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.
Integrity signals
Registry
Cites
Statistics
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?
Because agents find pleasure in reducing manageable uncertainty, they are attracted to just-uncertain-enough environments.
“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]
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 · see citing works
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 · see citing works
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 · see citing works
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 1,287 · see citing works
Self-citationSharot, T. (2011) · Current Biology · doi:10.1016/j.cub.2011.10.030 · Cited by 1,187 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
Neuronal Activity in the Lateral Intraparietal Area and Spatial Attention
Bisley, J. W., & Goldberg, M. E. (2003) · Science · doi:10.1126/science.1077395 · Cited by 821 · see citing works
Eye guidance in natural vision: reinterpreting salience
Tatler, B. W., Hayhoe, M. M., Land, M. F., & Ballard, D. H. (2011) · Journal of Vision · doi:10.1167/11.5.5 · Cited by 775 · see citing works
Self-citationKrajbich, I. M., & Rangel, A. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1101328108 · Cited by 732 · see citing works
Self-citationA computational model of action selection in the basal ganglia. I. A new functional anatomy
GURNEY, K. N., Prescott, T. J., & Redgrave, P. (2001) · Biological Cybernetics · doi:10.1007/pl00007984 · Cited by 633 · see citing works
Expectation of reward modulates cognitive signals in the basal ganglia
Kawagoe, R., Takikawa, Y., & Hikosaka, O. (1998) · Nature Neuroscience · doi:10.1038/1625 · Cited by 632 · see citing works
Self-citationChoosing the greater of two goods: neural currencies for valuation and decision making
Sugrue, L. P., Corrado, G. S., & Newsome, W. T. (2005) · Nature Reviews Neuroscience · doi:10.1038/nrn1666 · Cited by 536 · see citing works
Hikosaka, O., & Wurtz, R. H. (1985) · Journal of Neurophysiology · doi:10.1152/jn.1985.53.1.292 · Cited by 478 · see citing works
Self-citationA visual salience map in the primate frontal eye field
Thompson, K. G., & Bichot, N. P. (2005) · Progress in Brain Research · doi:10.1016/s0079-6123(04)47019-8 · Cited by 431 · see citing works
Biasing simple choices by manipulating relative visual attention
Armel, K. C., Beaumel, A., & Rangel, A. (2008) · Judgment and Decision Making · doi:10.1017/s1930297500000413 · Cited by 420 · see citing works
Self-citationNeuronal representations of cognitive state: reward or attention?
Maunsell, J. H. R. (2004) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2004.04.003 · Cited by 404 · see citing works
Relative visual saliency differences induce sizable bias in consumer choice
Milosavljevic, M., Navalpakkam, V., Christof Koch, A., & Rangel, A. (2011) · Journal of Consumer Psychology · doi:10.1016/j.jcps.2011.10.002 · Cited by 396 · see citing works
Self-citationBasal ganglia orient eyes to reward
Hikosaka, O., Nakamura, K., & Nakahara, H. (2006) · Journal of Neurophysiology · doi:10.1152/jn.00458.2005 · Cited by 377 · see citing works
Self-citationThe Attentional Drift-Diffusion Model Extends to Simple Purchasing Decisions
Krajbich, I. M., Lu, D., Camerer, C. F., & Rangel, A. (2012) · Frontiers in Psychology · doi:10.3389/fpsyg.2012.00193 · Cited by 362 · see citing works
Self-citationRewards teach visual selective attention
Chelazzi, L., Perlato, A., Santandrea, E., & Della Libera, C. (2013) · Vision Research · doi:10.1016/j.visres.2012.12.005 · Cited by 354 · see citing works
Parthasarathy, H. B., Schall, J. D., & Graybiel, A. M. (1992) · Journal of Neuroscience · doi:10.1523/jneurosci.12-11-04468.1992 · Cited by 353 · see citing works
Visual and oculomotor selection: links, causes and implications for spatial attention.
