The DOI matches its Crossref record; 128 of the 128 references it cites were found in a registry or an index.
Towards a neuroscience of active sampling and curiosity
Abstract
In natural behaviour, animals actively interrogate their environments using endogenously generated 'question-and-answer' strategies. However, in laboratory settings participants typically engage with externally imposed stimuli and tasks, and the mechanisms of active sampling remain poorly understood. We review a nascent neuroscientific literature that examines active-sampling policies and their relation to attention and curiosity. We distinguish between information sampling, in which organisms reduce uncertainty relevant to a familiar task, and information search, in which they investigate in an open-ended fashion to discover new tasks. We review evidence that both sampling and search depend on individual preferences over cognitive states, including attitudes towards uncertainty, learning progress and types of information. We propose that, although these preferences are non-instrumental and can on occasion interfere with external goals, they are important heuristics that allow organisms to cope with the high complexity of both sampling and search, and generate curiosity-driven investigations in large, open environments in which rewards are sparse and ex ante unknown.
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 [51]
Citations
Cites
Reinforcement Learning: An Introduction
Sutton, R. S., & Barto, A. G. (1998) · IEEE Transactions on Neural Networks · doi:10.1109/tnn.1998.712192 · Cited by 27,225
Reinforcement Learning: An Introduction
Sutton, R. S., & Barto, A. (2005) · IEEE Transactions on Neural Networks · doi:10.1109/tnn.2004.842673 · Cited by 25,268
Conflict, arousal, and curiosity.
Berlyne, D. E. (1960) · McGraw-Hill Book Company · doi:10.1037/11164-000 · Cited by 6,018
Humans integrate visual and haptic information in a statistically optimal fashion
Ernst, M. O., & Banks, M. S. (2002) · Nature · doi:10.1038/415429a · Cited by 4,844
The psychology of curiosity: A review and reinterpretation.
Loewenstein, G. (1994) · Psychological Bulletin · doi:10.1037/0033-2909.116.1.75 · Cited by 2,738
Sweet anticipation: music and the psychology of expectation
Huron, D., Marcus, R., Pearce, T., & Müllensiefen, D. (2007) · Choice Reviews Online · doi:10.5860/choice.44-4368 · Cited by 1,830
Model-based influences on humans’ choices and striatal prediction errors
Daw, N. D., Gershman, S. J., Seymour, B., Dayan, P., & Dolan, R. J. (2011) · Neuron · doi:10.1016/j.neuron.2011.02.027 · Cited by 1,779
Temporal Resolution of Uncertainty and Dynamic Choice Theory
Kreps, D. M., & Porteus, E. L. (1978) · Econometrica · doi:10.2307/1913656 · Cited by 1,753
The Normalization Model of Attention
Reynolds, J. H., & Heeger, D. J. (2009) · Neuron · doi:10.1016/j.neuron.2009.01.002 · Cited by 1,457
Huron, D. (2006) · The MIT Press eBooks · doi:10.7551/mitpress/6575.001.0001 · Cited by 1,413
Research works printed but not linked: 7
- Forestier, S. & Oudeyer, P. Y. in Proc. IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS) 3965–3972 (IEEE, 2016). · DOI
- Forestier, S. & Oudeyer, P. Y. in Proc. 39th Annual Meeting of the Cognitive Science Soc. 2013–2018 (Cogsci, 2017).
- Lopes, M. & Oudeyer, P.-Y. in Proc. IEEE Int. Conf. on Development and Learning and Epigenetic Robotics (ICDL) 1–8 (IEEE, 2012). · DOI
- Barto, A., Singh, S. & Chenatez, N. in Proc. 3rd Int. Conf. Dvp. Learn 112–119 (San Diego, CA, 2004).
- Schmidhuber, J. in Proc. Int. Joint Conf. Neural Networks 2, 1458–1463 (IEEE, 1991). · DOI
- Bellemare, M. et al. in Proc. Advances in Neural Information Processing Systems 29 Conf. 1471–1479 (NIPS, 2016).
- Kulkarni, T. D., Narasimhan, K., Saeedi, A. & Tenenbaum, J. B. in Proc. Advances in Neural Information Processing Systems 29 Conf. 3675–3683 (NIPS, 2016).
