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Effects of Attention on the Reliability of Individual Neurons in Monkey Visual Cortex
Open accessAbstract
To determine the physiological mechanisms underlying the enhancement of performance by attention, we examined how attention affects the ability of isolated neurons to discriminate orientation by investigating the reliability of responses with and without attention. Recording from 262 neurons in cortical area V4 while two rhesus macaques did a delayed match-to-sample task with oriented stimuli, we found that attention did not produce detectable changes in the variability of neuronal responses but did improve the orientation discriminability of the neurons. We also found that attention did not change the relationship between burst rate and response rate. Our results are consistent with the idea that attention selects groups of neurons for a multiplicative enhancement in response strength.
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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 [14]
In the citing paper
“Neurons in many cortical and subcortical brain areas exhibit robust gain modulation that may contribute to multiple cognitive functions, including attention, learning, sensory processing and multimodal integration1–3,7,8,13–17.”
From Mechanisms underlying gain modulation in the cortex (2020) · cites this paper as [14]
Citations
Cites
Baltosser, W. H., & Zar, J. H. (1996) · Ecology · doi:10.2307/2265725 · Cited by 35,166
(1966) · Medical Entomology and Zoology · Cited by 10,293
Signal detection theory and psychophysics
Ingleby, D. (1967) · Journal of Sound and Vibration · doi:10.1016/0022-460x(67)90197-6 · Cited by 8,616
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
Visual 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
Shadlen, M. N., & Newsome, W. T. (1998) · The Journal of Neuroscience · doi:10.1523/jneurosci.18-10-03870.1998 · Cited by 2,178
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
Softky, W., & Koch, C. (1993) · The Journal of Neuroscience · doi:10.1523/jneurosci.13-01-00334.1993 · Cited by 1,689
Noise, neural codes and cortical organization
Shadlen, M. N., & Newsome, W. T. (1994) · Current Opinion in Neurobiology · doi:10.1016/0959-4388(94)90059-0 · Cited by 1,255
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DiCarlo, J. J., Zoccolan, D., & Rust, N. C. (2012) · Neuron · doi:10.1016/j.neuron.2012.01.010 · Cited by 1,790
Neurophysiological and Computational Principles of Cortical Rhythms in Cognition
Wang, X.-J. (2010) · Physiological Reviews · doi:10.1152/physrev.00035.2008 · Cited by 1,939
Neural correlations, population coding and computation
Averbeck, B. B., Latham, P. E., & Pouget, A. (2006) · Nature reviews. Neuroscience · doi:10.1038/nrn1888 · Cited by 1,743
Thut, G., Nietzel, A., Brandt, S., & Pascual-Leone, Á. (2006) · Journal of Neuroscience · doi:10.1523/jneurosci.0875-06.2006 · Cited by 1,662
A taxonomy of external and internal attention.
Chun, M. M., Golomb, J. D., & Turk-Browne, N. B. (2011) · Annual Review of Psychology · doi:10.1146/annurev.psych.093008.100427 · Cited by 1,472
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-citationStimulus onset quenches neural variability: A widespread cortical phenomenon
Churchland, M. M., Yu, B. M., Cunningham, J. P., Sugrue, L. P., Cohen, M. R., Corrado, G. S., Newsome, W. T., Clark, A. M., Hosseini, P., Scott, B. B., et al. (2010) · Nature Neuroscience · doi:10.1038/nn.2501 · Cited by 1,084
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Chance, F. S., Abbott, L. F., & Reyes, A. D. (2002) · Neuron · doi:10.1016/s0896-6273(02)00820-6 · Cited by 1,012
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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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Vinck, M., Batista-Brito, R., Knoblich, U., & Cardin, J. A. (2015) · Neuron · doi:10.1016/j.neuron.2015.03.028 · Cited by 819
Attentional modulation of visual processing
Reynolds, J. H., & Chelazzi, L. (2004) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.26.041002.131039 · Cited by 1,158
Untangling invariant object recognition
DiCarlo, J. J., & Cox, D. (2007) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2007.06.010 · Cited by 1,000
Feature-based attention in visual cortex
Maunsell, J. H. R., & Treue, S. (2006) · Trends in Neurosciences · doi:10.1016/j.tins.2006.04.001 · Cited by 960
Self-citationWaking state: rapid variations modulate neural and behavioral responses
McGinley, M. J., Vinck, M., Reimer, J., Batista-Brito, R., Zagha, E., Cadwell, C. R., Tolias, A. S., Cardin, J. A., & McCormick, D. A. (2015) · Neuron · doi:10.1016/j.neuron.2015.09.012 · Cited by 801
“Particularly interesting are multiplicative amplitude modulations of the response tuning function since they preserve feature selectivity (Desimone and Duncan, 1995; McAdams and Maunsell, 1999a, b; Reynolds and Heeger, 2009).”
