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Effects of Spatial Attention on Contrast Response Functions in Macaque Area V4
Abstract
Previous single-unit studies of visual cortex have reported that spatial attention modulates responses to different orientations and directions proportionally, such that it does not change the width of tuning functions for these properties. Other studies have suggested that spatial attention causes a leftward shift in contrast response functions, such that its effects on responses to stimuli of different contrasts are not proportional. We have further explored the effects of attention on stimulus-response functions by measuring the responses of 131 individual V4 neurons in two monkeys while they did a task that controlled their spatial attention. Each neuron was tested with a set of stimuli that spanned complete ranges of orientation and contrast during different states of attention. Consistent with earlier reports, attention scaled responses to preferred and nonpreferred orientations proportionally. However, we did not find compelling evidence that the effects were best described by a leftward shift of the contrast response function. The modulation of neuronal responses by attention was well described by either a leftward shift or proportional scaling of the contrast response function. Consideration of differences in experimental design and analysis that may have contributed to this discrepancy suggests that it was premature to exclude a proportional scaling of responses to different contrasts by attention in favor of a leftward shift of contrast response functions. The current results reopen the possibility that the effects of attention on stimulus-response functions are well described by a single proportional increase in a neuron's response to all stimuli.
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“Attentional modulation of neural gain has been particularly well studied in the non-human primate visual system1,42,43, in which visual spatial attention within the receptive field of a recorded neuron enhances both contrast gain (that is, scaling of that neuron’s stimulus-response relationship along the contrast axis)43 and response gain (that is, multiplicative transformation of responses to all”
From Mechanisms underlying gain modulation in the cortex (2020) · cites this paper as [48]
Citations
Cites
A Statistical Distribution Function of Wide Applicability
Weibull, W. (1951) · Journal of Applied Mechanics · doi:10.1115/1.4010337 · Cited by 11,646
(1966) · Medical Entomology and Zoology · Cited by 10,293
Selective Attention Gates Visual Processing in the Extrastriate Cortex
Moran, J., & Desimone, R. (1985) · Science · doi:10.1126/science.4023713 · Cited by 2,433
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
Neural mechanisms of spatial selective attention in areas V1, V2, and V4 of macaque visual cortex
Luck, S. J., Chelazzi, L., Hillyard, S. A., & Desimone, R. (1997) · Journal of Neurophysiology · doi:10.1152/jn.1997.77.1.24 · Cited by 1,615
Feature-based attention influences motion processing gain in macaque visual cortex
Treue, S., & Trujillo, J. C. M. (1999) · Nature · doi:10.1038/21176 · Cited by 1,465
Inferotemporal cortex and object vision
Tanaka, K. (1996) · Annual Review of Neuroscience · doi:10.1146/annurev.ne.19.030196.000545 · Cited by 1,402
Competitive Mechanisms Subserve Attention in Macaque Areas V2 and V4
Reynolds, J. H., Chelazzi, L., & Desimone, R. (1999) · The Journal of Neuroscience · doi:10.1523/jneurosci.19-05-01736.1999 · Cited by 1,236
Effects of Attention on Orientation-Tuning Functions of Single Neurons in Macaque Cortical Area V4
McAdams, C. J., & Maunsell, J. H. R. (1999) · Journal of Neuroscience · doi:10.1523/jneurosci.19-01-00431.1999 · Cited by 1,218
Self-citationCarrasco, M., Ling, S., & Read, S. (2004) · Nature Neuroscience · doi:10.1038/nn1194 · Cited by 1,126
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Visual attention: The past 25 years
Carrasco, M. (2011) · Vision Research · doi:10.1016/j.visres.2011.04.012 · Cited by 2,660
How Inhibition Shapes Cortical Activity
Isaacson, J. S., & Scanziani, M. (2011) · Neuron · doi:10.1016/j.neuron.2011.09.027 · Cited by 1,678
The Normalization Model of Attention
Reynolds, J. H., & Heeger, D. J. (2009) · Neuron · doi:10.1016/j.neuron.2009.01.002 · Cited by 1,457
Top-down influences on visual processing
Gilbert, C. D., & Li, W. (2013) · Nature Reviews Neuroscience · doi:10.1038/nrn3476 · Cited by 1,224
Attention improves performance primarily by reducing interneuronal correlations
Cohen, M. R., & Maunsell, J. H. R. (2009) · Nature Neuroscience · doi:10.1038/nn.2439 · Cited by 1,163
Self-citationCortical interneurons that specialize in disinhibitory control
Pi, H.-J., Hangya, B., Kvitsiani, D., Sanders, J. I., Huang, Z. J., & Kepecs, A. (2013) · Nature · doi:10.1038/nature12676 · Cited by 1,136
Fundamental Components of Attention
Knudsen, E. I. (2007) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.30.051606.094256 · Cited by 1,091
Expectation (and attention) in visual cognition
Summerfield, C., & Egner, T. (2009) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2009.06.003 · Cited by 950
Brain states: top-down influences in sensory processing.
