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The face inversion effect as an inefficiency in evidence accumulation

机译:面部倒置效应导致证据积累效率低下

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There is a considerable amount of evidence that different kinds of objects are processed differently by the visual system and brain, but there is a need for more mechanistic explanations for those effects. One example is the face inversion effect. Many researchers have found that there is an advantage for upright faces compared to upside down ones that is not observed with other types of objects (Rossion, 2008; Yin, 1969). A common explanation for these effects is that upright faces are processed by a holistic system while everything else a?? including inverted faces -- goes through a featural system (Maurer, Grand, & Mondloch, 2002; McKone, 2009). An alternative account is that there exists a single system and that variation in perception of different kinds of objects is due to differential tuning of the parameters of that system (Sekuler et al., 2004). Here, we examined these ideas with a formal Drift Diffusion model (Ratcliff, 1978; Ratcliff & Rouder, 1998). If upright and inverted faces are processed by different systems, then one would expect qualitatively different patterns of parameter values, with parameters for inverted faces matching objects (both upright and inverted) and parameters for upright faces being unique. However, based on the single-system account, we hypothesized that lower performance with inverted faces would reflect either a lower rate of evidence accumulation (drift rate) or a higher decisional threshold (criterion). The modeling results showed that the large inversion effects found with faces were mediated solely by the rate of perceptual evidence accumulation a?? none of the other parameters changed across orientation. This suggests that inverted faces are processed by the same system as upright faces and that the inefficiency associated with the face inversion effect is due to a slower accumulation of perceptual evidence.
机译:有大量证据表明,视觉系统和大脑对不同种类的对象的处理方式不同,但需要对这些效果进行更多的机械解释。一个例子是面部反转效应。许多研究人员发现,与其他类型的物体所没有的倒置脸相比,直立的脸有一个优势(Rossion,2008; Yin,1969)。对这些影响的一个常见解释是,直立的脸部是由整体系统处理的,而其他所有东西都是?包括倒立的面孔-经历了一个特征系统(Maurer,Grand,&Mondloch,2002; McKone,2009)。一个可供选择的解释是,存在一个单一的系统,并且对不同种类的物体的感知的差异是由于该系统的参数的微调(Sekuler等,2004)。在这里,我们用正式的漂移扩散模型(Ratcliff,1978; Ratcliff&Rouder,1998)研究了这些想法。如果通过不同的系统处理直立的和倒置的面孔,则人们会期望参数值的定性模式不同,用于匹配对象(直立和倒置)的倒置面孔的参数和直立的面孔的参数是唯一的。但是,基于单系统帐户,我们假设具有颠倒面孔的较低性能会反映出较低的证据积累率(漂移率)或较高的决策阈值(标准)。建模结果表明,人脸发现的巨大反演效应仅由感知证据积累率介导。其他参数在方向上均没有变化。这表明倒立的面部与直立的面部使用相同的系统进行处理,并且与面部倒置效果相关的效率低下是由于感知证据的积累较慢。

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