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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.
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“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)
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“whereas dopamine may preferentially contribute to endogenous attention [47].”
From Linking ADHD to the Neural Circuitry of Attention (2017) · cites this paper as [47]
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“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]
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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
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Schibli, K., Wong, K., Hedayati, N., & D’Angiulli, A. (2017) · Annals of the New York Academy of Sciences · doi:10.1111/nyas.13369 · Cited by 56
Dopamine D2 Receptors Enhance Population Dynamics in Primate Prefrontal Working Memory Circuits
Ott, T., & Nieder, A. (2016) · Cerebral Cortex · doi:10.1093/cercor/bhw244 · Cited by 46
Layer-Dependent Attentional Processing by Top-down Signals in a Visual Cortical Microcircuit Model
Wagatsuma, N., Potjans, T. C., Diesmann, M., & Fukai, T. (2011) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2011.00031 · Cited by 45
Adelhöfer, N., Gohil, K., Passow, S., Teufert, B., Roessner, V., Li, S., & Beste, C. (2018) · Human Brain Mapping · doi:10.1002/hbm.24344 · Cited by 43
Divergent Whole Brain Projections from the Ventral Midbrain in Macaques
Zubair, M., Murris, S. R., Isa, K., Onoe, H., Koshimizu, Y., Kobayashi, K., Vanduffel, W., & Isa, T. (2021) · Cerebral Cortex · doi:10.1093/cercor/bhaa399 · Cited by 43
A Distinct Contribution of the Frontal Eye Field to the Visual Representation of Saccadic Targets
Noudoost, B., Clark, K., & Moore, T. (2014) · Journal of Neuroscience · doi:10.1523/jneurosci.3824-13.2014 · Cited by 42
Self-citationVollebregt, M. A., Zumer, J. M., ter Huurne, N., Buitelaar, J. K., & Jensen, O. B. (2016) · Clinical Neurophysiology · doi:10.1016/j.clinph.2016.01.021 · Cited by 42
Goals, usefulness and abstraction in value-based choice
Martino, B. D., & Cortese, A. (2022) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2022.11.001 · Cited by 46
Functional Categories of Visuomotor Neurons in Macaque Frontal Eye Field
Lowe, K. A., & Schall, J. D. (2018) · eNeuro · doi:10.1523/eneuro.0131-18.2018 · Cited by 41
Two different mechanisms support selective attention at different phases of training
Itthipuripat, S., Cha, K., Byers, A., & Serences, J. T. (2017) · PLoS Biology · doi:10.1371/journal.pbio.2001724 · Cited by 42
Distinct roles of prefrontal and parietal areas in the encoding of attentional priority
Sapountzis, P., Paneri, S., & Gregoriou, G. G. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1804643115 · Cited by 40
Frontotemporal coordination predicts working memory performance and its local neural signatures
Rezayat, E., Dehaqani, M. A., Clark, K., Bahmani, Z., Moore, T., & Noudoost, B. (2021) · Nature Communications · doi:10.1038/s41467-021-21151-1 · Cited by 40
Self-citationCicmil, N., & Krug, K. (2015) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2014.0206 · Cited by 41
Cell class-specific modulation of attentional signals by acetylcholine in macaque frontal eye field
Dasilva, M., Brandt, C., Gotthardt, S., Gieselmann, M. A., Distler, C., & Thiele, A. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1905413116 · Cited by 38
Ardid, S., & Wang, X. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.1356-13.2013 · Cited by 41
Wolf, C., & Lappe, M. (2021) · Cognitive Neurodynamics · doi:10.1007/s11571-020-09661-y · Cited by 38
Dopamine signals and physiological origin of cognitive dysfunction in Parkinson's disease
