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在平滑追踪眼球运动中感知到头中心化速度的贝叶斯模型。

A Bayesian model of perceived head-centered velocity during smooth pursuit eye movement.

机构信息

School of Psychology, Cardiff University, Park Place, Cardiff CF10 3AT, UK.

出版信息

Curr Biol. 2010 Apr 27;20(8):757-62. doi: 10.1016/j.cub.2010.02.059. Epub 2010 Apr 15.

DOI:10.1016/j.cub.2010.02.059
PMID:20399096
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC2861164/
Abstract

During smooth pursuit eye movement, observers often misperceive velocity. Pursued stimuli appear slower (Aubert-Fleishl phenomenon [1, 2]), stationary objects appear to move (Filehne illusion [3]), the perceived direction of moving objects is distorted (trajectory misperception [4]), and self-motion veers away from its true path (e.g., the slalom illusion [5]). Each illusion demonstrates that eye speed is underestimated with respect to image speed, a finding that has been taken as evidence of early sensory signals that differ in accuracy [4, 6-11]. Here we present an alternative Bayesian account, based on the idea that perceptual estimates are increasingly influenced by prior expectations as signals become more uncertain [12-15]. We show that the speeds of pursued stimuli are more difficult to discriminate than fixated stimuli. Observers are therefore less certain about motion signals encoding the speed of pursued stimuli, a finding we use to quantify the Aubert-Fleischl phenomenon based on the assumption that the prior for motion is centered on zero [16-20]. In doing so, we reveal an important property currently overlooked by Bayesian models of motion perception. Two Bayes estimates are needed at a relatively early stage in processing, one for pursued targets and one for image motion.

摘要

在平稳追踪眼动中,观察者经常会产生速度错觉。被追踪的刺激物看起来更慢(奥伯特-弗莱施尔现象[1,2]),静止的物体看起来在移动(菲莱涅尔错觉[3]),移动物体的感知方向发生扭曲(轨迹错觉[4]),而自身运动则偏离真实路径(如,障碍滑雪错觉[5])。每个错觉都表明,相对于图像速度,眼睛速度被低估了,这一发现被认为是早期感官信号准确性不同的证据[4,6-11]。在这里,我们提出了一种基于信号变得越不确定时,知觉估计就越受先验期望影响的贝叶斯替代解释[12-15]。我们发现,被追踪的刺激物的速度比固定刺激物更难区分。因此,观察者对编码被追踪刺激物速度的运动信号的不确定性更小,我们利用这一发现来根据运动的先验假设为零的前提来量化奥伯特-弗莱施尔现象[16-20]。这样做,我们揭示了当前运动知觉贝叶斯模型忽略的一个重要特性。在处理的相对早期阶段,需要两个贝叶斯估计,一个用于被追踪的目标,一个用于图像运动。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/25b4/2861164/0f28142f781c/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/25b4/2861164/2a7d9e580f8c/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/25b4/2861164/54cb955cfd13/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/25b4/2861164/3296e922ea23/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/25b4/2861164/0f28142f781c/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/25b4/2861164/2a7d9e580f8c/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/25b4/2861164/54cb955cfd13/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/25b4/2861164/3296e922ea23/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/25b4/2861164/0f28142f781c/gr4.jpg

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Do we have direct access to retinal image motion during smooth pursuit eye movements?在平稳跟踪眼球运动过程中,我们能否直接获取视网膜图像运动信息?
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