Control from below: the role of a midbrain network in spatial attention
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Spatial attention enables the brain to analyse and evaluate information selectively from a specific location in space, a capacity essential for any animal to behave adaptively in a complex world. We usually think of spatial attention as being controlled by a frontoparietal network in the forebrain. However, emerging evidence shows that a midbrain network also plays a critical role in controlling spatial attention. Moreover, the highly differentiated, retinotopic organization of the midbrain network, especially in birds, makes it amenable to detailed analysis with modern techniques that can elucidate circuit, cellular and synaptic mechanisms of attention. The following review discusses the role of the midbrain network in controlling attention, the neural circuits that support this role and current knowledge about the computations performed by these circuits.
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Current evidence from animal studies is consistent with cholinergic signaling contributing preferentially to exogenous attention.
“Current evidence from animal studies is consistent with cholinergic signaling contributing preferentially to exogenous attention [46]”
From Linking ADHD to the Neural Circuitry of Attention (2017) · cites this paper as [46]
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Flagged first, then by citations
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Cited by
Sorted by citations
The ecology of human fear: survival optimization and the nervous system
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Altering Spatial Priority Maps via Reward-Based Learning
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Linking ADHD to the Neural Circuitry of Attention
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Dynamic representation of 3D auditory space in the midbrain of the free-flying echolocating bat
Kothari, N. B., Wohlgemuth, M. J., & Moss, C. F. (2018) · eLife · doi:10.7554/elife.29053 · Cited by 54 · see citing works
Early cortical signals in visual stimulus detection
Kwon, H., Kronemer, S. I., Christison-Lagay, K. L., Khalaf, A., Li, J., Ding, J. Z., Freedman, N. C., & Blumenfeld, H. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.118608 · Cited by 31 · see citing works
- Authors
- Knudsen, E. I.
- Affiliations
- Stanford Medicine (US)
- Corresponding author
- Knudsen, Eric I.
- ORCID
- Knudsen, Eric I.
- Venue
- European Journal of Neuroscience
- Publisher
- Wiley
- Published
- 2011-06
- Volume
- 33
- Issue
- 11
- Pages
- 1961-1972
- ISSN
- 0953-816X (ISSN-L)
- 1460-9568
- PMC
- PMC3111946
- OpenAlex
- W2161202549
- Cited by
- 148
- References
- 140
- Citations by year
- 2026: 5 · 2025: 7 · 2024: 8 · 2023: 8 · 2022: 14 · 2021: 9 · 2020: 11 · 2019: 5 · 2018: 7 · 2017: 11 · 2016: 16 · 2015: 11 · 2014: 17 · 2013: 7 · 2012: 9
- FWCI
- 0.98
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- European Journal of Neuroscience (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institutes of Health
- Goddard Space Flight Center
- National Eye Institute (R01EY019179)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Multisensory perception and integration
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Visual Attention and Saliency Detection
- Keywords
- spatial attention, retinotopic organization, birds, neural circuits, attentional control, frontoparietal network, synaptic mechanisms
- MeSH terms
- Animals, Attention, Mesencephalon, Nerve Net, Neural Pathways, Space Perception
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.
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