Matsumoto, M. (2015) · Movement Disorders · doi:10.1002/mds.26177 · Cited by 37
Dopamine Modulation of Motor and Sensory Cortical Plasticity among Vertebrates
Macêdo-Lima, M., & Remage‐Healey, L. (2021) · Integrative and Comparative Biology · doi:10.1093/icb/icab019 · Cited by 38
Wang, M., Yu, B., Luo, C., Fogelson, N., Zhang, J., Jin, Z., & Li, L. (2020) · Cortex · doi:10.1016/j.cortex.2020.01.005 · Cited by 34
Persistent Spatial Information in the Frontal Eye Field during Object-Based Short-Term Memory
Clark, K., Noudoost, B., & Moore, T. (2012) · Journal of Neuroscience · doi:10.1523/jneurosci.1450-12.2012 · Cited by 33
Self-citationVijayraghavan, S., Major, A. J., & Everling, S. (2017) · Frontiers in Neural Circuits · doi:10.3389/fncir.2017.00091 · Cited by 34
Lee, M. L., Mueller, A. L., & Moore, T. (2020) · Frontiers in Neuroanatomy · doi:10.3389/fnana.2020.574130 · Cited by 32
Self-citationShi, Y.-L., Steinmetz, N. A., Moore, T., Boahen, K. A., & Engel, T. A. (2022) · Nature Communications · doi:10.1038/s41467-021-27724-4 · Cited by 31
Self-citationDissociating oculomotor contributions to spatial and feature-based selection
Jonikaitis, D., & Theeuwes, J. (2013) · Journal of Neurophysiology · doi:10.1152/jn.00275.2013 · Cited by 31
Activity-dependent constraints on catecholamine signaling
Li, L., Rana, A. N., Li, E. M., Feng, J., Li, Y., & Bruchas, M. R. (2023) · Cell Reports · doi:10.1016/j.celrep.2023.113566 · Cited by 30
Cholinergic system in schizophrenia: A systematic review and meta-analysis
Saint-Georges, Z., MacDonald, J., Al-Khalili, R., Hamati, R., Solmi, M., Keshavan, M. S., Tuominen, L. J., & Guimond, S. (2025) · Molecular Psychiatry · doi:10.1038/s41380-025-03023-y · Cited by 32
Reward- and Attention-related Biasing of Sensory Selection in Visual Cortex
Buschschulte, A., Boehler, C. N., Strumpf, H., Stoppel, C. M., Heinze, H., Schoenfeld, M. A., & Hopf, J. (2013) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00539 · Cited by 34
Rational inattention and tonic dopamine
Mikhael, J. G., Lai, L., & Gershman, S. J. (2021) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1008659 · Cited by 33
Dopamine Receptor Expression Among Local and Visual Cortex-Projecting Frontal Eye Field Neurons
Mueller, A. L., Krock, R. M., Shepard, S. B., & Moore, T. (2019) · Cerebral Cortex · doi:10.1093/cercor/bhz078 · Cited by 33
Self-citationBottom-Up and Top-Down Input Augment the Variability of Cortical Neurons
Gómez-Laberge, C., Smolyanskaya, A., Nassi, J. J., Kreiman, G., & Born, R. T. (2016) · Neuron · doi:10.1016/j.neuron.2016.06.028 · Cited by 29
A Reinforcement Meta-Learning Framework of Executive Function and Information Demand
Silvetti, M., Lasaponara, S., Daddaoua, N., Horan, M., & Gottlieb, J. P. (2021) · Neural Networks · doi:10.1016/j.neunet.2022.10.004 · Cited by 30
Monosov, I. E., Sheinberg, D. L., & Thompson, K. G. (2011) · Journal of Neuroscience · doi:10.1523/jneurosci.2995-11.2011 · Cited by 29
Boosted visual performance after eye blinks
Ang, J. W. A., & Maus, G. W. (2020) · Journal of Vision · doi:10.1167/jov.20.10.2 · Cited by 28
Khan, A. F., Adewale, Q., Lin, S.-J., Baumeister, T. R., Zeighami, Y., Carbonell, F., Palomero-Gallagher, N., & Iturria-Medina, Y. (2023) · Nature Communications · doi:10.1038/s41467-023-41677-w · Cited by 28
Gong, M., Jia, K., & Li, S. (2017) · Journal of Neuroscience · doi:10.1523/jneurosci.0217-17.2017 · Cited by 29
Zaldivar, D., Goense, J. B. M., Lowe, S., Logothetis, N. K., & Panzeri, S. (2018) · Current Biology · doi:10.1016/j.cub.2017.12.006 · Cited by 28
Dissociable contributions of phasic dopamine activity to reward and prediction
Pan, W. X., Coddington, L. T., & Dudman, J. T. (2021) · Cell Reports · doi:10.1016/j.celrep.2021.109684 · Cited by 29
