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双眼对运动过程中运动检测和运动辨别能力的贡献。

Binocular contributions to motion detection and motion discrimination during locomotion.

作者信息

Guo Hongyi, Allison Robert S

机构信息

Centre for Vision Research, York University, Toronto, ON, Canada.

Department of Electrical Engineering and Computer Science, York University, Toronto, ON, Canada.

出版信息

PLoS One. 2024 Dec 20;19(12):e0315392. doi: 10.1371/journal.pone.0315392. eCollection 2024.

Abstract

During locomotion, the visual system can factor out the motion component caused by observer locomotion from the complex target flow vector to obtain the world-relative target motion. This process, which has been termed flow parsing, is known to be incomplete, but viewing with both eyes could potentially aid in this task. Binocular disparity and binocular summation could both improve performance when viewing with both eyes. To separate the binocular disparity and binocular summation and analyse how they affect flow parsing, we tested detection and discrimination thresholds under three viewing conditions: stereoscopic, synoptic (binocular but without disparity) and monocular. Experiment 1 tested motion detection during simulated forward self-motion and when stationary. Experiment 2 and 3 tested motion discrimination in forward and backward self-motion and stationary conditions. We found that binocular disparity significantly improved detection thresholds and discrimination biases, at the cost of lower precision. Binocular summation only significantly improved detection thresholds when stationary. It did not significantly affect detection thresholds during locomotion, discrimination biases, or discrimination precisions. Our results indicated that both binocular summation and binocular disparity contribute to motion detection and motion discrimination, but they affect performance differently while stationary and during locomotion.

摘要

在运动过程中,视觉系统能够从复杂的目标流向量中分离出由观察者运动引起的运动分量,从而获得相对于世界的目标运动。这个过程被称为流解析,已知它并不完整,但双眼观察可能有助于完成这项任务。双眼视差和双眼总和在双眼观察时都可能提高性能。为了区分双眼视差和双眼总和,并分析它们如何影响流解析,我们在三种观察条件下测试了检测和辨别阈值:立体视觉、全景视觉(双眼但无视差)和单眼视觉。实验1测试了模拟向前自我运动和静止时的运动检测。实验2和3测试了向前和向后自我运动以及静止条件下的运动辨别。我们发现,双眼视差显著提高了检测阈值和辨别偏差,但代价是精度降低。双眼总和仅在静止时显著提高了检测阈值。它在运动过程中对检测阈值、辨别偏差或辨别精度没有显著影响。我们的结果表明,双眼总和和双眼视差都有助于运动检测和运动辨别,但它们在静止和运动时对性能的影响不同。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cc53/11661591/f4cd69b14ce4/pone.0315392.g001.jpg

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