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 101–200 of 1,000
Wascher, E., Reiser, J. E., Rinkenauer, G., Larra, M. F., Dreger, F. A., Schneider, D. A., Karthaus, M., Getzmann, S., Gutberlet, M., & Arnau, S. (2021) · Human Factors The Journal of the Human Factors and Ergonomics Society · doi:10.1177/00187208211007707 · Cited by 66
Now you see it, now you don’t: Solid and subtle differences between Hedonic and Eudaimonic Wellbeing
Thorsteinsen, K., & Vittersø, J. (2019) · The Journal of Positive Psychology · doi:10.1080/17439760.2019.1639794 · Cited by 77
Srivastava, P., Nozari, E., Kim, J. Z., Ju, H., Zhou, D., Becker, C. O., Pasqualetti, F., Pappas, G. J., & Bassett, D. S. (2020) · Network Neuroscience · doi:10.1162/netn_a_00158 · Cited by 65
On Valence: Imperative or Representation of Value?
Carruthers, P. (2021) · The British Journal for the Philosophy of Science · doi:10.1086/714985 · Cited by 72
We Are All Behavioural, More, or Less: A Taxonomy of Consumer Decision-Making
Stango, V., & Zinman, J. (2020) · The Review of Economic Studies · doi:10.1093/restud/rdac055 · Cited by 91
The tenacious brain: How the anterior mid-cingulate contributes to achieving goals
Touroutoglou, A., Andreano, J. M., Dickerson, B. C., & Barrett, L. F. (2019) · Cortex · doi:10.1016/j.cortex.2019.09.011 · Cited by 70
Kardan, O., Adam, K. C. S., Mance, I., Churchill, N. W., Vogel, E. K., & Berman, M. G. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.116622 · Cited by 64
Yee, D. M., Crawford, J. L., Lamichhane, B., & Braver, T. S. (2021) · Journal of Neuroscience · doi:10.1523/jneurosci.2550-20.2021 · Cited by 64
The transdiagnostic structure of mental effort avoidance
Patzelt, E. H., Kool, W., Millner, A. J., & Gershman, S. J. (2019) · Scientific Reports · doi:10.1038/s41598-018-37802-1 · Cited by 72
Self-citationA computational perspective on the roles of affect in cognitive control
Grahek, I., Musslick, S., & Shenhav, A. (2020) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2020.02.001 · Cited by 64
Self-citationCausal role of lateral prefrontal cortex in mental effort and fatigue
Soutschek, A., & Tobler, P. N. (2020) · Human Brain Mapping · doi:10.1002/hbm.25146 · Cited by 66
Individual Differences in the Intensity and Consistency of Attention
Nash Unsworth, A., & Miller, A. L. (2021) · Current Directions in Psychological Science · doi:10.1177/09637214211030266 · Cited by 72
Moral Utility Theory: Understanding the motivation to behave (un)ethically
Hirsh, J. B., Lu, J. G., & Galinsky, A. D. (2018) · Research in Organizational Behavior · doi:10.1016/j.riob.2018.10.002 · Cited by 67
Functional Involvement of Human Periaqueductal Gray and Other Midbrain Nuclei in Cognitive Control
Kragel, P. A., Bianciardi, M., Hartley, L., Matthewson, G., Choi, J., Quigley, K. S., Wald, L. L., Wager, T. D., Barrett, L. F., & Satpute, A. B. (2019) · Journal of Neuroscience · doi:10.1523/jneurosci.2043-18.2019 · Cited by 61
Mindsets in the clinic: Applying mindset theory to clinical psychology
Schroder, H. S. (2020) · Clinical Psychology Review · doi:10.1016/j.cpr.2020.101957 · Cited by 74
Cognitive effort exertion enhances electrophysiological responses to rewarding outcomes
Bogdanov, M., Renault, H., LoParco, S., Weinberg, A., & Otto, A. R. (2021) · Cerebral Cortex · doi:10.1093/cercor/bhab480 · Cited by 61
Effortless training of attention and self-control: mechanisms and applications
Tang, Y.-Y., Tang, R., Posner, M. I., & Gross, J. J. (2022) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2022.04.006 · Cited by 60
Does Attention Increase the Value of Choice Alternatives?
