The DOI matches its Crossref record; 31 of the 31 references it cites were found in a registry or an index.
Control of visual cortical signals by prefrontal dopamine
Open accessAbstract
The prefrontal cortex is thought to modulate sensory signals in posterior cortices during top-down attention, but little is known about the underlying neural circuitry. Experimental and clinical evidence indicate that prefrontal dopamine has an important role in cognitive functions, acting predominantly through D1 receptors. Here we show that dopamine D1 receptors mediate prefrontal control of signals in the visual cortex of macaques (Macaca mulatta). We pharmacologically altered D1-receptor-mediated activity in the frontal eye field of the prefrontal cortex and measured the effect on the responses of neurons in area V4 of the visual cortex. This manipulation was sufficient to enhance the magnitude, the orientation selectivity and the reliability of V4 visual responses to an extent comparable with the known effects of top-down attention. The enhancement of V4 signals was restricted to neurons with response fields overlapping the part of visual space affected by the D1 receptor manipulation. Altering either D1- or D2-receptor-mediated frontal eye field activity increased saccadic target selection but the D2 receptor manipulation did not enhance V4 signals. Our results identify a role for D1 receptors in mediating the control of visual cortical signals by the prefrontal cortex and suggest how processing in sensory areas could be altered in mental disorders involving prefrontal dopamine.
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.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The cited source says what the claim attributes to it.
In the citing paper
“D1 receptors in the FEF mediated prefrontal control by leading to enhanced and more selective neuronal responses in V4 in a manner that was comparable with known top-down attentional modulations.”
From Selection history: How reward modulates selectivity of visual attention. (2018) · cites this paper as Noudoost and Moore (2011)
In the citing paper
“whereas dopamine may preferentially contribute to endogenous attention [47].”
From Linking ADHD to the Neural Circuitry of Attention (2017) · cites this paper as [47]
In the citing paper
“With nonhuman primates we can, for example, interrogate how catecholaminergic circuits in the prefrontal cortex contribute to ADHD-linked behaviors (e.g. [19,47])”
From Linking ADHD to the Neural Circuitry of Attention (2017) · cites this paper as [47]
In the citing paper
“Moreover, D1 dopaminergic receptor activation in the frontal eye fields enhances the amplitude and selectivity of neural responses in cortical area V4 (REF.206).”
From Mechanisms underlying gain modulation in the cortex (2020) · cites this paper as [206]
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
An Integrative Theory of Prefrontal Cortex Function
Miller, E. K., & Cohen, J. D. (2001) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.24.1.167 · Cited by 12,803
Cellular basis of working memory
Goldman-Rakic, P. S. (1995) · Neuron · doi:10.1016/0896-6273(95)90304-6 · Cited by 2,663
Neuroscience of attention-deficit/hyperactivity disorder: the search for endophenotypes
Castellanos, F. X., & Tannock, R. (2002) · Nature Reviews Neuroscience · doi:10.1038/nrn896 · Cited by 1,827
Modulation of memory fields by dopamine Dl receptors in prefrontal cortex
Williams, G. V., & Goldman-Rakic, P. S. (1995) · Nature · doi:10.1038/376572a0 · Cited by 1,593
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
High-frequency, long-range coupling between prefrontal and visual cortex during attention
Gregoriou, G. G., Gotts, S. J., Zhou, H., & Desimone, R. (2009) · Science · doi:10.1126/science.1171402 · Cited by 1,194
