The DOI matches its Crossref record; 215 of the 215 references it cites were found in a registry or an index.
Neuromodulation of Attention
Open accessAbstract
Attention is critical to high-level cognition and attention deficits are a hallmark of neurologic and neuropsychiatric disorders. Although years of research indicates that distinct neuromodulators influence attentional control, a mechanistic account that traverses levels of analysis (cells, circuits, behavior) is missing. However, such an account is critical to guide the development of next-generation pharmacotherapies aimed at forestalling or remediating the global burden associated with disorders of attention. Here, we summarize current neuroscientific understanding of how attention affects single neurons and networks of neurons. We then review key results that have informed our understanding of how neuromodulation shapes these neuron and network properties and thereby enables the appropriate allocation of attention to relevant external or internal events. Finally, we highlight areas where we believe hypotheses can be formulated and tackled experimentally in the near future, thereby critically increasing our mechanistic understanding of how attention is implemented at the cellular and network levels.
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 source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Among numerous cognitive domains, working memory serves as the basis of other higher order cognitive processes including but not limited to recognition memory (27–29), which is mediated by mPFC function.”
From Effects of Lisdexamfetamine, a Prodrug of D-Amphetamine, on Locomotion, Spatial Cognitive Processing and Neurochemical Profiles in Rats: A Comparison With Immediate-Release Amphetamine (2022) · cites this paper as [28]
Experimental — accuracy not yet measuredIn the citing paper
“In network models of local cortical circuits, state-dependent increases in inhibitory and excitatory drive can cause convergence of competing, unstable patterns of activity to a single, stable representation221”
From Mechanisms underlying gain modulation in the cortex (2020) · cites this paper as [221]
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
Control of goal-directed and stimulus-driven attention in the brain
Corbetta, M., & Shulman, G. L. (2002) · Nature Reviews Neuroscience · doi:10.1038/nrn755 · Cited by 12,881
A neural substrate of prediction and reward
Schultz, W., Dayan, P., & Montague, P. R. (1997) · Science · doi:10.1126/science.275.5306.1593 · Cited by 9,388
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
The relation of strength of stimulus to rapidity of habit formation
Yerkes, R. M., & Dodson, J. D. (1908) · Journal of Comparative Neurology and Psychology · doi:10.1002/cne.920180503 · Cited by 6,911
Aston-Jones, G., & Cohen, J. D. (2005) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.28.061604.135709 · Cited by 4,472
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
The physiology, signaling, and pharmacology of dopamine receptors
Beaulieu, J.-M., & Gainetdinov, R. R. (2011) · Pharmacological Reviews · doi:10.1124/pr.110.002642 · Cited by 2,763
Rhythms for cognition: communication through coherence
Fries, P. (2015) · Neuron · doi:10.1016/j.neuron.2015.09.034 · Cited by 2,725
Mnemonic coding of visual space in the monkey's dorsolateral prefrontal cortex
Funahashi, S., Bruce, C. J., & Goldman-Rakic, P. S. (1989) · Journal of Neurophysiology · doi:10.1152/jn.1989.61.2.331 · Cited by 2,685
Berridge, C. W., & Waterhouse, B. D. (2003) · Brain Research Reviews · doi:10.1016/s0165-0173(03)00143-7 · Cited by 2,529
Flagged first, then by citations
