Department of Psychology, Philipps-Universität Marburg, 35039, Marburg, Germany.
Center for Mind, Brain and Behavior - CMBB, Philipps-Universität Marburg and Justus-Liebig-Universität Giessen, 35039, Marburg, Germany.
Brain Struct Funct. 2023 Mar;228(2):449-462. doi: 10.1007/s00429-022-02583-x. Epub 2022 Oct 16.
Recent theories on the neural correlates of face identification stressed the importance of the available identity-specific semantic and affective information. However, whether such information is essential for the emergence of neural signal of familiarity has not yet been studied in detail. Here, we explored the shared representation of face familiarity between perceptually and personally familiarized identities. We applied a cross-experiment multivariate pattern classification analysis (MVPA), to test if EEG patterns for passive viewing of personally familiar and unfamiliar faces are useful in decoding familiarity in a matching task where familiarity was attained thorough a short perceptual task. Importantly, no additional semantic, contextual, or affective information was provided for the familiarized identities during perceptual familiarization. Although the two datasets originate from different sets of participants who were engaged in two different tasks, familiarity was still decodable in the sorted, same-identity matching trials. This finding indicates that the visual processing of the faces of personally familiar and purely perceptually familiarized identities involve similar mechanisms, leading to cross-classifiable neural patterns.
最近关于面孔识别的神经关联的理论强调了可用的特定于身份的语义和情感信息的重要性。然而，这种信息对于熟悉的神经信号的出现是否是必要的，尚未得到详细研究。在这里，我们探讨了在知觉上和个人熟悉的身份之间熟悉感的共同表示。我们应用了跨实验多变量模式分类分析 (MVPA)，以测试在一个匹配任务中，通过一个短暂的知觉任务获得熟悉度时，被动观看个人熟悉和不熟悉的面孔的 EEG 模式是否可用于解码熟悉度。重要的是，在知觉熟悉过程中，没有为熟悉的身份提供额外的语义、上下文或情感信息。尽管这两个数据集来自不同的参与者组，他们参与了两个不同的任务，但在分类、相同身份匹配试验中仍然可以解码熟悉度。这一发现表明，个人熟悉和纯粹知觉熟悉的身份的面孔的视觉处理涉及相似的机制，导致可交叉分类的神经模式。