Gilbert, C., & Sigman, M. (2007) · Neuron · doi:10.1016/j.neuron.2007.05.019 · Cited by 1,008
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
Fast modulation of visual perception by basal forebrain cholinergic neurons
Pinto, L., Goard, M. J., Estandian, D., Xu, M., Kwan, A. C., Lee, S.-H., Harrison, T. C., Feng, G., & Dan, Y. (2013) · Nature Neuroscience · doi:10.1038/nn.3552 · Cited by 529
Divisive Normalization in Olfactory Population Codes
Olsen, S. R., Bhandawat, V., & Wilson, R. I. (2010) · Neuron · doi:10.1016/j.neuron.2010.04.009 · Cited by 500
Neural Circuitry of Reward Prediction Error
Watabe-Uchida, M., Eshel, N., & Uchida, N. (2017) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-072116-031109 · Cited by 437
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
Cortical Enlightenment: Are Attentional Gamma Oscillations Driven by ING or PING?
Tiesinga, P. H. E., & B, T. J. S. A. (2009) · Neuron · doi:10.1016/j.neuron.2009.09.009 · Cited by 438
Feature-Based Attentional Modulations in the Absence of Direct Visual Stimulation
Serences, J. T., & Boynton, G. M. (2007) · Neuron · doi:10.1016/j.neuron.2007.06.015 · Cited by 413
Expectation and Surprise Determine Neural Population Responses in the Ventral Visual Stream
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From Behavior to Neural Dynamics: An Integrated Theory of Attention
Buschman, T. J., & Kästner, S. (2015) · Neuron · doi:10.1016/j.neuron.2015.09.017 · Cited by 399
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When size matters: attention affects performance by contrast or response gain
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Disney, A. A., Aoki, C., & Hawken, M. J. (2007) · Neuron · doi:10.1016/j.neuron.2007.09.034 · Cited by 331
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Statistical learning of visual transitions in monkey inferotemporal cortex
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Mechanisms underlying gain modulation in the cortex
Ferguson, K. A., & Cardin, J. A. (2020) · Nature Reviews Neuroscience · doi:10.1038/s41583-019-0253-y · Cited by 327
Lovejoy, L. P., & Krauzlis, R. J. (2009) · Nature Neuroscience · doi:10.1038/nn.2470 · Cited by 312
Attentional enhancement of spatial resolution: linking behavioural and neurophysiological evidence
Anton-Erxleben, K., & Carrasco, M. (2013) · Nature reviews. Neuroscience · doi:10.1038/nrn3443 · Cited by 302
The Slow Oscillation in Cortical and Thalamic Networks: Mechanisms and Functions
Neske, G. T. (2016) · Frontiers in Neural Circuits · doi:10.3389/fncir.2015.00088 · Cited by 296
Attention induces synchronization-based response gain in steady-state visual evoked potentials
Kim, Y. J., Grabowecky, M., Paller, K. A., Muthu, K., & Suzuki, S. (2006) · Nature Neuroscience · doi:10.1038/nn1821 · Cited by 261
A Normalization Model of Attentional Modulation of Single Unit Responses
Lee, J., & Maunsell, J. H. R. (2009) · PLoS ONE · doi:10.1371/journal.pone.0004651 · Cited by 257
Self-citationPredictive coding as a model of biased competition in visual attention
Spratling, M. (2008) · Vision Research · doi:10.1016/j.visres.2008.03.009 · Cited by 251
The Nature of Shared Cortical Variability
Lin, I.-C., Okun, M., Carandini, M., & Harris, K. D. (2015) · Neuron · doi:10.1016/j.neuron.2015.06.035 · Cited by 232
Distributed and Mixed Information in Monosynaptic Inputs to Dopamine Neurons