Pre-Attentive, Context-Specific Representation of Fear Memory in the Auditory Cortex of Rat
Funamizu, A., Kanzaki, R., & Takahashi, H. (2013) · PLoS ONE · doi:10.1371/journal.pone.0063655 · Cited by 27
Vijayraghavan, S., Major, A. J., & Everling, S. (2016) · Cell Reports · doi:10.1016/j.celrep.2016.06.031 · Cited by 28
Dan, R., Růžička, F., Bezdíček, O., Roth, J., Růžička, E., Vymazal, J., Goelman, G., & Jech, R. (2019) · European Neuropsychopharmacology · doi:10.1016/j.euroneuro.2019.09.003 · Cited by 27
Causal Mechanisms Driving Visual Cortical Plasticity and Perceptual Learning in Primates
Arsenault, J. T., & Vanduffel, W. (2018) · Nature Communications · doi:10.1038/s41467-019-11527-9 · Cited by 26
Amplification and Suppression of Distinct Brainwide Activity Patterns by Catecholamines
van den Brink, R. L., Nieuwenhuis, S., & Donner, T. H. (2018) · Journal of Neuroscience · doi:10.1523/jneurosci.0514-18.2018 · Cited by 27
Ott, T., Stein, A. M., & Nieder, A. (2023) · Nature Communications · doi:10.1038/s41467-023-43271-6 · Cited by 26
Augmenting Frontal Dopamine Tone Enhances Maintenance over Gating Processes in Working Memory
Furman, D. J., Zhang, Z., Chatham, C. H., Good, M., Badre, D., Hsu, M., & Kayser, A. S. (2020) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_01641 · Cited by 25
Anatomical connection strength predicts dopaminergic drug effects on fronto-striatal function
van Schouwenburg, M. R., Zwiers, M. P., van der Schaaf, M. E., Geurts, D. E. M., Schellekens, A., Buitelaar, J. K., Verkes, R. J., & Cools, R. (2013) · Psychopharmacology · doi:10.1007/s00213-013-3000-5 · Cited by 25
The Effect of Citicoline Supplementation on Motor Speed and Attention in Adolescent Males
McGlade, E., Agoston, A. M., DiMuzio, J. M., Kizaki, M., Nakazaki, E., Kamiya, T., & Yurgelun-Todd, D. A. (2015) · Journal of Attention Disorders · doi:10.1177/1087054715593633 · Cited by 25
Topography of Visuomotor Parameters in the Frontal and Premotor Eye Fields
Savaki, H. E., Gregoriou, G. G., Bakola, S., & Moschovakis, A. K. (2014) · Cerebral Cortex · doi:10.1093/cercor/bhu106 · Cited by 24
The development of aperiodic neural activity in the human brain
Cross, Z. R., Gray, S. M., Dede, A. J. O., Rivera, Y. M., Yin, Q., Vahidi, P., Rau, E. M. B., Cyr, C., Holubecki, A. M., Asano, E., et al. (2025) · Nature Human Behaviour · doi:10.1038/s41562-025-02270-x · Cited by 26
Correa, P. A., Gruninger, T. R., & Garcia, L. R. (2015) · Journal of Neuroscience · doi:10.1523/jneurosci.0940-15.2015 · Cited by 23
Servant, M., Tillman, G., Schall, J. D., Logan, G. D., & Palmeri, T. J. (2019) · Journal of Neurophysiology · doi:10.1152/jn.00507.2018 · Cited by 25
Dopamine Alters the Fidelity of Working Memory Representations according to Attentional Demands
Fallon, S. J., Zokaei, N., Norbury, A., Manohar, S. G., & Husain, M. (2017) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_01073 · Cited by 22
The Prefrontal Cortex and Executive Brain Functions
Miller, E. K., & Wallis, J. D. (2013) · Elsevier eBooks · doi:10.1016/b978-0-12-385870-2.00050-0 · Cited by 23
Learned value modulates the access to visual awareness during continuous flash suppression
Lunghi, C., & Pooresmaeili, A. (2023) · Scientific Reports · doi:10.1038/s41598-023-28004-5 · Cited by 21
A recruitment through coherence theory of working memory
Comeaux, P., Clark, K., & Noudoost, B. (2023) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2023.102491 · Cited by 21
Self-citationMethods, caveats and the future of large-scale microelectrode recordings in the non-human primate
Dotson, N. M., Goodell, B., Salazar, R. F., Hoffman, S. J., & Gray, C. M. (2015) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2015.00149 · Cited by 24
