Lund Vision Group, Department of Biology, Lund University, Lund 22362, Sweden.
Nano Lund, Centre for Nanoscience, Lund University, Lund 22362, Sweden.
Proc Natl Acad Sci U S A. 2024 Jul 23;121(30):e2402509121. doi: 10.1073/pnas.2402509121. Epub 2024 Jul 15.
Insects rely on path integration (vector-based navigation) and landmark guidance to perform sophisticated navigational feats, rivaling those seen in mammals. Bees in particular exhibit complex navigation behaviors including creating optimal routes and novel shortcuts between locations, an ability historically indicative of the presence of a cognitive map. A mammalian cognitive map has been widely accepted. However, in insects, the existence of a centralized cognitive map is highly contentious. Using a controlled laboratory assay that condenses foraging behaviors to short distances in walking bumblebees, we reveal that vectors learned during path integration can be transferred to long-term memory, that multiple such vectors can be stored in parallel, and that these vectors can be recalled at a familiar location and used for homeward navigation. These findings demonstrate that bees meet the two fundamental requirements of a vector-based analog of a decentralized cognitive map: Home vectors need to be stored in long-term memory and need to be recalled from remembered locations. Thus, our data demonstrate that bees possess the foundational elements for a vector-based map. By utilizing this relatively simple strategy for spatial organization, insects may achieve high-level navigation behaviors seen in vertebrates with the limited number of neurons in their brains, circumventing the computational requirements associated with the cognitive maps of mammals.
昆虫依赖于路径整合(基于向量的导航)和地标引导来完成复杂的导航壮举,堪比哺乳动物。特别是蜜蜂表现出复杂的导航行为,包括在位置之间创建最佳路线和新颖的捷径,这种能力在历史上表明存在认知地图。哺乳动物的认知地图已被广泛接受。然而,在昆虫中,中心化认知地图的存在存在很大争议。我们使用一种受控的实验室测定法,将觅食行为浓缩到步行大黄蜂的短距离内,揭示了在路径整合过程中学习的向量可以转移到长期记忆中,可以并行存储多个这样的向量,并且这些向量可以在熟悉的位置被召回并用于回家导航。这些发现表明,蜜蜂满足了去中心化认知地图的基于向量的模拟的两个基本要求:家庭向量需要存储在长期记忆中,并且需要从记忆位置中召回。因此,我们的数据表明蜜蜂具有基于向量的地图的基础要素。通过利用这种相对简单的空间组织策略,昆虫可以在其大脑中神经元数量有限的情况下实现脊椎动物中所见的高级导航行为,从而避免了与哺乳动物认知地图相关的计算要求。