The DOI matches its Crossref record; 196 of the 196 references it cites were found in a registry or an index.
Toward a Rational and Mechanistic Account of Mental Effort
Open accessAbstract
In spite of its familiar phenomenology, the mechanistic basis for mental effort remains poorly understood. Although most researchers agree that mental effort is aversive and stems from limitations in our capacity to exercise cognitive control, it is unclear what gives rise to those limitations and why they result in an experience of control as costly. The presence of these control costs also raises further questions regarding how best to allocate mental effort to minimize those costs and maximize the attendant benefits. This review explores recent advances in computational modeling and empirical research aimed at addressing these questions at the level of psychological process and neural mechanism, examining both the limitations to mental effort exertion and how we manage those limited cognitive resources. We conclude by identifying remaining challenges for theoretical accounts of mental effort as well as possible applications of the available findings to understanding the causes of and potential solutions for apparent failures to exert the mental effort required of us.
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?
In the citing paper
“Consequently, modern theories of motivation increasingly describe motivational states as the output of a computation (calculation), where the expected value of an action is weighed against anticipated costs. These include energetic costs, as all goal pursuit will require the expenditure of metabolic energy, opportunity costs, as the pursuit of one goal might block progress towards another, hedonic”
From Motivation in the Service of Allostasis: The Role of Anterior Mid-Cingulate Cortex (2019) · cites this paper as Shenhav et al., 2017
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
1 retracted
RETRACTED: Role of test motivation in intelligence testing
Duckworth, A. L., Quinn, P. D., Lynam, D. R., Loeber, R., & Stouthamer-Loeber, M. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1018601108 · Cited by 344
RetractedLeCun, Y., Bengio, Y., & Hinton, G. (2015) · Nature · doi:10.1038/nature14539 · Cited by 84,126
Tversky, A., & Kahneman, D. (1974) · Science · doi:10.1126/science.185.4157.1124 · Cited by 28,810
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
James, W. (1891) · Personality Culture Society · doi:10.1037/11059-000 · Cited by 25,876
The magical number seven, plus or minus two: Some limits on our capacity for processing information.
Miller, G. A. (1956) · Psychological Review · doi:10.1037/h0043158 · Cited by 17,812
Parallel Distributed Processing: Explorations in the Microstructure of Cognition: Foundations
Rumelhart, D. E., McClelland, J. L., & AU (1986) · doi:10.7551/mitpress/5236.001.0001 · Cited by 15,686
Representation Learning: A Review and New Perspectives
Bengio, Y., Courville, A., & Vincent, P. (2013) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2013.50 · Cited by 13,001
An Integrative Theory of Prefrontal Cortex Function
Miller, E. K., & Cohen, J. D. (2001) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.24.1.167 · Cited by 12,803
Self-citationHandbook of Positive Psychology
(2001) · doi:10.1093/oso/9780195135336.001.0001 · Cited by 9,158
Research works printed but not linked: 11
- Allport DA, 1994, Attention and Performance XV: Conscious and Nonconscious Information Processing, 421
- 10.1037/0022-3514.74.5.1252 · DOI · Paper page
- Bonnelle V, 2015, Cereb. Cortex, 26, 807
- Dunn TL, 2016, J. Exp. Psychol., 42, 1372
- Geana A, 2016, Proc. 38th Annu. Conf. Cogn. Sci. Soc., Philadelphia, 1751
- Kahneman D, 1973, Attention and Effort
- Musslick S, 2016, Parallel processing capability versus efficiency of representation in neural networks
- Musslick S, 2015, A computational model of control allocation based on the expected value of control
- Sternberg S, 1969, Am. Sci., 57, 421
- Todd MT, 2009, Adv. Neural Inf. Process. Syst., 21, 1689
- Wickens DD, 1984, Varieties of Attention, 63
Cited by
