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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
Citations
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
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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Foxe, J. J., & Snyder, A. C. (2011) · Frontiers in Psychology · doi:10.3389/fpsyg.2011.00154 · Cited by 1,558
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Sanchez-Vives, M. V., & McCormick, D. A. (2000) · Nature Neuroscience · doi:10.1038/79848 · Cited by 1,539
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Egner, T., & Hirsch, J. (2005) · Nature Neuroscience · doi:10.1038/nn1594 · Cited by 1,144
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Reynolds, J. H., Pasternak, T., & Desimone, R. (2000) · Neuron · doi:10.1016/s0896-6273(00)81206-4 · Cited by 1,034
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Christophel, T. B., Klink, P. C., Spitzer, B., Roelfsema, P. R., & Haynes, J.-D. (2017) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2016.12.007 · Cited by 882
Corbetta, M. (1998) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.95.3.831 · Cited by 995
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Levi, D. M. (2008) · Vision Research · doi:10.1016/j.visres.2007.12.009 · Cited by 1,012
Hillyard, S. A., Vogel, E. K., & Luck, S. J. (1998) · Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences · doi:10.1098/rstb.1998.0281 · Cited by 1,201
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“…decreases noise correlations (Cohen and Maunsell, 2009; Mitchell et al., 2009), 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), and enhances gamma-synchronization (Fries et…”
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Lillicrap, T. P., Santoro, A., Marris, L., Akerman, C. J., & Hinton, G. (2020) · Nature Reviews Neuroscience · doi:10.1038/s41583-020-0277-3 · Cited by 908
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Yeshurun, Y., & Carrasco, M. (1998) · Nature · doi:10.1038/23936 · Cited by 779
Vogel, E. K., Luck, S. J., & Shapiro, K. L. (1998) · Journal of Experimental Psychology Human Perception & Performance · doi:10.1037//0096-1523.24.6.1656 · Cited by 788
Consciousness and neuroscience
Crick, F. (1998) · Cerebral Cortex · doi:10.1093/cercor/8.2.97 · Cited by 783
Merging information in speech recognition: Feedback is never necessary
Norris, D. G., McQueen, J. M., & Cutler, A. (2000) · Behavioral and Brain Sciences · doi:10.1017/s0140525x00003241 · Cited by 771
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Carbon nanotube coating improves neuronal recordings
Keefer, E. W., Botterman, B. R., Romero, M. I., Rossi, A. F., & Gross, G. W. (2008) · Nature Nanotechnology · doi:10.1038/nnano.2008.174 · Cited by 721
Responses of Neurons in Inferior Temporal Cortex During Memory-Guided Visual Search
Chelazzi, L., Duncan, J., Miller, E. K., & Desimone, R. (1998) · Journal of Neurophysiology · doi:10.1152/jn.1998.80.6.2918 · Cited by 726
Self-citationKelly, S. P., Lalor, E. C., Reilly, R. B., & Foxe, J. J. (2006) · Journal of Neurophysiology · doi:10.1152/jn.01234.2005 · Cited by 715
The Retinotopy of Visual Spatial Attention
Tootell, R. B. H., Hadjikhani, N. K., Hall, E., Marrett, S., Vanduffel, W., Vaughan, J. T., & Dale, A. M. (1998) · Neuron · doi:10.1016/s0896-6273(00)80659-5 · Cited by 735
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Desimone, R. (1998) · Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences · doi:10.1098/rstb.1998.0280 · Cited by 696
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Corbetta, M., Kincade, J. M., & Shulman, G. L. (2002) · Journal of Cognitive Neuroscience · doi:10.1162/089892902317362029 · Cited by 698
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Romei, V., Brodbeck, V., Michel, C. M., Amedi, A., Pascual‐Leone, Á., & Thut, G. (2007) · Cerebral Cortex · doi:10.1093/cercor/bhm229 · Cited by 717
Haberly, L. B. (2001) · Chemical Senses · doi:10.1093/chemse/26.5.551 · Cited by 702
Differential attention-dependent response modulation across cell classes in macaque visual area V4
Mitchell, J. F., Sundberg, K. A., & Reynolds, J. H. (2007) · Neuron · doi:10.1016/j.neuron.2007.06.018 · Cited by 665
