The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
Effects of Attention on Orientation-Tuning Functions of Single Neurons in Macaque Cortical Area V4
Open accessAbstract
We examined how attention affected the orientation tuning of 262 isolated neurons in extrastriate area V4 and 135 neurons in area V1 of two rhesus monkeys. The animals were trained to perform a delayed match-to-sample task in which oriented stimuli were presented in the receptive field of the neuron being recorded. On some trials the animals were instructed to pay attention to those stimuli, and on other trials they were instructed to pay attention to other stimuli outside the receptive field. In this way, orientation-tuning curves could be constructed from neuronal responses collected in two behavioral states: one in which those stimuli were attended by the animal and one in which those stimuli were ignored by the animal. We fit Gaussians to the neuronal responses to twelve different orientations for each behavioral state. Although attention enhanced the responses of V4 neurons (median 26% increase) and V1 neurons (median 8% increase), selectivity, as measured by the width of its orientation-tuning curve, was not systematically altered by attention. The effects of attention were consistent with a multiplicative scaling of the driven response to all orientations. We also found that attention did not cause systematic changes in the undriven activity of the neurons.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Posner, M. I. (1980) · Quarterly Journal of Experimental Psychology · doi:10.1080/00335558008248231 · Cited by 9,670 · cited 1×
“Because attention can be localized to a specific spatial location (Posner, 1980; Eriksen and St. James, 1986), attention might only modulate responses of neurons whose receptive fields overlap that location.”
BackgroundNeural 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 attention within and around the field of focal attention: A zoom lens model
Eriksen, C. W., & St. James, J. D. (1986) · Perception & Psychophysics · doi:10.3758/bf03211502 · Cited by 1,907
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
Attentional modulation of visual motion processing in cortical areas MT and MST
Treue, S., & Maunsell, J. H. R. (1996) · Nature · doi:10.1038/382539a0 · Cited by 1,025
Self-citationSummation and Division by Neurons in Primate Visual Cortex
Carandini, M., & Heeger, D. J. (1994) · Science · doi:10.1126/science.8191289 · Cited by 649 · cited 1×
“Although mechanisms that would produce multiplicative scaling have been described (Albrecht and Geisler, 1991; Carandini and Heeger, 1994), it is not known why such separability of response sensitivities may be important for cortical processing.”
BackgroundSpatial Attention Effects in Macaque Area V4
Connor, C. E., Preddie, D. C., Gallant, J. L., & Van Essen, D. C. (1997) · The Journal of Neuroscience · doi:10.1523/jneurosci.17-09-03201.1997 · Cited by 448
Orientation selectivity in the cat's striate cortex is invariant with stimulus contrast
Sclar, G., & Freeman, R. D. (1982) · Experimental Brain Research · doi:10.1007/bf00238641 · Cited by 339
Skottun, B. C., Bradley, A., Sclar, G., Ohzawa, I., & Freeman, R. D. (1987) · Journal of Neurophysiology · doi:10.1152/jn.1987.57.3.773 · Cited by 298 · cited 6×
“…typically increases the response of a neuron to all orientations proportionately, so that a tuning curve constructed from responses to high-contrast stimuli is a multiplicatively scaled version of one made using lower contrast stimuli (Dean, 1981; Sclar and Freeman, 1982; Skottun et al., 1987).”
BackgroundInfluentialResponses in area V4 depend on the spatial relationship between stimulus and attention
Connor, C. E., Gallant, J. L., Preddie, D. C., & Van Essen, D. C. (1996) · Journal of Neurophysiology · doi:10.1152/jn.1996.75.3.1306 · Cited by 278
Cited by
Modulation of Oscillatory Neuronal Synchronization by Selective Visual Attention
Fries, P., Reynolds, J. H., Rorie, A. E., & Desimone, R. (2001) · Science · doi:10.1126/science.1055465 · Cited by 2,786
Neuronal Synchrony: A Versatile Code for the Definition of Relations?
