Suppr超能文献

分类目标调节自然场景统计信息的使用。

Categorization Goals Modulate the Use of Natural Scene Statistics.

机构信息

University of Bologna.

出版信息

J Cogn Neurosci. 2019 Jan;31(1):109-125. doi: 10.1162/jocn_a_01333. Epub 2018 Sep 6.

Abstract

Understanding natural scenes involves the contribution of bottom-up analysis and top-down modulatory processes. However, the interaction of these processes during the categorization of natural scenes is not well understood. In the current study, we approached this issue using ERPs and behavioral and computational data. We presented pictures of natural scenes and asked participants to categorize them in response to different questions (Is it an animal/vehicle? Is it indoors/outdoors? Are there one/two foreground elements?). ERPs for target scenes requiring a "yes" response began to differ from those of nontarget scenes, beginning at 250 msec from picture onset, and this ERP difference was unmodulated by the categorization questions. Earlier ERPs showed category-specific differences (e.g., between animals and vehicles), which were associated with the processing of scene statistics. From 180 msec after scene onset, these category-specific ERP differences were modulated by the categorization question that was asked. Categorization goals do not modulate only later stages associated with target/nontarget decision but also earlier perceptual stages, which are involved in the processing of scene statistics.

摘要

理解自然场景涉及自下而上的分析和自上而下的调节过程的贡献。然而,在自然场景分类过程中,这些过程的相互作用还不是很清楚。在本研究中,我们使用 ERP 以及行为和计算数据来研究这个问题。我们呈现自然场景的图片,并要求参与者根据不同的问题对它们进行分类(它是动物/车辆吗?它是在室内/室外吗?有一个/两个前景元素吗?)。需要“是”回答的目标场景的 ERP 从图片呈现 250 毫秒后开始与非目标场景的 ERP 不同,并且这种 ERP 差异不受分类问题的调节。更早的 ERP 显示出与分类问题相关的特定于类别的差异(例如,动物和车辆之间的差异),这些差异与场景统计信息的处理有关。从场景呈现后 180 毫秒开始,这些特定于类别的 ERP 差异受到所提出的分类问题的调节。分类目标不仅调节与目标/非目标决策相关的后期阶段,而且还调节与场景统计信息处理相关的早期感知阶段。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验