Functional MRI reveals spatially specific attentional modulation in human primary visual cortex
Somers, D. C., Dale, A. M., Seiffert, A. E., & Tootell, R. B. H. (1999) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.96.4.1663 · Cited by 670
Parallel and Serial Neural Mechanisms for Visual Search in Macaque Area V4
Bichot, N. P., Rossi, A. F., & Desimone, R. (2005) · Science · doi:10.1126/science.1109676 · Cited by 672
Control of eye movements and spatial attention
Moore, T., & Fallah, M. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.98.3.1273 · Cited by 659
Visual attention: Insights from brain imaging
Kanwisher, N., & Wojciulik, E. (2000) · Nature reviews. Neuroscience · doi:10.1038/35039043 · Cited by 641
Feedforward, horizontal, and feedback processing in the visual cortex
Lamme, V. A. F., Supèr, H., & Spekreijse, H. (1998) · Current Opinion in Neurobiology · doi:10.1016/s0959-4388(98)80042-1 · Cited by 624
Shadlen, M. N., & Movshon, J. A. (1999) · Neuron · doi:10.1016/s0896-6273(00)80822-3 · Cited by 606
Electrophysiological Indices of Target and Distractor Processing in Visual Search
Hickey, C., Di Lollo, V., & McDonald, J. J. (2009) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2009.21039 · Cited by 607
Rihs, T. A., Michel, C. M., & Thut, G. (2007) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.2007.05278.x · Cited by 586
A Neural Theory of Visual Attention: Bridging Cognition and Neurophysiology.
Bundesen, C., Habekost, T., & Kyllingsbæk, S. (2005) · Psychological Review · doi:10.1037/0033-295x.112.2.291 · Cited by 614
Selective representation of relevant information by neurons in the primate prefrontal cortex
Rainer, G., Asaad, W. F., & Miller, E. K. (1998) · Nature · doi:10.1038/31235 · Cited by 589
Groß, J., Schmitz, F., Schnitzler, I., Kessler, K., Shapiro, K. L., Hommel, B., & Schnitzler, A. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0404944101 · Cited by 605
Bressler, S. L., Tang, W., Sylvester, C. M., Shulman, G. L., & Corbetta, M. (2008) · Journal of Neuroscience · doi:10.1523/jneurosci.1776-08.2008 · Cited by 585
Grossberg, S. (2013) · Neural Networks · doi:10.1016/j.neunet.2012.09.017 · Cited by 410
The physiological basis of attentional modulation in extrastriate visual areas
Chawla, D., Rees, G. E., & Friston, K. J. (1999) · Nature Neuroscience · doi:10.1038/10230 · Cited by 535
Partitioning neuronal variability
Goris, R. L. T., Movshon, J. A., & Simoncelli, E. P. (2014) · Nature Neuroscience · doi:10.1038/nn.3711 · Cited by 528
Attentional control of the processing of neutral and emotional stimuli
Pessoa, L., Kästner, S., & Ungerleider, L. G. (2002) · Cognitive Brain Research · doi:10.1016/s0926-6410(02)00214-8 · Cited by 538
Source Analysis of Event-related Cortical Activity during Visuo-spatial Attention
Russo, F. D. (2003) · Cerebral Cortex · doi:10.1093/cercor/13.5.486 · Cited by 541
Competitive brain activity in visual attention
Duncan, J., Humphreys, G., & Ward, R. (1997) · Current Opinion in Neurobiology · doi:10.1016/s0959-4388(97)80014-1 · Cited by 515
Neural Activity in the Primate Prefrontal Cortex during Associative Learning
Asaad, W. F., Rainer, G., & Miller, E. K. (1998) · Neuron · doi:10.1016/s0896-6273(00)80658-3 · Cited by 593
Bottom-Up and Top-Down Attention
Katsuki, F., & Constantinidis, C. (2013) · The Neuroscientist · doi:10.1177/1073858413514136 · Cited by 594
von der Malsburg, C. (1999) · Neuron · doi:10.1016/s0896-6273(00)80825-9 · Cited by 501
Activity in primary visual cortex predicts performance in a visual detection task
Ress, D. B., Backus, B. T., & Heeger, D. J. (2000) · Nature Neuroscience · doi:10.1038/78856 · Cited by 516
NEURAL SELECTION AND CONTROL OF VISUALLY GUIDED EYE MOVEMENTS
Schall, J. D., & Thompson, K. G. (1999) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.22.1.241 · Cited by 489
Lane, R. D., Chua, P. M.-L., & Dolan, R. J. (1999) · Neuropsychologia · doi:10.1016/s0028-3932(99)00017-2 · Cited by 479
Attention reverses the effect of prediction in silencing sensory signals
Kok, P., Rahnev, D., Jehee, J. F. M., Lau, H. C., & de Lange, F. P. (2012) · Cerebral Cortex · doi:10.1093/cercor/bhr310 · Cited by 430
Neural mechanisms of selective visual attention.