Mormann, M. M., & Russo, J. E. (2021) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2021.01.004 · Cited by 69
The effort paradox: Effort is both costly and valuedPreprint
Inzlicht, M., Shenhav, A., & Olivola, C. Y. (2017) · PsyArXiv (OSF Preprints) · doi:10.31234/osf.io/b5a2m · Cited by 75
Self-citationDissociable neural mechanisms track evidence accumulation for selection of attention versus action
Shenhav, A., Straccia, M. A., Musslick, S., Cohen, J. D., & Botvinick, M. (2018) · Nature Communications · doi:10.1038/s41467-018-04841-1 · Cited by 62
Self-citationSripada, C. (2020) · Noûs · doi:10.1111/nous.12332 · Cited by 59
Locus coeruleus neurons encode the subjective difficulty of triggering and executing actions
Bornert, P., & Bouret, S. (2021) · PLoS Biology · doi:10.1371/journal.pbio.3001487 · Cited by 59
Do humans prefer cognitive effort over doing nothing?
Wu, R., Ferguson, A. M., & Inzlicht, M. (2022) · Journal of Experimental Psychology General · doi:10.1037/xge0001320 · Cited by 63
Cutsem, J. V., Schuerbeek, P. V., Pattyn, N., Raeymaekers, H., Mey, J. D., MEEUSEN, R. R., & Roelands, B. (2022) · Cortex · doi:10.1016/j.cortex.2022.06.006 · Cited by 63
Gilbert, S. J. (2024) · Cognition · doi:10.1016/j.cognition.2024.105783 · Cited by 74
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
The Sense of Effort: a Cost-Benefit Theory of the Phenomenology of Mental Effort
Székely, M., & Michael, J. (2020) · Review of Philosophy and Psychology · doi:10.1007/s13164-020-00512-7 · Cited by 65
No ego-depletion effect without a good control task
Mangin, T., André, N., Benraïss, A., Pageaux, B., & Audiffren, M. F. (2021) · Psychology of sport and exercise · doi:10.1016/j.psychsport.2021.102033 · Cited by 65
Planning Complexity Registers as a Cost in Metacontrol
Kool, W., Gershman, S. J., & Cushman, F. A. (2018) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_01263 · Cited by 61
Self-citationWolff, W., Bieleke, M., Hirsch, A., Wienbruch, C., Gollwitzer, P. M., & Schüler, J. (2018) · Scientific Reports · doi:10.1038/s41598-018-34009-2 · Cited by 58
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
Bermúdez, J. P., & Massin, O. (2022) · Philosophy Compass · doi:10.1111/phc3.12894 · Cited by 60
Too bored for sports? Adaptive and less-adaptive latent personality profiles for exercise behavior
Wolff, W., Bieleke, M., Stähler, J., & Schüler, J. (2020) · Psychology of sport and exercise · doi:10.1016/j.psychsport.2020.101851 · Cited by 65
Wainstein, G., Rojas‐Líbano, D., Medel, V., Alnæs, D., Kolskår, K. K., Endestad, T., Laeng, B., Ossandón, T., Crossley, N. A., Matar, E., et al. (2021) · Network Neuroscience · doi:10.1162/netn_a_00205 · Cited by 55
Computational mechanisms underlying the dynamics of physical and cognitive fatigue
Matthews, J., Pisauro, M. A., Jurgelis, M., Müller, T., Vassena, E., Chong, T. T. ‐., & Apps, M. A. J. (2023) · Cognition · doi:10.1016/j.cognition.2023.105603 · Cited by 62
Motivation dynamically increases noise resistance by internal feedback during movement
Manohar, S., Muhammed, K., Fallon, S. J., & Husain, M. (2018) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2018.07.011 · Cited by 59
A Primer on the Role of Boredom in Self-Controlled Sports and Exercise Behavior
Wolff, W., Bieleke, M., Martarelli, C., & Danckert, J. A. (2021) · Frontiers in Psychology · doi:10.3389/fpsyg.2021.637839 · Cited by 54
Aversive Motivation and Cognitive ControlPreprint
Yee, D. M., Leng, X., Shenhav, A., & Braver, T. S. (2021) · PsyArXiv (OSF Preprints) · doi:10.1016/j.neubiorev.2021.12.016 · Cited by 59
Self-citationPharmacological evidence for the implication of noradrenaline in effort
