The DOI matches its Crossref record; 59 of the 60 references it cites were found in a registry or an index.
Attention, Reward, and Information Seeking
Open accessAbstract
Decision making is thought to be guided by the values of alternative options and involve the accumulation of evidence to an internal bound. However, in natural behavior, evidence accumulation is an active process whereby subjects decide when and which sensory stimulus to sample. These sampling decisions are naturally served by attention and rapid eye movements (saccades), but little is known about how saccades are controlled to guide future actions. Here we review evidence that was discussed at a recent symposium, which suggests that information selection involves basal ganglia and cortical mechanisms and that, across different contexts, it is guided by two central factors: the gains in reward and gains in information (uncertainty reduction) associated with sensory cues.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
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?
In the citing paper
“Research has shown that because agents find pleasure in reducing manageable uncertainty, they are attracted to just-uncertain-enough environments”
From Active inference goes to school: the importance of active learning in the age of large language models (2024) · cites this paper as [53]
Citations
Cites
The magical number 4 in short-term memory: A reconsideration of mental storage capacity
Cowan, N. (2001) · Behavioral and Brain Sciences · doi:10.1017/s0140525x01003922 · Cited by 6,779
The Neural Basis of Decision Making
Gold, J. I., & Shadlen, M. N. (2007) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.29.051605.113038 · Cited by 3,764
Visual fixations and the computation and comparison of value in simple choice
Krajbich, I., Armel, C., & Rangel, A. (2010) · Nature Neuroscience · doi:10.1038/nn.2635 · Cited by 1,408
Self-citationRole of the Basal Ganglia in the Control of Purposive Saccadic Eye Movements
Hikosaka, O., Takikawa, Y., & Kawagoe, R. (2000) · Physiological Reviews · doi:10.1152/physrev.2000.80.3.953 · Cited by 1,334
Self-citationSharot, T. (2011) · Current Biology · doi:10.1016/j.cub.2011.10.030 · Cited by 1,187
Value-driven attentional capture
Anderson, B. A., Laurent, P. A., & Yantis, S. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1104047108 · Cited by 1,098
The representation of visual salience in monkey parietal cortex
Gottlieb, J. P., Kusunoki, M., & Goldberg, M. E. (1998) · Nature · doi:10.1038/35135 · Cited by 1,078
Self-citationLongitudinal topography and interdigitation of corticostriatal projections in the rhesus monkey
Selemon, L. D., & Goldman-Rakic, P. S. (1985) · Journal of Neuroscience · doi:10.1523/jneurosci.05-03-00776.1985 · Cited by 1,074
Attention, intention, and priority in the parietal lobe
Bisley, J. W., & Goldberg, M. E. (2010) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-060909-152823 · Cited by 1,043
The Neurobiology of Decision: Consensus and Controversy
Kable, J. W., & Glimcher, P. W. (2009) · Neuron · doi:10.1016/j.neuron.2009.09.003 · Cited by 928
Cited by
Sorted by citations
Items 101–167 of 167
Laser stimulation of the skin for quantitative study of decision-making and motivation
Pai, J., Ogasawara, T., Bromberg-Martin, E. S., Ogasawara, K., Gereau, R. W., & Monosov, I. E. (2022) · Cell Reports Methods · doi:10.1016/j.crmeth.2022.100296 · Cited by 9
Molinero, S., Giménez‐Fernández, T., López, F. J., Carretié, L., & Luque, D. (2021) · Psychophysiology · doi:10.1111/psyp.13795 · Cited by 10
Striatal Dopamine Represents Valence on Dynamic Regional Scales
Bornhoft, K. N., Prohofsky, J., O’Neal, T. J., Wolff, A. R., & Saunders, B. T. (2025) · Journal of Neuroscience · doi:10.1523/jneurosci.1551-24.2025 · Cited by 11
Yin, J., Liu, L., & Ni, Y. (2025) · Journal of Hospitality and Tourism Management · doi:10.1016/j.jhtm.2025.101338 · Cited by 7