Spatial attention decorrelates intrinsic activity fluctuations in macaque area V4
Mitchell, J. F., Sundberg, K. A., & Reynolds, J. H. (2009) · Neuron · doi:10.1016/j.neuron.2009.09.013 · Cited by 710
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
Visual attention: Insights from brain imaging
Kanwisher, N., & Wojciulik, E. (2000) · Nature reviews. Neuroscience · doi:10.1038/35039043 · Cited by 641
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
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
Dopamine and Cognitive Control in Prefrontal Cortex
Ott, T., & Nieder, A. (2019) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2018.12.006 · Cited by 530
Variability in encoding precision accounts for visual short-term memory limitations
van den Berg, R., Shin, H., Chou, W.-C., George, R. G., & Ma, W. J. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1117465109 · Cited by 532
Guarding the gateway to cortex with attention in visual thalamus
McAlonan, K., Cavanaugh, J., & Wurtz, R. H. (2008) · Nature · doi:10.1038/nature07382 · Cited by 510
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 mechanisms of selective visual attention.
Moore, T., & Zirnsak, M. (2017) · Annual Review of Psychology · doi:10.1146/annurev-psych-122414-033400 · Cited by 471
Nonlinear dynamic causal models for fMRI
Stephan, K. E., Kasper, L., Harrison, L. M., Daunizeau, J., den Ouden, H. E. M., Breakspear, M., & Friston, K. J. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.04.262 · Cited by 416
Neural correlates of attention in primate visual cortex
Treue, S. (2001) · Trends in Neurosciences · doi:10.1016/s0166-2236(00)01814-2 · Cited by 433
Low Response Variability in Simultaneously Recorded Retinal, Thalamic, and Cortical Neurons
Kara, P., Reinagel, P., & Reid, R. C. (2000) · Neuron · doi:10.1016/s0896-6273(00)00072-6 · Cited by 404
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Larkum, M. E. (2004) · Cerebral Cortex · doi:10.1093/cercor/bhh065 · Cited by 366
Effects of Spatial Attention on Contrast Response Functions in Macaque Area V4
Williford, T., & Maunsell, J. H. R. (2006) · Journal of Neurophysiology · doi:10.1152/jn.01207.2005 · Cited by 353
Self-citationVariance as a signature of neural computations during decision making
Churchland, A. K., Kiani, R., Chaudhuri, R., Wang, X.-J., Pouget, A., & Shadlen, M. N. (2011) · Neuron · doi:10.1016/j.neuron.2010.12.037 · Cited by 350
“…near independence from conditions affecting the mean firing rate, such as motion strength, contrast, and attentional state (Britten et al., 1993; Geisler et al., 2001; McAdams and Maunsell, 1999; Tolhurst et al., 1983), imply that f is unlikely to vary systematically as a function of firing rate.”
BackgroundVerghese, P. (2001) · Neuron · doi:10.1016/s0896-6273(01)00392-0 · Cited by 369
Neuronal Mechanisms of Visual Attention
Maunsell, J. H. R. (2015) · Annual Review of Vision Science · doi:10.1146/annurev-vision-082114-035431 · Cited by 346
Self-citationHuman Cerebral Activation during Steady-State Visual-Evoked Responses
Pastor, M. A., Artieda, J., Arbizu, J., Valencia, M., & Masdeu, J. C. (2003) · Journal of Neuroscience · doi:10.1523/jneurosci.23-37-11621.2003 · Cited by 323
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Ferguson, K. A., & Cardin, J. A. (2020) · Nature Reviews Neuroscience · doi:10.1038/s41583-019-0253-y · Cited by 327
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Sharp emergence of feature-selective sustained activity along the dorsal visual pathway
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The neural basis of visual attention
Bisley, J. W. (2011) · Journal of Physiology · doi:10.1113/jphysiol.2010.192666 · Cited by 232
The role of attention in visual processing.