Selective gating of visual signals by microstimulation of frontal cortex
Moore, T., & Armstrong, K. M. (2003) · Nature · doi:10.1038/nature01341 · Cited by 1,194
Self-citationAttentional 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
Inverted-U dopamine D1 receptor actions on prefrontal neurons engaged in working memory
Vijayraghavan, S., Wang, M., Birnbaum, S. G., Williams, G. V., & Arnsten, A. F. T. (2007) · Nature Neuroscience · doi:10.1038/nn1846 · Cited by 1,013
The Neuropsychopharmacology of Fronto-Executive Function: Monoaminergic Modulation
Robbins, T. W., & Arnsten, A. F. T. (2009) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.051508.135535 · Cited by 957
Cited by
Sorted by citations
Items 201–300 of 323
Epiphenomenal neural activity in the primate cortexPreprint
Tremblay, S., Testard, C., Inchauspé, J., & Petrides, M. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.09.12.506984 · Cited by 14
Hüer, J., Saxena, P., & Treue, S. (2024) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2304511121 · Cited by 12
Behind mouse eyes: The function and control of eye movements in mice
Giovannetti, E. A., & Rancz, E. A. (2024) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2024.105671 · Cited by 14
Altered dynamics of visual contextual interactions in Parkinson’s disease
Vanegas, M. I., Blangero, A., Galvin, J. E., Rocco, A. D., Quartarone, A., Ghilardi, M. F., & Kelly, S. P. (2019) · npj Parkinson s Disease · doi:10.1038/s41531-019-0085-5 · Cited by 12
Wagatsuma, N., Hu, B., von der Heydt, R., & Niebur, E. (2021) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1008829 · Cited by 12
A sensory memory to preserve visual representations across eye movements
Akbarian, A., Niknam, K., Clark, K., Noudoost, B., & Nategh, N. (2021) · Nature Communications · doi:10.1038/s41467-021-26756-0 · Cited by 12
Self-citationDopamine-dependent visual attention preference to social stimuli in nonhuman primates
Yamaguchi, Y., Atsumi, T., Poirot, R., Lee, Y., Kato, A., & Goto, Y. (2017) · Psychopharmacology · doi:10.1007/s00213-017-4544-6 · Cited by 12
Lixenberg, A., & Joshua, M. (2018) · Journal of Neuroscience · doi:10.1523/jneurosci.1654-18.2018 · Cited by 12
Reward-driven attention alters perceived salience
Qin, N., Gu, R., Xue, J., Chen, C., & Zhang, M. (2021) · Journal of Vision · doi:10.1167/jov.21.1.7 · Cited by 14
Yoo, H. B., Moya, B. E., & Filbey, F. M. (2020) · Human Brain Mapping · doi:10.1002/hbm.25036 · Cited by 12
Separable Influences of Reward on Visual Processing and Choice
Soltani, A., Rakhshan, M., Schafer, R. J., Burrows, B. E., & Moore, T. (2020) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_01647 · Cited by 11
Self-citationThe functional roles of neural remapping in cortex
Bisley, J. W., Mirpour, K., & Alkan, Y. (2020) · Journal of Vision · doi:10.1167/jov.20.9.6 · Cited by 12
Opriș, I. C., Gerhardt, G. A., Hampson, R. E., & Deadwyler, S. A. (2015) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2015.00079 · Cited by 10
Functional Neuroimaging of Deficits in Cognitive Control
Mackie, M., & Fan, J. (2017) · Elsevier eBooks · doi:10.1016/b978-0-12-803676-1.00011-8 · Cited by 12
Mueller, A. L., Shepard, S. B., & Moore, T. (2018) · Frontiers in Neural Circuits · doi:10.3389/fncir.2018.00012 · Cited by 12
Self-citationLee, K., Ahn, K.-H., & Keller, E. L. (2012) · PLoS ONE · doi:10.1371/journal.pone.0039886 · Cited by 10
Neural Mechanisms of Saliency, Attention, and Orienting
White, B. J., & Munoz, D. P. (2016) · Cognitive science and technology · doi:10.1007/978-981-10-0213-7_1 · Cited by 10
Rosell‐Negre, P., Bustamante, J. C., Fuentes‐Claramonte, P., Costumero, V., Llácer, J. J. L., & Barrós‐Loscertales, A. (2016) · PLoS ONE · doi:10.1371/journal.pone.0167400 · Cited by 10
Waking and Dreaming Consciousness: Neurobiological and Functional Considerations
