five

How animals discriminate between stimulus magnitudes: a meta-analysis

收藏
DataCite Commons2026-01-28 更新2025-05-10 收录
下载链接:
https://datadryad.org/dataset/doi:10.5061/dryad.4qrfj6qng
下载链接
链接失效反馈
官方服务:
资源简介:
To maximize their fitness, animals must often discriminate between stimuli differing in magnitude (such as size, intensity, or number). Weber’s Law of proportional processing states that stimuli are compared based on the proportional difference in magnitude, rather than the absolute difference. Weber’s Law implies that when stimulus magnitudes are higher, it becomes harder to discriminate small differences between stimuli, leading to more discrimination errors. More generally, we can refer to a correlation between stimulus magnitude and discrimination error frequency as a magnitude effect, with Weber’s law being a special case of the magnitude effect. If more discrimination errors are made when stimulus magnitudes are higher, this could affect how signals evolve. However, the strength and prevalence of the magnitude effect across species has never previously been tested. Here, we conducted a meta-analysis to quantify the strength of the magnitude effect across studies, finding that, on average, perception followed Weber’s Law. However, the strength of the magnitude effect varied widely, and this variation was not explained by any biological or methodological differences between studies that we examined. Our findings suggest that the magnitude effect is commonplace, and that this sensory bias is therefore likely to affect signal evolution across a diverse range of biological systems. Better discrimination at lower magnitudes might result in signalers evolving lower magnitude signals when being discriminated is beneficial, and higher magnitude signals when being discriminated is costly.
提供机构:
Dryad
创建时间:
2025-05-05
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作