1 Department of Ecology and Evolutionary Biology, Princeton University , Princeton, NJ 08544 , USA.
2 Centre for Ecology and Conservation, University of Exeter , Penryn Campus, Penryn, Cornwall TR10 9FE , UK.
Philos Trans R Soc Lond B Biol Sci. 2019 Apr 1;374(1769):20180197. doi: 10.1098/rstb.2018.0197.
Despite a recent explosion of research on pattern recognition, in both neuroscience and computer vision, we lack a basic understanding of how most animals perceive and respond to patterns in the wild. Avian brood parasites and their hosts provide an ideal study system for investigating the mechanisms of pattern recognition. The cuckoo finch, Anomalospiza imberbis, and its host the tawny-flanked prinia, Prinia subflava, lay highly polymorphic eggs with a great deal of variation in colour and patterning, with the cuckoo finch capable of close egg mimicry. Behavioural experiments in Zambia have previously shown that prinias use colour and multiple 'low-level' (occurring in early stages of visual processing) pattern attributes, derived from spatial frequency analysis, when rejecting foreign eggs. Here, we explore the extent to which host birds might also use 'higher-level' pattern attributes, derived from a feature detection algorithm, to make rejection decisions. Using a SIFT-based pattern recognition algorithm, NaturePatternMatch, we show that hosts are more likely to reject a foreign egg if its higher-level pattern features-which capture information about the shape and orientation of markings-differ from those of the host eggs. A revised statistical model explains about 37% variance in egg rejection behaviour, and differences in colour, low-level and higher-level pattern features all predict rejection, accounting for 42, 44 and 14% of the explained variance, respectively. Thus, higher-level pattern features provide a small but measurable improvement to the original model and may be especially useful when colour and low-level pattern features provide hosts with little information. Understanding the relative importance of low- and higher-level pattern features is a valuable goal for future work on animal coloration, especially in the contexts of mimicry, camouflage and individual recognition. This article is part of the theme issue 'The coevolutionary biology of brood parasitism: from mechanism to pattern'.
尽管最近在神经科学和计算机视觉领域对模式识别的研究有了爆炸式的发展,但我们对大多数动物在野外如何感知和应对模式仍然缺乏基本的了解。雀形目寄生鸟及其宿主为研究模式识别机制提供了一个理想的研究系统。棕胸佛法僧和它的宿主黄腹扇尾鹟产卵具有高度多态性,颜色和图案变化很大,棕胸佛法僧能够非常逼真地模仿宿主的卵。赞比亚之前的行为实验表明,扇尾鹟在拒绝外来卵时会使用颜色和多个“低水平”(发生在视觉处理的早期阶段)的图案属性,这些属性来自空间频率分析。在这里,我们探讨宿主鸟类是否也会使用“高级”的图案属性,这些属性来自特征检测算法,以做出拒绝决定。我们使用基于 SIFT 的模式识别算法 NaturePatternMatch 表明,如果一个外来卵的高级图案特征——捕捉标记形状和方向的信息——与宿主卵不同,宿主更有可能拒绝这个卵。一个修订后的统计模型解释了约 37%的卵拒绝行为的方差,颜色、低水平和高水平的图案特征差异都可以预测拒绝,分别解释了 42%、44%和 14%的方差。因此,高级模式特征为原始模型提供了一个微小但可衡量的改进,并且在颜色和低水平图案特征为宿主提供很少信息时可能特别有用。理解低水平和高水平图案特征的相对重要性是未来研究动物颜色的一个有价值的目标,特别是在模仿、伪装和个体识别的背景下。本文是主题为“巢寄生协同进化生物学:从机制到模式”的一部分。