Hobson, J. A., & Friston, K. J. (2018) · Elsevier eBooks · doi:10.1016/b978-0-12-809324-5.21972-x · Cited by 10
Riedel, P., Domachowska, I., Lee, Y., Neukam, P. T., Tönges, L., Li, S., Goschke, T., & Smolka, M. N. (2022) · Psychopharmacology · doi:10.1007/s00213-022-06077-w · Cited by 9
Sheng, J., Trelle, A. N., Romero, A., Park, J., Tran, T., Sha, S. J., Andreasson, K. I., Wilson, E. N., Mormino, E. C., & Wagner, A. D. (2025) · Science Advances · doi:10.1126/sciadv.ads4206 · Cited by 9
Skirzewski, M., Molotchnikoff, S., Hernandez, L. F., & Maya‐Vetencourt, J. F. (2022) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2021.806376 · Cited by 9
Lumping and Splitting the Neural Circuitry of Visual Attention
Steinmetz, N. A., & Moore, T. (2012) · Neuron · doi:10.1016/j.neuron.2012.01.011 · Cited by 9
Self-citationAging and Parkinson's disease as functional models of temporal order perception
da Silva, C. F., Morgero, K. C. S., Mota, A. M., Piemonte, M. E. P., & Baldo, M. V. C. (2015) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2015.09.029 · Cited by 9
Strumpf, H., Noesselt, T., Schoenfeld, M. A., Voges, J., Panther, P., Kaufmann, J., Heinze, H., & Hopf, J. (2016) · PLoS ONE · doi:10.1371/journal.pone.0155206 · Cited by 8
Reward-Related Suppression of Neural Activity in Macaque Visual Area V4
Shapcott, K. A., Schmiedt, J. T., Kouroupaki, K., Kienitz, R., Lazăr, A., Singer, W., & Schmid, M. C. (2020) · Cerebral Cortex · doi:10.1093/cercor/bhaa079 · Cited by 8
Saccade selection and inhibition: motor and attentional components
Jonikaitis, D., Dhawan, S., & Deubel, H. (2019) · Journal of Neurophysiology · doi:10.1152/jn.00726.2017 · Cited by 8
Clark, K., Noudoost, B., & Moore, T. (2014) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00599 · Cited by 8
Self-citationA causal role for the right frontal eye fields in value comparisonPreprint
Krajbich, I. M. (2025) · OSF Preprints (OSF Preprints) · Cited by 8
Object representation in a gravitational reference frame
Emonds, A. M., Srinath, R., Nielsen, K. J., & Connor, C. E. (2023) · eLife · doi:10.7554/elife.81701 · Cited by 7
Sustained attention operates via dissociable neural mechanisms across different eccentric locations
Phangwiwat, T., Phunchongharn, P., Wongsawat, Y., Chatnuntawech, I., Wang, S., Chunharas, C., Sprague, T. C., Woodman, G. F., & Itthipuripat, S. (2024) · Scientific Reports · doi:10.1038/s41598-024-61171-7 · Cited by 7
Qin, N., Xue, J., Chen, C., & Zhang, M. (2020) · Cognitive Science · doi:10.1111/cogs.12825 · Cited by 8
Antono, J. E., Dang, S., Auksztulewicz, R., & Pooresmaeili, A. (2023) · Journal of Neuroscience · doi:10.1523/jneurosci.0355-23.2023 · Cited by 8
Thiele, A. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1207975109 · Cited by 7
Spatial Frequency Selectivity Is Impaired in Dopamine D2 Receptor Knockout Mice
de Souza, B. O. F., Rjeili, M. A., Quintana, C., Beaulieu, J., & Casanova, C. (2018) · Frontiers in Integrative Neuroscience · doi:10.3389/fnint.2017.00041 · Cited by 7
García-Lázaro, H. G., Bartsch, M. V., Boehler, C. N., Krebs, R. M., Donohue, S. E., Harris, J. A., Schoenfeld, M. A., & Hopf, J. (2018) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_01356 · Cited by 9
Furman, D. J., Pappas, I., White, R. L., Kayser, A. S., & D’Esposito, M. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.118472 · Cited by 7
Preliminary evidence for a role of the personality trait in visual perceptual learning
Zhang, M., Tu, J., Dong, B., Chen, C., & Bao, M. (2016) · Neurobiology of Learning and Memory · doi:10.1016/j.nlm.2016.12.009 · Cited by 6
Attention expedites target selection by prioritizing the neural processing of distractor features
Bartsch, M. V., Merkel, C., Schoenfeld, M. A., & Hopf, J. (2021) · Communications Biology · doi:10.1038/s42003-021-02305-9 · Cited by 6