Cited by
Sorted by citations
Process Account of Curiosity and Interest: A Reward-Learning Perspective
Murayama, K., FitzGibbon, L., & Sakaki, M. (2019) · Educational Psychology Review · doi:10.1007/s10648-019-09499-9 · Cited by 334
Murayama, K. (2022) · Psychological Review · doi:10.1037/rev0000349 · Cited by 350
Hierarchical motor control in mammals and machines
Merel, J., Botvinick, M., & Wayne, G. (2019) · Nature Communications · doi:10.1038/s41467-019-13239-6 · Cited by 274
Gruber, M. J., & Ranganath, C. (2019) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2019.10.003 · Cited by 302
When Is More Uncertainty Better? A Model of Uncertainty Regulation and Effectiveness
Griffin, M. A., & Grote, G. (2020) · Academy of Management Review · doi:10.5465/amr.2018.0271 · Cited by 223
Balancing exploration and exploitation with information and randomization
Wilson, R. C., Bonawitz, E. B., Costa, V. D., & Ebitz, R. B. (2020) · Current Opinion in Behavioral Sciences · doi:10.1016/j.cobeha.2020.10.001 · Cited by 236
The past, present, and future of selection history
Anderson, B. A., Kim, H., Kim, A. J., Liao, M., Mrkonja, L., Clement, A., & Grégoire, L. (2021) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2021.09.004 · Cited by 218
Diverse motives for human curiosity
Kobayashi, K., Ravaioli, S., Baranès, A., Woodford, M., & Gottlieb, J. P. (2019) · Nature Human Behaviour · doi:10.1038/s41562-019-0589-3 · Cited by 157
Self-citationDuan, H., Fernández, G., van Dongen, E. V., & Kohn, N. (2020) · Brain Structure and Function · doi:10.1007/s00429-020-02074-x · Cited by 183
Two Distinct Types of Eye-Head Coupling in Freely Moving Mice
Meyer, A. F., O'Keefe, J. M., & Poort, J. (2020) · Current Biology · doi:10.1016/j.cub.2020.04.042 · Cited by 162
Juechems, K., & Summerfield, C. (2019) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2019.07.012 · Cited by 160
On the roles of function and selection in evolving systems
Wong, M. L., Cleland, C. E., Arend, D., Bartlett, S., Cleaves, H. J., Demarest, H., Prabhu, A., Lunine, J. I., & Hazen, R. M. (2023) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2310223120 · Cited by 185
Spatial modulation of hippocampal activity in freely moving macaques
Mao, D., Avila, E., Caziot, B., Laurens, J., Dickman, J. D., & Angelaki, D. E. (2021) · Neuron · doi:10.1016/j.neuron.2021.09.032 · Cited by 149
Fixation patterns in simple choice reflect optimal information sampling
Callaway, F., Rangel, A., & Griffiths, T. L. (2021) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1008863 · Cited by 143
Play in predictive minds: A cognitive theory of play.
Andersen, M. M., Kiverstein, J., Miller, M., & Roepstorff, A. (2023) · Psychological Review · doi:10.1037/rev0000369 · Cited by 122
Shared striatal activity in decisions to satisfy curiosity and hunger at the risk of electric shocks
Lau, J. K. L., Ozono, H., Kuratomi, K., Komiya, A., & Murayama, K. (2020) · Nature Human Behaviour · doi:10.1038/s41562-020-0848-3 · Cited by 131
Learning action-oriented models through active inference
Tschantz, A., Seth, A. K., & Buckley, C. L. (2020) · PLOS Computational Biology · doi:10.1371/journal.pcbi.1007805 · Cited by 121
Development of directed and random exploration in children
Meder, B., Wu, C. M., Schulz, E., & Ruggeri, A. (2021) · Developmental Science · doi:10.1111/desc.13095 · Cited by 130
Cultivating an understanding of curiosity as a seed for creativity
Gross, M. E., Zedelius, C. M., & Schooler, J. W. (2020) · Current Opinion in Behavioral Sciences · doi:10.1016/j.cobeha.2020.07.015 · Cited by 114
Hunters, busybodies and the knowledge network building associated with deprivation curiosity
Lydon‐Staley, D. M., Zhou, D., Sizemore, A. E., Zurn, P., & Bassett, D. S. (2020) · Nature Human Behaviour · doi:10.1038/s41562-020-00985-7 · Cited by 120
Formalizing planning and information search in naturalistic decision-making
Hunt, L. T., Daw, N. D., Kaanders, P., MacIver, M. A., Mugan, U., Procyk, E., Redish, A. D., Russo, E., Scholl, J., Stachenfeld, K., et al. (2021) · Nature Neuroscience · doi:10.1038/s41593-021-00866-w · Cited by 115
