Avarguès-Weber Aurore, d'Amaro Daniele, Metzler Marita, Finke Valerie, Baracchi David, Dyer Adrian G
Centre de Recherches sur la Cognition Animale, Centre de Biologie Intégrative (CBI), Université de Toulouse, CNRS, UPS, Toulouse, France.
Institut für Zoologie III (Neurobiologie), Johannes Gutenberg Universität Mainz, Mainz, Germany.
Front Psychol. 2018 Jul 31;9:1313. doi: 10.3389/fpsyg.2018.01313. eCollection 2018.
The expertise of humans for recognizing faces is largely based on holistic processing mechanism, a sophisticated cognitive process that develops with visual experience. The various visual features of a face are thus glued together and treated by the brain as a unique stimulus, facilitating robust recognition. Holistic processing is known to facilitate fine discrimination of highly similar visual stimuli, and involves specialized brain areas in humans and other primates. Although holistic processing is most typically employed with face stimuli, subjects can also learn to apply similar image analysis mechanisms when gaining expertise in discriminating novel visual objects, like becoming experts in recognizing birds or cars. Here, we ask if holistic processing with expertise might be a mechanism employed by the comparatively miniature brains of insects. We thus test whether honeybees () and/or wasps () can use holistic-like processing with experience to recognize images of human faces, or Navon-like parameterized-stimuli. These insect species are excellent visual learners and have previously shown ability to discriminate human face stimuli using configural type processing. Freely flying bees and wasps were consequently confronted with classical tests for holistic processing, the part-whole effect and the composite-face effect. Both species could learn similar faces from a standard face recognition test used for humans, and their performance in transfer tests was consistent with holistic processing as defined for studies on humans. Tests with parameterized stimuli also revealed a capacity of honeybees, but not wasps, to process complex visual information in a holistic way, suggesting that such sophisticated visual processing may be far more spread within the animal kingdom than previously thought, although may depend on ecological constraints.
人类识别面孔的专业能力很大程度上基于整体加工机制,这是一种随着视觉经验发展而来的复杂认知过程。因此,面孔的各种视觉特征被整合在一起,大脑将其视为一种独特的刺激,从而便于进行可靠的识别。众所周知,整体加工有助于对高度相似的视觉刺激进行精细辨别,并且涉及人类和其他灵长类动物的特定脑区。尽管整体加工最典型地用于面孔刺激,但当受试者在辨别新的视觉对象(如成为识别鸟类或汽车的专家)方面获得专业技能时,他们也可以学习应用类似的图像分析机制。在这里,我们要问,具有专业技能的整体加工是否可能是昆虫相对较小的大脑所采用的一种机制。因此,我们测试蜜蜂( )和/或黄蜂( )是否可以通过经验使用类似整体的加工来识别人类面孔图像或类纳冯参数化刺激。这些昆虫物种是优秀的视觉学习者,此前已显示出使用构型类型加工来辨别人类面孔刺激的能力。因此,自由飞行的蜜蜂和黄蜂面临着整体加工的经典测试,即部分 - 整体效应和合成面孔效应。这两个物种都可以从用于人类的标准人脸识别测试中学习相似的面孔,并且它们在迁移测试中的表现与针对人类研究所定义的整体加工一致。对参数化刺激的测试还揭示了蜜蜂(而非黄蜂)以整体方式处理复杂视觉信息的能力,这表明这种复杂的视觉加工在动物界的分布可能比以前认为的要广泛得多,尽管可能取决于生态限制。