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Numerosity estimation benefits from transsaccadic information integration

机译：跨音域信息集成可帮助进行孔隙度估算

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Humans achieve a stable and homogeneous representation of their visual environment, although visual processing varies across the visual field. Here we investigated the circumstances under which peripheral and foveal information is integrated for numerosity estimation across saccades. We asked our participants to judge the number of black and white dots on a screen. Information was presented either in the periphery before a saccade, in the fovea after a saccade, or in both areas consecutively to measure transsaccadic integration. In contrast to previous findings, we found an underestimation of numerosity for foveal presentation and an overestimation for peripheral presentation. We used a maximum-likelihood model to predict accuracy and reliability in the transsaccadic condition based on peripheral and foveal values. We found near-optimal integration of peripheral and foveal information, consistently with previous findings about orientation integration. In three consecutive experiments, we disrupted object continuity between the peripheral and foveal presentations to probe the limits of transsaccadic integration. Even for global changes on our numerosity stimuli, no influence of object discontinuity was observed. Overall, our results suggest that transsaccadic integration is a robust mechanism that also works for complex visual features such as numerosity and is operative despite internal or external mismatches between foveal and peripheral information. Transsaccadic integration facilitates an accurate and reliable perception of our environment.
机译：尽管视觉处理在整个视野中各不相同，但人类可以稳定，均匀地表示其视觉环境。在这里，我们调查了周围和中央凹信息被整合用于扫视的数字估计的情况。我们要求参与者判断屏幕上黑白点的数量。信息在扫视前的周围，扫视后的中央凹或连续测量这两个区域的信息，以测量经声结合。与以前的发现相反，我们发现中心凹表现的数字低估，而周围表现的高估。我们使用最大似然模型根据周围和中央凹值预测经跨器官疾病的准确性和可靠性。我们发现周围和中央凹信息的最佳整合，与以前有关定向整合的发现一致。在三个连续的实验中，我们打断了周围和中央凹表现之间的物体连续性，以探查经s融合的极限。即使对于我们的数字刺激的整体变化，也没有观察到物体间断的影响。总体而言，我们的研究结果表明，跨窦融合是一种健壮的机制，即使在中央凹和周围信息之间存在内部或外部失配，也可用于复杂的视觉特征（如数字），并且仍然有效。 Transsaccadic集成有助于准确而可靠地感知我们的环境。

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