Dysregulation of auditory neuroplasticity in schizophrenia
Voss, P., Thomas, M. E., Guercio, G. D., & de Villers‐Sidani, E. (2018) · Schizophrenia Research · doi:10.1016/j.schres.2018.04.025 · Cited by 22
Grujic, N., Brus, J., Burdakov, D., & Polanía, R. (2022) · Science Advances · doi:10.1126/sciadv.abj8935 · Cited by 22
Motor cortex gates distractor stimulus encoding in sensory cortex
Zhang, Z., & Zagha, E. (2023) · Nature Communications · doi:10.1038/s41467-023-37848-4 · Cited by 21
Backward masking reveals coarse-to-fine dynamics in human V1
Schuurmans, J. P., Bennett, M., Petras, K., & Goffaux, V. (2023) · NeuroImage · doi:10.1016/j.neuroimage.2023.120139 · Cited by 20
Combined contributions of feedforward and feedback inputs to bottom-up attention
Khorsand, P., Moore, T., & Soltani, A. (2015) · Frontiers in Psychology · doi:10.3389/fpsyg.2015.00155 · Cited by 20
Self-citationMadden, D. J., Parks, E. L., Tallman, C. W., Boylan, M. A., Hoagey, D. A., Cocjin, S. B., Johnson, M. A., Chou, Y., Potter, G. G., Chen, N., et al. (2017) · Human Brain Mapping · doi:10.1002/hbm.23509 · Cited by 21
Caudate nucleus reactivity predicts perceptual learning rate for visual feature conjunctions
Reavis, E. A., Frank, S., & Tse, P. U. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.01.051 · Cited by 19
Working memory improves developmentally as neural processes stabilize
Montez, D. F., Calabro, F. J., & Luna, B. (2019) · PLoS ONE · doi:10.1371/journal.pone.0213010 · Cited by 20
A link between synaptic plasticity and reorganization of brain activity in Parkinson's disease
Rebelo, D., Oliveira, F. P. M., Abrunhosa, A., Januário, C., Lemos, J., & Castelo-Branco, M. S. (2021) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2013962118 · Cited by 19
Behavioral demand modulates object category representation in the inferior temporal cortex
Emadi, N., & Esteky, H. (2014) · Journal of Neurophysiology · doi:10.1152/jn.00761.2013 · Cited by 19
The Influence of Gaze Control on Visual Perception: Eye Movements and Visual StabilityPreprint
Krock, R. M., & Moore, T. (2014) · Cold Spring Harbor Symposia on Quantitative Biology · doi:10.1101/sqb.2014.79.024836 · Cited by 23
Self-citationFEF-microstimulation causes task-dependent modulation of occipital fMRI activity
Premereur, E., Janssen, P., & Vanduffel, W. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2012.11.017 · Cited by 18
The effects of reward and social context on visual processing for perceptual decision-making
Takagaki, K., & Krug, K. (2020) · Current Opinion in Physiology · doi:10.1016/j.cophys.2020.08.006 · Cited by 18
Dagnino, B., Gariel, M.-A., & Roelfsema, P. R. (2014) · Journal of Neurophysiology · doi:10.1152/jn.00645.2014 · Cited by 18
Reward and value coding by dopamine neurons in non-human primates
Alikaya, A., Rack-Wildner, M., & Stauffer, W. R. (2017) · Journal of Neural Transmission · doi:10.1007/s00702-017-1793-9 · Cited by 20
Physiology of vision and the visual system
Forrester, J. V., Dick, A. D., McMenamin, P. G., Roberts, F., & Pearlman, E. M. (2015) · Elsevier eBooks · doi:10.1016/b978-0-7020-5554-6.00005-8 · Cited by 19
Li, S., May, C., Hannan, A. J., Johnson, K. A., & Burrows, E. L. (2020) · Neuropsychopharmacology · doi:10.1038/s41386-020-00873-8 · Cited by 17
Wulaer, B., Kunisawa, K., Tanabe, M., Yanagawa, A., Saito, K., Mouri, A., & Nabeshima, T. (2021) · Molecular Brain · doi:10.1186/s13041-021-00760-3 · Cited by 17
The fine structure of the dopaminergic innervation of area 10 of macaque prefrontal cortex
Martin, K. A. C., & Spühler, I. A. (2013) · European Journal of Neuroscience · doi:10.1111/ejn.12124 · Cited by 17