Singer, W. (1999) · Neuron · doi:10.1016/s0896-6273(00)80821-1 · Cited by 2,581
Mechanisms of visual attention in the human cortex
Ungerleider, S. K. A. L. G. (2000) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.23.1.315 · Cited by 2,159
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
The neural mechanisms of top-down attentional control
Hopfinger, J. B., Buonocore, M. H., & Mangun, G. R. (2000) · Nature Neuroscience · doi:10.1038/72999 · Cited by 1,876
Entrainment of Neuronal Oscillations as a Mechanism of Attentional Selection
Lakatos, P., Karmos, G., Mehta, A. D., Ulbert, I., & Schroeder, C. E. (2008) · Science · doi:10.1126/science.1154735 · Cited by 1,719
Logothetis, N. K., & Wandell, B. A. (2004) · Annual Review of Physiology · doi:10.1146/annurev.physiol.66.082602.092845 · Cited by 1,568
Low-frequency neuronal oscillations as instruments of sensory selection
Schroeder, C. E., & Lakatos, P. (2009) · Trends in Neurosciences · doi:10.1016/j.tins.2008.09.012 · Cited by 1,528
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
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
Correlated neuronal activity and the flow of neural information
Salinas, E., & Sejnowski, T. J. (2001) · Nature Reviews Neuroscience · doi:10.1038/35086012 · Cited by 1,333
Top-down influences on visual processing
Gilbert, C. D., & Li, W. (2013) · Nature Reviews Neuroscience · doi:10.1038/nrn3476 · Cited by 1,224
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
STRUCTURE AND FUNCTION OF VISUAL AREA MT
Born, R. T., & Bradley, D. C. (2005) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.26.041002.131052 · Cited by 1,023
Gain Modulation from Background Synaptic Input
Chance, F. S., Abbott, L. F., & Reyes, A. D. (2002) · Neuron · doi:10.1016/s0896-6273(02)00820-6 · Cited by 1,012
Waking 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).”
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
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
A physiological correlate of the 'spotlight' of visual attention
Brefczynski, J. A., & DeYoe, E. A. (1999) · Nature Neuroscience · doi:10.1038/7280 · Cited by 723
Feature-Based Attention Increases the Selectivity of Population Responses in Primate Visual Cortex
Martinez-Trujillo, J. C., & Treue, S. (2004) · Current Biology · doi:10.1016/j.cub.2004.04.028 · Cited by 697
Parvalbumin-expressing interneurons linearly transform cortical responses to visual stimuli
Atallah, B. V., Bruns, W., Carandini, M., & Scanziani, M. (2012) · Neuron · doi:10.1016/j.neuron.2011.12.013 · Cited by 612
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
Shadlen, M. N., & Movshon, J. A. (1999) · Neuron · doi:10.1016/s0896-6273(00)80822-3 · Cited by 606
The Temporal Correlation Hypothesis of Visual Feature Integration
Gray, C. M. (1999) · Neuron · doi:10.1016/s0896-6273(00)80820-x · Cited by 541
Gain control by layer six in cortical circuits of vision
Olsen, S. R., Bortone, D. S., Adesnik, H., & Scanziani, M. (2012) · Nature · doi:10.1038/nature10835 · Cited by 539
von der Malsburg, C. (1999) · Neuron · doi:10.1016/s0896-6273(00)80825-9 · Cited by 501
Learning and selective attention
Dayan, P., Kakade, S., & Montague, P. R. (2000) · Nature Neuroscience · doi:10.1038/81504 · Cited by 495
Silver, R. A. (2010) · Nature Reviews Neuroscience · doi:10.1038/nrn2864 · Cited by 481
Convergence of biological and psychological perspectives on cognitive coordination in schizophrenia
Phillips, W. A., & Silverstein, S. M. (2003) · Behavioral and Brain Sciences · doi:10.1017/s0140525x03000025 · Cited by 445
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
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
Mechanisms of top-down attention
Baluch, F., & Itti, L. (2011) · Trends in Neurosciences · doi:10.1016/j.tins.2011.02.003 · Cited by 437
The Effect of Perceptual Learning on Neuronal Responses in Monkey Visual Area V4
Yang, T., & Maunsell, J. H. R. (2004) · The Journal of Neuroscience · doi:10.1523/jneurosci.4442-03.2004 · Cited by 427
Self-citationSalinas, E., & Thier, P. (2000) · Neuron · doi:10.1016/s0896-6273(00)00004-0 · Cited by 400
Top-down control of visual attention
Noudoost, B., Chang, M. H., Steinmetz, N. A., & Moore, T. (2010) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2010.02.003 · Cited by 385
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-citationAttention during natural vision warps semantic representation across the human brain
Çukur, T., Nishimoto, S., Huth, A. G., & Gallant, J. L. (2013) · Nature Neuroscience · doi:10.1038/nn.3381 · Cited by 351
Thiele, A., & Bellgrove, M. A. (2018) · Neuron · doi:10.1016/j.neuron.2018.01.008 · Cited by 350
Bottom-Up Dependent Gating of Frontal Signals in Early Visual Cortex
Ekstrom, L. B., Roelfsema, P. R., Arsenault, J. T., Bonmassar, G., & Vanduffel, W. (2008) · Science · doi:10.1126/science.1153276 · Cited by 329
Control of visual cortical signals by prefrontal dopamine
Noudoost, B., & Moore, T. (2011) · Nature · doi:10.1038/nature09995 · Cited by 324
Attention modulates spatial priority maps in the human occipital, parietal and frontal cortices
Sprague, T. C., & Serences, J. T. (2013) · Nature Neuroscience · doi:10.1038/nn.3574 · Cited by 266
Reward value-based gain control: divisive normalization in parietal cortex
Louie, K., Grattan, L. E., & Glimcher, P. W. (2011) · Journal of Neuroscience · doi:10.1523/jneurosci.1237-11.2011 · Cited by 308
“…modulation in visual cortices instead show a binary change in modulation when spatial attention is cued either to the RF or outside the RF (Motter, 1993; McAdams and Maunsell, 1999; Bisley and Goldberg, 2003), consistent with a stepwise effect of attentional allocation on neuronal responses.”