Cited by
Sorted by citations
Items 201–300 of 349
Fukngoen, P., Sivamaruthi, B. S., Sirilun, S., Lalitsuradej, E., Khongtan, S., Peerajan, S., Sittiprapaporn, P., & Chaiyasut, C. (2022) · Applied Sciences · doi:10.3390/app12115658 · Cited by 5
Nicotine promotes the utility of short-term memory during visual search in macaque monkeys
Sawagashira, R., & Tanaka, M. (2022) · Psychopharmacology · doi:10.1007/s00213-022-06186-6 · Cited by 5
Székely, E., Jolicoeur‐Martineau, A., Atkinson, L. R., Levitan, R. D., Steiner, M. S., Lydon, J. E., Fleming, A. S., Kennedy, J. L., & Wazana, A. D. (2021) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2021.701971 · Cited by 6
Barak, S., & Goltseker, K. (2023) · Current topics in behavioral neurosciences · doi:10.1007/7854_2022_411 · Cited by 5
Spontaneous eye blinks in horses (Equus caballus) are modulated by attention
Tomberg, C., Petagna, M., & de Moranville, L.-A. D. S. (2024) · Scientific Reports · doi:10.1038/s41598-024-70141-y · Cited by 5
Locus coeruleus norepinephrine selectively controls visual attentionPreprint
Ghosh, S., & Maunsell, J. H. R. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.09.30.510394 · Cited by 5
Transition dynamics of external and internal attention across on-task and off-task states
Verschooren, S., Dahl, M. J., Aly, M., & Mittner, M. (2026) · Nature Reviews Psychology · doi:10.1038/s44159-026-00578-7 · Cited by 7
Modeling attention and binding in the brain through bidirectional recurrent gating
Salehi, S., Lei, J., Benjamin, A. S., Müller, K., & Kording, K. P. (2026) · Nature Communications · doi:10.1038/s41467-026-72146-9 · Cited by 6
Direct brain recordings reveal implicit encoding of structure in random auditory streams
Fuhrer, J., Glette, K., Ivanović, J., Larsson, P. G., Bekinschtein, T. A., Kochen, S. S., Knight, R. T., Tørresen, J., Solbakk, A., Endestad, T., et al. (2025) · Scientific Reports · doi:10.1038/s41598-025-98865-5 · Cited by 14
Rauscher, B. C., Fomin-Thunemann, N., Kura, S., Doran, P. R., Pérez, P. D., Kılıç, K., Martin, E. A., Balog, D., Chai, N. X., Froio, F. A., et al. (2026) · Nature Neuroscience · doi:10.1038/s41593-026-02239-7 · Cited by 6
Toward a Brain-Inspired Theory of Artificial Learning
Thivierge, J., Giraud, É., & Lynn, M. B. (2023) · Cognitive Computation · doi:10.1007/s12559-023-10121-y · Cited by 4
Zondo, S., Ferreira‐Correia, A., & Cockcroft, K. (2024) · Journal of Sensors · doi:10.1155/2024/4970794 · Cited by 4
Thomas, K., Azimi, H., Maggioni, D., Sanders, M., Sánchez, P. V., Harvey, M., & Rainer, G. (2025) · Communications Biology · doi:10.1038/s42003-024-07318-8 · Cited by 4
Spatial and feature-selective attention interact to drive selective coding in frontoparietal cortex
Dermody, N., Lorenz, R., Goddard, E., Villringer, A., & Woolgar, A. (2025) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2025.109172 · Cited by 4
Biphasic Cholinergic Modulation of Reverberatory Activity in Neuronal Networks
Li, X.-W., Ren, Y., Shi, D., Qi, L., Xu, F., Xiao, Y., Lau, P.-M., & Bi, G. (2023) · Neuroscience Bulletin · doi:10.1007/s12264-022-01012-7 · Cited by 4
Patel, A., Kawaguchi, K., Seillier, L., & Nienborg, H. (2023) · European Journal of Neuroscience · doi:10.1111/ejn.15953 · Cited by 5
Cognitive learning technology: essence, efficiency and effectiveness
Васильевна, Я. Н., Belyakov, A. A., Талирович, Т. Б., Черменовна, К. А., Равкатович, Н. В., Levchenko, D. V., & Dakhin, A. N. (2020) · Perspectives of science and education · doi:10.32744/pse.2020.1.1 · Cited by 4
Locus coeruleus-related insula activation is associated with implicit learningPreprint