Brand, T. K., Schütz, A. C., Müller, H., Maurer, H., Hegele, M., & Maurer, L. K. (2024) · Journal of Neurophysiology · doi:10.1152/jn.00052.2024 · Cited by 7
Eissa, T. L., Gold, J. I., Josić́, K., & Kilpatrick, Z. P. (2022) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1010323 · Cited by 9
Novel names extend for how long preschool children sample visual information
Carvalho, P. F., Vales, C., Fausey, C. M., & Smith, L. B. (2017) · Journal of Experimental Child Psychology · doi:10.1016/j.jecp.2017.12.002 · Cited by 7
Curiosity from the Perspective of Systems NeurosciencePreprint
Cervera, R. L., Wang, M. Z., & Hayden, B. Y. (2020) · doi:10.31234/osf.io/znrbf · Cited by 7
Kamakoty, J., & Singh, S. R. (2023) · SAGE Open · doi:10.1177/21582440231200308 · Cited by 6
Bülbül, I. A., & Özdemir, S. (2024) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-024-06596-9 · Cited by 7
Micropursuit and the control of attention and eye movements in dynamic environments
Wang, J. Z., & Kowler, E. (2021) · Journal of Vision · doi:10.1167/jov.21.8.6 · Cited by 6
The role of implicit perceptual-motor costs in the integration of information across graph and text
Rubinstein, J. F., & Kowler, E. (2018) · Journal of Vision · doi:10.1167/18.13.16 · Cited by 6
McColeman, C. M., Thompson, J. J., Anvari, N., Azmand, S. J., Barnes, J., Barrett, R., Byliris, R., Chen, Y., Dolguikh, K., Fischler, K., et al. (2020) · Attention Perception & Psychophysics · doi:10.3758/s13414-020-02019-w · Cited by 6
Salsano, I., Santangelo, V., & Macaluso, E. (2021) · Brain Structure and Function · doi:10.1007/s00429-021-02221-y · Cited by 6
Emotions and eye-tracking of differing age groups searching on e-book wall
Wu, K.-C., & Huang, Y.-H. (2018) · Aslib Journal of Information Management · doi:10.1108/ajim-01-2018-0017 · Cited by 5
Theoretical Mechanisms of Paradoxical Choices Involving Information
González, V. V., Izquierdo, A., & Blaisdell, A. P. (2023) · Comparative Cognition & Behavior Reviews · doi:10.3819/ccbr.2023.180002 · Cited by 5
Silva, V. D. E., & Marigold, D. S. (2024) · Scientific Reports · doi:10.1038/s41598-024-82185-1 · Cited by 4
Impatience for information: Curiosity is here today, gone tomorrow
Molnár, A., & Golman, R. (2023) · Journal of Behavioral Decision Making · doi:10.1002/bdm.2360 · Cited by 7
Multimodal fusion for anticipating human decision performance
Tran, X.-T., Do, T., Pal, N. R., Jung, T., & Lin, C. (2024) · Scientific Reports · doi:10.1038/s41598-024-63651-2 · Cited by 4
Zurn, P., Zhou, D., Lydon‐Staley, D. M., & Bassett, D. S. (2022) · Cambridge University Press eBooks · doi:10.1017/9781009026949.013 · Cited by 6
Attention, Information-Seeking, and Active Sampling
Dey, A., & Gottlieb, J. P. (2019) · Cambridge University Press eBooks · doi:10.1017/9781316823279.010 · Cited by 4
Self-citationHow curiosity and uncertainty shape children’s information seeking behaviors
Wu, K.-C., & Chen, H.-C. (2016) · Library Hi Tech · doi:10.1108/lht-11-2015-0110 · Cited by 3
Keeping an Eye Out for Change: Anxiety Disrupts Adaptive Resolution of Policy Uncertainty
Lamba, A., Frank, M. J., & FeldmanHall, O. (2023) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2024.07.015 · Cited by 5
Brand, T. K., Schütz, A. C., Müller, H., Maurer, H., Hegele, M., & Maurer, L. K. (2025) · Journal of Neurophysiology · doi:10.1152/jn.00072.2025 · Cited by 3
Bahmani, H., Li, Q., Logothetis, N. K., & Keliris, G. A. (2019) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2019.00009 · Cited by 3
Task-relevance is causal in eye movement learning and adaptation
Souto, D., & Schütz, A. C. (2020) · The Psychology of learning and motivation/The psychology of learning and motivation · doi:10.1016/bs.plm.2020.06.002 · Cited by 3
Variable search for orientation, uniformly optimal search for identity.
