Department of Life Sciences and Biotechnology, University of Ferrara, Ferrara, Italy.
Department of Chemical, Pharmaceutical and Agricultural Sciences, University of Ferrara, Ferrara, Italy.
Commun Biol. 2023 Mar 23;6(1):247. doi: 10.1038/s42003-023-04595-7.
An intriguing hypothesis to explain the ubiquity of numerical abilities is that all vertebrates are born with hardwired neuronal networks for processing numbers. To date, only studies on human foetuses have clearly supported this hypothesis. Zebrafish hatch 48-72 h after fertilisation with an embryonic nervous system, providing a unique opportunity for investigating this hypothesis. Here, we demonstrated that zebrafish larvae exposed to vertical bars at birth acquired an attraction for bar stimuli and we developed a numerical discrimination task based on this preference. When tested with a series of discriminations of increasing difficulty (1vs.4, 1vs.3, 1vs.2, and 2vs.4 bars), zebrafish larvae reliably selected the greater numerosity. The preference was significant when stimuli were matched for surface area, luminance, density, and convex hull, thereby suggesting a true capacity to process numerical information. Converging results from two phylogenetically distant species suggests that numerical abilities might be a hallmark feature of vertebrates' brains.
一个解释数字能力普遍存在的有趣假设是,所有脊椎动物在出生时都具有用于处理数字的内置神经元网络。迄今为止,只有对人类胎儿的研究清楚地支持了这一假设。斑马鱼在受精后 48-72 小时孵化,为研究这一假设提供了独特的机会。在这里,我们证明了在出生时暴露于垂直条的斑马鱼幼虫会对条形刺激产生吸引力,并且我们基于这种偏好开发了一种数字辨别任务。当用一系列难度逐渐增加的辨别任务(1 对 4、1 对 3、1 对 2 和 2 对 4 个条形)进行测试时,斑马鱼幼虫可靠地选择了更大的数量。当刺激在表面积、亮度、密度和凸包方面匹配时,这种偏好是显著的,因此表明其具有真正处理数字信息的能力。来自两个在进化上相距甚远的物种的趋同结果表明,数字能力可能是脊椎动物大脑的一个显著特征。