Top–down and bottom–up control of visual selection
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The present paper argues for the notion that when attention is spread across the visual field in the first sweep of information through the brain visual selection is completely stimulus-driven. Only later in time, through recurrent feedback processing, volitional control based on expectancy and goal set will bias visual selection in a top-down manner. Here we review behavioral evidence as well as evidence from ERP, fMRI, TMS and single cell recording consistent with stimulus-driven selection. Alternative viewpoints that assume a large role for top-down processing are discussed. It is argued that in most cases evidence supporting top-down control on visual selection in fact demonstrates top-down control on processes occurring later in time, following initial selection. We conclude that top-down knowledge regarding non-spatial features of the objects cannot alter the initial selection priority. Only by adjusting the size of the attentional window, the initial sweep of information through the brain may be altered in a top-down way.
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All models of selective attention describe attentional control as the result of interplay between voluntary top-down/goal-driven control and automatic bottom-up/stimulus-driven control.
“All models of selective attention have described attentional control as the result of the above described interplay between voluntary, top-down, or goal-driven control and automatic, bottom-up, or stimulus driven control (e.g., Corbetta & Shulman, 2002; Itti & Koch, 2001; Theeuwes, 2010).”
From Selection history: How reward modulates selectivity of visual attention. (2018) · cites this paper as Theeuwes, 2010
The Introduction (page not supplied) describes voluntary top-down and automatic bottom-up control as competing accounts of attentional selection. The Abstract and §3.1 (pages not supplied) describe roles for both, but specify that initial selection is stimulus-driven and top-down influence comes later. The paper does not support the claim that all models describe selection as an interplay of the two. (LLM, conf=0.85)
Experimental — accuracy not yet measuredThe relative rapid-acting nature of the reward-based selection history bias may explain why it oftentimes escapes top-down attentional control and explicit awareness.
“The relative rapid-acting nature of the reward-based selection history bias may also explain why it oftentimes escapes top-down attentional control and explicit awareness (cf. Theeuwes, 2010).”
From Selection history: How reward modulates selectivity of visual attention. (2018) · cites this paper as Theeuwes, 2010
The Introduction and §3.1 describe initial visual selection as preceding later top-down control, and §3.2.1.2 describes inter-trial priming as automatic and largely unaffected by top-down set. These passages support the proposed timing-based explanation by analogy, but the paper does not establish it for reward-based selection history or address whether that bias escapes explicit awareness. Page numbers were not available in our copy. (LLM, conf=0.85)
Experimental — accuracy not yet measuredTop-down attentional control is volitional and under the control of the observer at any given point in time.
“This so-called top-down (also called endogenous or goal-directed) attentional control is thought to be volitional and under the control of the observer at any given point in time (Posner, 1980; Treisman & Gelade, 1980; Theeuwes, 2010; Wolfe, 2007; Yantis, 2000).”
From Selection history: How reward modulates selectivity of visual attention. (2018) · cites this paper as Theeuwes, 2010
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Self-citationPromoting Novelty in Vision: Inhibition of Return Modulates Perceptual-Level Processing
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No capture outside the attentional window
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Self-citationOn selection in visual immediate memory
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Target uncertainty does not lead to more distraction by singletons: Intertrial priming does
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Self-citationHow does feature-based attention affect visual processing?
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Self-citationAttentional capture by auto- and allo-cues
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Perceptual selectivity for color and form: On the nature of the interference effect.
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Prioritizing selection of new elements: Bottom-up versus top-down control
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Self-citationVariations in the magnitude of attentional capture: Testing a two-process model
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Attentional and Oculomotor Capture
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Self-citationEarly and Late Modulation of Saccade Deviations by Target Distractor Similarity
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Self-citationDoes a salient distractor capture attention early in processing?
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Response Selection Modulates Visual Search Within and Across Dimensions.
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Self-citationThe time course of attentional and oculomotor capture reveals a common cause.
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Attentional capture and inhibition (of return): The effect on perceptual sensitivity
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Self-citationInhibition-of-return and oculomotor interference
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Self-citationInhibition of return and attentional control settings
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Self-citationAttentional capture modulates perceptual sensitivity
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Self-citationEvent-related potential correlates of transient attention shifts to color and location
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Temporal and spatial Characteristics of preattentive and attentive processing
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Context and competition in the capture of visual attention
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Self-citationIrrelevant Singletons Capture Attention
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Self-citationPredicting perception from population codes
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Salience detection and attentional capture
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The role of cueing in attentional capture
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Self-citationPrioritization by transients in visual search
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Self-citationThe identity intrusion effect: Attentional capture or perceptual load?
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Self-citationValue-driven attentional capture
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“Belopolsky and colleagues (Belopolsky, Schreij, & Theeuwes, 2010), for instance, showed that when the attentional set switches randomly from trial to trial, attentional capture by physically salient features (task-relevant and task-irrelevant) cannot be prevented by the observer’s perceptual goals.”
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Self-citationBanishing the Control Homunculi in Studies of Action Control and Behavior Change
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- Authors
- Theeuwes, J.
- Affiliations
- Vrije Universiteit Amsterdam (NL)
- Corresponding author
- Theeuwes, Jan
- ORCID
- Theeuwes, Jan
- Venue
- Acta Psychologica
- Publisher
- Elsevier BV
- Published
- 2010-10
- Volume
- 135
- Issue
- 2
- Pages
- 77-99
- ISSN
- 0001-6918 (ISSN-L)
- OpenAlex
- W2106516151
- Cited by
- 1,385
- References
- 178
- Citations by year
- 2026: 95 · 2025: 96 · 2024: 102 · 2023: 79 · 2022: 82 · 2021: 121 · 2020: 87 · 2019: 98 · 2018: 91 · 2017: 78 · 2016: 74 · 2015: 74 · 2014: 86 · 2013: 83 · 2012: 64
- FWCI
- 5.05
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Acta Psychologica (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- VU Research Portal (publishedVersion, other-oa)
- Digital Academic REpository of VU University Amsterdam (Vrije Universiteit Amsterdam) (submittedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Visual Attention and Saliency Detection
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Keywords
- visual selection, top-down control, bottom-up control, recurrent feedback, expectancy, top-down attention, attentional window, visual attention
- MeSH terms
- Animals, Haplorhini, Attention, Brain Mapping, Cues, Evoked Potentials, Visual, Humans, Models, Psychological, Set, Psychology, Visual Perception, Volition
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