Biological substrates of structure-function coupling in brain networks
Fotiadis, P., Arnsten, A. F. T., Parkes, L., Satterthwaite, T. D., Shinohara, R. T., & Bassett, D. S. (2026) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2026.106581 · Cited by 5
Social hierarchy regulates ocular dominance plasticity in adult male mice
Balog, J., Hintz, F., Isstas, M., Teichert, M., Winter, C., & Lehmann, K. (2019) · Brain Structure and Function · doi:10.1007/s00429-019-01959-w · Cited by 5
Temperament and probabilistic predictive coding in visual-spatial attention
Lasaponara, S., Scozia, G., Lozito, S., Pinto, M., Conversi, D., Costanzi, M., Vriens, T., Silvetti, M., & Doricchi, F. (2023) · Cortex · doi:10.1016/j.cortex.2023.10.004 · Cited by 6
The cognitive reality monitoring network and theories of consciousness
Cortese, A., & Kawato, M. (2024) · Neuroscience Research · doi:10.1016/j.neures.2024.01.007 · Cited by 6
Sensitization to apomorphine in pigeons
Delius, J. D., Acerbo, M. J., Krug, I., Lee, J., & Leydel, R. (2014) · Behavioural Pharmacology · doi:10.1097/fbp.0000000000000087 · Cited by 5
Billino, J., Hennig, J., & Gegenfurtner, K. R. (2016) · eNeuro · doi:10.1523/eneuro.0190-16.2016 · Cited by 5
Neuromolecular basis of faded perception associated with unreality experience
Yokokawa, K., Ito, T., Takahata, K., Takano, H., Kimura, Y., Ichise, M., Ikoma, Y., Isato, A., Zhang, M., Kawamura, K., et al. (2018) · Scientific Reports · doi:10.1038/s41598-018-26382-9 · Cited by 5
Shi, Y.-L., Steinmetz, N. A., Moore, T., Boahen, K. A., & Engel, T. A. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.09.02.279893 · Cited by 5
Self-citationRamezanpour, H., Kehoe, D. H., Schall, J. D., & Fallah, M. (2024) · Journal of Neuroscience · doi:10.1523/jneurosci.0635-24.2024 · Cited by 4
Manipulation of Object Choice by Electrical Microstimulation in Macaque Frontal Eye Fields
Matsushima, A., & Tanaka, M. (2013) · Cerebral Cortex · doi:10.1093/cercor/bht009 · Cited by 4
Counterproductive Effect of Saccadic Suppression during Attention Shifts
Zénon, A., Corneil, B. D., Alamia, A., Filali-Sadouk, N., & Olivier, E. (2014) · PLoS ONE · doi:10.1371/journal.pone.0086633 · Cited by 4
Flashman, L. A., McDonald, B. C., Ford, J., Kenny, R. M., Andrews, K. D., Saykin, A. J., & McAllister, T. W. (2020) · Journal of Neurotrauma · doi:10.1089/neu.2020.7087 · Cited by 4
Dasilva, M., Brandt, C., Gieselmann, M. A., Distler, C., & Thiele, A. (2021) · Cerebral Cortex · doi:10.1093/cercor/bhab007 · Cited by 4
Phaf, R. H. (2023) · New Ideas in Psychology · doi:10.1016/j.newideapsych.2023.101026 · Cited by 4
The Frontal Eye Fields Limit the Capacity of Visual Short-Term Memory in Rhesus Monkeys
Lee, K., & Ahn, K.-H. (2013) · PLoS ONE · doi:10.1371/journal.pone.0059606 · Cited by 4
The Effect of FEF Microstimulation on the Responses of Neurons in the Lateral Intraparietal Area
Premereur, E., Vanduffel, W., & Janssen, P. (2014) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00591 · Cited by 4
In-Vivo Connectivity in Monkeys
Vanduffel, W. (2016) · Research and perspectives in neurosciences · doi:10.1007/978-3-319-27777-6_6 · Cited by 4
Carter, M. E., & Shieh, J. C. (2015) · Elsevier eBooks · doi:10.1016/b978-0-12-800511-8.00008-3 · Cited by 5
Fujimoto, A., Elorette, C., Fujimoto, S. H., Fleysher, L., Rudebeck, P. H., & Russ, B. E. (2024) · Journal of Neuroscience · doi:10.1523/jneurosci.1301-24.2024 · Cited by 3
An Artificial Dopamine‐Ionic Cascade Synapse for Adaptive Neuromorphic Attention
Zhang, H., Xiang, Y., Zhang, X., Zhang, L., Xue, Q., Zhu, X., Chang, W., Li, T., Yu, X., Yang, C., et al. (2026) · Advanced Materials · doi:10.1002/adma.202521464 · Cited by 3
Noradrenergic tuning of arousal is coupled to movement transitions
