Avarguès-Weber Aurore, Dyer Adrian G, Ferrah Noha, Giurfa Martin
Centre de Recherches sur la Cognition Animale, Université de Toulouse; UPS, 118 route de Narbonne, Toulouse Cedex 9 31062, France Centre de Recherches sur la Cognition Animale, CNRS, 118 route de Narbonne, Toulouse Cedex 9 31062, France
Department of Physiology, Monash University, Clayton, Victoria 3800, Australia School of Media and Communication, Royal Melbourne Institute of Technology, Melbourne, Victoria 3000, Australia.
Proc Biol Sci. 2015 Jan 22;282(1799):20142384. doi: 10.1098/rspb.2014.2384.
Traditional models of insect vision have assumed that insects are only capable of low-level analysis of local cues and are incapable of global, holistic perception. However, recent studies on honeybee (Apis mellifera) vision have refuted this view by showing that this insect also processes complex visual information by using spatial configurations or relational rules. In the light of these findings, we asked whether bees prioritize global configurations or local cues by setting these two levels of image analysis in competition. We trained individual free-flying honeybees to discriminate hierarchical visual stimuli within a Y-maze and tested bees with novel stimuli in which local and/or global cues were manipulated. We demonstrate that even when local information is accessible, bees prefer global information, thus relying mainly on the object's spatial configuration rather than on elemental, local information. This preference can be reversed if bees are pre-trained to discriminate isolated local cues. In this case, bees prefer the hierarchical stimuli with the local elements previously primed even if they build an incorrect global configuration. Pre-training with local cues induces a generic attentional bias towards any local elements as local information is prioritized in the test, even if the local cues used in the test are different from the pre-trained ones. Our results thus underline the plasticity of visual processing in insects and provide new insights for the comparative analysis of visual recognition in humans and animals.
传统的昆虫视觉模型认为,昆虫仅能对局部线索进行低层次分析,而无法进行全局的、整体的感知。然而,最近关于蜜蜂(西方蜜蜂)视觉的研究反驳了这一观点,研究表明这种昆虫也通过使用空间构型或关系规则来处理复杂的视觉信息。鉴于这些发现,我们通过设置这两个层次的图像分析相互竞争,来探究蜜蜂是优先考虑全局构型还是局部线索。我们训练单个自由飞行的蜜蜂在Y型迷宫中辨别分层视觉刺激,并使用操纵了局部和/或全局线索的新刺激对蜜蜂进行测试。我们证明,即使局部信息可用,蜜蜂也更喜欢全局信息,因此主要依赖于物体的空间构型而非基本的局部信息。如果蜜蜂预先接受过辨别孤立局部线索的训练,这种偏好可能会逆转。在这种情况下,即使构建的全局构型不正确,蜜蜂也更喜欢带有先前被激活的局部元素的分层刺激。用局部线索进行预训练会引发对任何局部元素的普遍注意力偏向,因为在测试中局部信息被优先考虑,即使测试中使用的局部线索与预训练的线索不同。因此,我们的结果强调了昆虫视觉处理的可塑性,并为人类和动物视觉识别的比较分析提供了新的见解。