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形状有助于计数:脑电位和微状态揭示了人类视觉中形状和数量之间的相互作用。

Shape facilitates number: brain potentials and microstates reveal the interplay between shape and numerosity in human vision.

机构信息

Department of Psychology, University of Stirling, Stirling, FK9 4LA, Scotland, UK.

出版信息

Sci Rep. 2020 Jul 24;10(1):12413. doi: 10.1038/s41598-020-68788-4.

Abstract

Recognition of simple shapes and numerosity estimation for small quantities are often studied independently of each other, but we know that these processes are both rapid and accurate, suggesting that they may be mediated by common neural mechanisms. Here we address this issue by examining how spatial configuration, shape complexity, and luminance polarity of elements affect numerosity estimation. We directly compared the Event Related Potential (ERP) time-course for numerosity estimation under shape and random configurations and found a larger N2 component for shape over lateral-occipital electrodes (250-400 ms), which also increased with higher numbers. We identified a Left Mid Frontal (LMF; 400-650 ms) component over left-lateralised medial frontal sites that specifically separated low and high numbers of elements, irrespective of their spatial configuration. Different luminance-polarities increased N2 amplitude only, suggesting that shape but not numerosity is selective to polarity. Functional microstates confined numerosity to a strict topographic distribution occurring within the LMF time-window, while a microstate responding only to shape-configuration was evidenced earlier, in the N2 time-window. We conclude that shape-coding precedes numerosity estimation, which can be improved when the number of elements and shape vertices are matched. Thus, numerosity estimation around the subitizing range is facilitated by a shape-template matching process.

摘要

识别简单形状和小数量的数值估计通常是相互独立地进行研究的,但我们知道这些过程既快速又准确,这表明它们可能由共同的神经机制介导。在这里,我们通过检查元素的空间配置、形状复杂性和亮度极性如何影响数值估计来解决这个问题。我们直接比较了形状和随机配置下数值估计的事件相关电位 (ERP) 时程,并发现形状在侧枕叶电极(250-400ms)上产生了更大的 N2 成分,该成分也随着数量的增加而增加。我们在左侧额中(LMF;400-650ms)识别出一个特定于左侧额中额区的成分,无论其空间配置如何,该成分都可以区分低数量和高数量的元素。不同的亮度极性仅增加了 N2 振幅,这表明形状而不是数值对极性具有选择性。功能微状态将数值限制在严格的拓扑分布内,该分布发生在 LMF 时间窗口内,而仅对形状配置有反应的微状态则在 N2 时间窗口内更早出现。我们得出结论,形状编码先于数值估计,当元素数量和形状顶点匹配时,数值估计可以得到改善。因此,在亚计数范围内,数值估计受到形状模板匹配过程的促进。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1d47/7381628/5833a80115fe/41598_2020_68788_Fig1_HTML.jpg

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