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Turning to the larger shoal: are there individual differences in small- and large-quantity discrimination of guppies?

机译:转向更大的浅滩:在孔雀鱼的小数量和大数量区分中是否存在个体差异?

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摘要

Quantitative ability in non-human animals represents one of the topics most investigated in cognitive ethology during the last decade. Vertebrates as diverse as mammals, birds and fish proved able to discriminate between two quantities in several ecological contexts. Recently, there has been a wide debate as to whether non-human animals share a single mechanism of numerical representation (commonly referred to as the 'approximate number system', ANS) or instead have also a distinct mechanism for enumerating small numbers (<= 4), referred to as 'subitizing'. To date, little attention has been devoted to assessing whether individual differences exist in quantity abilities within the boundaries of the two supposed mechanisms. In the present study, we compared the performance of guppies (Poecilia reticulata) in small- and large-quantity discrimination. Subjects were inserted in an unfamiliar tank where two groups of conspecifics differing in numerosity were visible, and their spontaneous preference for joining the larger shoal was taken as a measure of their numerical acuity. Each subject was tested in two numerical contrasts: 2 vs 3 and 6 vs 10. A positive correlation in the performance in the two numerical contrasts was found: subjects showing a better performance in the subitizing range also showed a better performance in the ANS range. Our data do not contradict the hypothesis of two distinct mechanisms of numerical representation, but may be more parsimoniously explained by the existence of a single ANS mechanism across the whole numerical range.
机译:在过去十年中,非人类动物的定量能力代表了认知行为学中研究最多的主题之一。事实证明,哺乳动物,鸟类和鱼类等脊椎动物在多种生态环境中能够区分两个数量。最近,关于非人类动物是否共享一个单一的数字表示机制(通常称为“近似数字系统”,ANS),还是具有一种枚举小数字的独特机制(<= 4),称为“替代”。迄今为止,很少有人关注评估两种假定机制范围内在数量能力上是否存在个体差异。在本研究中,我们比较了孔雀鱼(Poecilia reticulata)在小数量和大数量歧视中的表现。将受试者插入一个陌生的水箱中,在该水箱中可以看到两组不同数量的同种异形体,并以其自发的偏好加入较大的浅滩作为其数字敏锐度的量度。在两个数值对比中分别测试了每个对象:2 vs 3和6 vs10。发现两个数值对比中的表现呈正相关:在subitizing范围内表现出更好的表现的对象在ANS范围内也表现出更好的表现。我们的数据与两个不同的数值表示机制的假设并不矛盾,但可以通过在整个数值范围内使用单个ANS机制来更简洁地解释。

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