Nowakowska, A., Clarke, A. D. F., Reuther, J., & Hunt, A. R. (2023) · Journal of Experimental Psychology General · doi:10.1037/xge0001509 · Cited by 3
Addiction beyond pharmacological effects: the role of environment complexity and bounded rationalityPreprint
Ognibene, D., Fiore, V. G., & Gu, X. (2017) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/179739 · Cited by 3
Wang, L., Quaia, C., Elliott, K., Cover, K. K., & Krauzlis, R. J. (2026) · Journal of Neuroscience · doi:10.1523/jneurosci.1187-25.2025 · Cited by 2
Learning to attend in a brain-inspired deep neural network
Adeli, H., & Zelinsky, G. J. (2018) · Conference on Cognitive Computational Neuroscience (CCN) · doi:10.32470/ccn.2018.1264-0 · Cited by 4
Todd, T. N., Lakhiwal, A., Bala, H., Léger, P., Kamouni, I. E., & Boasen, J. (2025) · Lecture notes in information systems and organisation · doi:10.1007/978-3-031-71385-9_1 · Cited by 2
Is AI Augmenting or Substituting Humans?
Gaczek, P., Leszczyński, G., & Zieliński, M. (2021) · International Journal of Technology and Human Interaction · doi:10.4018/ijthi.293193 · Cited by 2
Zou, J., & Ding, N. (2021) · Research Square · doi:10.21203/rs.3.rs-813994/v1 · Cited by 2
The effect of acute physical fatigue on gaze behavior during tennis players' service return
Deng, J., Wang, H., Zhang, L., Fu, T., Liu, D., Xu, C., & Zhu, Y. (2025) · Psychology of sport and exercise · doi:10.1016/j.psychsport.2025.102856 · Cited by 1
Sengupta, A., & Sridharan, D. (2025) · PLoS Biology · doi:10.1371/journal.pbio.3003234 · Cited by 1
Psilocybin-induced modulation of visual salience processing
Muller, S. L., Cavanna, F., de la Fuente, L. A., Bruno, N. M., D’Amelio, T. A., Pallavicini, C., & Tagliazucchi, E. (2025) · Neuroscience of Consciousness · doi:10.1093/nc/niaf060 · Cited by 2
The role of selective attention in value-modulated attentional capture
Garre-Frutos, F., Vadillo, M. A., Theeuwes, J., van Moorselaar, D., & Lupiáñez, J. (2026) · Psychonomic Bulletin & Review · doi:10.3758/s13423-026-02964-x · Cited by 1
A neural model of the frontal eye fields with reward-based learning
Ye, W., Liu, S., Liu, X., & Yu, Y. (2016) · Neural Networks · doi:10.1016/j.neunet.2016.05.001 · Cited by 1
Practical and Ethical Issues in Pediatric Psychopharmacology: Introductory Considerations
Suk, J.-W., Vaughan, B. S., Mahato, K., & Hwang, S. (2021) · Psychiatric Annals · doi:10.3928/00485713-20210913-01 · Cited by 1
Human attention during goal-directed reading comprehension relies on task optimization
Zou, J., Zhang, Y., Li, J., Tian, X., & Ding, N. (2023) · eLife · doi:10.7554/elife.87197 · Cited by 2
Mao, H., Yuan, Y., & Si, J. (2018) · Journal of Neurophysiology · doi:10.1152/jn.00950.2016 · Cited by 2
Social Cognition, the Amygdala, and Autism
Adolphs, R. (2018) · Wiley eBooks · doi:10.1002/9781119362081.ch1 · Cited by 1
Edgework: Viewing curiosity as fundamentally relationalPreprint
Zurn, P., Zhou, D., Lydon‐Staley, D. M., & Bassett, D. S. (2021) · doi:10.31234/osf.io/crzae · Cited by 1
Vericel, M., Baraduc, P., Duhamel, J., & Wirth, S. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.11.06.565451 · Cited by 1
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
Self-citationZamora, D., & Javier, F. (2020)
Bottom-up but not Top-down Attention Dominates the Value Representation in the Orbitofrontal CortexPreprint
Zhang, W., Xie, Y., & Yang, T. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.06.14.448326
Observing and influencing preferences in real time. Gaze, morality and dynamic decision-making
Pärnamets, P. (2015) · Lund University Publications (Lund University)
Task Optimization Leads to Human-like Top-down and Bottom-up Attention during Reading ComprehensionPreprint
Zou, J., & Ding, N. (2021) · Research Square · doi:10.21203/rs.3.rs-1034025/v1
The Seeking for Meaningless Feedback in the Decision Making
高, 子. (2022) · Advances in Social Sciences · doi:10.12677/ass.2022.113134
