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视觉和本体感觉在一个新的归巢任务中对路径整合做出同等贡献。

Vision and proprioception make equal contributions to path integration in a novel homing task.

机构信息

University of California, Santa Barbara, Department of Geography, 1832 Ellison Hall, Santa Barbara, CA 93106-4060, USA.

University of California, Santa Barbara, Department of Geography, 1832 Ellison Hall, Santa Barbara, CA 93106-4060, USA.

出版信息

Cognition. 2019 Nov;192:103998. doi: 10.1016/j.cognition.2019.06.010. Epub 2019 Jun 20.

Abstract

Navigation is a vital cognitive function for animals to find resources and avoid danger, and navigational processes are theorized to be a critical evolutionary foundation of episodic memory. Path integration, the continuous updating of position and orientation during self-motion, is a major contributor to spatial navigation. However, the most common paradigm for testing path integration-triangle completion-includes potential sources of error that cannot be disentangled. Here, we introduce a novel loop closure paradigm to test path integration, including the relative contributions of visual and body-based cues to performance. Contrary to triangle completion, we found that vestibular information alone led to chance performance, while visual optic flow and proprioception made relatively equal and independent contributions. The integration of these two cues was previously unknown, and we found that the two cues were not integrated in a Bayesian ideal manner. Our novel paradigm demonstrates the importance of both vision and proprioception to human path integration and provides the first test of optic flow and proprioception Bayesian cue combination for homing behavior. These findings open up new avenues to study navigation.

摘要

导航是动物寻找资源和避免危险的重要认知功能,而导航过程被理论化为情景记忆的关键进化基础。路径整合是自我运动过程中位置和方向的连续更新,是空间导航的主要贡献者。然而,测试路径整合的最常见范式——三角形完成——包括无法分离的潜在误差源。在这里,我们引入了一种新的闭环范式来测试路径整合,包括视觉和基于身体的线索对性能的相对贡献。与三角形完成相反,我们发现仅前庭信息会导致随机表现,而视觉光流和本体感觉则做出了相对平等且独立的贡献。这两个线索的整合以前是未知的,我们发现这两个线索没有以贝叶斯理想的方式整合。我们的新范式证明了视觉和本体感觉对人类路径整合的重要性,并首次测试了光流和本体感觉贝叶斯线索组合对归巢行为的影响。这些发现为研究导航开辟了新途径。

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