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眼动后的捆绑问题。

The Binding Problem after an eye movement.

作者信息

Dowd Emma Wu, Golomb Julie D

机构信息

Department of Psychology, The Ohio State University, 1835 Neil Ave, Columbus, OH, 43210, USA.

出版信息

Atten Percept Psychophys. 2020 Jan;82(1):168-180. doi: 10.3758/s13414-019-01739-y.

Abstract

Spatial attention is thought to be the "glue" that binds features together (e.g., Treisman & Gelade, 1980, Psychology, 12[1], 97-136)-but attention is dynamic, constantly moving across multiple goals and locations. For example, when a person moves her eyes, visual inputs that are coded relative to the eyes (retinotopic) must be rapidly updated to maintain stable world-centered (spatiotopic) representations. Here, we examined how dynamic updating of spatial attention after a saccadic eye movement affects object-feature binding. Immediately after a saccade, participants were simultaneously presented with four colored and oriented bars (one at a precued spatiotopic target location) and instructed to reproduce both the color and orientation of the target item. Object-feature binding was assessed by applying probabilistic mixture models to the joint distribution of feature errors: feature reports for the target item could be correlated (and thus bound together) or independent. We found that compared with holding attention without an eye movement, attentional updating after an eye movement produced more independent errors, including illusory conjunctions, in which one feature of the item at the spatiotopic target location was misbound with the other feature of the item at the initial retinotopic location. These findings suggest that even when only one spatiotopic location is task relevant, spatial attention-and thus object-feature binding-is malleable across and after eye movements, heightening the challenge that eye movements pose for the binding problem and for visual stability.

摘要

空间注意力被认为是将各种特征结合在一起的“粘合剂”(例如,特雷斯曼和吉拉德,1980年,《心理学》,12[1],97 - 136)——但注意力是动态的,不断在多个目标和位置间转移。例如,当一个人移动她的眼睛时,相对于眼睛编码的视觉输入(视网膜拓扑)必须迅速更新,以维持以世界为中心的稳定表征(空间拓扑)。在此,我们研究了扫视眼动后空间注意力的动态更新如何影响物体特征的绑定。扫视眼动后,立即向参与者同时呈现四个带有颜色和方向的条形物(其中一个位于预先提示的空间拓扑目标位置),并要求他们再现目标项目的颜色和方向。通过将概率混合模型应用于特征误差的联合分布来评估物体特征的绑定:目标项目的特征报告可能是相关的(因此绑定在一起),也可能是独立的。我们发现,与不进行眼动而保持注意力相比,眼动后的注意力更新产生了更多独立的误差,包括错觉性结合,即空间拓扑目标位置处项目的一个特征与初始视网膜拓扑位置处项目的另一个特征错误绑定。这些发现表明,即使只有一个空间拓扑位置与任务相关,空间注意力——以及物体特征的绑定——在眼动过程中和眼动后都是可塑的,这增加了眼动对绑定问题和视觉稳定性所带来的挑战。

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本文引用的文献

1
Object-Feature Binding Survives Dynamic Shifts of Spatial Attention.
Psychol Sci. 2019 Mar;30(3):343-361. doi: 10.1177/0956797618818481. Epub 2019 Jan 29.
2
New perspectives on binding in visual working memory.
Br J Psychol. 2019 May;110(2):207-244. doi: 10.1111/bjop.12345. Epub 2018 Oct 8.
3
Neural Architecture for Feature Binding in Visual Working Memory.
J Neurosci. 2017 Apr 5;37(14):3913-3925. doi: 10.1523/JNEUROSCI.3493-16.2017. Epub 2017 Mar 7.
4
Object-location binding across a saccade: A retinotopic spatial congruency bias.
Atten Percept Psychophys. 2017 Apr;79(3):765-781. doi: 10.3758/s13414-016-1263-8.
5
Evaluating and excluding swap errors in analogue tests of working memory.
Sci Rep. 2016 Jan 13;6:19203. doi: 10.1038/srep19203.
6
Breaking Object Correspondence Across Saccadic Eye Movements Deteriorates Object Recognition.
Front Syst Neurosci. 2015 Dec 21;9:176. doi: 10.3389/fnsys.2015.00176. eCollection 2015.
7
Evidence for Optimal Integration of Visual Feature Representations across Saccades.
J Neurosci. 2015 Jul 15;35(28):10146-53. doi: 10.1523/JNEUROSCI.1040-15.2015.
8
Bayesian Assessment of Null Values Via Parameter Estimation and Model Comparison.
Perspect Psychol Sci. 2011 May;6(3):299-312. doi: 10.1177/1745691611406925.
9
Divided spatial attention and feature-mixing errors.
Atten Percept Psychophys. 2015 Nov;77(8):2562-9. doi: 10.3758/s13414-015-0951-0.
10
Feature-binding errors after eye movements and shifts of attention.
Psychol Sci. 2014 May 1;25(5):1067-78. doi: 10.1177/0956797614522068. Epub 2014 Mar 19.

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