Dahl, M. J., Li, T., Mather, M., & Werkle‐Bergner, M. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.05.10.653174 · Cited by 4
Rapid dynamics of dorsal raphe serotonin neurons regulate the strength of visual attention
Lehnert, J., Cha, K., Forestell, J., Yang, K., Ma, X., Shariff, S., Britt, J. P., Khadra, A., Cook, E. P., & Krishnaswamy, A. (2026) · Nature Communications · doi:10.1038/s41467-026-70658-y · Cited by 3
Lubbe, R. H. J. V. D., Panek, B., Friehs, M. A., & Asanowicz, D. (2026) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2026.106912 · Cited by 3
Zelionkaitė, I., Ilkevič, E., Briazkalaitė, J., Usonytė, M., Gaižauskaitė, R., & Grikšienė, R. (2025) · Biological Psychology · doi:10.1016/j.biopsycho.2025.109031 · Cited by 4
Closing the gap between mind and brain with the dynamic connectome
Quiroga, R. Q. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2005329117 · Cited by 2
Junho, B. T., & de Oliveira, V. F. (2019) · Archives of Clinical Psychiatry (São Paulo) · doi:10.1590/0101-60830000000218 · Cited by 3
Yegla, B., Joshi, S., Strupp, J., & Parikh, V. (2021) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2021.04.027 · Cited by 3
Todo, M. (2020) · Neuroscience Research · doi:10.1016/j.neures.2020.02.009 · Cited by 3
Behavioral state tunes mouse vision to ethological features through pupil dilationPreprint
Franke, K., Willeke, K. F., Ponder, K., Galdamez, M., Muhammad, T., Patel, S. S., Froudarakis, E., Reimer, J., Sinz, F. H., & Tolias, A. S. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.09.03.458870 · Cited by 3
Reward contingency gates selective cholinergic suppression of amygdala neuronsPreprint
Kimchi, E. Y., Burgos-Robles, A., Matthews, G. A., Chakoma, T. L., Patarino, M., Weddington, J., Siciliano, C. A., Yang, W., Foutch, S., Simons, R., et al. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.02.04.479188 · Cited by 3
Öksüz, H. İ., Yaşartürk, İ., Yıldız, M., ARICI, E. Y., Sotiropoulos, D. J., & Kalogiannakis, M. (2025) · Reading Psychology · doi:10.1080/02702711.2025.2566025 · Cited by 2
Zhang, Z., Ouyang, X., Xie, C., Zeng, L., Fu, Q., Yan, Q., Wang, T., Wang, X., & Zhao, L. (2026) · Frontiers in Neuroscience · doi:10.3389/fnins.2025.1740153 · Cited by 2
Effects of Expectation, Attention, and NMDA Receptor Blockade on Feedforward and Feedback Processing
Noorman, S., Fahrenfort, J. J., Heilbron, M., Sergent, C., Zantvoord, J. B., van Gaal, S., & Stein, T. (2026) · Journal of Neuroscience · doi:10.1523/jneurosci.0674-25.2026 · Cited by 2
He, H., Li, G., Yu, Y., Liu, Y., Li, T., Gao, K., Xi, P., Pollick, F. E., Lu, J., Yin, L., et al. (2026) · ALPHA PSYCHIATRY · doi:10.31083/ap45310 · Cited by 2
Srikoon, S., Khamput, C., Punsrigate, K., & Duangngern, P. (2026) · Social Sciences & Humanities Open · doi:10.1016/j.ssaho.2026.103020 · Cited by 2
Improving Visual Working Memory with Cholinergic Deep Brain Stimulation
Bava, J., Wang, Z., Bick, S. K. B., Englot, D. J., & Constantinidis, C. (2023) · Brain Sciences · doi:10.3390/brainsci13060917 · Cited by 2
Sound-evoked pupil dilation quantifies misophonic symptoms
de Gee, J. W., Marmelstein, L. A., Schwarz-Roman, K., & Rouw, R. (2026) · PLoS ONE · doi:10.1371/journal.pone.0348278 · Cited by 4
Wang, H. (2024) · Adaptive Behavior · doi:10.1177/10597123241302508 · Cited by 2
On the clustering of cognitive learning theories
Mayer, B. O. (2018) · Science for Education Today · doi:10.15293/2226-3365.1802.07 · Cited by 2
Attention-Getting Mechanisms (AGMs): A Personal Journey
Billow, R. M. (2019) · International Journal of Group Psychotherapy · doi:10.1080/00207284.2019.1649984 · Cited by 2