Sorted by citations
Items 601–700 of 1,000
Cortial, C., Prado, J., & Caparos, S. (2025) · Cognitive Science · doi:10.1111/cogs.70084 · Cited by 4
Exerting control: the grammatical meaning of facial displays in signed languages
Siyavoshi, S., & Wilcox, S. E. (2021) · Cognitive Linguistics · doi:10.1515/cog-2021-0051 · Cited by 4
Modeling student engagement using optimal control theory
Lewis, D. (2022) · The Journal of Geometric Mechanics · doi:10.3934/jgm.2021032 · Cited by 4
Pan-cortical coordination underlying mental effort
Lesser, R. P., Webber, W. R., & Miglioretti, D. L. (2022) · Clinical Neurophysiology · doi:10.1016/j.clinph.2021.12.021 · Cited by 4
Zou, D., & Zhang, J. (2023) · CURRENT TRENDS IN TRANSLATION TEACHING AND LEARNING E · doi:10.51287/cttl20238 · Cited by 4
Pupillometry Studies of Listening Effort: Implications for Clinical Audiology
Kuchinsky, S. E., & Milvae, K. D. (2024) · Springer eBooks · doi:10.1007/978-3-031-54896-3_8 · Cited by 4
Signed Language and Cognitive Grammar
Wilcox, S. E., Martínez, R., & Siyavoshi, S. (2024) · Cambridge University Press eBooks · doi:10.1017/9781108951326 · Cited by 4
Pollé, S., Sankalaite, S., Huizinga, M., McClelland, M. M., Spilt, J. L., & Baeyens, D. (2025) · Frontiers in Education · doi:10.3389/feduc.2025.1528805 · Cited by 7
The impact of real-time energy consumption feedback on residential gas and electricity usage
Boomsma, M., Vringer, K., & Soest, D. P. V. (2025) · Journal of Environmental Economics and Management · doi:10.1016/j.jeem.2025.103163 · Cited by 4
Intentional hedonic consumption motivates prosocial behavior
Cristian, D., Fennis, B. M., Mukhopadhyay, A., & Warlop, L. (2025) · International Journal of Research in Marketing · doi:10.1016/j.ijresmar.2025.07.002 · Cited by 7
Stadler, K., Wolff, W., & Schüler, J. (2020) · Brain Sciences · doi:10.3390/brainsci10080494 · Cited by 5
Value computation and modulation: A neuroeconomic theory of self-control as constrained optimization
Brocas, I., & Carrillo, J. D. (2021) · Journal of Economic Theory · doi:10.1016/j.jet.2021.105366 · Cited by 4
Unger, A., & Papastamatelou, J. (2021) · Current Psychology · doi:10.1007/s12144-021-02607-5 · Cited by 4
Adaptive search space pruning in complex strategic problems
Amir, O., Tyomkin, L., & Hart, Y. (2022) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1010358 · Cited by 4
A multimodal approach for the ecological investigation of sustained attention: A pilot study
Avirame, K., Gshur, N., Komemi, R., & Lipskaya‐Velikovsky, L. (2022) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2022.971314 · Cited by 4
Toward biophysical markers of depression vulnerability
Pinotsis, D. A., Fitzgerald, S., See, C., Sementsova, A., & Widge, A. S. (2022) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2022.938694 · Cited by 4
A controller-peripheral architecture and costly energy principle for learning
Luo, X., Mok, R. M., Roads, B. D., & Love, B. C. (2023) · Conference on Cognitive Computational Neuroscience (CCN) · doi:10.32470/ccn.2023.1593-0 · Cited by 5
Mothers exhibit higher neural activity in gaining rewards for their children than for themselves
Zhang, Y., Rong, Y., & Wei, P. (2023) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsad048 · Cited by 5
Teichroeb, J. A., Smeltzer, E. A., Mathur, V., Anderson, K. A., Fowler, E. J., Adams, F. V., Vasey, E. N., Kumpan, L. T., Stead, S. M., & Arseneau‐Robar, T. J. M. (2023) · American Journal of Primatology · doi:10.1002/ajp.23565 · Cited by 5
Sensitivity to the Instrumental Value of Choice Increases Across Development
Nussenbaum, K., Katzman, P. L., Lu, H., Zorowitz, S., & Hartley, C. A. (2024) · Psychological Science · doi:10.1177/09567976241256961 · Cited by 4
Context effects in cognitive effort evaluation
Desjardins, S., Tang, R., Yip, S., Roy, M., & Otto, A. R. (2024) · Psychonomic Bulletin & Review · doi:10.3758/s13423-024-02547-8 · Cited by 8
Leue, A., Nieden, K., Scheuble, V., & Beauducel, A. (2020) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/s13415-020-00776-7 · Cited by 4
Does goal congruence dilate the pupil over and above goal relevance?