BackgroundPhysiological Correlates of Perceptual Learning in Monkey V1 and V2
Ghose, G. M., Yang, T., & Maunsell, J. H. R. (2002) · Journal of Neurophysiology · doi:10.1152/jn.00690.2001 · Cited by 310
Self-citationBarrages of Synaptic Activity Control the Gain and Sensitivity of Cortical Neurons
Shu, Y., Hasenstaub, A., Badoual, M., Bal, T., & McCormick, D. A. (2003) · The Journal of Neuroscience · doi:10.1523/jneurosci.23-32-10388.2003 · Cited by 298
Effects of Attention on the Reliability of Individual Neurons in Monkey Visual Cortex
McAdams, C. J., & Maunsell, J. H. R. (1999) · Neuron · doi:10.1016/s0896-6273(01)80034-9 · Cited by 286
Self-citationPrefrontal contributions to visual selective attention
Squire, R. F., Noudoost, B., Schafer, R. J., & Moore, T. (2013) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-062111-150439 · Cited by 260
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-citationFigure—Ground Segregation in a Recurrent Network Architecture
Roelfsema, P. R., Lamme, V. A. F., Spekreijse, H., & Bosch, H. (2002) · Journal of Cognitive Neuroscience · doi:10.1162/08989290260045756 · Cited by 254
Hamker, F. H. (2005) · Cerebral Cortex · doi:10.1093/cercor/bhh146 · Cited by 217
Neural tuning and representational geometry
Kriegeskorte, N., & Wei, X.-X. (2021) · Nature Reviews Neuroscience · doi:10.1038/s41583-021-00502-3 · Cited by 187
Attention Modulates the Responses of Simple Cells in Monkey Primary Visual Cortex
McAdams, C. J., & Reid, R. C. (2005) · The Journal of Neuroscience · doi:10.1523/jneurosci.2904-05.2005 · Cited by 203
Self-citationLearning to See the Difference Specifically Alters the Most Informative V4 Neurons
Raiguel, S., Vogels, R., Mysore, S. G., & Orban, G. A. (2006) · Journal of Neuroscience · doi:10.1523/jneurosci.0457-06.2006 · Cited by 200
Top-down attention switches coupling between low-level and high-level areas of human visual cortex
Al-Aidroos, N., Said, C. P., & Turk-Browne, N. B. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1202095109 · Cited by 180
What electrical microstimulation has revealed about the neural basis of cognition
Cohen, M. R., & Newsome, W. T. (2004) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2004.03.016 · Cited by 165
The role of neuromodulators in selective attention
Noudoost, B., & Moore, T. (2011) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2011.10.006 · Cited by 161
The implementation of visual routines
Roelfsema, P. R., Lamme, V. A. F., & Spekreijse, H. (2000) · Vision Research · doi:10.1016/s0042-6989(00)00004-3 · Cited by 162
Exogenous attention and color perception: Performance and appearance of saturation and hue
Fuller, S., & Carrasco, M. (2006) · Vision Research · doi:10.1016/j.visres.2006.07.014 · Cited by 157
Visual Functions Generating Conscious Seeing
Lamme, V. A. F. (2020) · Frontiers in Psychology · doi:10.3389/fpsyg.2020.00083 · Cited by 136
Studying the role of human parietal cortex in visuospatial attention with concurrent TMS-fMRI
Blankenburg, F., Ruff, C. C., Bestmann, S., Bjoertomt, O., Josephs, O., Deichmann, R., & Driver, J. (2010) · Cerebral Cortex · doi:10.1093/cercor/bhq015 · Cited by 132
Thalamic pathways for active vision
Wurtz, R. H., McAlonan, K., Cavanaugh, J., & Berman, R. A. (2011) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2011.02.004 · Cited by 127
Higgs, M. H., Slee, S. J., & Spain, W. J. (2006) · The Journal of Neuroscience · doi:10.1523/jneurosci.1792-06.2006 · Cited by 124
Incremental grouping of image elements in vision
Roelfsema, P. R., & Houtkamp, R. (2011) · Attention, Perception, & Psychophysics · doi:10.3758/s13414-011-0200-0 · Cited by 112
Integration of Exogenous Input into a Dynamic Salience Map Revealed by Perturbing Attention
Balan, P. F., & Gottlieb, J. (2006) · The Journal of Neuroscience · doi:10.1523/jneurosci.1898-06.2006 · Cited by 95
Cardin, J. A., Palmer, L. A., & Contreras, D. (2008) · Neuron · doi:10.1016/j.neuron.2008.05.002 · Cited by 90
On the Structure of Neuronal Population Activity under Fluctuations in Attentional State
Ecker, A. S., Denfield, G. H., Bethge, M., & Tolias, A. S. (2016) · The Journal of Neuroscience · doi:10.1523/jneurosci.2044-15.2016 · Cited by 88
Determinants and mechanisms of attentional modulation of neural processing.