Awh, E., Armstrong, K. M., & Moore, T. (2006) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2006.01.001 · Cited by 340 · see citing works
Lim, S.-L., O'Doherty, J. P., & Rangel, A. (2011) · The Journal of Neuroscience · doi:10.1523/jneurosci.1246-11.2011 · Cited by 329 · see citing works
Self-citationLearning to Attend and to Ignore Is a Matter of Gains and Losses
Della Libera, C., & Chelazzi, L. (2009) · Psychological Science · doi:10.1111/j.1467-9280.2009.02360.x · Cited by 329 · see citing works
Saint‐Cyr, J. A., Ungerleider, L. G., & Desimone, R. (1990) · The Journal of Comparative Neurology · doi:10.1002/cne.902980202 · Cited by 319 · see citing works
Modulation of saccadic eye movements by predicted reward outcome
Takikawa, Y., Kawagoe, R., Itoh, H., Nakahara, H., & Hikosaka, O. (2002) · Experimental Brain Research · doi:10.1007/s00221-001-0928-1 · Cited by 287 · see citing works
Self-citationDistinct neural mechanisms of distractor suppression in the frontal and parietal lobe
Suzuki, M., & Gottlieb, J. (2013) · Nature Neuroscience · doi:10.1038/nn.3282 · Cited by 281 · see citing works
Self-citationPrefrontal contributions to visual selective attention
Squire, R. F., Noudoost, B., Schafer, R. J., & Moore, T. (2013) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-062111-150439 · Cited by 260 · see citing works
Towal, R. B., Mormann, M. M., & Christof Koch, A. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1304429110 · Cited by 254 · see citing works
Attention, learning, and the value of information
Gottlieb, J. (2012) · Neuron · doi:10.1016/j.neuron.2012.09.034 · Cited by 241 · see citing works
Self-citationReward-Dependent Gain and Bias of Visual Responses in Primate Superior Colliculus
Ikeda, T., & Hikosaka, O. (2003) · Neuron · doi:10.1016/s0896-6273(03)00464-1 · Cited by 233 · see citing works
Self-citationReward modulates attention independently of action value in posterior parietal cortex
Peck, C. J., Jangraw, D. C., Suzuki, M., Efem, R., & Gottlieb, J. (2009) · The Journal of Neuroscience · doi:10.1523/jneurosci.1929-09.2009 · Cited by 219 · see citing works
Self-citationDistinct Basal Ganglia Circuits Controlling Behaviors Guided by Flexible and Stable Values
Kim, H. F., & Hikosaka, O. (2013) · Neuron · doi:10.1016/j.neuron.2013.06.044 · Cited by 214 · see citing works
Self-citationRole of Primate Substantia Nigra Pars Reticulata in Reward-Oriented Saccadic Eye Movement
Sato, M., & Hikosaka, O. (2002) · Journal of Neuroscience · doi:10.1523/jneurosci.22-06-02363.2002 · Cited by 191 · see citing works
Self-citationReward Guides Vision when It's Your Thing: Trait Reward-Seeking in Reward-Mediated Visual Priming
Hickey, C., Chelazzi, L., & Theeuwes, J. (2010) · PLoS ONE · doi:10.1371/journal.pone.0014087 · Cited by 164 · see citing works
What and Where Information in the Caudate Tail Guides Saccades to Visual Objects
Yamamoto, S., Monosov, I. E., Yasuda, M., & Hikosaka, O. (2012) · Journal of Neuroscience · doi:10.1523/jneurosci.0828-12.2012 · Cited by 130 · see citing works
Self-citationIn Monkeys Making Value-Based Decisions, LIP Neurons Encode Cue Salience and Not Action Value
Leathers, M. L., & Olson, C. R. (2012) · Science · doi:10.1126/science.1226405 · Cited by 129 · see citing works
Responses of striatal neurons in the behaving monkey. 2. Visual processing in the caudal neostriatum
Caan, W., Perrett, D. I., & Rolls, E. T. (1984) · Brain Research · doi:10.1016/0006-8993(84)90735-2 · Cited by 127 · see citing works
Modeling Task Control of Eye Movements
Hayhoe, M., & Ballard, D. H. (2014) · Current Biology · doi:10.1016/j.cub.2014.05.020 · Cited by 125 · see citing works