Kolnes, M., Naar, R., Allïk, J., & Uusberg, A. (2019) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2019.107217 · Cited by 6
Objective but not subjective fatigue increases cognitive task avoidance
Benoit, C.-E., Solopchuk, O., Borragán, G., Carbonnelle, A., Van Durme, S., & Zénon, A. (2017) · doi:10.1101/208322 · Cited by 4
The complexity dividend: when sophisticated inference mattersPreprint
Tavoni, G., Balasubramanian, V., & Gold, J. I. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/563346 · Cited by 4
Motivation Improves Working Memory by Two Processes: Prioritisation and Retrieval ThresholdsPreprint
Grogan, J. P., Randhawa, G., Kim, M., & Manohar, S. (2021) · doi:10.31234/osf.io/qkycj · Cited by 4
The Scientific Study of Passive Thinking: The Methodology of Mind Wandering ResearchPreprint
Murray, S. F., Irving, Z. C., & Krasich, K. (2020) · PsyArXiv (OSF Preprints) · doi:10.31234/osf.io/aqvrc · Cited by 5
Is the juice worth the squeeze? Learning the marginal value of mental effort over timePreprint
Otto, A. R., Braem, S., Silvetti, M., & Vassena, E. (2021) · doi:10.31234/osf.io/9np6f · Cited by 4
Control Limited Perceptual Decision MakingPreprint
de Saa, J. R. C., & Renart, A. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.06.24.497481 · Cited by 5
EffortPreprint
Hendrickx, M. (2024) · doi:10.31234/osf.io/d76ub · Cited by 4
Large Language Models Amplify Human Biases in Moral Decision-MakingPreprint
Cheung, V., Maier, M., & Lieder, F. (2024) · PsyArXiv (OSF Preprints) · doi:10.31234/osf.io/aj46b · Cited by 7
Self-citationNeural basis of cognitive control signals in anterior cingulate cortex during delay discountingPreprint
Seamans, J. K., White, S., Morningstar, M. D., Emberly, E. G., Linsenbardt, D. N., Ma, B., Czachowski, C. L., & Lapish, C. C. (2024) · eLife · doi:10.7554/elife.99930 · Cited by 4
Golob, E. J., Olayo, R. C., Brown, D. M. Y., & Mock, J. R. (2024) · Journal of Speech Language and Hearing Research · doi:10.1044/2024_jslhr-23-00465 · Cited by 3
Learning from outcomes shapes reliance on moral rules versus cost–benefit reasoning
Maier, M., Cheung, V., & Lieder, F. (2025) · Nature Human Behaviour · doi:10.1038/s41562-025-02271-w · Cited by 11
Self-citationFleming, H. A., Stasiak, M. K., Lau, I. H. W., Whines, A., Mehrhof, S. Z., & Nord, C. L. (2025) · Biological Psychiatry Global Open Science · doi:10.1016/j.bpsgos.2025.100645 · Cited by 3
Parenting Practices and Children’s Cognitive Effort: A Laboratory Study
Foley, W., & Radl, J. (2024) · The Journal of Early Adolescence · doi:10.1177/02724316241250062 · Cited by 3
Zekveld, A. A., Kramer, S. E., Heslenfeld, D. J., Versfeld, N. J., & Vriend, C. (2024) · Journal of Speech Language and Hearing Research · doi:10.1044/2024_jslhr-24-00017 · Cited by 3
People accurately predict the shape but not the parameters of skill learning curves
Zhang, X., McDougle, S. D., & Leonard, J. (2025) · Cognition · doi:10.1016/j.cognition.2025.106083 · Cited by 3
Sarrasin, J. B., Riopel, M., Allaire‐Duquette, G., McMullin, S. O., Bélanger, É., Foisy, L. B., & Masson, S. (2025) · Trends in Neuroscience and Education · doi:10.1016/j.tine.2025.100257 · Cited by 4
Are metabolic costs needed to explain cognitive fatigue?
Embrey, J. R., & Inzlicht, M. (2025) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2025.08.001 · Cited by 3
Cognitive labor shapes the desire for social and monetary compensation
Schmitz, L., Bijleveld, E., & Veling, H. (2020) · Motivation and Emotion · doi:10.1007/s11031-020-09856-0 · Cited by 3
Kim, J., & Jeong, B. (2020) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsaa145 · Cited by 4
Greenhouse‐Tucknott, A., Pickering, S., Butterworth, J. B., Smeeton, N. J., Wrightson, J. G., & Dekerle, J. (2021) · Sport Exercise and Performance Psychology · doi:10.1037/spy0000269 · Cited by 5
When global and local information about attentional demands collide: evidence for global dominance
Suh, J., Ileri-Tayar, M., & Bugg, J. M. (2022) · Attention Perception & Psychophysics · doi:10.3758/s13414-022-02521-3 · Cited by 5
Альфа- и тета- ритмы как маркеры когнитивного усилия
Александровна, Ж. Н., & Бакумова, А. Д. (2022) · Российский психологический журнал · doi:10.21702/rpj.2022.2.15 · Cited by 2
Iso‐Ahola, S. E. (2023) · Frontiers in Psychology · doi:10.3389/fpsyg.2023.1181671 · Cited by 4
Explore your experimental designs and theories before you exploit them!