Moore, T., & Zirnsak, M. (2017) · Annual Review of Psychology · doi:10.1146/annurev-psych-122414-033400 · Cited by 471
Acetylcholine contributes through muscarinic receptors to attentional modulation in V1
Herrero, J. L., Roberts, M. J., Delicato, L. S., Gieselmann, M. A., Dayan, P., & Thiele, A. (2008) · Nature · doi:10.1038/nature07141 · Cited by 459
Does anticipation of pain affect cortical nociceptive systems?
Porro, C. A., Baraldi, P., Pagnoni, G., Serafini, M., Facchin, P., Maieron, M., & Nichelli, P. (2002) · The Journal of Neuroscience · doi:10.1523/jneurosci.22-08-03206.2002 · Cited by 469
The Oxford Handbook of Perceptual Organization
Lier, R. J. V., Gerbino, W., & Wagemans, J. (2015) · Oxford University Press eBooks · doi:10.1093/oxfordhb/9780199686858.001.0001 · Cited by 469
Luck, S. J., Girelli, M., McDermott, M. T., & Ford, M. A. (1997) · Cognitive Psychology · doi:10.1006/cogp.1997.0660 · Cited by 481
Top-down Enhancement and Suppression of the Magnitude and Speed of Neural Activity
Gazzaley, A. H., Cooney, J. W., McEvoy, K., Knight, R. T., & D’Esposito, M. (2005) · Journal of Cognitive Neuroscience · doi:10.1162/0898929053279522 · Cited by 483
Attention activates winner-take-all competition among visual filters
Lee, D. K., Itti, L., Koch, C., & Braun, J. (1999) · Nature Neuroscience · doi:10.1038/7286 · Cited by 465
The neural basis of biased competition in human visual cortex
Kästner, S., & Ungerleider, L. G. (2001) · Neuropsychologia · doi:10.1016/s0028-3932(01)00116-6 · Cited by 470
Neuroimaging Studies of Attention: From Modulation of Sensory Processing to Top-Down Control
Pessoa, L., Kästner, S., & Ungerleider, L. G. (2003) · Journal of Neuroscience · doi:10.1523/jneurosci.23-10-03990.2003 · Cited by 463
Top-down and bottom-up mechanisms in biasing competition in the human brain
Beck, D. M., & Kastner, S. (2009) · Vision Research · doi:10.1016/j.visres.2008.07.012 · Cited by 444
Rapid Neocortical Dynamics: Cellular and Network Mechanisms
Haider, B., & McCormick, D. A. (2009) · Neuron · doi:10.1016/j.neuron.2009.04.008 · Cited by 441
Mechanisms of top-down attention
Baluch, F., & Itti, L. (2011) · Trends in Neurosciences · doi:10.1016/j.tins.2011.02.003 · Cited by 437
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
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- 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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