Self-citationYamamoto, S., Kim, H. F., & Hikosaka, O. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.0318-13.2013 · Cited by 118 · see citing works
Self-citationKori, A. A., Miyashita, N., Kato, M., Hikosaka, O., Usui, S., & Matsumura, M. (1995) · Journal of Neuroscience · doi:10.1523/jneurosci.15-01-00928.1995 · Cited by 118 · see citing works
Self-citationModeling embodied visual behaviors
Sprague, N. R., Ballard, D. H., & Robinson, A. E. (2007) · ACM Transactions on Applied Perception · doi:10.1145/1265957.1265960 · Cited by 114 · see citing works
Robust Representation of Stable Object Values in the Oculomotor Basal Ganglia
Yasuda, M., Yamamoto, S., & Hikosaka, O. (2012) · Journal of Neuroscience · doi:10.1523/jneurosci.3438-12.2012 · Cited by 103 · see citing works
Self-citationEffects of caudate nucleus stimulation on substantia nigra cell activity in monkey
Hikosaka, O., Sakamoto, M., & Miyashita, N. (1993) · Experimental Brain Research · doi:10.1007/bf00227139 · Cited by 98 · see citing works
Self-citationControl of attention and gaze in complex environments
Jovancevic, J., Sullivan, B. T., & Hayhoe, M. (2006) · Journal of Vision · doi:10.1167/6.12.9 · Cited by 96 · see citing works
Self-citationResponses of cells in the tail of the caudate nucleus during visual discrimination learning
Brown, V. J., Desimone, R., & Mishkin, M. (1995) · Journal of Neurophysiology · doi:10.1152/jn.1995.74.3.1083 · Cited by 90 · see citing works
Hikosaka, O., Yamamoto, S., Yasuda, M., & Kim, H. F. (2013) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2013.07.001 · Cited by 85 · see citing works
Self-citationThe role of uncertainty and reward on eye movements in a virtual driving task
Sullivan, B. T., Johnson, L., Rothkopf, C. A., Ballard, D., & Hayhoe, M. (2012) · Journal of Vision · doi:10.1167/12.13.19 · Cited by 81 · see citing works
Self-citationKim, H. F., Ghazizadeh, A., & Hikosaka, O. (2014) · Frontiers in Neuroanatomy · doi:10.3389/fnana.2014.00120 · Cited by 75 · see citing works
Self-citationNovelty Enhances Visual Salience Independently of Reward in the Parietal Lobe
Foley, N. C., Jangraw, D. C., Peck, C., & Gottlieb, J. P. (2014) · Journal of Neuroscience · doi:10.1523/jneurosci.4171-13.2014 · Cited by 63 · see citing works
Self-citationControl of gaze while walking: Task structure, reward, and uncertainty
Tong, M. H., Zohar, O., & Hayhoe, M. (2017) · Journal of Vision · doi:10.1167/17.1.28 · Cited by 53 · see citing works
Self-citationMultistable binocular feature-integrated percepts are frozen by intermittent presentation
Kang, P., & Shevell, S. K. (2011) · Journal of Vision · doi:10.1167/11.1.5 · Cited by 42 · see citing works
Distractors slow information accumulation in simple feature search
Kent, C. D., Howard, C. J., & Gilchrist, I. D. (2012) · Journal of Vision · doi:10.1167/12.1.13 · Cited by 28 · see citing works
Automatic Control of Visual Selection
Theeuwes, J. (2012) · Nebraska Symposium on Motivation/The Nebraska symposium on motivation · doi:10.1007/978-1-4614-4794-8_3 · Cited by 13 · see citing works
The effects of task and uncertainty on gaze while walking
Tong, M. H., & Hayhoe, M. (2013) · Journal of Vision · doi:10.1167/13.9.514 · Cited by 1 · see citing works
Self-citation
Flagged first, then by citations
1 of the 60 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
Diffusion decision model: Current issues and history
Ratcliff, R., Smith, P. L., Brown, S. D., & McKoon, G. (2016) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2016.01.007 · Cited by 1,630 · see citing works
“This and other diffusion models have been used to account for, among other things, value-based decision, social choice, and purchasing decisions [150,152,153,157,207–210].”
