The Differential Effects of Reward on Space- and Object-Based Attentional Allocation
Open accessAbstract
Estimating reward contingencies and allocating attentional resources to a subset of relevant information are the most important contributors to increasing adaptability of an organism. Although recent evidence suggests that reward- and attention-based guidance recruits overlapping cortical regions and has similar effects on sensory responses, the exact nature of the relationship between the two remains elusive. Here, using event-related fMRI on human participants, we contrasted the effects of reward on space- and object-based selection in the same experimental setting. Reward was either distributed randomly or biased a particular object. Behavioral and neuroimaging results show that space- and object-based attention is influenced by reward differentially. Space-based attentional allocation is mandatory, integrating reward information over time, whereas object-based attentional allocation is a default setting that is completely replaced by the reward signal. Nonadditivity of the effects of reward and object-based attention was observed consistently at multiple levels of analysis in early visual areas as well as in control regions. These results provide strong evidence that space- and object-based allocation are two independent attentional mechanisms, and suggest that reward serves to constrain attentional selection.
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A series of studies has suggested that reward leads to the complete abolition of object-based attentional guidance.
“a series of studies has suggested that reward leads to the complete abolition of object-based attentional guidance (Lee & Shomstein, 2013; Shomstein & Johnson, 2013).”
From Selection history: How reward modulates selectivity of visual attention. (2018) · cites this paper as Lee & Shomstein, 2013
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- Authors
- Lee, J., & Shomstein, S.
- Affiliations
- George Washington University (US)
- ORCID
- Venue
- Journal of Neuroscience
- Publisher
- Society for Neuroscience
- Published
- 2013-06-26
- Volume
- 33
- Issue
- 26
- Pages
- 10625-10633
- ISSN
- 0270-6474 (ISSN-L)
- 1529-2401
- PMC
- PMC3693052
- OpenAlex
- W2020741642
- Cited by
- 56
- References
- 40
- Citations by year
- 2026: 3 · 2025: 3 · 2024: 3 · 2023: 3 · 2022: 1 · 2021: 5 · 2020: 1 · 2019: 2 · 2018: 4 · 2017: 6 · 2016: 3 · 2015: 10 · 2014: 9 · 2013: 3
- FWCI
- 4.57
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Journal of Neuroscience (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Science Foundation (1059523)
- National Institutes of Health
- National Eye Institute (R21EY021644)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Visual Attention and Saliency Detection
- Keywords
- reward, attention allocation, space-based attention, object-based attention, selective attention, early visual cortex, reward contingency, event-related fMRI
- MeSH terms
- Adult, Analysis of Variance, Attention, Behavior, Brain, Cues, Data Interpretation, Statistical, Female, Form Perception, Humans, Image Processing, Computer-Assisted, Magnetic Resonance Imaging, Male, Oxygen, Photic Stimulation, Psychomotor Performance, Reinforcement Schedule, Reward, Space Perception, Signal Detection, Psychological, Young Adult
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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