Akiti, K., Tsutsui‐Kimura, I., Xie, Y., Mathis, A., Markowitz, J. E., Anyoha, R., Datta, S. R., Mathis, M. W., Uchida, N., & Watabe‐Uchida, M. (2022) · Neuron · doi:10.1016/j.neuron.2022.08.022 · Cited by 106
Play, Curiosity, and Cognition
Chu, J., & Schulz, L. E. (2020) · Annual Review of Developmental Psychology · doi:10.1146/annurev-devpsych-070120-014806 · Cited by 93
Humans monitor learning progress in curiosity-driven exploration
Ten, A., Kaushik, P., Oudeyer, P. Y., & Gottlieb, J. P. (2021) · Nature Communications · doi:10.1038/s41467-021-26196-w · Cited by 97
Self-citationThe seductive lure of curiosity: information as a motivationally salient reward
FitzGibbon, L., Lau, J. K. L., & Murayama, K. (2020) · Current Opinion in Behavioral Sciences · doi:10.1016/j.cobeha.2020.05.014 · Cited by 94
Energization and Direction Are Both Essential Parts of Motivation
Elliot, A. J. (2023) · Oxford University Press eBooks · doi:10.1093/oso/9780197662359.003.0002 · Cited by 91
Curiosity as a Metacognitive Feeling
Goupil, L., & Proust, J. (2023) · Cognition · doi:10.1016/j.cognition.2022.105325 · Cited by 89
Gao, H., Ou, Y., Zhang, Z., Ni, M., Zhou, X., & Liao, L. (2021) · Frontiers in Psychology · doi:10.3389/fpsyg.2021.573779 · Cited by 84
Dogmatism manifests in lowered information search under uncertainty
Schulz, L., Rollwage, M., Dolan, R. J., & Fleming, S. M. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2009641117 · Cited by 76
Colas, C., Karch, T., Sigaud, O., & Oudeyer, P. (2022) · Journal of Artificial Intelligence Research · doi:10.1613/jair.1.13554 · Cited by 137
Self-citationParietal 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
Self-citationCuriosity and the dynamics of optimal exploration
Poli, F., O’Reilly, J. X., Mars, R. B., & Hunnius, S. (2024) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2024.02.001 · Cited by 83
Dubourg, E., & Baumard, N. (2021) · Behavioral and Brain Sciences · doi:10.1017/s0140525x21000923 · Cited by 81
Eye Movements as a Window into Decision-Making
Spering, M. (2022) · Annual Review of Vision Science · doi:10.1146/annurev-vision-100720-125029 · Cited by 71
The Next 50 Years of Neuroscience
Altimus, C. M., Marlin, B. J., Charalambakis, N., Colón-Rodríguez, A., Glover, E. J., Izbicki, P., Johnson, A. C., Lourenco, M. V., Makinson, R. A., McQuail, J. A., et al. (2020) · Journal of Neuroscience · doi:10.1523/jneurosci.0744-19.2019 · Cited by 67
Supporting curiosity in schools and classrooms
Peterson, E. G. (2020) · Current Opinion in Behavioral Sciences · doi:10.1016/j.cobeha.2020.05.006 · Cited by 66
The neuroscience of active learning and direct instruction
Dubinsky, J. M., & Hamid, A. (2024) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2024.105737 · Cited by 121
Intrinsic reward: potential cognitive and neural mechanisms
Blain, B., & Sharot, T. (2021) · Current Opinion in Behavioral Sciences · doi:10.1016/j.cobeha.2021.03.008 · Cited by 57
Stupacher, J., Matthews, T. E., Pando‐Naude, V., Elst, O. F. V., & Vuust, P. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.906190 · Cited by 61
A taxonomy of surprise definitions
Modirshanechi, A., Brea, J., & Wulfram Gerstner, B. (2022) · Journal of Mathematical Psychology · doi:10.1016/j.jmp.2022.102712 · Cited by 67
Choosing to view morbid information involves reward circuitry
Oosterwijk, S., Snoek, L., Koppele, J. T., Engelbert, L. H., & Scholte, H. S. (2020) · Scientific Reports · doi:10.1038/s41598-020-71662-y · Cited by 59
Curiosity, information demand and attentional priority
Gottlieb, J. P., Cohanpour, M., Li, Y., Singletary, N. M., & Zabeh, E. (2020) · Current Opinion in Behavioral Sciences · doi:10.1016/j.cobeha.2020.07.016 · Cited by 54
Self-citationLatent learning, cognitive maps, and curiosity
Wang, M. Z., & Hayden, B. Y. (2020) · Current Opinion in Behavioral Sciences · doi:10.1016/j.cobeha.2020.06.003 · Cited by 65
Visual novelty, curiosity, and intrinsic reward in machine learning and the brain
Jaegle, A., Mehrpour, V., & Rust, N. C. (2019) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2019.08.004 · Cited by 56
BND*-DDQN: Learn to Steer Autonomously Through Deep Reinforcement Learning
