论文标题
视觉系统的Markovian和无内存属性：串行面部处理的证据
The Markovian and Memoryless Properties of Visual System: Evidence from Serial Face Processing
论文作者
论文摘要
可以将视觉系统视为信息处理系统。如果是这样，则视觉系统应遵循特定的基本属性：内存或无内存系统。先前在视力依赖性方面的研究发现，对当前刺激的感知是由前一个刺激的积极确定的。但是，我们并不完全确定这种现象是否是马尔可夫处理。在这项研究中，要求参与者对面部的社会特征（吸引力，可信度和优势）进行评分，然后在随机秩序中具有相同的特征（单特性条件）或另一个（两种特征条件）。通过这样做，我们可以直接测试先前输入和输出对当前输出的贡献，从而研究系统的性质。使用高斯，马尔可夫链和线性混合效应建模的衍生物，收敛的结果表明，在测试吸引力和优势时，在两种特征条件下，串行依赖性是不存在的，而在两种特征条件下，无内存和马尔可体性质受到了侵犯，但在其他条件下却没有。因此，（大概）相同的计算任务的不同方面可能遵循不对称的系统属性。该研究还将序列依赖性作为一种有效的技术来揭示不同计算任务之间的关系。
The visual system can be viewed and studied as an information processing system. If so, then the visual system should follow specific fundamental properties: either a memory or a memoryless system. Previous studies in serial dependence in vision found that the perception of the current stimulus is positively determined by the previous one. However, we are not entirely sure whether this phenomenon is a Markov processing. In this study, participants were asked to rate the social characteristics (attractiveness, trustworthiness, and dominance) of a face, either followed by the same characteristic (the one-trait condition) or another one (the two-trait condition) in randomized orders. By doing so, we can directly test the contribution of the previous input and output to the current output and thus study the properties of the system. Using Derivative of Gaussian, Markov Chain and Linear Mixed effect modeling, convergent results suggested that the serial dependence was absent and the memoryless and Markovian properties were violated in the two-trait condition when testing both attractiveness and dominance, but not in the other conditions. Thus, different facets of (presumably) the same computational task may follow asymmetrical system properties. The study also develops serial dependence as an effective technique to reveal the relationships between different computation tasks.
