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.

在我们的日常生活中，我们不断地了解人们，主要是通过他们的面孔。几项神经科学实验表明，熟悉会改变他人面孔的行为处理和潜在的神经表征。在这里，我们提出了一个我们如何真正了解某人的过程模型。首先，出现了对陌生面孔的纯视觉熟悉。其次，相关的非感官信息的积累改进了人物表征，最后，达到了一个阶段，可以毫不费力地识别出非常知名的人物。我们在这里提供神经影像学研究的概述，首先评估处理陌生和熟悉面孔的方式和方式有何不同，其次，通过分析 fMRI 适应和多变量模式分析结果，我们估计了在大脑中发现身份特定表示的位置。可用的神经影像学数据表明，随着人们对同一网络中的人越来越熟悉，信息的不同方面会逐渐出现。我们提出了一种新的熟悉度和身份处理模型，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。