Borderies, N., Mattioni, J., Bornert, P., Gilardeau, S., & Bouret, S. (2020) · PLoS Biology · doi:10.1371/journal.pbio.3000793 · Cited by 49
Task-evoked pupillary responses track effort exertion: Evidence from task-switching
Castanheira, K. D. S., LoParco, S., & Otto, A. R. (2020) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/s13415-020-00843-z · Cited by 61
Sleep deprivation, effort allocation and performance
Massar, S. A. A., Lim, J., & Huettel, S. A. (2019) · Progress in brain research · doi:10.1016/bs.pbr.2019.03.007 · Cited by 58
Cromwell, H. C., Abe, N., Barrett, K. C., Caldwell‐Harris, C. L., Gendolla, G. H. E., Koncz, R., & Sachdev, P. S. (2020) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2020.02.032 · Cited by 57
Umemoto, A., Inzlicht, M., & Holroyd, C. B. (2018) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2018.06.010 · Cited by 54
The effect of metacognitive training on confidence and strategic reminder setting
Engeler, N. C., & Gilbert, S. J. (2020) · PLoS ONE · doi:10.1371/journal.pone.0240858 · Cited by 52
Frömer, R., & Shenhav, A. (2021) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2021.12.006 · Cited by 57
Self-citationKuznetsova, E., Ляшенко, А., Alexandrovna, Z. N., & Arsalidou, M. (2024) · Frontiers in Psychology · doi:10.3389/fpsyg.2024.1411981 · Cited by 87
Jiang, J., Wagner, A. D., & Egner, T. (2018) · eLife · doi:10.7554/elife.39497 · Cited by 58
The Perils of Losing Control: Why Self-Control Is Not Just Another Value-Based Decision
Shenhav, A. (2017) · Psychological Inquiry · doi:10.1080/1047840x.2017.1337407 · Cited by 51
Self-citationCuriosity 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
The Bidirectional Social-Cognitive Mechanisms of the Social-Attention Symptoms of Autism
Mundy, P. C., & Bullen, J. C. (2022) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2021.752274 · Cited by 57
Uncertainty and computational complexity
Bossaerts, P. L., Yadav, N., & Murawski, C. (2018) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2018.0138 · Cited by 55
Task duration and task order do not matter: no effect on self-control performance
Wolff, W., Sieber, V., Bieleke, M., & Englert, C. (2019) · Psychological Research · doi:10.1007/s00426-019-01230-1 · Cited by 51
It’s all relative: Reward-induced cognitive control modulation depends on context.
Otto, A. R., & Vassena, E. (2020) · Journal of Experimental Psychology General · doi:10.1037/xge0000842 · Cited by 50
Facing successfully high mental workload and stressors: An fMRI study
Causse, M., Lepron, E., Mandrick, K., Peysakhovich, V., Berry, I., Callan, D. E., & Rémy, F. (2021) · Human Brain Mapping · doi:10.1002/hbm.25703 · Cited by 59
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
An Integrated Perspective of Effort and Perception of Effort
Halperin, I., & Vigotsky, A. D. (2024) · Sports Medicine · doi:10.1007/s40279-024-02055-8 · Cited by 72
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
Frolov, N. S., Maksimenko, V., Khramova, M. V., Pisarchik, A. N., & Hramov, A. E. (2019) · The European Physical Journal Special Topics · doi:10.1140/epjst/e2019-900077-7 · Cited by 49
Dissociable influences of reward and punishment on adaptive cognitive control
Leng, X., Yee, D. M., Ritz, H., & Shenhav, A. (2021) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1009737 · Cited by 59
Self-citationCognitive Control as a Multivariate Optimization Problem
Ritz, H., Leng, X., & Shenhav, A. (2022) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_01822 · Cited by 57
Self-citationVigor, Effort-Related Aspects of Motivation and Anhedonia
Treadway, M. T., & Salamone, J. D. (2022) · Current topics in behavioral neurosciences · doi:10.1007/7854_2022_355 · Cited by 50
Evidence or Confidence: What Is Really Monitored during a Decision?
