Cognitive map-based navigation in wild bats revealed by a new high-throughput tracking system
Cognitive map-based navigation in wild bats revealed by a new high-throughput tracking system
复制标题
DOI：
10.1126/science.aax6904
复制
发表时间：
2020-07-10
期刊：
影响因子：
56.9
通讯作者：
Nathan, Ran
中科院分区：
文献类型：
--
作者：
Toledo, Sivan;Shohami, David;Nathan, Ran
对“认知地图”（空间的异中心表示）进行了七十年的研究，已经产生了关键的神经生物学见解，但仍然缺乏来自自由放养的野生动物的现场证据。使用能够以高精度和分辨率同时跟踪数十种动物的系统，我们收集了 172 只觅食的埃及果蝠的大型数据集，其中包括 4 年 3449 个蝙蝠之夜收集的超过 1800 万个定位。详细的轨迹分析，结合易位实验和详尽的果树测绘，表明野生蝙蝠很少表现出随机搜索，而是以目标为导向的长途直线飞行反复觅食，其中包括频繁的捷径。模拟、时滞嵌入和其他轨迹分析排除了替代的、非基于地图的策略。我们的结果与认知地图式导航的预期一致，并支持先前来自圈养蝙蝠的神经生物学证据。
Seven decades of research on the "cognitive map," the allocentric representation of space, have yielded key neurobiological insights, yet field evidence from free-ranging wild animals is still lacking. Using a system capable of tracking dozens of animals simultaneously at high accuracy and resolution, we assembled a large dataset of 172 foraging Egyptian fruit bats comprising >18 million localizations collected over 3449 bat-nights across 4 years. Detailed track analysis, combined with translocation experiments and exhaustive mapping of fruit trees, revealed that wild bats seldom exhibit random search but instead repeatedly forage in goal-directed, long, and straight flights that include frequent shortcuts. Alternative, non-map-based strategies were ruled out by simulations, time-lag embedding, and other trajectory analyses. Our results are consistent with expectations from cognitive map-like navigation and support previous neurobiological evidence from captive bats.