Wu, K., Wang, H., Esfahani, M. A., & Yuan, S. (2019) · IEEE Transactions on Cognitive and Developmental Systems · doi:10.1109/tcds.2019.2928820 · Cited by 56
Safron, A. (2021) · Entropy · doi:10.3390/e23060783 · Cited by 59
Frömer, R., & Shenhav, A. (2021) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2021.12.006 · Cited by 57
Monosov, I. E., & Rushworth, M. F. S. (2021) · Neuropsychopharmacology · doi:10.1038/s41386-021-01079-2 · Cited by 53
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
To know, to feel, to share? Exploring the motives that drive curiosity for negative content
Niehoff, E., & Oosterwijk, S. (2020) · Current Opinion in Behavioral Sciences · doi:10.1016/j.cobeha.2020.07.012 · Cited by 51
Curiosity and the economics of attention
Wojtowicz, Z., & Loewenstein, G. F. (2020) · Current Opinion in Behavioral Sciences · doi:10.1016/j.cobeha.2020.09.002 · Cited by 54
Visual affects: Linking curiosity, Aha-Erlebnis, and memory through information gain
de Cruys, S. V., Damiano, C., Boddez, Y., Król, M. E., Goetschalckx, L., & Wagemans, J. P. (2021) · Cognition · doi:10.1016/j.cognition.2021.104698 · Cited by 50
Learning progress mediates the link between cognitive effort and task engagement
Sayalı, C., Heling, E., & Cools, R. (2023) · Cognition · doi:10.1016/j.cognition.2023.105418 · Cited by 57
Curiosity-driven exploration: foundations in neuroscience and computational modeling
Modirshanechi, A., Kondrakiewicz, K., Wulfram Gerstner, B., & Haesler, S. (2023) · Trends in Neurosciences · doi:10.1016/j.tins.2023.10.002 · Cited by 50
The role of rewards in motivation—Beyond dichotomies
Bardach, L., & Murayama, K. (2024) · Learning and Instruction · doi:10.1016/j.learninstruc.2024.102056 · Cited by 72
Palmer, D. D., Dumont, J. R., Dexter, T. D., Prado, M. A. M., Finger, E. C., Bussey, T. J., & Saksida, L. M. (2021) · Neurobiology of Learning and Memory · doi:10.1016/j.nlm.2021.107443 · Cited by 54
An active inference model of hierarchical action understanding, learning and imitation
Proietti, R., Pezzulo, G., & Tessari, A. (2023) · Physics of Life Reviews · doi:10.1016/j.plrev.2023.05.012 · Cited by 48
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
Naïve to expert: Considering the role of previous knowledge in memory
Alonso, A., van der Meij, J., Tse, D., & Genzel, L. (2020) · Brain and Neuroscience Advances · doi:10.1177/2398212820948686 · Cited by 46
Finding a balance: modulatory effects of positive affect on attentional and cognitive control
Paul, K., Pourtois, G., van Steenbergen, H., Gable, P. A., & Dreisbach, G. (2021) · Current Opinion in Behavioral Sciences · doi:10.1016/j.cobeha.2021.03.002 · Cited by 46
The computational cost of active information sampling before decision-making under uncertainty
Petitet, P., Attaallah, B., Manohar, S., & Husain, M. (2021) · Nature Human Behaviour · doi:10.1038/s41562-021-01116-6 · Cited by 48
Curiosity or savouring? Information seeking is modulated by both uncertainty and valence
van Lieshout, L. L. F., Traast, I. J., de Lange, F. P., & Cools, R. (2021) · PLoS ONE · doi:10.1371/journal.pone.0257011 · Cited by 49
Uncertainty increases curiosity, but decreases happiness
van Lieshout, L. L. F., de Lange, F. P., & Cools, R. (2021) · Scientific Reports · doi:10.1038/s41598-021-93464-6 · Cited by 47
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 51
The Lure of Counterfactual Curiosity: People Incur a Cost to Experience Regret
FitzGibbon, L., Komiya, A., & Murayama, K. (2021) · Psychological Science · doi:10.1177/0956797620963615 · Cited by 43
Curiosity in childhood and adolescence — what can we learn from the brain
Gruber, M. J., & Fandakova, Y. (2021) · Current Opinion in Behavioral Sciences · doi:10.1016/j.cobeha.2021.03.031 · Cited by 51
Novelty is not surprise: Human exploratory and adaptive behavior in sequential decision-making
He, X., Modirshanechi, A., Lehmann, M. P., Wulfram Gerstner, B., & Herzog, M. H. (2021) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1009070 · Cited by 49
Curiosity: The effects of feedback and confidence on the desire to know.