Weng, Y., Kruschwitz, J., Rueda‐Delgado, L. M., Ruddy, K. L., Boyle, R. T., Franzen, L., Serin, E., Nweze, T., Hanson, J. L., Smyth, A., et al. (2024) · eLife · doi:10.7554/elife.97150 · Cited by 10
Catecholaminergic neuromodulation and selective attention jointly shape perceptual decision makingPreprint
Nuiten, S. A., de Gee, J. W., Fahrenfort, J. J., & van Gaal, S. (2023) · eLife · doi:10.7554/elife.87022.1 · Cited by 2
Acetylcholine Modulates the Precision of Prediction Error in the Auditory CortexPreprint
Pérez‐González, D., Lao-Rodríguez, A. B., Aedo, C., & Malmierca, M. S. (2023) · eLife · doi:10.7554/elife.91475.2 · Cited by 2
Weng, Y., Kruschwitz, J., Rueda‐Delgado, L. M., Ruddy, K. L., Boyle, R. T., Franzen, L., Serin, E., Nweze, T., Hanson, J. L., Smyth, A., et al. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.04.03.587900 · Cited by 2
A causal role of the NMDA receptor in recurrent processing during perceptual integration
Noorman, S., Stein, T., Zantvoord, J. B., Fahrenfort, J. J., & van Gaal, S. (2024) · eLife · doi:10.1101/2024.06.10.598193 · Cited by 2
Opposing plasticity mechanisms enhance visual inputs that violate their contextPreprint
Seignette, K., de Kraker, L., Halak, M., Papale, P., Petro, L. S., Petro, L. S., Montijn, J. S., Self, M. W., Larkum, M. E., Roelfsema, P. R., et al. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.06.10.598181 · Cited by 5
Smart, C., Mitchell, A., McCutcheon, F. M., Medcalf, R. L., & Thiele, A. (2023) · iScience · doi:10.1016/j.isci.2023.105947 · Cited by 1
Self-citationCatecholaminergic neuromodulation and selective attention jointly shape perceptual decision-making
Nuiten, S. A., de Gee, J. W., Zantvoord, J. B., Fahrenfort, J. J., & van Gaal, S. (2023) · eLife · doi:10.7554/elife.87022.3 · Cited by 1
Review of Attention Network Evaluation Research
毋, 琳. (2024) · Advances in Psychology · doi:10.12677/ap.2024.148607 · Cited by 1
Molecularly defined cellular atlas of the entire mouse brain with isotropic single-cell resolution
Zhao, M., Zhou, J., Jiang, T., Ren, M., Dou, C., Cai, L., Bao, S., Jia, X., Meng, Z., Tang, F., et al. (2025) · Nature Communications · doi:10.1038/s41467-025-65238-5 · Cited by 1
Genetic mapping identifies Homer1 as a developmental modifier of attention
Gershon, Z., Bonito-Oliva, A., Kanke, M., Terceros, A. A., Rankin, G., Fak, J. J., Harada, Y., Iannone, A. F., Gebremedhin, M., Fabella, B. A., et al. (2025) · Nature Neuroscience · doi:10.1038/s41593-025-02155-2 · Cited by 1
Triple equivalence in modelling insight and creativity: Classical and quantum perspectives
Isomura, T. (2026) · Neuroscience Research · doi:10.1016/j.neures.2026.105025 · Cited by 1
Posselt, L. P., Coll-Marquès, J., Ovrom, S., Jørgensen, S. H., Eliassen, S., Kliem, K., Müller, J., Dalley, J. W., Robbins, T. W., Herborg, F., et al. (2026) · Neuropsychopharmacology · doi:10.1038/s41386-026-02404-3 · Cited by 1
Voluntary Attention Selectively Modulates Omission Responses
Dercksen, T., Widmann, A., & Wetzel, N. (2026) · Human Brain Mapping · doi:10.1002/hbm.70518 · Cited by 1
Bidirectional interactions between neuromodulatory systems and the cerebellum in brain function
Kim, T., Park, H., Jun, S., Park, J., Yamamoto, Y., & Tanaka, K. (2026) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2026.106716 · Cited by 1
Understanding Categorical Learning in Neural Circuits Through the Primary Olfactory Cortex
Stensola, T., & Stensola, H. (2022) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2022.920334 · Cited by 1
Chandler, M. C. (2022) · Current Psychiatry · doi:10.12788/cp.0284 · Cited by 1
Sachse, E. M., & Snyder, A. C. (2023) · European Journal of Neuroscience · doi:10.1111/ejn.15928 · Cited by 1
The role of information in consciousness.
