Ciccione Lorenzo, Dighiero-Brecht Thomas, Claidière Nicolas, Fagot Joël, Dehaene Stanislas
Cognitive Neuroimaging Unit, CEA, INSERM, Université Paris-Saclay, NeuroSpin Center, 91191 Gif/Yvette, France.
DysCo Lab, Department of Psychology, Université Paris 8, 93526 Saint-Denis, France.
iScience. 2024 Dec 20;28(1):111661. doi: 10.1016/j.isci.2024.111661. eCollection 2025 Jan 17.
Recent studies showed that humans, regardless of age, education, and culture, can extract the linear trend of a noisy scatterplot. Although this capacity looks sophisticated, it may simply reflect the extraction of the principal trend of the graph, as if the cloud of dots was processed as an oriented object. To test this idea, we trained Guinea baboons to associate arbitrary shapes with the increasing or decreasing trends of noiseless and noisy scatterplots, while varying the number of points, the noise level, and the regression slope. Many baboons successfully learned this conditional match-to-sample task, and their accuracy varied as a sigmoid function of the t-value of the regression, the same statistical index upon which humans also base their answers. The perceptual component of human graphics abilities seems thus to be based on the recycling of a phylogenetically older competence of the primate visual system for extracting the principal axes of visual displays.
最近的研究表明,人类无论年龄、教育程度和文化背景如何,都能从有噪声的散点图中提取线性趋势。尽管这种能力看起来很复杂,但它可能只是反映了对图表主要趋势的提取,就好像点云被当作一个有方向的物体来处理。为了验证这一想法,我们训练几内亚狒狒将任意形状与无噪声和有噪声散点图的上升或下降趋势相关联,同时改变点数、噪声水平和回归斜率。许多狒狒成功学会了这种条件性样本匹配任务,它们的准确率随回归t值的S形函数而变化,人类也是基于同样的统计指标来作答的。因此,人类图形能力的感知成分似乎是基于灵长类视觉系统在进化上更古老的一种能力的循环利用,即提取视觉显示的主轴。