不熟悉的互补形状对相结合来构建的。虽然互补的形状对在学习过程中从未单独呈现过，但它比其他形状对更好地记住了更大的配置。互补形状对的更大感知熟悉度取决于先前学习的形状对的编码强度。这种“parts-beget-parts”效应表明，统计学习与先验知识相结合，可以将对象表示为一个连贯的整体，也可以通过自举多层分层结构将其表示为部分的空间配置。
Previous research has shown that humans are able to acquire statistical regularities among shape parts that form various spatial configurations, via exposure to these configurations without any task or feedback. The present study extends this approach of visual statistical learning to examine whether prior knowledge of parts, acquired in a separate learning context, facilitates acquisition of multi-layer hierarchical representations of objects. After participants had learned to encode a shape-pair as a chunk into memory, they viewed cluttered scenes containing multiple shape chunks. One of the larger configurations was constructed by combining the learned shape-pair with an unfamiliar, complementary shape-pair. Although the complementary shape-pair had never been presented separately during learning, it was remembered better than other shape pairs that were parts of larger configurations. The greater perceived familiarity of the complementary shape-pair depended on the encoding strength of the previously learned shape-pair. This “parts-beget-parts” effect suggests that statistical learning, in combination with prior knowledge, can represent objects as a coherent whole and also as a spatial configuration of parts by bootstrapping multi-layer hierarchical structures.
部分和整体的统计学习：神经网络方法。
DOI：
10.1037/xge0000262
发表时间：
2017
期刊：
Journal of experimental psychology. General
影响因子：
--
作者：
D. Plaut;Anna K Vande Velde
通讯作者：
Anna K Vande Velde
嵌套的印度自助餐流程，实现灵活的主题建模
DOI：
--
发表时间：
2014
期刊：
Interspeech
影响因子：
--
作者：
Jen;Ying
通讯作者：
Ying
影响因子：
--
作者：
Brainard, DH
通讯作者：
Brainard, DH