Department of Psychology, Friedrich Schiller University of Jena, Am Steiger 3, Haus 1, 07743 Jena, Germany.
Department of Psychology, Friedrich Schiller University of Jena, Am Steiger 3, Haus 1, 07743 Jena, Germany; DFG Research Unit Person Perception, Friedrich Schiller University of Jena, Am Steiger 3, Haus 1, 07743 Jena, Germany.
Neuroimage. 2014 Nov 15;102 Pt 2:736-47. doi: 10.1016/j.neuroimage.2014.08.042. Epub 2014 Aug 28.
Spatially caricatured faces were recently shown to benefit face learning (Schulz et al., 2012a). Moreover, spatial information may be particularly important for encoding unfamiliar faces, but less so for recognizing familiar faces (Kaufmann et al., 2013). To directly test the possibility of a major role of reflectance information for the recognition of familiar faces, we compared effects of selective photorealistic caricaturing in either shape or reflectance on face learning and recognition. Participants learned 3D-photographed faces across different viewpoints, and different images were presented at learning and test. At test, performance benefits for both types of caricatures were modulated by familiarity: Benefits for learned faces were substantially larger for reflectance caricatures, whereas benefits for novel faces were numerically larger for shape caricatures. ERPs confirmed a consistent reduction of the occipitotemporal P200 (200-240 ms) by shape caricaturing, whereas the most prominent effect of reflectance caricaturing was seen in an enhanced posterior N250 (240-400 ms), a component that has been related to the activation of acquired face representations. Our results suggest that performance benefits for face learning caused by distinctive spatial versus reflectance information are mediated by different neural processes with different timing and support a prominent role of reflectance for the recognition of learned faces.
最近的研究表明,空间特征明显的人脸图像有助于对面孔的学习(Schulz 等人,2012a)。此外,空间信息对于编码不熟悉的面孔可能特别重要,但对于识别熟悉的面孔则不那么重要(Kaufmann 等人,2013)。为了直接测试反射信息对面孔识别的重要作用的可能性,我们比较了选择性的逼真的形状或反射率的图像对人脸学习和识别的影响。参与者学习了不同视角的 3D 照片人脸,在学习和测试时使用不同的图像。在测试中,两种类型的变形对学习面孔的影响都受到熟悉度的调节:对于学习过的面孔,反射率变形的影响更大,而对于新面孔,形状变形的影响更大。ERP 确认了形状变形一致地减少了枕颞区 P200(200-240ms),而反射率变形最显著的影响是增强了后部 N250(240-400ms),该成分与获得的面孔代表的激活有关。我们的研究结果表明,由于空间和反射信息的独特性而导致的人脸学习的绩效提高是由不同的神经过程介导的,这些过程具有不同的时间和对学习过的面孔识别的反射的突出作用。