MethodThe Psychology and Neuroscience of Curiosity
Kidd, C., & Hayden, B. Y. (2015) · Neuron · doi:10.1016/j.neuron.2015.09.010 · Cited by 1,026 · see citing works
Towards a neuroscience of active sampling and curiosity
Gottlieb, J., & Oudeyer, P.-Y. (2018) · Nature Reviews Neuroscience · doi:10.1038/s41583-018-0078-0 · Cited by 494 · see citing works
Self-citationA Closer Look at the Hippocampus and Memory
Voss, J. L., Bridge, D. J., Cohen, N. J., & Walker, J. A. (2017) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2017.05.008 · Cited by 272 · see citing works
Triple dissociation of attention and decision computations across prefrontal cortex
Hunt, L. T., Malalasekera, W. M. N., de Berker, A. O., Miranda, B., Farmer, S. F., Behrens, T. E. J., & Kennerley, S. W. (2018) · Nature Neuroscience · doi:10.1038/s41593-018-0239-5 · Cited by 222 · see citing works
Intrinsic Valuation of Information in Decision Making under Uncertainty
Bennett, D., Bode, S., Brydevall, M., Warren, H. A., & Murawski, C. (2016) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1005020 · Cited by 188 · see citing works
Influence of reward motivation on human declarative memory
Lombard, E., Bavelier, D., & Schwartz, S. (2015) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2015.11.015 · Cited by 174 · see citing works
Noonan, M. P., Chau, B. K. H., Rushworth, M. F. S., & Fellows, L. K. (2017) · The Journal of Neuroscience · doi:10.1523/jneurosci.0692-17.2017 · Cited by 167 · see citing works
Duan, H., Fernández, G., van Dongen, E. V., & Kohn, N. (2020) · Brain Structure and Function · doi:10.1007/s00429-020-02074-x · Cited by 170 · see citing works
Eye movements reveal epistemic curiosity in human observers
Baranès, A., Oudeyer, P., & Gottlieb, J. P. (2015) · Vision Research · doi:10.1016/j.visres.2015.10.009 · Cited by 136 · see citing works
Self-citationThe Demand for, and Avoidance of, Information
Golman, R., Loewenstein, G. F., Molnár, A., & Saccardo, S. (2021) · Management Science · doi:10.1287/mnsc.2021.4244 · Cited by 97 · see citing works
Organization and evolution of parieto-frontal processing streams in macaque monkeys and humans
Caminiti, R., Innocenti, G. M., & Battaglia‐Mayer, A. (2015) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2015.06.014 · Cited by 95 · see citing works
The Dopamine Prediction Error: Contributions to Associative Models of Reward Learning
Nasser, H. M., Calu, D. J., Schoenbaum, G. M., & Sharpe, M. J. (2017) · Frontiers in Psychology · doi:10.3389/fpsyg.2017.00244 · Cited by 89 · see citing works
Konovalov, A., & Krajbich, I. M. (2016) · Nature Communications · doi:10.1038/ncomms12438 · Cited by 86 · see citing works
Parietal neurons encode expected gains in instrumental information
Foley, N. C., Kelly, S. P., Mhatre, H., Lopes, M. C., & Gottlieb, J. P. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1613844114 · Cited by 76 · see citing works
Self-citationMini-review: Prediction errors, attention and associative learning
Holland, P. C., & Schiffino, F. L. (2016) · Neurobiology of Learning and Memory · doi:10.1016/j.nlm.2016.02.014 · Cited by 77 · see citing works
Curiosity, Information Gaps, and the Utility of KnowledgePreprint
Golman, R., & Loewenstein, G. F. (2012) · SSRN Electronic Journal · doi:10.2139/ssrn.2149362 · Cited by 75 · see citing works
Caminiti, R., Borra, E., Visco‐Comandini, F., Battaglia‐Mayer, A., Averbeck, B. B., & Luppino, G. (2017) · eNeuro · doi:10.1523/eneuro.0306-16.2017 · Cited by 74 · see citing works
Parietal neurons encode information sampling based on decision uncertainty
Horan, M., Daddaoua, N., & Gottlieb, J. P. (2019) · Nature Neuroscience · doi:10.1038/s41593-019-0440-1 · Cited by 71 · see citing works
Self-citationFeature-specific prediction errors and surprise across macaque fronto-striatal circuits
Oemisch, M., Westendorff, S., Azimi, M., Hassani, S. A., Ardid, S., Tiesinga, P. H. E., & Womelsdorf, T. (2019) · Nature Communications · doi:10.1038/s41467-018-08184-9 · Cited by 67 · see citing works
Prioritizing pleasure and pain: attentional capture by reward-related and punishment-related stimuli
Watson, P., Pearson, D., Wiers, R. W. H. J., & Pelley, M. E. L. (2019) · Current Opinion in Behavioral Sciences · doi:10.1016/j.cobeha.2018.12.002 · Cited by 68 · see citing works
Value-based attentional capture influences context-dependent decision-making
Itthipuripat, S., Cha, K., Rangsipat, N., & Serences, J. T. (2015) · Journal of Neurophysiology · doi:10.1152/jn.00343.2015 · Cited by 64 · see citing works