Maunsell, J., & Cook, E. (2002) · Philosophical transactions of the Royal Society of London. Series B, Biological sciences · doi:10.1098/rstb.2002.1107 · Cited by 227
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Precision of Spike Trains in Primate Retinal Ganglion Cells
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Paneri, S., & Gregoriou, G. G. (2017) · Frontiers in Neuroscience · doi:10.3389/fnins.2017.00545 · Cited by 211
Armstrong, K. M., & Moore, T. (2007) · Proceedings of the National Academy of Sciences of the United States of America · doi:10.1073/pnas.0701104104 · Cited by 186
Remapping in Human Visual Cortex
Merriam, E. P., Genovese, C. R., & Colby, C. L. (2006) · Journal of Neurophysiology · doi:10.1152/jn.00189.2006 · Cited by 195
Attentional Enhancement via Selection and Pooling of Early Sensory Responses in Human Visual Cortex
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Lestienne, R. (2001) · Progress in Neurobiology · doi:10.1016/s0301-0082(01)00019-3 · Cited by 163
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Pupil size reflects the focus of feature-based attention
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Anderson, J. C., Kennedy, H., & Martin, K. A. C. (2011) · Journal of Neuroscience · doi:10.1523/jneurosci.0622-11.2011 · Cited by 117
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Effects of temporal context and temporal expectancy on neural activity in inferior temporal cortex
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Object-based vision and attention in primates
Olson, C. R. (2001) · Current Opinion in Neurobiology · doi:10.1016/s0959-4388(00)00193-8 · Cited by 71
Different attentional resources modulate the gain mechanisms for color and luminance contrast
Morrone, M. C., Denti, V., & Spinelli, D. (2003) · Vision Research · doi:10.1016/j.visres.2003.10.014 · Cited by 73
Ardid, S., Wang, X., Gómez-Cabrero, D., & Compte, A. (2010) · Journal of Neuroscience · doi:10.1523/jneurosci.4222-09.2010 · Cited by 70
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Chen, C., Kiebel, S. J., Kilner, J. M., Ward, N., Stephan, K. E., Wang, W. J., & Friston, K. J. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.07.066 · Cited by 66
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Probabilistic Computation in Human Perception under Variability in Encoding Precision
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Wyart, V., Dehaene, S., & Tallon-Baudry, C. (2012) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2012.00016 · Cited by 61
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Self-citation
Metadata
- Authors
- McAdams, C. J., & Maunsell, J. H. R.
- Affiliations
- Baylor College of Medicine (US)
- Howard Hughes Medical Institute (US)
- Corresponding author
- Maunsell, John H.R.
- Venue
- Neuron
- Publisher
- Elsevier BV
- Published
- 1999-08
- Volume
- 23
- Issue
- 4
- Pages
- 765-773
- ISSN
- 0896-6273 (ISSN-L)
- OpenAlex
- W2139326454
- Cited by
- 286
- References
- 53
- Citations by year
- 2026: 5 · 2025: 9 · 2024: 1 · 2023: 8 · 2022: 6 · 2021: 7 · 2020: 4 · 2019: 10 · 2018: 13 · 2017: 11 · 2016: 11 · 2015: 16 · 2014: 8 · 2013: 19 · 2012: 14
- FWCI
- 6.32
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Neuron (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Eye Institute (R01 EY-05911, T32 EY07001, T32EY007001, R01EY005911)
- National Institute of General Medical Sciences (T32GM007330, T32GM-07330)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Visual Attention and Saliency Detection
- Keywords
- visual attention, orientation discrimination, area V4, rhesus monkeys, neuronal response variability, burst firing, response rate, delayed matching-to-sample
- MeSH terms
- Animals, Attention, Discrimination, Psychological, Electrophysiology, Macaca mulatta, Microelectrodes, Neurons, Orientation, Psychomotor Performance, Time Factors, Visual Cortex, Visual Fields
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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