Hayden, B. Y. (2019) · Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature · doi:10.3410/f.734072537.793565482
Modulation of sensory processing under different modes of reward cueing
Antono, J. E. (2023) · eDiss (Georg-August-Universität Göttingen) · doi:10.53846/goediss-9824
Human Attention during Goal-directed Reading Comprehension Relies on Task OptimizationPreprint
Zou, J., Zhang, Y., Li, J., Tian, X., & Ding, N. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.04.25.538252
Human Attention during Goal-directed Reading Comprehension Relies on Task OptimizationPreprint
Zou, J., Zhang, Y., Li, J., Tian, X., & Ding, N. (2023) · eLife · doi:10.7554/elife.87197.1
Human Attention during Goal-directed Reading Comprehension Relies on Task OptimizationPreprint
Zou, J., Zhang, Y., Li, J., Tian, X., & Ding, N. (2023) · eLife · doi:10.7554/elife.87197.2
Zou, J., Zhang, Y., Li, J., Tian, X., & Ding, N. (2023) · eLife · doi:10.7554/elife.87197.2.sa4
Valence ambiguity dynamically shapes striatal dopamine heterogeneityPreprint
Bornhoft, K. N., Prohofsky, J., O’Neal, T. J., Wolff, A. R., & Saunders, B. T. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.05.17.594692
Timing of reward cues alters the interaction between reward and interest on memory over time
Hu, Z., & Yang, J. (2025) · npj Science of Learning · doi:10.1038/s41539-025-00374-7
The Value of Choice Facilitates Subsequent Memory Across DevelopmentPreprint
Hartley, C., & Katzman, P. L. (2020) · OSF Preprints (OSF Preprints)
Predictive and instructive cerebellar encoding of dopamine reward drives motivated behaviorPreprint
Filio, B. A., Otchere, A., Srinivasan, S., Thota, S., Drake, L., Ramos, L., Maurus, P., & Wagner, M. J. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.02.02.703324
Saccadic latencies depend on functional relations with the environment
Vullings, C. (2018) · theses.fr (ABES) · doi:10.70675/8ecbbf81zf4dez431fz9fe4zb7f337ae5224
When, where, and for how long: What drives gaze behavior during goal-directed motor action?
Marigold, D. S. (2026) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2026.106740
Neural correlates of information gain during search revealed by fMRI
Paisalnan, S., Moshfeghi, Y., & Pollick, F. E. (2026) · iScience · doi:10.1016/j.isci.2026.117445
Guérin-Dugué, A., Salomone, M., & Campagne, A. (2026) · Journal of Eye Movement Research · doi:10.3390/jemr19050108
Metadata
- Authors
- Gottlieb, J., Hayhoe, M., Hikosaka, O., & Rangel, A.
- Affiliations
- Columbia University (US)
- The University of Texas at Austin (US)
- National Institutes of Health (US)
- California Institute of Technology (US)
- Venue
- The Journal of Neuroscience
- Publisher
- Society for Neuroscience
- Published
- 2014-11-12
- Volume
- 34
- Issue
- 46
- Pages
- 15497-15504
- ISSN
- 0270-6474 (ISSN-L)
- 1529-2401
- PMC
- PMC4228145
- OpenAlex
- W2022076766
- Cited by
- 168
- References
- 60
- Citations by year
- 2026: 6 · 2025: 9 · 2024: 11 · 2023: 20 · 2022: 13 · 2021: 19 · 2020: 13 · 2019: 15 · 2018: 13 · 2017: 18 · 2016: 17 · 2015: 13
- FWCI
- 1.54
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Journal of Neuroscience (publishedVersion, cc-by-nc-sa)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- CaltechAUTHORS (California Institute of Technology) (submittedVersion, cc-by-nc-sa)
- Funders
- National Institute on Aging (R21AG038866)
- National Institute of Mental Health (P50MH094258)
- National Eye Institute (R01EY005729)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Keywords
- attention, reward, information seeking, decision-making, evidence accumulation, saccades, rapid eye movements, basal ganglia, cortical control, uncertainty reduction
- MeSH terms
- Animals, Attention, Basal Ganglia, Cerebral Cortex, Choice Behavior, Humans, Reward, Saccades, Information Seeking Behavior
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