Components of reward-driven attentional capture
Sha, L. Z., & Jiang, Y. V. (2015) · Attention Perception & Psychophysics · doi:10.3758/s13414-015-1038-7 · Cited by 63 · see citing works
Approach-Induced Biases in Human Information Sampling
Hunt, L. T., Rutledge, R. B., Malalasekera, W. M. N., Kennerley, S. W., & Dolan, R. J. (2016) · PLOS Biology · doi:10.1371/journal.pbio.2000638 · Cited by 60 · see citing works
Modulation of spatial attention by goals, statistical learning, and monetary reward
Jiang, Y. V., Sha, L. Z., & Remington, R. W. (2015) · Attention Perception & Psychophysics · doi:10.3758/s13414-015-0952-z · Cited by 58 · see citing works
Shic, F., Wang, Q., Macari, S. L., & Chawarska, K. (2019) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.13118 · Cited by 57 · see citing works
New Eye-Tracking Techniques May Revolutionize Mental Health Screening
Itti, L. (2015) · Neuron · doi:10.1016/j.neuron.2015.10.033 · Cited by 58 · see citing works
Seeking motivation and reward: Roles of dopamine, hippocampus, and supramammillo-septal pathway
Kesner, A. J., Calva, C. B., & Ikemoto, S. (2022) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2022.102252 · Cited by 56 · see citing works
Larsen, N. M., Sigurðsson, V., & Breivik, J. (2017) · The Behavior Analyst · doi:10.1007/s40614-017-0121-x · Cited by 56 · see citing works
Control of gaze while walking: Task structure, reward, and uncertainty
Tong, M. H., Zohar, O., & Hayhoe, M. (2017) · Journal of Vision · doi:10.1167/17.1.28 · Cited by 53 · see citing works
Self-citationWatson, P., Pearson, D., Most, S. B., Theeuwes, J., Wiers, R. W. H. J., & Pelley, M. E. L. (2019) · PLoS ONE · doi:10.1371/journal.pone.0226284 · Cited by 52 · see citing works
Monosov, I. E., & Rushworth, M. F. S. (2021) · Neuropsychopharmacology · doi:10.1038/s41386-021-01079-2 · Cited by 48 · see citing works
Gorin, H., Patel, J. K., Qiu, Q., Merians, A. S., Adamovich, S., & Fluet, G. G. (2024) · Sensors · doi:10.3390/s24061759 · Cited by 51 · see citing works
Systems neuroscience of curiosity
Cervera, R. L., Wang, M. Z., & Hayden, B. Y. (2020) · Current Opinion in Behavioral Sciences · doi:10.1016/j.cobeha.2020.06.011 · Cited by 56 · see citing works
Gottlieb, J. P. (2017) · Cortex · doi:10.1016/j.cortex.2017.08.019 · Cited by 49 · see citing works
Self-citationHoward‐Jones, P. A., & Jay, T. (2016) · Current Opinion in Behavioral Sciences · doi:10.1016/j.cobeha.2016.04.015 · Cited by 48 · see citing works
The ventral striatum dissociates information expectation, reward anticipation, and reward receipt
Filimon, F., Nelson, J. D., B, T. J. S. A., Sereno, M. I., & Cottrell, G. W. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1911778117 · Cited by 46 · see citing works
Role of expected reward in frontal eye field during natural scene search
Glaser, J. I., Wood, D. K., Lawlor, P. N., Ramkumar, P., Kording, K. P., & Segraves, M. A. (2016) · Journal of Neurophysiology · doi:10.1152/jn.00119.2016 · Cited by 43 · see citing works
Curiosity: primate neural circuits for novelty and information seeking
Monosov, I. E. (2024) · Nature Reviews Neuroscience · doi:10.1038/s41583-023-00784-9 · Cited by 44 · see citing works
Le Pelley, M. E., Seabrooke, T., Kennedy, B. L., Pearson, D., & Most, S. B. (2017) · Attention, Perception, & Psychophysics · doi:10.3758/s13414-017-1346-1 · Cited by 44 · see citing works
Attentional economics links value-modulated attentional capture and decision-making
Pearson, D., Watson, P., Albertella, L., & Pelley, M. E. L. (2022) · Nature Reviews Psychology · doi:10.1038/s44159-022-00053-z · Cited by 45 · see citing works
Gottlieb, J. P., Lopes, M. C., & Oudeyer, P. (2016) · Advances in motivation and achievement · doi:10.1108/s0749-742320160000019017 · Cited by 43 · see citing works
Self-citationReward, attention, and HIV-related risk in HIV+ individuals
Anderson, B. A., Kronemer, S. I., Rilee, J. J., Sacktor, N. C., & Marvel, C. L. (2015) · Neurobiology of Disease · doi:10.1016/j.nbd.2015.10.018 · Cited by 39 · see citing works
Mechanisms of Choice Behavior Shift Using Cue-approach Training
Bakkour, A., Leuker, C., Hover, A. M., Giles, N., Poldrack, R. A., & Schönberg, T. (2016) · Frontiers in Psychology · doi:10.3389/fpsyg.2016.00421 · Cited by 38 · see citing works
Domínguez-Zamora, F. J., Gunn, S. M., & Marigold, D. S. (2018) · Scientific Reports · doi:10.1038/s41598-018-32504-0 · Cited by 37 · see citing works
Modulation of local field potentials and neuronal activity in primate hippocampus during saccades