Metcalfe, J., Vuorre, M., Towner, E., & Eich, T. S. (2022) · Journal of Experimental Psychology General · doi:10.1037/xge0001284 · Cited by 38
Apathy is associated with reduced precision of prior beliefs about action outcomes.
Hezemans, F. H., Wolpe, N., & Rowe, J. B. (2020) · Journal of Experimental Psychology General · doi:10.1037/xge0000739 · Cited by 36
The thermodynamic brain and the evolution of intellect: the role of mental energy
Déli, É., & Kisvárday, Z. F. (2020) · Cognitive Neurodynamics · doi:10.1007/s11571-020-09637-y · Cited by 36
If it's important, then I’m curious: Increasing perceived usefulness stimulates curiosity
Dubey, R., Griffiths, T. L., & Lombrozo, T. (2022) · Cognition · doi:10.1016/j.cognition.2022.105193 · Cited by 36
Human-AI joint task performance: Learning from uncertainty in autonomous driving systems
Constantinides, P., Monteiro, E., & Mathiassen, L. (2024) · Information and Organization · doi:10.1016/j.infoandorg.2024.100502 · Cited by 39
Delis, I., Ince, R. A. A., Sajda, P., & Wang, Q. (2022) · Journal of Neuroscience · doi:10.1523/jneurosci.0861-21.2022 · Cited by 35
Language and culture internalization for human-like autotelic AI
Colas, C., Karch, T., Moulin-Frier, C., & Oudeyer, P.-Y. (2022) · Nature Machine Intelligence · doi:10.1038/s42256-022-00591-4 · Cited by 34
Self-citationLiu, Y., Long, T., Zhang, L., Wang, Y., Zhang, X., & Li, Y. (2024) · IEEE Transactions on Aerospace and Electronic Systems · doi:10.1109/taes.2024.3373378 · Cited by 34
A Neurocomputational Model for Intrinsic Reward
Chew, B., Blain, B., Dolan, R. J., & Rutledge, R. B. (2021) · Journal of Neuroscience · doi:10.1523/jneurosci.0858-20.2021 · Cited by 40
Humans actively sample evidence to support prior beliefs
Kaanders, P., Sepulveda, P., Folke, T., Ortoleva, P., & de Martino, B. (2022) · eLife · doi:10.7554/elife.71768 · Cited by 33
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
Self-citationCapturing, clarifying, and consolidating the curiosity-creativity connection
Koutstaal, W., Kedrick, K., & Gonzalez-Brito, J. (2022) · Scientific Reports · doi:10.1038/s41598-022-19694-4 · Cited by 31
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 37
Murphy, C., Dehmelt, V., Yonelinas, A. P., Ranganath, C., & Gruber, M. J. (2021) · Learning & Memory · doi:10.1101/lm.052241.120 · Cited by 34
Medial Frontal Cortex Activity Predicts Information Sampling in Economic Choice
Kaanders, P., Nili, H., O'Reilly, J. X., & Hunt, L. (2021) · The Journal of Neuroscience · doi:10.1523/jneurosci.0392-21.2021 · Cited by 27
Naturalistic neuroscience and virtual reality
Thurley, K. (2022) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2022.896251 · Cited by 39
The effect of information gap and uncertainty on curiosity and its resolution
Singh, A., & Manjaly, J. A. (2021) · Journal of Cognitive Psychology · doi:10.1080/20445911.2021.1908311 · Cited by 29
Strategically managing learning during perceptual decision making
Masis, J. A., Chapman, T., Rhee, J. Y., Cox, D., & Saxe, A. (2023) · eLife · doi:10.7554/elife.64978 · Cited by 42
Deep Active Inference and Scene Construction
Heins, R. C., Mirza, M. B., Parr, T., Friston, K. J., Kagan, I., & Pooresmaeili, A. (2020) · Frontiers in Artificial Intelligence · doi:10.3389/frai.2020.509354 · Cited by 28
How the conception of control influences our understanding of actions
Floegel, M., Kasper, J., Perrier, P., & Kell, C. A. (2023) · Nature reviews. Neuroscience · doi:10.1038/s41583-023-00691-z · Cited by 36
Learning action-oriented models through active inferencePreprint
Tschantz, A., Seth, A. K., & Buckley, C. L. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/764969 · Cited by 28
Poli, F., Ghilardi, T., Beijers, R., de Weerth, C., Hinne, M., Mars, R. B., & Hunnius, S. (2023) · Developmental Science · doi:10.1111/desc.13460 · Cited by 27
Bidirectional influences of information sampling and concept learning.
