Exploring expression space: Adaptation to orthogonal and anti-expressions
Exploring expression space: Adaptation to orthogonal and anti-expressions
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DOI：
10.1167/11.4.2
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发表时间：
2011-01-01
影响因子：
1.8
通讯作者：
Johnston, Alan
中科院分区：
文献类型：
--
作者：
Cook, Richard;Matei, Marana;Johnston, Alan
本研究试图更好地理解表达的神经表征的性质。具体来说，我们试图将自然发生的表情编码与面部身份的维度表示（面部空间）进行比较。描述单个个体的自然面部表情的个体帧被分析并用于估计动态序列的平均姿势和图像纹理。通过主成分分析（PCA）的应用程序中提取的光流变化内存在的维数。随后通过重构对应于沿着由包括计算的“表情空间”的第一和第二主成分限定的轴的+/-2.15标准偏差的姿势来创建静态反表情对。“使用适应程序，我们表明，适应一个表达选择性地偏向感知随后看到的刺激在其反表达的方向，类似于类似的发现与身份，但不偏向感知在正交方向。这些发现表明，自然发生的表情的表征可以使用相同的多维框架已经提出了身份建模。
The present study sought to better understand the nature of the neural representation of expression. Specifically, we sought to compare the coding of naturally occurring expressions with the dimensional representation of facial identity (face space). Individual frames depicting the naturalistic facial expressions of a single individual were analyzed and used to estimate the mean posture and image texture of a dynamic sequence. The dimensionality present within the optic flow variation was extracted through the application of principal component analysis (PCA). Pairs of static anti-expressions were subsequently created by reconstructing postures corresponding to +/- 2.15 standard deviations along the axes defined by the first and second principal components comprising the computed "expression space." Using an adaptation procedure, we show that adapting to an expression selectively biases perception of subsequently viewed stimuli in the direction of its anti-expression, analogous to similar findings with identity, but does not bias perception in the orthogonal direction. These findings suggest that the representation of naturally occurring expressions can be modeled using the same kind of multidimensional framework as has been proposed for identity.