Doucet, G., Gulli, R. A., Corrigan, B. W., Duong, L., & Martínez-Trujillo, J. (2019) · Hippocampus · doi:10.1002/hipo.23140 · Cited by 36 · see citing works
Evidence accumulation is biased by motivation: A computational account
Gęsiarz, F., Cahill, D., & Sharot, T. (2019) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1007089 · Cited by 34 · see citing works
Tuning movement for sensing in an uncertain world
Chen, C., Murphey, T. D., & MacIver, M. A. (2020) · eLife · doi:10.7554/elife.52371 · Cited by 33 · see citing works
Motives driving gaze and walking decisions
Domínguez-Zamora, F. J., & Marigold, D. S. (2021) · Current Biology · doi:10.1016/j.cub.2021.01.069 · Cited by 34 · see citing works
On Curiosity: A Fundamental Aspect of Personality, a Practice of Network Growth
Zurn, P., & Bassett, D. S. (2018) · Personality Neuroscience · doi:10.1017/pen.2018.3 · Cited by 34 · see citing works
Overt attentional capture by reward-related stimuli overcomes inhibitory suppression.
Pearson, D., Watson, P., Cheng, P., & Pelley, M. E. L. (2020) · Journal of Experimental Psychology Human Perception & Performance · doi:10.1037/xhp0000728 · Cited by 33 · see citing works
The value of choice facilitates subsequent memory across development
Katzman, P. L., & Hartley, C. A. (2020) · Cognition · doi:10.1016/j.cognition.2020.104239 · Cited by 31 · see citing works
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 29 · see citing works
Self-citationWinners and losers: Reward and punishment produce biases in temporal selection.
Pelley, M. E. L., Watson, P., Pearson, D., Abeywickrama, R. S., & Most, S. B. (2018) · Journal of Experimental Psychology Learning Memory and Cognition · doi:10.1037/xlm0000612 · Cited by 32 · see citing works
Eye movements reveal spatiotemporal dynamics of visually-informed planning in navigation
Zhu, S. L., Lakshminarasimhan, K. J., Arfaei, N., & Angelaki, D. E. (2022) · eLife · doi:10.7554/elife.73097 · Cited by 30 · see citing works
Robust sampling of decision information during perceptual choice
Vandormael, H., Castañón, S. H., Balaguer, J., Li, V., & Summerfield, C. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1613950114 · Cited by 31 · see citing works
Pelley, M. E. L., Ung, R., Mine, C., Most, S. B., Watson, P., Pearson, D., & Theeuwes, J. (2022) · Attention Perception & Psychophysics · doi:10.3758/s13414-021-02426-7 · Cited by 30 · see citing works
The “highs and lows” of the human brain on dopaminergics: Evidence from neuropharmacology
Martins, D., Mehta, M. A., & Prata, D. P. (2017) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2017.06.003 · Cited by 29 · see citing works
Sensitivity to value-driven attention is predicted by how we learn from value
Jahfari, S., & Theeuwes, J. (2017) · Psychonomic Bulletin & Review · doi:10.3758/s13423-016-1106-6 · Cited by 28 · see citing works
Balcarras, M., Ardid, S., Kaping, D., Everling, S., & Womelsdorf, T. (2015) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00894 · Cited by 25 · see citing works
Neural Correlates of Subsequent Memory-Related Gaze Reinstatement
Wynn, J. S., Liu, Z., & Ryan, J. D. (2021) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_01761 · Cited by 27 · see citing works
Atypical Value-Driven Selective Attention in Young Children With Autism Spectrum Disorder
Wang, Q., Chang, J. T., & Chawarska, K. (2020) · JAMA Network Open · doi:10.1001/jamanetworkopen.2020.4928 · Cited by 22 · see citing works
Impaired Value Learning for Faces in Preschoolers With Autism Spectrum Disorder
Wang, Q., DiNicola, L. M., Heymann, P., Hampson, M., & Chawarska, K. (2017) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1016/j.jaac.2017.10.014 · Cited by 21 · see citing works
Paradoxical choice and the reinforcing value of information
Ajuwon, V., Ojeda, A., Murphy, R. A., Monteiro, T., & Kacelnik, A. (2022) · Animal Cognition · doi:10.1007/s10071-022-01698-2 · Cited by 19 · see citing works
Global bias reliability in dogs (Canis familiaris)
Mongillo, P., Pitteri, E., Sambugaro, P., Carnier, P., & Marinelli, L. (2016) · Animal Cognition · doi:10.1007/s10071-016-1044-8 · Cited by 19 · see citing works
Surfing uncertainty with screams: predictive processing, error dynamics and horror films
Miller, M. M., White, B. P., & Scrivner, C. (2023) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2022.0425 · Cited by 18 · see citing works
Comparing anticipation and uncertainty-penalty accounts of noninstrumental information seeking.