Haladjian, H. H., & Montemayor, C. (2023) · Psychology of Consciousness Theory Research and Practice · doi:10.1037/cns0000363 · Cited by 1
Zhang, D., Huang, Y., Guan, Y., Zhang, X., Pan, P., Yan, X., Lei, X., Tang, M., Ai, K., & Gao, J. (2024) · Scientific Reports · doi:10.1038/s41598-024-80216-5 · Cited by 1
Adrenergic Modulation of Cortical Gain and Sensory Processing in the Mouse Visual Cortex
Cossyleon, R., Lezama, E., Márquez, I., & Treviño, M. (2025) · Brain Sciences · doi:10.3390/brainsci15040406 · Cited by 1
The Effectiveness of EEG-Feedback on Attention in 3D Virtual Environment
Wang, Y., Shen, X., Liu, H., Zhou, T., Merilampi, S. L., & Zou, L. (2019) · Lecture notes in computer science · doi:10.1007/978-3-030-27541-9_9 · Cited by 1
Cognitive model in the structure of pedagogical technology
Васильевна, Я. Н., Koluhambekov, A. S., Tsybulko, A. A., Shirshov, A. G., & Dakhin, A. N. (2020) · Perspectives of science and education · doi:10.32744/pse.2020.3.5 · Cited by 1
Attention-based Assisted Excitation for Salient Object Segmentation.Preprint
Masoudnia, S., Kheirieh, M., Vahabie, A., & Araabi, B. N. (2020) · arXiv (Cornell University) · Cited by 1
A Locus Coeruleus- Dorsal CA1 Dopaminergic Circuit Modulates Memory LinkingPreprint
Chowdhury, A., Luchetti, A., Fernandes, G., Filho, D. A., Kastellakis, G., Tzilivaki, A., Ramirez, E. M., Tran, M. Y., Poirazi, P., & Silva, A. J. (2021) · SSRN Electronic Journal · doi:10.2139/ssrn.3985190 · Cited by 1
Subpopulation Codes Permit Information Modulation Across Cortical StatesPreprint
Getz, M. P., Huang, C., & Doiron, B. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.09.28.509815 · Cited by 1
Acetylcholine Modulates the Precision of Prediction Error in the Auditory CortexPreprint
Pérez‐González, D., Lao-Rodríguez, A. B., Aedo, C., & Malmierca, M. S. (2023) · eLife · doi:10.7554/elife.91475.1 · Cited by 1
Learning enhances behaviorally relevant representations in apical dendritesPreprint
Benezra, S. E., Patel, K., Campos, C. P., Hillman, E. M. C., & Bruno, R. M. (2024) · eLife · doi:10.7554/elife.98349.1 · Cited by 1
2022 roadmap on neuromorphic computing and engineering
Christensen, D. V., Dittmann, R., Linares-Barranco, B., Sebastian, A., Le Gallo, M., Redaelli, A., Slesazeck, S., Mikolajick, T., Spiga, S., Menzel, S., et al. (2022) · Neuromorphic Computing and Engineering · doi:10.1088/2634-4386/ac4a83
Azimi, M., Oemisch, M., & Womelsdorf, T. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/369496
Regulation of modulatory cell activity across olfactory structures in Drosophila melanogasterPreprint
Zhang, X., Coates, K. E., Dacks, A. M., Günay, C., Lauritzen, J. S., Li, F., Calle-Schuler, S. A., Bock, D. D., & Gaudry, Q. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/522177
Multi-Kernel Filtering: An Extension of Bilateral Filtering Using Image Context.Preprint
Liu, F., Feng, J., Yap, P., & Shen, D. G. (2019) · arXiv (Cornell University)
Microscopic and mesoscopic effects of reward uncertainty in monkey fronto-parietal areasPreprint
Taghizadeh, B., Foley, N. C., Karimimehr, S., Cohanpour, M., Semework, M., Sheth, S. A., Lashgari, R., & Gottlieb, J. P. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2019.12.17.879262
Advances in the physiology of primary visual cortex in primates
