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大黄蜂辨别边缘方向。

Discrimination of edge orientation by bumblebees.

机构信息

School of Biological and Chemical Sciences, Queen Mary University of London, London, United Kingdom.

Drone Development Lab, Ben Thorns Ltd, Colchester, United Kingdom.

出版信息

PLoS One. 2022 Jun 16;17(6):e0263198. doi: 10.1371/journal.pone.0263198. eCollection 2022.

Abstract

Simple feature detectors in the visual system, such as edge-detectors, are likely to underlie even the most complex visual processing, so understanding the limits of these systems is crucial for a fuller understanding of visual processing. We investigated the ability of bumblebees (Bombus terrestris) to discriminate between differently angled edges. In a multiple-choice, "meadow-like" scenario, bumblebees successfully discriminated between angled bars with 7° differences, significantly exceeding the previously reported performance of eastern honeybees (Apis cerana, limit: 15°). Neither the rate at which bees learned, nor their final discrimination performance were affected by the angular orientation of the training bars, indicating a uniform performance across the visual field. Previous work has found that, in dual-choice tests, eastern honeybees cannot reliably discriminate between angles with less than 25° difference, suggesting that performance in discrimination tasks is affected by the training regime, and doesn't simply reflect the perceptual limitations of the visual system. We used high resolution LCD monitors to investigate bumblebees' angular resolution in a dual-choice experiment. Bumblebees could still discriminate 7° angle differences under such conditions (exceeding the previously reported limit for Apis mellifera, of 10°, as well as that of A. cerana). Bees eventually reached similar levels of accuracy in the dual-choice experiment as they did under multiple-choice conditions but required longer learning periods. Bumblebees show impressive abilities to discriminate between angled edges, performing better than two previously tested species of honeybee. This high performance may, in turn, support complex visual processing in the bumblebee brain.

摘要

视觉系统中的简单特征探测器,如边缘探测器,可能是最复杂的视觉处理的基础,因此理解这些系统的局限性对于更全面地理解视觉处理至关重要。我们研究了大黄蜂(Bombus terrestris)区分不同角度边缘的能力。在多项选择的“草地状”场景中,大黄蜂成功区分了 7°差异的倾斜条,明显超过了先前报道的东方蜜蜂(Apis cerana,极限:15°)的性能。蜜蜂学习的速度以及它们最终的辨别性能都不受训练条角度的影响,这表明在整个视野中表现均匀。先前的工作发现,在双选择测试中,东方蜜蜂无法可靠地区分小于 25°差异的角度,这表明在辨别任务中的表现受到训练方案的影响,而不仅仅反映视觉系统的感知限制。我们使用高分辨率液晶显示器在双选择实验中研究了大黄蜂的角度分辨率。大黄蜂在这种情况下仍然可以区分 7°的角度差异(超过了先前报道的 Apis mellifera 的 10°极限,以及 A. cerana 的极限)。蜜蜂最终在双选择实验中达到了与多项选择条件下相似的准确性水平,但需要更长的学习时间。大黄蜂在区分倾斜边缘方面表现出令人印象深刻的能力,表现优于之前测试的两种蜜蜂物种。这种高性能反过来可能支持大黄蜂大脑中的复杂视觉处理。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2cbd/9202920/a14cb22ac83a/pone.0263198.g001.jpg

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