Dubova, M., Sloman, S. J., Andrew, B., Nassar, M. R., & Musslick, S. (2024) · Behavioral and Brain Sciences · doi:10.1017/s0140525x23002303 · Cited by 3
Self-citationQueirazza, F., Cavanagh, J., Philiastides, M. G., & Krishnadas, R. (2024) · Brain Behavior and Immunity · doi:10.1016/j.bbi.2024.03.044 · Cited by 3
Mendes, A., Greiff, S., & Bobrowicz, K. (2024) · Trends in Neuroscience and Education · doi:10.1016/j.tine.2024.100230 · Cited by 8
Does Volunteering Crowd Out Donations? Evidence from Online Experiments
Wu, C., & Eftekhar, M. (2024) · Manufacturing & Service Operations Management · doi:10.1287/msom.2022.0565 · Cited by 3
Mind the instructions: Reward cues are liked first, wanted later
Prutean, N., Vermeylen, L., Kukkonen, N., Steendam, S. T., Eayrs, J. O., Krebs, R. M., Wiersema, J. R., Vassena, E., Boehler, C. N., & Notebaert, W. (2024) · Cognition · doi:10.1016/j.cognition.2024.105885 · Cited by 3
Other-self similarity, motivation, emotion, and learning
Heo, M. (2024) · Learning and Instruction · doi:10.1016/j.learninstruc.2024.102026 · Cited by 3
Hard choices: Children's understanding of the cost of action selection.
Liu, S., Cushman, F. A., Gershman, S. J., Kool, W., & Spelke, E. S. (2019) · eScholarship (California Digital Library) · Cited by 3
Self-citationWhen will's wont wants wanting
Dayan, P. (2021) · Behavioral and Brain Sciences · doi:10.1017/s0140525x20001508 · Cited by 2
Jordan, J., & Rand, D. G. (2017) · SSRN Electronic Journal · doi:10.2139/ssrn.2969063 · Cited by 3
A resource-rational theory of set size effects in visual working memoryPreprint
van den Berg, R., & Ma, W. J. (2017) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/151365 · Cited by 5
Willke, T. L., Yoo, S. B. M., Capotă, M., Musslick, S., Hayden, B. Y., & Cohen, J. D. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/567545 · Cited by 3
Self-citationHumans are primarily model-based and not model-free learners in the two-stage taskPreprint
Hare, T. A., & da Silva, C. F. (2019) · Zurich Open Repository and Archive (University of Zurich) · doi:10.5167/uzh-184469 · Cited by 6
Neuronal adaptation in the course of the prolonged task improves visual stimuli processingPreprint
Maksimenko, V., Kuc, A. K., Frolov, N. S., Hramov, A. E., Pisarchik, A. N., & Lebedev, M. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.04.07.029959 · Cited by 3
An investigation of the effects of self-reported self-control strength on shooting performancePreprint
Englert, C., Dziuba, A., Wolff, W., & Giboin, L. (2020) · doi:10.31234/osf.io/2hncz · Cited by 3
Toward a Cognitive Science of Markets: Economic Agents As Sense-MakersPreprint
Johnson, S. G. B. (2018) · SSRN Electronic Journal · doi:10.2139/ssrn.3250031 · Cited by 4
The best laid plans: Computational principles of ACCPreprint
Holroyd, C. B., & Verguts, T. (2020) · PsyArXiv (OSF Preprints) · doi:10.31234/osf.io/3df8y · Cited by 6
Self-Control in SportsPreprint
Englert, C., Pageaux, B., & Wolff, W. (2020) · doi:10.31234/osf.io/695c2 · Cited by 3
Control of mental representations in human planning.Preprint
Ho, M. K., Abel, D. L., Correa, C. G., Littman, M. L., Cohen, J. D., & Griffiths, T. L. (2021) · arXiv (Cornell University) · Cited by 3
Self-citationBoroujeni, K. B., Sigona, M. K., Treuting, R. L., Manuel, T. J., Caskey, C. F., & Womelsdorf, T. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.08.04.455080 · Cited by 3
Rationality and Relevance RealizationPreprint
Riedl, A., & Vervaeke, J. (2022) · OSF Preprints (OSF Preprints) · doi:10.31219/osf.io/vymwu · Cited by 4
Turi, Z., Mittner, M., Lehr, A., Bürger, H., Antal, A., & Paulus, W. (2020) · doi:10.31234/osf.io/4y3uh · Cited by 3