Hawken, M. J. (2020) · Current Opinion in Physiology · doi:10.1016/j.cophys.2020.07.005
Aedo-Sánchez, C. A. (2020) · Gredos (University of Salamanca) · doi:10.14201/gredos.145489
Attenuated sensory precision and contextual prediction error in persistent depressionPreprint
Bevan, A., Hitchcock, C., Mitchell, D. J., & Dalgleish, T. (2021) · doi:10.31234/osf.io/d8pbc
Ghosh, S., & Maunsell, J. H. R. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.07.30.454515
Editorial: Bottom-Up and Top-Down: Molecules and Circuits That Underlie Chemosensory Behaviors
Chamero, P., Short, S. M., McIntyre, J. C., Meeks, J. P., & Rothermel, M. (2021) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2021.729791
Attentional effects on local V1 microcircuits explain selective V1-V4 communicationPreprint
Katsanevaki, C., Bastos, A. M., Cagnan, H., Bosman, C. A., Friston, K. J., & Fries, P. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.03.14.484223
Selective V1-to-V4 Communication of Attended Stimuli Mediated by Attentional Effects in V1Preprint
Katsanevaki, C., Bastos, A. M., Cagnan, H., Bosman, C. A., Friston, K. J., & Fries, P. (2022) · SSRN Electronic Journal · doi:10.2139/ssrn.4060368
Contribution of the Basal Forebrain to Corticocortical Network InteractionsPreprint
Gombkötő, P., Gielow, M. R., Varsanyi, P., Chavez, C. M., & Záborszky, L. (2019) · SSRN Electronic Journal · doi:10.2139/ssrn.3377362
Sachse, E. M., & Snyder, A. C. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.08.03.502634
Catecholaminergic neuromodulation and selective attention jointly shape perceptual decision-makingPreprint
Nuiten, S. A., de Gee, J. W., Zantvoord, J. B., Fahrenfort, J. J., & van Gaal, S. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.11.03.515022
Kimura, R. (2023) · Neuroscience Research · doi:10.1016/j.neures.2023.05.002
Mishra, W., Kheradpezhouh, E., & Arabzadeh, E. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.06.06.543981
Téllez-Villagra, C. (2023) · Revista de Psiquiatría Infanto-Juvenil · doi:10.31766/revpsij.v40n1a5
Reward contingency gates selective cholinergic suppression of amygdala neuronsPreprint
Kimchi, E. Y., Burgos-Robles, A., Matthews, G. A., Chakoma, T. L., Patarino, M., Weddington, J., Siciliano, C. A., Yang, W., Foutch, S., Simons, R., et al. (2023) · eLife · doi:10.7554/elife.89093.1
Acetylcholine Modulates the Precision of Prediction Error in the Auditory CortexPreprint
Pérez‐González, D., Lao-Rodríguez, A. B., Aedo, C., & Malmierca, M. S. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.08.17.553683
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
Székely, E., Jolicoeur‐Martineau, A., Atkinson, L. R., Levitan, R. D., Steiner, M. S., Lydon, J. E., Fleming, A. S., Kennedy, J. L., & Wazana, A. D. (2023) · doi:10.32920/24135087.v1
Székely, E., Jolicoeur‐Martineau, A., Atkinson, L. R., Levitan, R. D., Steiner, M. S., Lydon, J. E., Fleming, A. S., Kennedy, J. L., & Wazana, A. D. (2023) · doi:10.32920/24135087
Catecholaminergic neuromodulation and selective attention jointly shape perceptual decision-makingPreprint
Nuiten, S. A., de Gee, J. W., Zantvoord, J. B., Fahrenfort, J. J., & van Gaal, S. (2023) · eLife · doi:10.7554/elife.87022.2
