Suppr超能文献

了解某人:人类大脑中的熟悉感、人物识别和身份识别。

Getting to Know Someone: Familiarity, Person Recognition, and Identification in the Human Brain.

机构信息

Friedrich Schiller University Jena.

出版信息

J Cogn Neurosci. 2020 Dec;32(12):2205-2225. doi: 10.1162/jocn_a_01627. Epub 2020 Sep 9.

Abstract

In our everyday life, we continuously get to know people, dominantly through their faces. Several neuroscientific experiments showed that familiarization changes the behavioral processing and underlying neural representation of faces of others. Here, we propose a model of the process of how we actually get to know someone. First, the purely visual familiarization of unfamiliar faces occurs. Second, the accumulation of associated, nonsensory information refines person representation, and finally, one reaches a stage where the effortless identification of very well-known persons occurs. We offer here an overview of neuroimaging studies, first evaluating how and in what ways the processing of unfamiliar and familiar faces differs and, second, by analyzing the fMRI adaptation and multivariate pattern analysis results we estimate where identity-specific representation is found in the brain. The available neuroimaging data suggest that different aspects of the information emerge gradually as one gets more and more familiar with a person within the same network. We propose a novel model of familiarity and identity processing, where the differential activation of long-term memory and emotion processing areas is essential for correct identification.

摘要

在日常生活中,我们主要通过人脸来不断认识他人。几项神经科学实验表明,熟悉会改变对他人面孔的行为处理和潜在神经表现。在这里,我们提出了一个关于我们如何真正了解某人的过程模型。首先,会发生对不熟悉面孔的纯粹视觉熟悉。其次,相关的、非感觉信息的积累会完善人的表现,最后,人们会达到轻松识别非常熟悉的人的阶段。我们在这里概述了神经影像学研究,首先评估处理不熟悉和熟悉面孔的方式和方式有何不同,其次,通过分析 fMRI 适应和多元模式分析结果,我们估计在大脑中何处找到特定于身份的表示。现有的神经影像学数据表明,随着人们对一个人越来越熟悉,信息的不同方面会逐渐出现,都在同一个网络中。我们提出了一个熟悉和身份处理的新模型,其中长期记忆和情绪处理区域的差异激活对于正确识别至关重要。

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