Task Performance Errors and Rewards Affect Voluntary Task ChoicesPreprint
Spitzer, M., Musslick, S., Kiesel, A., & Dignath, D. (2022) · doi:10.31234/osf.io/3wd9r · Cited by 3
Self-citationJongkees, B. J., Todd, M. D., Lloyd, K., Dayan, P., & Cohen, J. D. (2023) · PsyArXiv (OSF Preprints) · doi:10.31234/osf.io/quhns · Cited by 4
Self-citationWhat is mental effort: a clinical perspectivePreprint
Wolpe, N., Holton, R., & Fletcher, P. C. (2023) · doi:10.31234/osf.io/tkbq3 · Cited by 3
The medial frontal cortex, performance monitoring, cognitive control, and decision making
Kirschner, H., & Ullsperger, M. (2023) · Elsevier eBooks · doi:10.1016/b978-0-12-820480-1.00048-6 · Cited by 4
Experimental evidence that exerting effort increases meaningPreprint
Campbell, A. V., Wang, Y., & Inzlicht, M. (2024) · doi:10.31234/osf.io/z3g9c · Cited by 3
Musslick, S., Cohen, J. D., & Goschke, T. (2024) · Elsevier eBooks · doi:10.1016/b978-0-12-820480-1.00058-9 · Cited by 3
Self-citationNeural basis of cognitive control signals in anterior cingulate cortex during delay discountingPreprint
Seamans, J. K., Emberly, E. G., White, S., Morningstar, M. D., Linsenbardt, D. N., Ma, B., Czachowski, C. L., & Lapish, C. C. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.06.07.597894 · Cited by 3
When negative affect drives attentional control: The role of motivational orientation
Zhang, J., Kiesel, A., & Dignath, D. (2022) · Motivation and Emotion · doi:10.1007/s11031-022-09951-4 · Cited by 2
Liegel, N., Schneider, D. A., Wascher, E., Klatt, L., & Arnau, S. (2024) · Psychophysiology · doi:10.1111/psyp.14678 · Cited by 2
Cohen, S. G., & Dishon, G. (2024) · Journal of Computer Assisted Learning · doi:10.1111/jcal.13086 · Cited by 3
Yang, G., & Jiang, J. (2025) · PLoS Biology · doi:10.1371/journal.pbio.3002987 · Cited by 4
No evidence for decision fatigue using large-scale field data from healthcare
Andersson, D., Lindberg, M., Tinghög, G., & Persson, E. (2025) · Communications Psychology · doi:10.1038/s44271-025-00207-8 · Cited by 3
Cardiovascular responses to mental fatigue in a sequential task paradigm
Place, U., Paubel, P., & Capa, R. L. (2025) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2025.113210 · Cited by 2
How self-compassion informs decision-making in ordinary times
Bailis, D. S., & Mathews, N. K. (2025) · Self and Identity · doi:10.1080/15298868.2025.2554968 · Cited by 2
Cognitive and Neural Mechanisms of Motivation, Reward, and Self-Control
Goschke, T. (2025) · Springer eBooks · doi:10.1007/978-3-031-87947-0_10 · Cited by 2
The Temporal Dynamics of Attention to Threat and GAD Symptoms: A Study of LPP Slopes
Swanson, B., Judah, M. R., & Shields, G. S. (2025) · Psychophysiology · doi:10.1111/psyp.70157 · Cited by 2
The motivational consequences of boredom
Mlynski, C., Goschke, T., Korb, F. M., & Job, V. (2025) · Cognition & Emotion · doi:10.1080/02699931.2025.2568554 · Cited by 2
The importance of attention for variation in learning to learn
Nash Unsworth, A., & Miller, A. L. (2025) · Journal of Memory and Language · doi:10.1016/j.jml.2025.104711 · Cited by 3
Acute stress impairs decision-making at varying levels of decision complexity
Doroc, K., Yadav, N., & Murawski, C. (2025) · Communications Psychology · doi:10.1038/s44271-025-00355-x · Cited by 7
Perception of effort decreases with motor sequence learning
Goushe, B. G., Mangin, T., Pageaux, B., & Neva, J. L. (2025) · Scientific Reports · doi:10.1038/s41598-025-20733-z · Cited by 3
Huang, H., Li, Y., Qiu, L., Xiao, S., & Zhang, X. (2025) · Information & Management · doi:10.1016/j.im.2025.104298 · Cited by 2