Fan, J., Wang, Y., Li, L., He, J., Zhao, Z., Deng, F., Li, G., Li, X., Zhou, Y., Zhao, J., et al. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.04.03.587915
Effect of muscarinic blockade on the speed of attention shifting and learningPreprint
Thiele, A., Milner, A. M., Hall, C., Mayhew, L., Carter, A., & Sanjeev, S. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.05.08.593141
Self-citationDyce, G., Singh, T., Mattingley, J. B., & Arabzadeh, E. (2024) · eLife · doi:10.21203/rs.3.rs-4368226/v1 · Cited by 1
Bakla-Nova, S., & Frolov, Y. P. (2024) · Psychology · doi:10.4236/psych.2024.155042
Weng, Y., Kruschwitz, J., Rueda‐Delgado, L. M., Ruddy, K. L., Boyle, R. T., Franzen, L., Serin, E., Nweze, T., Hanson, J. L., Smyth, A., et al. (2024) · eLife · doi:10.7554/elife.97150.1
Weng, Y., Kruschwitz, J., Rueda‐Delgado, L. M., Ruddy, K. L., Boyle, R. T., Franzen, L., Serin, E., Nweze, T., Hanson, J. L., Smyth, A., et al. (2024) · eLife · doi:10.7554/elife.97150.2
Noorman, S., Stein, T., Zantvoord, J. B., Fahrenfort, J. J., & van Gaal, S. (2024) · eLife · doi:10.7554/elife.100530.1
Cholinergic feedback for context-specific modulation of sensory representationsPreprint
Yu, B., Yue, Y., Ren, C., Yun, R., Lim, B. K., & Komiyama, T. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.09.10.612274
Serotonergic neurons in the dorsal raphe regulate visual attentionPreprint
Lehnert, J., Cha, K., Forestell, J., Yang, K., Ma, X., Britt, J. P., Khadra, A., Cook, E. P., & Krishnaswamy, A. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.09.29.615662
Magliacano, A., Scarano, G., Fasano, C., Mannini, A., Liuzzi, P., Finocchi, A., Estraneo, A., & on behalf of the Blinking in DoC study group (2024) · Neurorehabilitation · doi:10.3233/nre-240127
Attentional processing in the rat dorsal posterior parietal cortex
Heimer‐McGinn, V., Wise, T. B., Halter, E. R., Martin, D., & Templer, V. L. (2024) · Neurobiology of Learning and Memory · doi:10.1016/j.nlm.2024.108004
Metadata
- Authors
- Thiele, A., & Bellgrove, M. A.
- Affiliations
- Newcastle University (GB)
- Monash University (AU)
- Corresponding author
- Thiele, Alexander
- Venue
- Neuron
- Publisher
- Elsevier BV
- Published
- 2018-02
- Volume
- 97
- Issue
- 4
- Pages
- 769-785
- ISSN
- 0896-6273 (ISSN-L)
- PMC
- PMC6204752
- OpenAlex
- W2788231085
- Cited by
- 350
- References
- 215
- Citations by year
- 2026: 36 · 2025: 33 · 2024: 54 · 2023: 52 · 2022: 45 · 2021: 50 · 2020: 32 · 2019: 35 · 2018: 13
- FWCI
- 4.34
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Neuron (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Monash University Research Portal (Monash University) (submittedVersion, cc-by)
- Newcastle University ePrints (Newcastle Univesity) (cc-by)
- Funders
- Wellcome Trust (093104)
- MRC (MR/P013031/1)
- NC3R (NC/P000940/1)
- Australian Research Council (FT130101488, DP150100986)
- Newcastle University
- Monash University
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Keywords
- attention, neuromodulation, attention deficits, single neurons, neural circuits, attentional control, attention allocation
- MeSH terms
- Acetylcholine, Animals, Attention, Biogenic Amines, Brain, Dopamine, Humans, Neural Pathways, Neurons, Norepinephrine, Serotonin
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