Tian, J., Huang, R., Cohen, J. Y., Osakada, F., Kobak, D., Machens, C. K., Callaway, E. M., Uchida, N., & Watabe-Uchida, M. (2016) · Neuron · doi:10.1016/j.neuron.2016.08.018 · Cited by 224
The neural basis of visual attention
Bisley, J. W. (2011) · Journal of Physiology · doi:10.1113/jphysiol.2010.192666 · Cited by 232
Attention stabilizes the shared gain of V4 populations
Rabinowitz, N. C., Goris, R. L., Cohen, M., & Simoncelli, E. P. (2015) · eLife · doi:10.7554/elife.08998 · Cited by 194
The Effect of Spatial Attention on Contrast Response Functions in Human Visual Cortex: Figure 1.
Buračas, G. T., & Boynton, G. M. (2007) · Journal of Neuroscience · doi:10.1523/jneurosci.3162-06.2007 · Cited by 189
Attentional Enhancement via Selection and Pooling of Early Sensory Responses in Human Visual Cortex
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How spatial and feature-based attention affect the gain and tuning of population responses
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The significance of microsaccades for vision and oculomotor control
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Womelsdorf, T., Anton-Erxleben, K., & Treue, S. (2008) · Journal of Neuroscience · doi:10.1523/jneurosci.4030-07.2008 · Cited by 172
Spatial Attention Modulates Center-Surround Interactions in Macaque Visual Area V4
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Perceptual Learning Improves Contrast Sensitivity of V1 Neurons in Cats
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Knowledge as Process: Contextually Cued Attention and Early Word Learning
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Level Invariant Representation of Sounds by Populations of Neurons in Primary Auditory Cortex
Sadagopan, S., & Wang, X. (2008) · Journal of Neuroscience · doi:10.1523/jneurosci.2743-07.2008 · Cited by 142
Enhancement of visual responsiveness by spontaneous local network activity in vivo
Haider, B., Duque, A., Hasenstaub, A. R., Yu, Y., & McCormick, D. A. (2007) · Journal of Neurophysiology · doi:10.1152/jn.01114.2006 · Cited by 130
Attention alters spatial integration in macaque V1 in an eccentricity-dependent manner
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Attention Reshapes Center-Surround Receptive Field Structure in Macaque Cortical Area MT
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Early recurrent feedback facilitates visual object recognition under challenging conditions
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How visual spatial attention alters perception
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Li, X., Lu, Z., Tjan, B. S., Dosher, B. A., & Chu, W. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0801390105 · Cited by 128
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Wyatte, D., Curran, T., & O’Reilly, R. C. (2012) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00282 · Cited by 127
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Additive Effects of Attention and Stimulus Contrast in Primary Visual Cortex
Thiele, A., Pooresmaeili, A., Delicato, L. S., Herrero, J. L., & Roelfsema, P. R. (2009) · Cerebral Cortex · doi:10.1093/cercor/bhp070 · Cited by 88
Ekstrom, L. B., Roelfsema, P. R., Arsenault, J. T., Kolster, H., & Vanduffel, W. (2009) · The Journal of Neuroscience · doi:10.1523/jneurosci.0673-09.2009 · Cited by 83
Attention – oscillations and neuropharmacology
