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训练有素和未经训练的观察者持续注视的精度。

Precision of sustained fixation in trained and untrained observers.

作者信息

Cherici Claudia, Kuang Xutao, Poletti Martina, Rucci Michele

机构信息

Department of Psychology, Boston University, Boston, MA, USA.

出版信息

J Vis. 2012 Jun 22;12(6):31. doi: 10.1167/12.6.31.

Abstract

During visual fixation, microscopic eye movements shift the image on the retina over a large number of photoreceptors. Although these movements have been investigated for almost a century, the amount of retinal image motion they create remains unclear. Currently available estimates rely on assumptions about the probability distributions of eye movements that have never been tested. Furthermore, these estimates were based on data collected with only a few, highly experienced and motivated observers and may not be representative of the instability of naive and inexperienced subjects in experiments that require steady fixation. In this study, we used a high-resolution eye-tracker to estimate the probability distributions of gaze position in a relatively large group of human observers, most of whom were untrained, while they were asked to maintain fixation at the center of a uniform field in the presence/absence of a fixation marker. In all subjects, the probability distribution of gaze position deviated from normality, the underlying assumption of most previous studies. The resulting fixational dispersion of gaze was much larger than previously reported and varied greatly across individuals. Unexpectedly, the precision by which different observers maintained fixation on the marker was best predicted by the properties of ocular drift rather than those of microsaccades. Our results show that, during fixation, the eyes move by larger amounts and at higher speeds than commonly assumed and highlight the importance of ocular drift in maintaining accurate fixation.

摘要

在视觉注视过程中,微观眼动会使视网膜上的图像在大量光感受器上移动。尽管对这些眼动的研究已近一个世纪,但它们所产生的视网膜图像运动量仍不清楚。目前可用的估计依赖于从未经过检验的关于眼动概率分布的假设。此外,这些估计是基于仅少数经验丰富且积极性高的观察者收集的数据,在需要稳定注视的实验中,可能无法代表未经过训练和缺乏经验的受试者的不稳定性。在本研究中,我们使用高分辨率眼动追踪器来估计相对大量的人类观察者(其中大多数未经训练)在有/无注视标记的情况下保持注视在均匀视野中心时注视位置的概率分布。在所有受试者中,注视位置的概率分布偏离了正态性,而正态性是大多数先前研究的基本假设。由此产生的注视分散比先前报道的要大得多,并且个体间差异很大。出乎意料的是,不同观察者保持对标记注视的精度最好由眼漂移特性而非微扫视特性来预测。我们的结果表明,在注视过程中,眼睛移动的幅度和速度比通常假设的要大,并突出了眼漂移在保持精确注视中的重要性。

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本文引用的文献

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Temporal encoding of spatial information during active visual fixation.主动视觉注视时空间信息的时间编码。
Curr Biol. 2012 Mar 20;22(6):510-4. doi: 10.1016/j.cub.2012.01.050. Epub 2012 Feb 16.
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Proc Natl Acad Sci U S A. 2011 Sep 27;108(39):E765-70. doi: 10.1073/pnas.1102730108. Epub 2011 Aug 22.
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Bayesian model of dynamic image stabilization in the visual system.视觉系统中动态图像稳定的贝叶斯模型。
Proc Natl Acad Sci U S A. 2010 Nov 9;107(45):19525-30. doi: 10.1073/pnas.1006076107. Epub 2010 Oct 11.
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Microsaccades: small steps on a long way.微扫视:漫长道路上的小步伐。
Vision Res. 2009 Oct;49(20):2415-41. doi: 10.1016/j.visres.2009.08.010. Epub 2009 Aug 13.
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Generation-V dual-Purkinje-image eyetracker.第五代双浦肯野图像眼动仪
Appl Opt. 1985 Feb 15;24(4):527. doi: 10.1364/ao.24.000527.

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