Schroeder, C. (2001) · Frontiers in bioscience · doi:10.2741/schroed · Cited by 87
State-dependent pupil dilation rapidly shifts visual feature selectivity
Franke, K., Willeke, K. F., Ponder, K., Galdamez, M., Zhou, N., Muhammad, T., Patel, S., Froudarakis, E., Reimer, J., Sinz, F. H., et al. (2022) · Nature · doi:10.1038/s41586-022-05270-3 · Cited by 85
Joshi, S., & Gold, J. I. (2022) · eLife · doi:10.7554/elife.63490 · Cited by 71
Fast Remapping of Sensory Stimuli onto Motor Actions on the Basis of Contextual Modulation
Salinas, E. (2004) · The Journal of Neuroscience · doi:10.1523/jneurosci.4569-03.2004 · Cited by 77
Bressler, D. W., & Silver, M. A. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.06.063 · Cited by 75
Cognition as a Window into Neuronal Population Space
Ruff, D. A., Ni, A. M., & Cohen, M. R. (2018) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-080317-061936 · Cited by 63
Selective suppression of horizontal propagation in rat visual cortex by norepinephrine
Kobayashi, M., Imamura, K., Sugai, T., Onoda, N., Yamamoto, M., Komai, S., & Watanabe, Y. (2000) · European Journal of Neuroscience · doi:10.1046/j.1460-9568.2000.00917.x · Cited by 63
Response-dependent dynamics of cell-specific inhibition in cortical networks in vivo
El-Boustani, S., & Sur, M. (2014) · Nature Communications · doi:10.1038/ncomms6689 · Cited by 61
Modulation of visual physiology by behavioral state in monkeys, mice, and flies
Maimon, G. (2011) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2011.05.001 · Cited by 56
Serotonin Decreases the Gain of Visual Responses in Awake Macaque V1
Seillier, L., Lorenz, C., Kawaguchi, K., Ott, T., Nieder, A., Pourriahi, P., & Nienborg, H. (2017) · The Journal of Neuroscience · doi:10.1523/jneurosci.1339-17.2017 · Cited by 57
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
Guan, D., Armstrong, W. E., & Foehring, R. C. (2015) · Journal of Neurophysiology · doi:10.1152/jn.00524.2014 · Cited by 47
Niyogi, R. K., & Wong-Lin, K. (2013) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1003099 · Cited by 47
Turner, M. H., Krieger, A., Pang, M. M., & Clandinin, T. R. (2022) · eLife · doi:10.7554/elife.82587 · Cited by 42
Disney, A. A., Alasady, H. A., & Reynolds, J. H. (2014) · Brain and Behavior · doi:10.1002/brb3.225 · Cited by 28
Muscarinic and Nicotinic Contribution to Contrast Sensitivity of Macaque Area V1 Neurons
Herrero, J. L., Gieselmann, M. A., & Thiele, A. (2017) · Frontiers in Neural Circuits · doi:10.3389/fncir.2017.00106 · Cited by 25
Neurophysiological considerations for visual implants
Meikle, S. J., & Wong, Y. T. (2022) · Brain Structure and Function · doi:10.1007/s00429-021-02417-2 · Cited by 15
Information processing bottlenecks in macaque posterior parietal cortex: an attentional blink?
Maloney, R. T., Jayakumar, J., Levichkina, E. V., Pigarev, I. N., & Vidyasagar, T. R. (2013) · Experimental Brain Research · doi:10.1007/s00221-013-3569-2 · Cited by 9
Metadata
- Authors
- McAdams, C. J., & Maunsell, J. H. R.
- Venue
- The Journal of Neuroscience
- Publisher
- Society for Neuroscience
- Published
- 1999-01-01
- Volume
- 19
- Issue
- 1
- Pages
- 431-441
- ISSN
- 0270-6474 (ISSN-L)
- 1529-2401
- OpenAlex
- W1913473716
- Cited by
- 1,212
- References
- 12
- FWCI
- 20.85
- Type
- journal article
- Language
- en
- Open access
- hybrid
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 ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
