Perception of an object's global shape is best described by a model of skeletal structure in human infants.
Perception of an object's global shape is best described by a model of skeletal structure in human infants.
复制标题
对物体整体形状的感知最好地用人类婴儿的骨骼结构模型来描述。
DOI：
10.7554/elife.74943
复制
发表时间：
2022-05-25
期刊：
影响因子：
7.7
通讯作者：
Lourenco, Stella
中科院分区：
文献类型：
--
作者：
Ayzenberg, Vladislav;Lourenco, Stella
关键词：
对日常物品的分类要求人类形成能够容忍样本之间变化的形状表征。然而，这种不变的形状表示是如何发展的仍然知之甚少。通过将人类婴儿(6-12个月；N=82)与使用类似程序的计算视觉模型进行比较，我们阐明了物体感知的起源和机制。随着对一个从未见过的物体的习惯化，婴儿会根据其组成部分的不同对其他新物体进行分类。与几个计算视觉模型的比较，包括高水平和低水平视觉模型，显示婴儿的表现最好地用基于骨骼结构的形状模型来描述。有趣的是，在相同的条件下，婴儿的表现超过了一系列人工神经网络模型，这些模型是因为他们大量的物体经验和生物学上的合理性而被挑选出来的。总之，这些发现表明，依靠感知不变的骨骼结构，可以在几乎没有语言或物体经验的情况下形成对形状的健壮表征。
Categorization of everyday objects requires that humans form representations of shape that are tolerant to variations among exemplars. Yet, how such invariant shape representations develop remains poorly understood. By comparing human infants (6–12 months; N=82) to computational models of vision using comparable procedures, we shed light on the origins and mechanisms underlying object perception. Following habituation to a never-before-seen object, infants classified other novel objects across variations in their component parts. Comparisons to several computational models of vision, including models of high-level and low-level vision, revealed that infants’ performance was best described by a model of shape based on the skeletal structure. Interestingly, infants outperformed a range of artificial neural network models, selected for their massive object experience and biological plausibility, under the same conditions. Altogether, these findings suggest that robust representations of shape can be formed with little language or object experience by relying on the perceptually invariant skeletal structure.
影响因子：
3.2
作者：
Rule JS;Riesenhuber M
通讯作者：
Riesenhuber M