Braunlich, K., & Love, B. C. (2021) · Psychological Review · doi:10.1037/rev0000287 · Cited by 28
Hunters, busybodies, and the knowledge network building associated with curiosityPreprint
Lydon‐Staley, D. M., Zhou, D., Blevins, A. S., Zurn, P., & Bassett, D. S. (2019) · PsyArXiv (OSF Preprints) · doi:10.31234/osf.io/undy4 · Cited by 27
(2023) · doi:10.1093/oso/9780197662359.001.0001 · Cited by 33
Humans actively sample evidence to support prior beliefs.
Kaanders, P., Sepúlveda, P., Folke, T., Ortoleva, P., & Martino, B. D. (2021) · UCL Discovery (University College London) · doi:10.17863/cam.83863 · Cited by 26
Surprise and novelty in the brain
Modirshanechi, A., Becker, S., Brea, J., & Wulfram Gerstner, B. (2023) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2023.102758 · Cited by 31
Empowerment contributes to exploration behaviour in a creative video game
Brändle, F., Stocks, L. J., Tenenbaum, J. B., Gershman, S. J., & Schulz, E. (2023) · Nature Human Behaviour · doi:10.1038/s41562-023-01661-2 · Cited by 34
Neurocomputational mechanisms underlying the subjective value of information
Goh, A. X.-A., Bennett, D., Bode, S., & Chong, T. T. ‐. (2021) · Communications Biology · doi:10.1038/s42003-021-02850-3 · Cited by 25
The Quest for Simplicity in Human Learning: Identifying the Constraints on Attention
Galdo, M., Weichart, E. R., Sloutsky, V. M., & Turner, B. M. (2021) · Cognitive Psychology · doi:10.1016/j.cogpsych.2022.101508 · Cited by 29
Computational cross‐species views of the hippocampal formation
Zhu, S. L., Lakshminarasimhan, K. J., & Angelaki, D. E. (2023) · Hippocampus · doi:10.1002/hipo.23535 · Cited by 25
Feeling-of-knowing experiences breed curiosity
Brooks, G., Yang, H., & Köhler, S. (2021) · Memory · doi:10.1080/09658211.2020.1867746 · Cited by 26
Remembering the Past to See the Future
Rust, N. C., & Palmer, S. E. (2021) · Annual Review of Vision Science · doi:10.1146/annurev-vision-093019-112249 · Cited by 24
Metadata
- Authors
- Gottlieb, J., & Oudeyer, P.-Y.
- Affiliations
- Mortimer B. Zuckerman Mind Brain Behavior Institute (US)
- Institut national de recherche en sciences et technologies du numérique (FR)
- Corresponding author
- Gottlieb, Jacqueline
- Venue
- Nature Reviews Neuroscience
- Published
- 2018-11-05
- Volume
- 19
- Issue
- 12
- Pages
- 758-770
- ISSN
- 1471-003X (ISSN-L)
- 1471-0048
- OpenAlex
- W2899529983
- Cited by
- 494
- References
- 128
- Citations by year
- 2026: 39 · 2025: 68 · 2024: 53 · 2023: 136 · 2022: 49 · 2021: 67 · 2020: 55 · 2019: 26
- FWCI
- 5.90
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature reviews. Neuroscience (publishedVersion)
- PubMed (publishedVersion)
- HAL (submittedVersion)
- Funders
- National Eye Institute (P30EY019007)
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Psychological and Educational Research Studies
- Physical Sciences › Computer Science › Artificial Intelligence › Reinforcement Learning in Robotics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
- Keywords
- active sampling, curiosity, information sampling, information search, attention, uncertainty, cognitive states, exploration, learning progress, sparse rewards, open environments
- MeSH terms
- Animals, Attention, Brain, Cognition, Exploratory Behavior, Humans, Neurosciences, Reward
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