Liew, S. X., Embrey, J. R., Navarro, D., & Newell, B. R. (2022) · Decision · doi:10.1037/dec0000179 · Cited by 16 · see citing works
Wolf, C., & Schütz, A. C. (2017) · Journal of Vision · doi:10.1167/17.6.21 · Cited by 16 · see citing works
Mishra, S., Srinivasan, N., & Tiwary, U. S. (2022) · Brain Sciences · doi:10.3390/brainsci12060702 · Cited by 15 · see citing works
Schwedhelm, P., Baldauf, D., & Treue, S. (2017) · Scientific Reports · doi:10.1038/s41598-017-18153-9 · Cited by 16 · see citing works
Zhang, W., Xie, Y., & Yang, T. (2022) · Nature Communications · doi:10.1038/s41467-022-34084-0 · Cited by 15 · see citing works
Uncertainty-modulated attentional capture: Outcome variance increases attentional priority.
Pearson, D., Chong, A., Chow, J. Y. L., Garner, K., Theeuwes, J., & Pelley, M. E. L. (2024) · Journal of Experimental Psychology General · doi:10.1037/xge0001586 · Cited by 15 · see citing works
Wei, D., Zhang, H., Broekman, B. F. P., Chong, Y. S., Shek, L. P., Yap, F. K. P., Tan, K. H., Gluckman, P. D., Meaney, M. J., Fortier, M. V., et al. (2021) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1016/j.jaac.2021.05.021 · Cited by 15 · see citing works
Dopaminergic signaling supports auditory social learning
Paraouty, N., Rizzuto, C. R., & Sanes, D. H. (2021) · Scientific Reports · doi:10.1038/s41598-021-92524-1 · Cited by 17 · see citing works
Taghizadeh, B., Foley, N. C., Karimimehr, S., Cohanpour, M., Semework, M., Sheth, S. A., Lashgari, R., & Gottlieb, J. P. (2020) · Communications Biology · doi:10.1038/s42003-020-01320-6 · Cited by 14 · see citing works
Self-citationDi Paolo, L. D., White, B., Guénin-Carlut, A., Constant, A., & Clark, A. (2024) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2023.0148 · Cited by 14 · see citing works
“Research has shown that because agents find pleasure in reducing manageable uncertainty, they are attracted to just-uncertain-enough environments: the ones that offer such opportunities (see, for example, [50–53]).”
