The Mechanisms and Neural Signature of Time-averaged Numerosity Perception

IF 3.1 3区 医学 Q2 NEUROSCIENCES Journal of Cognitive Neuroscience Pub Date : 2025-01-23 DOI:10.1162/jocn_a_02263
Irene Togoli;Olivier Collignon;Domenica Bueti;Michele Fornaciai
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Abstract

The animal brain is endowed with an innate sense of number allowing to intuitively perceive the approximate quantity of items in a scene, or “numerosity.” This ability is not limited to items distributed in space, but also to events unfolding in time and to the average numerosity of dynamic scenes. How the brain computes and represents the average numerosity over time, however, remains unclear. Here, we investigate the mechanisms and EEG signature of the perception of average numerosity over time. To do so, we used stimuli composed of a variable number (3–12) of briefly presented dot arrays (50 msec each) and asked participants to judge the average numerosity of the sequence. We first show that the weight of different portions of the stimuli in determining the judgment depends on how many arrays are included in the sequence itself: the longer the sequence, the lower the weight of the latest arrays. Second, we show systematic adaptation effects across stimuli in consecutive trials. Importantly, the EEG results highlight two processing stages whereby the amplitude of occipital ERPs reflects the adaptation effect (∼300 msec after stimulus onset) and the accuracy and precision of average numerosity judgments (∼450–700 msec). These two stages are consistent with processes involved with the representation of perceived average numerosity and with perceptual decision-making, respectively. Overall, our findings provide new evidence showing how the visual system computes the average numerosity of dynamic visual stimuli, and support the existence of a dedicated, relatively low-level perceptual mechanism mediating this process.
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时间平均数值感知的机制和神经特征。
动物大脑具有与生俱来的数字感,能够直观地感知场景中物品的大致数量,即 "数量感"。这种能力不仅限于空间分布的物品,还包括在时间中展开的事件和动态场景的平均数量。然而,大脑是如何计算和表示随时间变化的平均数值的,目前仍不清楚。在这里,我们研究了感知随时间变化的平均数值的机制和脑电图特征。为此,我们使用了由不同数量(3-12 个)短暂呈现的点阵(每个点阵 50 毫秒)组成的刺激物,并要求参与者判断序列的平均数字度。我们首先证明,刺激物不同部分在判断中的权重取决于序列本身包含多少个点阵:序列越长,最新点阵的权重越低。其次,我们显示了连续试验中不同刺激的系统适应效应。重要的是,脑电图结果突出了两个处理阶段,枕叶 ERP 的振幅反映了适应效应(刺激开始后 300 毫秒)和平均数字判断的准确性和精确性(450-700 毫秒)。这两个阶段分别与感知平均数值的表征过程和感知决策过程相一致。总之,我们的研究结果提供了新的证据,说明视觉系统是如何计算动态视觉刺激的平均数值的,并支持存在一种专门的、相对低级的知觉机制来介导这一过程。
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来源期刊
Journal of Cognitive Neuroscience
Journal of Cognitive Neuroscience 医学-神经科学
CiteScore
5.30
自引率
3.10%
发文量
151
审稿时长
3-8 weeks
期刊介绍: Journal of Cognitive Neuroscience investigates brain–behavior interaction and promotes lively interchange among the mind sciences.
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