Deco, G., & Thiele, A. (2009) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.2009.06833.x · Cited by 85
Zhaoping, L. (2014) · doi:10.1093/acprof:oso/9780199564668.001.0001 · Cited by 160
Lateralization in Alpha-Band Oscillations Predicts the Locus and Spatial Distribution of Attention
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Long-range neural coupling through synchronization with attention
Gregoriou, G. G., Gotts, S. J., Zhou, H., & Desimone, R. (2009) · Progress in brain research · doi:10.1016/s0079-6123(09)17603-3 · Cited by 82
Attentional modulation of neuronal variability in circuit models of cortex
Kanashiro, T., Ocker, G. K., Cohen, M. R., & Doiron, B. (2017) · eLife · doi:10.7554/elife.23978 · Cited by 84
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Sylvester, C. M., Shulman, G. L., Jack, A. I., & Corbetta, M. (2009) · Journal of Neuroscience · doi:10.1523/jneurosci.1141-09.2009 · Cited by 80
Cholinergic modulation of response gain in the primary visual cortex of the macaque
Soma, S., Shimegi, S., Osaki, H., & Sato, H. (2012) · Journal of Neurophysiology · doi:10.1152/jn.00330.2011 · Cited by 75
Itthipuripat, S., Ester, E. F., Deering, S., & Serences, J. T. (2014) · Journal of Neuroscience · doi:10.1523/jneurosci.2277-14.2014 · Cited by 71
Statistical decision theory to relate neurons to behavior in the study of covert visual attention
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Mysore, S. P., & Knudsen, E. I. (2012) · Neuron · doi:10.1016/j.neuron.2011.10.037 · Cited by 71
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The role of early visual cortex in visual short-term memory and visual attention
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Geng, J. J., & DiQuattro, N. E. (2010) · Journal of Vision · doi:10.1167/10.6.5 · Cited by 71
Ferro, D., van Kempen, J., Boyd, M., Panzeri, S., & Thiele, A. (2021) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2022097118 · Cited by 75
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Carrasco, M., Fuller, S., & Ling, S. (2008) · Perception & Psychophysics · doi:10.3758/pp.70.7.1151 · Cited by 67
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Metadata
- Authors
- Williford, T., & Maunsell, J. H. R.
- Affiliations
- Howard Hughes Medical Institute (US)
- ORCID
- Maunsell, John H. R.
- Venue
- Journal of Neurophysiology
- Publisher
- American Physiological Society
- Published
- 2006-07
- Volume
- 96
- Issue
- 1
- Pages
- 40-54
- ISSN
- 0022-3077 (ISSN-L)
- 1522-1598
- OpenAlex
- W2092212529
- Cited by
- 353
- References
- 49
- Citations by year
- 2026: 5 · 2025: 12 · 2024: 17 · 2023: 14 · 2022: 10 · 2021: 22 · 2020: 9 · 2019: 16 · 2018: 11 · 2017: 15 · 2016: 18 · 2015: 16 · 2014: 28 · 2013: 22 · 2012: 18
- FWCI
- 13.77
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Neurophysiology (publishedVersion)
- PubMed (publishedVersion)
- 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 attention, contrast response function, area V4, macaque visual cortex, orientation tuning, proportional scaling, leftward shift, single-unit responses, stimulus-response function, attentional modulation
- MeSH terms
- Animals, Attention, Evoked Potentials, Visual, Macaca mulatta, Male, Neurons, Afferent, Orientation, Pattern Recognition, Visual, Psychophysiology, Space Perception, Visual Cortex, Contrast Sensitivity
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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