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Neural Mechanisms of Spatial Selective Attention in Areas V1, V2, and V4 of Macaque Visual Cortex
Abstract
Many neurons in extrastriate visual cortex have large receptive fields, and this may lead to significant computational problems whenever multiple stimuli fall within a single field. Previous studies have suggested that when multiple stimuli fall within a cell's receptive field, they compete for the cell's response in a manner that can be biased in favor of attended stimuli. In the present study we examined this role of attention in areas V1, V2, and V4 of macaque monkeys with the use of a behavioral paradigm in which attention was directed to one of two stimulus locations. When two stimuli were presented simultaneously inside the cell's receptive field (which could be accomplished only in areas V2 and V4), we found that the cell's response was strongly influenced by which of the two stimuli was attended. The size of this attention effect was reduced when the attended and ignored stimuli were presented sequentially rather than simultaneously. In addition, the effects became very weak and inconsistent in these areas when only one of the two stimuli was located inside the receptive field. Attention thus modulated sensory responses primarily when two or more simultaneous stimuli competed for access to a neuron's receptive field. As in areas V2 and V4, attention did not modulate sensory responses in area V1 when only a single stimulus was inside the receptive field. In addition, the small receptive fields in this area precluded the simultaneous presentation of attended and ignored stimuli inside the receptive field, making it impossible to determine whether attention effects would be observed under the conditions that led to consistent attention effects in areas V2 and V4. Spontaneous firing rates in areas V2 and V4 were found to be 30-40% higher when attention was directed inside rather than outside the receptive field, even when no stimulus was present in the receptive field. Spontaneous firing rates also varied according to the particular location within the receptive field that was attended. These shifts in spontaneous activity may reflect a top-down signal that biases responses in favor of stimuli at the attended location.
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“increases the S/N and both spontaneous and evoked firing rates (Luck et al., 1997; McAdams and Maunsell, 1999b; Reynolds et al., 1999; Reynolds and Desimone, 1999)”
From Waking state: rapid variations modulate neural and behavioral responses (2015) · cites this paper as Luck et al., 1997
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Cites
Posner, M. I. (1980) · Quarterly Journal of Experimental Psychology · doi:10.1080/00335558008248231 · Cited by 9,670
Neural Mechanisms of Selective Visual Attention
Desimone, R., & Duncan, J. (1995) · Annual Review of Neuroscience · doi:10.1146/annurev.ne.18.030195.001205 · Cited by 8,388
Self-citationVisual Feature Integration and the Temporal Correlation Hypothesis
Singer, W., & Gray, C. M. (1995) · Annual Review of Neuroscience · doi:10.1146/annurev.ne.18.030195.003011 · Cited by 3,217
Selective Attention Gates Visual Processing in the Extrastriate Cortex
Moran, J., & Desimone, R. (1985) · Science · doi:10.1126/science.4023713 · Cited by 2,433
Coherent oscillations: A mechanism of feature linking in the visual cortex?
Eckhorn, R., Bauer, R., Jordan, W., Brosch, M., Kruse, W., Munk, M., & Reitboeck, H. J. (1988) · Biological Cybernetics · doi:10.1007/bf00202899 · Cited by 2,329
Selective Attention Gates Visual Processing in the Extrastriate Cortex
Moran, J., & Desimone, R. (2003) · The MIT Press eBooks · doi:10.7551/mitpress/2834.003.0024 · Cited by 2,164
(1990) · CaltechAUTHORS (California Institute of Technology) · Cited by 1,661
Strategies and models of selective attention.
Treisman, A. (1969) · Psychological Review · doi:10.1037/h0027242 · Cited by 1,234
A neural basis for visual search in inferior temporal cortex
Chelazzi, L., Miller, E. K., Duncan, J., & Desimone, R. (1993) · Nature · doi:10.1038/363345a0 · Cited by 1,114
Self-citationMotter, B. C. (1993) · Journal of Neurophysiology · doi:10.1152/jn.1993.70.3.909 · Cited by 1,055
Flagged first, then by citations
Research works printed but not linked: 7
- Chelazzi L., 1994, Soc. Neurosci. Abstr., 20, 1054
- Crick F., 1990, Semin. Neurosci., 2, 263
- Nicholas J., 1996, Soc. Neurosci. Abstr., 22, 1614
- 10.1037/0096-1523.12.3.361 · DOI
- Reynolds J., 1994, Soc. Neurosci. Abstr., 20, 1054
- Reynolds J., 1995, Soc. Neurosci. Abstr., 21, 1759
- Reynolds J., 1996, Soc. Neurosci. Abstr., 22, 1197
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Feedback interactions between neuronal pointers and maps for attentional processing
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Metadata
- Authors
- Luck, S. J., Chelazzi, L., Hillyard, S. A., & Desimone, R.
- Affiliations
- University of Iowa (US)
- University of Verona (IT)
- University of California San Diego (US)
- National Institutes of Health (US)
- Venue
- Journal of Neurophysiology
- Publisher
- American Physiological Society
- Published
- 1997-01-01
- Volume
- 77
- Issue
- 1
- Pages
- 24-42
- ISSN
- 0022-3077 (ISSN-L)
- 1522-1598
- OpenAlex
- W2131744263
- Cited by
- 1,615
- References
- 39
- Citations by year
- 2026: 14 · 2025: 41 · 2024: 23 · 2023: 27 · 2022: 45 · 2021: 42 · 2020: 51 · 2019: 49 · 2018: 50 · 2017: 54 · 2016: 46 · 2015: 60 · 2014: 68 · 2013: 65 · 2012: 59
- FWCI
- 28.70
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Neurophysiology (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institute of Mental Health (MH-25594)
- National Institute of Neurological Disorders and Stroke (NS17778)
- 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
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Multisensory perception and integration
- Keywords
- spatial selective attention, visual cortex, area V1, V2, area V4, spontaneous firing rate, macaque, extrastriate cortex
- MeSH terms
- Animals, Attention, Cues, Electrodes, Implanted, Evoked Potentials, Visual, Eye Movements, Macaca mulatta, Male, Neurons, Photic Stimulation, Psychomotor Performance, Space Perception, Visual Cortex
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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