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运动信号介导稳态感知。

Motor Signals Mediate Stationarity Perception.

机构信息

6851University of Nevada, Reno, Department of Psychology, Reno, NV 89557, USA.

6851University of Nevada, Reno, Department of Computer Science and Engineering, Reno, NV 89557, USA.

出版信息

Multisens Res. 2023 Oct 13;36(7):703-724. doi: 10.1163/22134808-bja10111.

Abstract

Head movement relative to the stationary environment gives rise to congruent vestibular and visual optic-flow signals. The resulting perception of a stationary visual environment, referred to herein as stationarity perception, depends on mechanisms that compare visual and vestibular signals to evaluate their congruence. Here we investigate the functioning of these mechanisms and their dependence on fixation behavior as well as on the active versus passive nature of the head movement. Stationarity perception was measured by modifying the gain on visual motion relative to head movement on individual trials and asking subjects to report whether the gain was too low or too high. Fitting a psychometric function to the data yields two key parameters of performance. The mean is a measure of accuracy, and the standard deviation is a measure of precision. Experiments were conducted using a head-mounted display with fixation behavior monitored by an embedded eye tracker. During active conditions, subjects rotated their heads in yaw ∼15 deg/s over ∼1 s. Each subject's movements were recorded and played back via rotating chair during the passive condition. During head-fixed and scene-fixed fixation the fixation target moved with the head or scene, respectively. Both precision and accuracy were better during active than passive head movement, likely due to increased precision on the head movement estimate arising from motor prediction and neck proprioception. Performance was also better during scene-fixed than head-fixed fixation, perhaps due to decreased velocity of retinal image motion and increased precision on the retinal image motion estimate. These results reveal how the nature of head and eye movements mediate encoding, processing, and comparison of relevant sensory and motor signals.

摘要

头部相对于静止环境的运动产生了一致的前庭和视觉光流信号。由此产生的对静止视觉环境的感知,本文称之为静止感知,取决于将视觉和前庭信号进行比较以评估其一致性的机制。在这里,我们研究了这些机制的功能及其对固定行为的依赖,以及头部运动的主动与被动性质的依赖。通过在每个试验中修改相对于头部运动的视觉运动增益,并要求受试者报告增益是否过低或过高,来测量静止感知。通过拟合心理测量函数对数据进行拟合,可以得出两个性能的关键参数。平均值是衡量准确性的指标,标准差是衡量精度的指标。实验使用带有嵌入式眼动追踪器的头戴式显示器进行,通过眼动追踪器监测固定行为。在主动条件下,受试者以∼15 度/秒的角速度在∼1 秒内旋转头部。记录每个受试者的运动,并在被动条件下通过旋转椅回放。在头固定和场景固定固定中,固定目标分别随头部或场景移动。与被动头部运动相比,主动头部运动的精度和准确性都更好,这可能是由于运动预测和颈部本体感觉增加了头部运动估计的精度。与头固定固定相比,场景固定固定的性能也更好,这可能是由于视网膜图像运动的速度降低和视网膜图像运动估计的精度提高。这些结果揭示了头部和眼睛运动的性质如何调节相关感觉和运动信号的编码、处理和比较。

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