Department of Psychology, University of Milano-Bicocca, Italy.
Department of Psychology, University of Milano-Bicocca, Italy; NeuroMI, Milan Center for Neuroscience, Milano, Italy.
Vision Res. 2021 Jun;183:41-52. doi: 10.1016/j.visres.2021.01.011. Epub 2021 Mar 3.
How non-symbolic numerosity is visually extracted remains a matter of intense debate. Most evidence suggests that numerosity is directly extracted on individual objects following Weber's law, at least for a moderate numerical range. Alternative accounts propose that, whatever the range, numerosity is indirectly derived from summary texture-statistics of the raw image such as spatial frequency (SF). Here, to disentangle these accounts, we tested whether the well-known behavioural signature of numerosity encoding (ratio effect) is preserved despite the equalisation of the SF content. In Experiment 1, participants had to select the numerically larger of two briefly presented moderate-range numerical sets (i.e., 8-18 dots) carefully matched for SF; the ratio between numerosities was manipulated by levels of increasing difficulty (e.g., 0.66, 0.75, 0.8). In Experiment 2, participants performed the same task, but they were presented with both the original and SF equalised stimuli. In both experiments, the results clearly showed a ratio-dependence of the performance: numerosity discrimination became harder and slower as the ratio between numerosities increased. Moreover, this effect was found to be independent of the stimulus type, although the overall performance was better with the original rather than the SF equalised stimuli (Experiment 2). Taken together, these findings indicate that the power spectrum per se cannot explain the main behavioural signature of Weber-like encoding of numerosities (the ratio effect), at least over the tested numerical range, partially challenging alternative indirect accounts of numerosity processing.
非符号数量是如何被视觉提取的仍然是一个激烈争论的问题。大多数证据表明,数量是直接从单个物体中按照韦伯定律提取的,至少对于中等数量范围是这样。替代解释提出,无论数量范围如何,数量都是从原始图像的摘要纹理统计信息(如空间频率 (SF))间接推导出来的。在这里,为了理清这些解释,我们测试了数量编码的行为特征(比率效应)是否在 SF 内容均衡的情况下仍然保留。在实验 1 中,参与者必须从两个短暂呈现的中等数量范围(即 8-18 个点)中选择数量较大的数字,这些数字的 SF 精心匹配;数量之间的比率通过增加难度的水平来操纵(例如,0.66、0.75、0.8)。在实验 2 中,参与者执行相同的任务,但他们同时呈现原始和 SF 均衡的刺激。在这两个实验中,结果清楚地显示了性能的比率依赖性:随着数量之间的比率增加,数量辨别变得更加困难和缓慢。此外,尽管原始刺激的整体性能优于 SF 均衡刺激(实验 2),但发现该效应与刺激类型无关。综上所述,这些发现表明,至少在测试的数量范围内,频谱本身不能解释类似于 Weber 的数量编码的主要行为特征(比率效应),这部分挑战了数量处理的替代间接解释。