Suppr超能文献

基于空间、物体和特征的注意力相互作用,以组织视觉场景。

Space-, object-, and feature-based attention interact to organize visual scenes.

作者信息

Kravitz Dwight J, Behrmann Marlene

机构信息

Laboratory of Brain and Cognition, National Institute of Mental Health, Bethesda, MD 20892, USA.

出版信息

Atten Percept Psychophys. 2011 Nov;73(8):2434-47. doi: 10.3758/s13414-011-0201-z.

Abstract

Biased-competition accounts of attentional processing propose that attention arises from distributed interactions within and among different types of perceptual representations (e.g., spatial, featural, and object-based). Although considerable research has examined the facilitation in processing afforded by attending selectively to spatial locations, or to features, or to objects, surprisingly little research has addressed a key prediction of the biased-competition account: that attending to any stimulus should give rise to simultaneous interactions across all the types of perceptual representations encompassed by that stimulus. Here we show that, when an object in a visual display is cued, space-, feature-, and object-based forms of attention interact to enhance processing of that object and to create a scene-wide pattern of attentional facilitation. These results provide evidence to support the biased-competition framework and suggest that attention might be thought of as a mechanism by which multiple, disparate bottom-up, and even top-down, visual perceptual representations are coordinated and preferentially enhanced.

摘要

注意力加工的偏向竞争理论认为,注意力源于不同类型感知表征(如空间、特征和基于对象的表征)内部及之间的分布式交互作用。尽管大量研究考察了通过选择性地关注空间位置、特征或对象所带来的加工促进作用,但令人惊讶的是,很少有研究涉及偏向竞争理论的一个关键预测:即关注任何刺激都应引发该刺激所包含的所有类型感知表征之间的同步交互作用。在此我们表明,当视觉显示中的一个对象被提示时,基于空间、特征和对象的注意力形式会相互作用,以增强对该对象的加工,并在整个场景中创建一种注意力促进模式。这些结果为支持偏向竞争框架提供了证据,并表明注意力可能被视为一种机制,通过该机制,多种不同的自下而上甚至自上而下的视觉感知表征得以协调并得到优先增强。

相似文献

1
Space-, object-, and feature-based attention interact to organize visual scenes.
Atten Percept Psychophys. 2011 Nov;73(8):2434-47. doi: 10.3758/s13414-011-0201-z.
2
Sex related biases for attending to object color versus object position are reflected in reaction time and accuracy.
PLoS One. 2019 Jan 9;14(1):e0210272. doi: 10.1371/journal.pone.0210272. eCollection 2019.
3
Object-based attention: shifting or uncertainty?
Atten Percept Psychophys. 2010 Oct;72(7):1743-55. doi: 10.3758/APP.72.7.1743.
4
Effects of cue location and object orientation on object-based attention.
Vision Res. 2025 Jan;226:108521. doi: 10.1016/j.visres.2024.108521. Epub 2024 Nov 19.
5
Integration trumps selection in object recognition.
Curr Biol. 2015 Mar 30;25(7):920-7. doi: 10.1016/j.cub.2015.01.068. Epub 2015 Mar 19.
6
Scene-based and object-centered inhibition of return: evidence for dual orienting mechanisms.
Percept Psychophys. 1999 Jan;61(1):50-60. doi: 10.3758/bf03211948.
7
Object-based suppression in target search but not in distractor inhibition.
Atten Percept Psychophys. 2024 Jul;86(5):1-27. doi: 10.3758/s13414-024-02905-7. Epub 2024 Jun 5.
8
Object-based selection from spatially-invariant representations: evidence from a feature-report task.
Atten Percept Psychophys. 2011 Feb;73(2):447-57. doi: 10.3758/s13414-010-0039-9.
9
Does visual attention select objects or locations?
J Exp Psychol Gen. 1994 Jun;123(2):146-60. doi: 10.1037//0096-3445.123.2.146.
10
Target frequency modulates object-based attention.
Psychon Bull Rev. 2020 Oct;27(5):981-989. doi: 10.3758/s13423-020-01746-3.

引用本文的文献

1
The attentive reconstruction of objects facilitates robust object recognition.
PLoS Comput Biol. 2024 Jun 13;20(6):e1012159. doi: 10.1371/journal.pcbi.1012159. eCollection 2024 Jun.
3
The Ties that Bind: Agnosia, Neglect and Selective Attention to Visual Scale.
Curr Neurol Neurosci Rep. 2021 Sep 29;21(10):54. doi: 10.1007/s11910-021-01139-6.
4
Sex related biases for attending to object color versus object position are reflected in reaction time and accuracy.
PLoS One. 2019 Jan 9;14(1):e0210272. doi: 10.1371/journal.pone.0210272. eCollection 2019.
6
Attending to What and Where: Background Connectivity Integrates Categorical and Spatial Attention.
J Cogn Neurosci. 2018 Sep;30(9):1281-1297. doi: 10.1162/jocn_a_01284. Epub 2018 May 23.
7
Object width modulates object-based attentional selection.
Atten Percept Psychophys. 2018 Aug;80(6):1375-1389. doi: 10.3758/s13414-018-1530-y.
8
Pre-cueing, Perceptual Learning and Cognitive Penetration.
Front Psychol. 2017 May 10;8:739. doi: 10.3389/fpsyg.2017.00739. eCollection 2017.
10
The relationship between visual attention and visual working memory encoding: A dissociation between covert and overt orienting.
J Exp Psychol Hum Percept Perform. 2016 Aug;42(8):1121-1138. doi: 10.1037/xhp0000212. Epub 2016 Feb 8.

本文引用的文献

1
The spatial distribution of attention within and across objects.
J Exp Psychol Hum Percept Perform. 2012 Feb;38(1):135-51. doi: 10.1037/a0024463. Epub 2011 Jul 4.
2
The parallel representation of the objects selected by attention.
J Vis. 2011 Apr 20;11(4):13. doi: 10.1167/11.4.13.
3
Perceptual benefits of objecthood.
J Vis. 2011 Apr 14;11(4):8. doi: 10.1167/11.4.8.
4
Organizational and spatial dynamics of attentional focusing in hierarchically structured objects.
J Exp Psychol Hum Percept Perform. 2011 Jun;37(3):758-80. doi: 10.1037/a0020746.
5
Object-based selection from spatially-invariant representations: evidence from a feature-report task.
Atten Percept Psychophys. 2011 Feb;73(2):447-57. doi: 10.3758/s13414-010-0039-9.
6
Visual search is guided to categorically-defined targets.
Vision Res. 2009 Jul;49(16):2095-103. doi: 10.1016/j.visres.2009.05.017. Epub 2009 Jun 3.
7
Search guidance is proportional to the categorical specificity of a target cue.
Q J Exp Psychol (Hove). 2009 Oct;62(10):1904-14. doi: 10.1080/17470210902853530. Epub 2009 May 19.
8
A normalization model of attentional modulation of single unit responses.
PLoS One. 2009;4(2):e4651. doi: 10.1371/journal.pone.0004651. Epub 2009 Feb 27.
9
The normalization model of attention.
Neuron. 2009 Jan 29;61(2):168-85. doi: 10.1016/j.neuron.2009.01.002.
10
Feature-based attention modulates feedforward visual processing.
Nat Neurosci. 2009 Jan;12(1):24-5. doi: 10.1038/nn.2223. Epub 2008 Nov 23.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验