BackgroundAn Approach to Elicit Human-Understandable Robot Expressions to Support Human-Robot Interaction
Leusmann, J., Villa, S., Liang, T., Wang, C., Schmidt, A., & Mayer, S. (2025) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3706598.3713085 · Cited by 14 · see citing works
Vericel, M., Baraduc, P., Duhamel, J., & Wirth, S. (2024) · Nature Communications · doi:10.1038/s41467-024-54736-7 · Cited by 16 · see citing works
Reward and Novelty Enhance Imagination of Future Events in a Motivational-Episodic Network
Bulganin, L., & Wittmann, B. C. (2015) · PLoS ONE · doi:10.1371/journal.pone.0143477 · Cited by 14 · see citing works
Information Processing Biases in the Brain: Implications for Decision-Making and Self-Governance
Sali, A. W., Anderson, B. A., & Courtney, S. M. (2016) · Neuroethics · doi:10.1007/s12152-016-9251-1 · Cited by 14 · see citing works
Effects of reward on oculomotor control
McCoy, B., & Theeuwes, J. (2016) · Journal of Neurophysiology · doi:10.1152/jn.00498.2016 · Cited by 14 · see citing works
To know or not to know? Curiosity and the value of prospective information in animals
Ajuwon, V., Monteiro, T., Schnell, A. K., & Clayton, N. S. (2024) · Learning & Behavior · doi:10.3758/s13420-024-00647-y · Cited by 13 · see citing works
Learning Where to Look for High Value Improves Decision Making Asymmetrically
Colas, J., & Lu, J. (2017) · Frontiers in Psychology · doi:10.3389/fpsyg.2017.02000 · Cited by 11 · see citing works
The Brain Circuits and Dynamics of Curiosity-Driven Behavior in Naturally Curious Marmosets
Tian, X., Silva, A. C., & Liu, C. (2021) · Cerebral Cortex · doi:10.1093/cercor/bhab080 · Cited by 12 · see citing works
Stop paying attention to “attention”
Anderson, B. (2021) · Wiley Interdisciplinary Reviews Cognitive Science · doi:10.1002/wcs.1574 · Cited by 12 · see citing works
Geng, J. J., & Duarte, S. E. (2021) · Visual Cognition · doi:10.1080/13506285.2021.1928806 · Cited by 12 · see citing works
Approach-induced biases in human information samplingPreprint
Hunt, L. T., Rutledge, R. B., Malalasekera, W. M. N., Kennerley, S. W., & Dolan, R. J. (2016) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/047787 · Cited by 12 · see citing works
Effects of reward on the accuracy and dynamics of smooth pursuit eye movements.
Brielmann, A. A., & Spering, M. (2015) · Journal of Experimental Psychology Human Perception & Performance · doi:10.1037/a0039205 · Cited by 11 · see citing works
Häusler, A. N., Artigas, S. O., Trautner, P., & Weber, B. (2016) · eNeuro · doi:10.1523/eneuro.0189-16.2016 · Cited by 11 · see citing works
Overt and covert attention to location-based reward
McCoy, B., & Theeuwes, J. (2017) · Vision Research · doi:10.1016/j.visres.2017.10.003 · Cited by 11 · see citing works
Modeling sensory-motor decisions in natural behavior
Zhang, R., Zhang, S., Tong, M. H., Cui, Y., Rothkopf, C. A., Ballard, D. H., & Hayhoe, M. (2018) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1006518 · Cited by 11 · see citing works
Self-citationYi, Y., Lu, C., Wang, B., Cheng, L., Li, Z., & Gong, J. (2023) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2023.3263875 · Cited by 9 · see citing works
Curiosity constructs communicative competence through social feedback loops
Venditti, J. A., Murrugarra, E., McLean, C. R., & Goldstein, M. H. (2023) · Advances in child development and behavior · doi:10.1016/bs.acdb.2023.05.007 · Cited by 9 · see citing works
The role of expecting feedback during decision-making under risk
Rigoli, F., Martinelli, C., & Shergill, S. S. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.116079 · Cited by 9 · see citing works
Which search are you on? Adapting to color while searching for shape
Bergmann, N., Tünnermann, J., & Schubö, A. (2019) · Attention Perception & Psychophysics · doi:10.3758/s13414-019-01858-6 · Cited by 9 · see citing works
Humans trade off search costs and accuracy in a combined visual search and perceptual task
Wagner, I., Henare, D., Tünnermann, J., Schubö, A., & Schütz, A. C. (2022) · Attention Perception & Psychophysics · doi:10.3758/s13414-022-02600-5 · Cited by 8 · see citing works
Effects of memory cue and interest in remembering and forgetting of gist and details
Hu, Z., & Yang, J. (2023) · Frontiers in Psychology · doi:10.3389/fpsyg.2023.1244288 · Cited by 8 · see citing works
Motor System-Dependent Effects of Amygdala and Ventral Striatum Lesions on Explore–Exploit Behaviors
Giarrocco, F., Costa, V. D., Basile, B. M., Pujara, M. S., Murray, E. A., & Averbeck, B. B. (2023) · Journal of Neuroscience · doi:10.1523/jneurosci.1206-23.2023 · Cited by 8 · see citing works
Information seeking mechanism of neural populations in the lateral prefrontal cortex
Nakamura, K., & Komatsu, M. (2018) · Brain Research · doi:10.1016/j.brainres.2018.11.029 · Cited by 7 · see citing works
Learning in Visual Regions as Support for the Bias in Future Value-Driven Choice
Jahfari, S., Theeuwes, J., & Knapen, T. H. J. (2019) · Cerebral Cortex · doi:10.1093/cercor/bhz218 · Cited by 8 · see citing works
- 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 · 2012: 1
- 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