When effort fuels risk: Cognitive exertion increases risk-taking for gains but reduces it for losses
Zheng, Y., Jiang, H., & Yang, Z. (2026) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/s13415-025-01381-2 · Cited by 2
Brain activity inhibition during Short Video Viewing: neurochemical insights
Hong, T., Su, C., Zhou, H., Geng, F., & Hu, Y. (2026) · NeuroImage · doi:10.1016/j.neuroimage.2026.121722 · Cited by 2
Increasing the cognitive demand of upper-limb psychomotor tasks increases the perception of effort
Villeneuve, E., Mangin, T., Gaveau, J., Maso, F. D., Rainville, P., & Pageaux, B. (2026) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/s13415-025-01393-y · Cited by 2
Characterizing alterations in attention networks under high mental workload
Wu, L., Ouyang, A., Tang, X., Sun, K., Ma, C., Feng, T., Li, Y., Wang, L., Lu, H., Lin, X., et al. (2026) · Scientific Reports · doi:10.1038/s41598-026-41477-4 · Cited by 2
Cognitive effort engagement across the adult life span
Crawford, J. L., & Braver, T. S. (2026) · Advances in motivation science · doi:10.1016/bs.adms.2026.02.002 · Cited by 2
Germane processes moderate the effectiveness of complex desirable difficulty tasks
Zeitlhofer, I., & Zumbach, J. (2026) · Instructional Science · doi:10.1007/s11251-026-09807-1 · Cited by 3
Nador, J., Harel, A., Juvina, I., & Minnery, B. S. (2020) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_01566 · Cited by 3
On the Past, Present and Future of Volition Research in Sports
Wolff, W., & Englert, C. (2021) · Zeitschrift für Sportpsychologie · doi:10.1026/1612-5010/a000339 · Cited by 2
Everything comes at a price: Considerations in modeling effort-based choice
Białaszek, W., Marcowski, P., & Mizak, S. (2022) · Behavioural Processes · doi:10.1016/j.beproc.2022.104692 · Cited by 3
Lachman, I., Hadar, I., & Hertz, U. (2022) · Royal Society Open Science · doi:10.1098/rsos.211885 · Cited by 2
The neural mechanisms underlying effort process modulated by efficacy
Cao, S., Liu, X., & Wu, H. (2022) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2022.108314 · Cited by 4
The M-Commerce of Solar Energy Applications: An Analysis of Solar Energy Consumers’ Effort Paradox
Nicolau, C., Henter, R., Comsit, M., & Roman, N. A. (2022) · Electronics · doi:10.3390/electronics11152357 · Cited by 2
Metadata
- Authors
- Shenhav, A., Musslick, S., Lieder, F., Kool, W., Griffiths, T. L., Cohen, J. D., & Botvinick, M. M.
- Affiliations
- Brown University (US)
- Princeton University (US)
- University of California, Berkeley (US)
- Harvard University (US)
- Google DeepMind (United Kingdom) (GB)
- Corresponding author
- Shenhav, Amitai
- ORCID
- Venue
- Annual Review of Neuroscience
- Publisher
- Annual Reviews
- Published
- 2017-07-25
- Volume
- 40
- Issue
- 1
- Pages
- 99-124
- ISSN
- 0147-006X (ISSN-L)
- 1545-4126
- OpenAlex
- W2600886565
- Cited by
- 1,077
- References
- 196
- Citations by year
- 2026: 124 · 2025: 122 · 2024: 149 · 2023: 117 · 2022: 123 · 2021: 124 · 2020: 112 · 2019: 117 · 2018: 60 · 2017: 23
- FWCI
- 9.54
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Annual Review of Neuroscience (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Social Sciences › Psychology › Applied Psychology › Behavioral Health and Interventions
- Social Sciences › Arts and Humanities › Philosophy › Free Will and Agency
- Keywords
- cognitive effort, cognitive control, effort cost, cognitive resource allocation, aversive experience, cognitive limitations
- MeSH terms
- Cognition, Decision Making, Humans, Motivation, Reward, Prefrontal Cortex, Executive Function
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