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注视性眼动可预测视觉敏感度。

Fixational eye movements predict visual sensitivity.

作者信息

Scholes Chris, McGraw Paul V, Nyström Marcus, Roach Neil W

机构信息

Visual Neuroscience Group, School of Psychology, University of Nottingham, Nottingham NG7 2RD, UK

Visual Neuroscience Group, School of Psychology, University of Nottingham, Nottingham NG7 2RD, UK.

出版信息

Proc Biol Sci. 2015 Oct 22;282(1817):20151568. doi: 10.1098/rspb.2015.1568.

Abstract

During steady fixation, observers make small fixational saccades at a rate of around 1-2 per second. Presentation of a visual stimulus triggers a biphasic modulation in fixational saccade rate-an initial inhibition followed by a period of elevated rate and a subsequent return to baseline. Here we show that, during passive viewing, this rate signature is highly sensitive to small changes in stimulus contrast. By training a linear support vector machine to classify trials in which a stimulus is either present or absent, we directly compared the contrast sensitivity of fixational eye movements with individuals' psychophysical judgements. Classification accuracy closely matched psychophysical performance, and predicted individuals' threshold estimates with less bias and overall error than those obtained using specific features of the signature. Performance of the classifier was robust to changes in the training set (novel subjects and/or contrasts) and good prediction accuracy was obtained with a practicable number of trials. Our results indicate a tight coupling between the sensitivity of visual perceptual judgements and fixational eye control mechanisms. This raises the possibility that fixational saccades could provide a novel and objective means of estimating visual contrast sensitivity without the need for observers to make any explicit judgement.

摘要

在稳定注视期间,观察者以每秒约1 - 2次的频率进行微小的注视性扫视。视觉刺激的呈现会引发注视性扫视频率的双相调制——最初的抑制,随后是频率升高的阶段,接着又回到基线水平。在这里我们表明,在被动观看期间,这种频率特征对刺激对比度的微小变化高度敏感。通过训练线性支持向量机对刺激存在或不存在的试验进行分类,我们直接比较了注视性眼动的对比度敏感性与个体的心理物理学判断。分类准确率与心理物理学表现密切匹配,并且与使用特征签名的特定特征相比,预测个体的阈值估计时偏差和总体误差更小。分类器的性能对训练集的变化(新的受试者和/或对比度)具有鲁棒性,并且通过实际可行数量的试验获得了良好的预测准确率。我们的结果表明视觉感知判断的敏感性与注视性眼控机制之间存在紧密耦合。这增加了一种可能性,即注视性扫视可以提供一种新颖且客观的方法来估计视觉对比度敏感性,而无需观察者进行任何明确的判断。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e15/4633872/171701d65d02/rspb20151568-g1.jpg

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