Sweitzer, M. M., Kollins, S. H., Kozink, R. V., Hallyburton, M., English, J. S., Addicott, M. A., Oliver, J. A., & McClernon, F. J. (2017) · Neuropsychopharmacology · doi:10.1038/npp.2017.248 · Cited by 17
Robust encoding of stimulus–response mapping by neurons in visual cortex
Jonikaitis, D., Xia, R., & Moore, T. (2025) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2408079122 · Cited by 17
Self-citationArif, Y., Spooner, R. K., Wiesman, A. I., Proskovec, A. L., Rezich, M. T., Heinrichs‐Graham, E., & Wilson, T. W. (2020) · Cerebral Cortex · doi:10.1093/cercor/bhaa077 · Cited by 16
Dopamine influences attentional rate modulation in Macaque posterior parietal cortex
van Kempen, J., Brandt, C., Distler, C., Bellgrove, M. A., & Thiele, A. (2022) · Scientific Reports · doi:10.1038/s41598-022-10634-w · Cited by 16
Arrigoni, E., Antoniotti, P., Bellocchio, V., Veronelli, L., Corbo, M., & Pisoni, A. (2024) · Ageing Research Reviews · doi:10.1016/j.arr.2024.102207 · Cited by 16
Reward modulates the neural dynamics of early visual category processing
Apitz, T., & Bunzeck, N. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.08.046 · Cited by 16
Smith, C. T., Swift‐Scanlan, T., & Boettiger, C. A. (2013) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00501 · Cited by 15
Dopaminergic impact on local and global cortical circuit processing during learning
Happel, M. F. K. (2015) · Behavioural Brain Research · doi:10.1016/j.bbr.2015.11.016 · Cited by 19
Structural Brain Correlates of Attention Dysfunction in Lewy Body Dementias and Alzheimer’s Disease
Cromarty, R. A., Schumacher, J., Graziadio, S., Gallagher, P., Killen, A., Firbank, M., Blamire, A. M., Kaiser, M., Thomas, A. J., O'Brien, J. T., et al. (2018) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2018.00347 · Cited by 16
Boredom signals deviation from a cognitive homeostatic set point
Trudel, C. M. J., Risko, E. F., Eastwood, J. D., van Tilburg, W. A. P., Elpidorou, A., & Danckert, J. A. (2025) · Communications Psychology · doi:10.1038/s44271-025-00209-6 · Cited by 15
Neural Correlates of the Formation and Retention of Cocaine-Induced Stimulus–Reward Associations
Nelissen, K., Jarraya, B., Arsenault, J. T., Rosen, B. R., Wald, L. L., Mandeville, J. B., Marota, J. J. A., & Vanduffel, W. (2012) · Biological Psychiatry · doi:10.1016/j.biopsych.2012.02.021 · Cited by 15
Visual sensitivity of frontal eye field neurons during the preparation of saccadic eye movements
Krock, R. M., & Moore, T. (2016) · Journal of Neurophysiology · doi:10.1152/jn.01140.2015 · Cited by 15
Self-citationTask-specific modulation of PFC activity for matching-rule governed decision-making
Parto-Dezfouli, M., Zarei, M. M., Constantinidis, C., & Daliri, M. R. (2021) · Brain Structure and Function · doi:10.1007/s00429-020-02191-7 · Cited by 16
Johnston, K., Lomber, S. G., & Everling, S. (2016) · Journal of Neurophysiology · doi:10.1152/jn.00563.2015 · Cited by 15
Macrocircuits: decision networks
Schall, J. D. (2012) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2012.11.009 · Cited by 15
Aly-Mahmoud, M., Carlier, P., Salam, S. A., Selmani, M. H., Moftah, M. Z., Esclapez, M., & Boussaoud, D. (2017) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2017.00082 · Cited by 18
A possible key role of vision in the development of schizophrenia
Császár, N., Kapócs, G., & Bókkon, I. (2018) · Reviews in the Neurosciences · doi:10.1515/revneuro-2018-0022 · Cited by 18
Tremblay, S., Pieper, F., Sachs, A. J., Joober, R., & Martínez-Trujillo, J. (2019) · eNeuro · doi:10.1523/eneuro.0371-18.2018 · Cited by 15
Uncertainty modulates visual maps during noninstrumental information demand
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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
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