Li, L., Rana, A. N., Li, E. M., Wells, B. A., Kenmochi, S. J., Travis, M. O., & Bruchas, M. R. (2025) · Cell Reports · doi:10.1016/j.celrep.2025.116601 · Cited by 5
Dopamine: Burning the Candle at Both Ends
Pearson, J. M., & Platt, M. L. (2013) · Neuron · doi:10.1016/j.neuron.2013.08.011 · Cited by 3
Encoding of self-initiated actions in axon terminals of the mesocortical pathway
Ohtake, M., Abe, K., Hasegawa, M., Itokazu, T., Selvakumar, V., Matunis, A., Stacy, E., Froebrich, E., Huynh, N., Lee, H., et al. (2024) · Neurophotonics · doi:10.1117/1.nph.11.3.033408 · Cited by 4
Zeng, Z., Zhang, C., Xu, Y., He, H., & Gu, Y. (2025) · Nature Communications · doi:10.1038/s41467-025-60504-y · Cited by 3
Shipp, S. D., & Friston, K. J. (2023) · Oxford University Press eBooks · doi:10.1093/med/9780197676158.003.0041 · Cited by 3
Choice anticipation as gated accumulation of sensory predictions
Caie, B., Endres, D., Khan, A. Z., & Blohm, G. (2025) · Journal of Neurophysiology · doi:10.1152/jn.00041.2024 · Cited by 3
Karimi-Rouzbahani, H. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/189811 · Cited by 3
Leptourgos, P. (2018) · theses.fr (ABES) · doi:10.70675/dafacdb1z9072z4ec2z8cebz0ca09b93b7ce · Cited by 3
Maternal immune activation alters infant attentional processing in a nonhuman primate model
Hubbard, J. A., Chen, S., Iosif, A., Ryan, A. M., Murai, T., Hogrefe, C. E., Lesh, T. A., Smucny, J., Maddock, R. J., Schumann, C. M., et al. (2025) · Brain Behavior & Immunity - Health · doi:10.1016/j.bbih.2025.101075 · Cited by 2
Lozito, S., Scuderi, A., Pertosa, G., Piga, V., Presti, S. L., Doricchi, F., & Lasaponara, S. (2025) · Biological Psychology · doi:10.1016/j.biopsycho.2025.109167 · Cited by 2
Pharmaco-Based fMRI and Neurophysiology in Non-Human Primates
Zaldivar, D., Logothetis, N. K., Rauch, A., & Goense, J. B. M. (2016) · Neuromethods · doi:10.1007/978-1-4939-6490-1_3 · Cited by 2
Gain modulation of probabilistic selection without synaptic relearning
Ersöz, E. K., Chossat, P., & Lavigne, F. (2025) · PLoS ONE · doi:10.1371/journal.pone.0333350 · Cited by 4
Parietal and prefrontal neurons driven to distraction
Noudoost, B., & Moore, T. (2012) · Nature Neuroscience · doi:10.1038/nn.3291 · Cited by 2
Self-citationRuíz, T., Baldwin, A. S., Spiegel, D. P., Hess, R. F., & Farivar, R. (2019) · Frontiers in Neurology · doi:10.3389/fneur.2019.00767 · Cited by 2
Attention and reinforcement learning in Parkinson’s diseasePreprint
McCoy, B., Lawson, R. P., & Theeuwes, J. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.09.12.294702 · Cited by 2
Chen, Z., Li, G., Zhou, L., Zhang, L., & Liu, J. (2023) · medRxiv · doi:10.1101/2023.09.19.23295781 · Cited by 2
Smart, C., Mitchell, A., McCutcheon, F. M., Medcalf, R. L., & Thiele, A. (2023) · iScience · doi:10.1016/j.isci.2023.105947 · Cited by 1
Frontotemporal bursting supports human working memory
Omelyusik, V., Davis, T. S., Nair, S. S., Noudoost, B., Hackett, P. D., Smith, E. H., Rahimpour, S., Rolston, J. D., & Kundu, B. (2026) · NeuroImage · doi:10.1016/j.neuroimage.2026.121718 · Cited by 1
Self-citationFunahashi, S. (2022) · Brain science · doi:10.1007/978-981-19-7268-3_4 · Cited by 2
Vafaee, F., & Gorji, A. (2025) · The Neuroscience Journal of Shefaye Khatam · doi:10.61882/shefa.13.3.90 · Cited by 1
Learning a New Selection Rule in Visual and Frontal Cortex
van der Togt, C., Stănişor, L., Pooresmaeili, A., Albantakis, L., Deco, G., & Roelfsema, P. R. (2016) · Cerebral Cortex · doi:10.1093/cercor/bhw155 · Cited by 2
Investigating attentional function and cognitive fluctuations in Lewy body dementia
Cromarty, R. A. (2016) · Cited by 1
Hüer, J. (2019) · eDiss (Georg-August-Universität Göttingen) · doi:10.53846/goediss-7269 · Cited by 1
Predictive Motor Control Based on a Generative Adversarial NetworkPreprint
