Differential Contribution of Low- and High-level Image Content to Eye Movements in Monkeys and Humans

N. Wilming, Tim C Kietzmann, M. Jutras, Cheng Xue, S. Treue, E. Buffalo, P. König
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引用次数: 6

Abstract

Abstract Oculomotor selection exerts a fundamental impact on our experience of the environment. To better understand the underlying principles, researchers typically rely on behavioral data from humans, and electrophysiological recordings in macaque monkeys. This approach rests on the assumption that the same selection processes are at play in both species. To test this assumption, we compared the viewing behavior of 106 humans and 11 macaques in an unconstrained free‐viewing task. Our data‐driven clustering analyses revealed distinct human and macaque clusters, indicating species‐specific selection strategies. Yet, cross‐species predictions were found to be above chance, indicating some level of shared behavior. Analyses relying on computational models of visual saliency indicate that such cross‐species commonalities in free viewing are largely due to similar low‐level selection mechanisms, with only a small contribution by shared higher level selection mechanisms and with consistent viewing behavior of monkeys being a subset of the consistent viewing behavior of humans.
猴子和人类的低和高图像内容对眼球运动的差异贡献
眼动选择对我们对环境的体验有着根本性的影响。为了更好地理解潜在的原理,研究人员通常依赖于人类的行为数据和猕猴的电生理记录。这种方法基于这样的假设,即两个物种都经历了相同的选择过程。为了验证这一假设,我们比较了106名人类和11只猕猴在无约束自由观看任务中的观看行为。我们的数据驱动聚类分析揭示了人类和猕猴不同的聚类,这表明了物种特异性的选择策略。然而,跨物种预测被发现高于偶然,表明某种程度上的共同行为。基于视觉显著性计算模型的分析表明,这种自由观看的跨物种共性很大程度上是由于相似的低水平选择机制,只有一小部分是由共享的高水平选择机制造成的,而且猴子的一致观看行为是人类一致观看行为的一个子集。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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