Lenninger, M., Choi, W.-H., & Choi, H. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.01.17.524156 · Cited by 1
Prefrontal activity sharpens spatial sensitivity of extrastriate neuronsPreprint
Vanegas, M. I., Akbarian, A., Clark, K., Nesse, W. H., & Noudoost, B. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.10.25.564095 · Cited by 1
Self-citationVisual working memory in health and disease
Gorgoraptis, N. (2013) · UCL Discovery (University College London)
Banerjee, S. (2014) · CUNY Academic Works (City University of New York)
Visual Attention and the Role of Normalization
Ni, A. M. (2012) · Digital Access to Scholarship at Harvard (DASH) (Harvard University)
Mechanisms of attention in visual cortex and the amygdala
Baruni, J. (2016) · doi:10.7916/d83t9h70
Vitamin D in Dry Eye and Myopia
Yang, C. H. (2017) · Queensland University of Technology · doi:10.5204/thesis.eprints.113952
Internal and External Awareness
Sauret, W. (2019) · Carolina Digital Repository (University of North Carolina at Chapel Hill) · doi:10.17615/yhxc-th54
Manoliu, A., Sladky, R., Scherpiet, S., Jäncke, L., Kirschner, M., Haugg, A., Bolsinger, J., Krähenmann, R., Stämpfli, P., Scharnowski, F., et al. (2020) · Journal of Psychopharmacology · doi:10.1177/0269881120972341
Contribution of the Frontal Eye Field to Adaptive Target SelectionPreprint
Rakhshan, M., Schafer, R. J., Moore, T., & Soltani, A. (2021) · SSRN Electronic Journal · doi:10.2139/ssrn.3908786
Self-citationDissociable Roles of FEF Neurons in Initiating SaccadesPreprint
Shams-Ahmar, M., Thier, P., & Merrikhi, Y. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.02.01.478650
Helmer, M. (2015) · doi:10.53846/goediss-5441
Carter, M. E., Essner, R. A., Goldstein, N., & Iyer, M. (2022) · Elsevier eBooks · doi:10.1016/b978-0-12-818646-6.00010-5
Moschovakis, A. K. (2019) · Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature · doi:10.3410/f.734225388.793556235
Regulation of critical brain dynamics and its functional implications
Avrămiea, A.-E. (2023) · doi:10.5463/thesis.144 · Cited by 1
Modulation of sensory processing under different modes of reward cueing
Antono, J. E. (2023) · eDiss (Georg-August-Universität Göttingen) · doi:10.53846/goediss-9824
Editor's evaluation: Object representation in a gravitational reference frame
Arun, S. P. (2022) · eLife · doi:10.7554/elife.81701.sa0
Timing-dependent modulation of working memory by VTA dopamine release in medial prefrontal cortexPreprint
Ge, C., Chen, Z., Sun, F., Hou, R., Fan, H., Li, Y., & Li, C. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.09.01.555676
Metadata
- Authors
- Noudoost, B., & Moore, T.
- Affiliations
- Howard Hughes Medical Institute (US)
- Corresponding author
- Noudoost, Behrad
- Venue
- Nature
- Published
- 2011-05-15
- Volume
- 474
- Issue
- 7351
- Pages
- 372-375
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- PMC
- PMC3117113
- OpenAlex
- W2008506107
- Cited by
- 324
- References
- 31
- Citations by year
- 2026: 11 · 2025: 16 · 2024: 13 · 2023: 22 · 2022: 16 · 2021: 25 · 2020: 21 · 2019: 23 · 2018: 31 · 2017: 24 · 2016: 24 · 2015: 21 · 2014: 27 · 2013: 20 · 2012: 24
- FWCI
- 12.50
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Funders
- Howard Hughes Medical Institute
- National Eye Institute (EY014924, R01EY014924, R56EY014924)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neurotransmitter Receptor Influence on Behavior
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Keywords
- prefrontal dopamine, dopamine D1 receptor, dopamine D2 receptor, frontal eye field, top-down attention, orientation selectivity, macaque
- MeSH terms
- Animals, Benzazepines, Dopamine, Macaca mulatta, Muscimol, Neurons, Saccades, Visual Cortex, Visual Perception, Prefrontal Cortex, Receptors, Dopamine D1, GABA-A Receptor Agonists
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