Lee, D. G., Jean Daunizeau, A., & Pezzulo, G. (2023) · Psychonomic Bulletin & Review · doi:10.3758/s13423-023-02255-9 · Cited by 57
Bustamante, L. A., Oshinowo, T., Lee, J. R., Tong, E., Burton, A. R., Shenhav, A., Cohen, J. D., & Daw, N. D. (2023) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2221510120 · Cited by 59
Self-citationAdaptive control and the avoidance of cognitive control demands across development
Niebaum, J. C., Chevalier, N., Guild, R. M., & Munakata, Y. (2018) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2018.04.029 · Cited by 52
Benoit, C.-É., Solopchuk, O., Borragán, G., Carbonnelle, A., van Durme, S., & Zénon, A. (2018) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2018.06.017 · Cited by 59
Explicit nonconceptual metacognition
Carruthers, P. (2020) · Philosophical Studies · doi:10.1007/s11098-020-01557-1 · Cited by 46
Kraft, B., Bø, R., Jonassen, R., Heeren, A., Ulset, V. S., Stiles, T. C., & Landrø, N. I. (2023) · Psychiatry Research Communications · doi:10.1016/j.psycom.2023.100120 · Cited by 50
Going beyond the individual level in self-control research
Hofmann, W. (2023) · Nature Reviews Psychology · doi:10.1038/s44159-023-00256-y · Cited by 52
The Nature of the Relationship Between Anxiety and the Error-Related Negativity Across Development
Moser, J. S. (2017) · Current Behavioral Neuroscience Reports · doi:10.1007/s40473-017-0132-7 · Cited by 49
Dopamine and proximity in motivation and cognitive control
Westbrook, A., & Frank, M. J. (2018) · Current Opinion in Behavioral Sciences · doi:10.1016/j.cobeha.2017.12.011 · Cited by 47
Metacontrol of decision-making strategies in human aging
Bolenz, F., Kool, W., Reiter, A. M. F., & Eppinger, B. (2019) · eLife · doi:10.7554/elife.49154 · Cited by 45
Self-citationKramer, A., van Duijvenvoorde, A. C. K., Krabbendam, L., & Huizenga, H. M. (2020) · Cognitive Development · doi:10.1016/j.cogdev.2020.100978 · Cited by 54
Cognitive effort and active inference
Parr, T., Holmes, E., Friston, K. J., & Pezzulo, G. (2023) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2023.108562 · Cited by 54
Teubner-Rhodes, S. E., Vaden, K. I., Dubno, J. R., & Eckert, M. A. (2017) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2017.05.027 · Cited by 45
Why has evolution not selected for perfect self-control?
Hayden, B. Y. (2018) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2018.0139 · Cited by 50
Error-related pupil dilation is sensitive to the evaluation of different error types
Maier, M. E., Ernst, B., & Steinhauser, M. (2018) · Biological Psychology · doi:10.1016/j.biopsycho.2018.12.013 · Cited by 47
Mäki-Marttunen, V., Hagen, T., & Espeseth, T. (2019) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/s13415-019-00691-6 · Cited by 53
Catecholaminergic modulation of the avoidance of cognitive control.
Froböse, M. I., Swart, J. C., Cook, J. L., Geurts, D. E. M., den Ouden, H. E. M., & Cools, R. (2018) · Journal of Experimental Psychology General · doi:10.1037/xge0000523 · Cited by 53
Turi, Z., Mittner, M., Lehr, A., Bürger, H., Antal, A., & Paulus, W. (2020) · eNeuro · doi:10.1523/eneuro.0126-20.2020 · Cited by 45
Learning to Overexert Cognitive Control in a Stroop Task
Bustamante, L. A., Lieder, F., Musslick, S., Shenhav, A., & Cohen, J. D. (2021) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/s13415-020-00845-x · Cited by 52
Self-citationRules of Thumb and Attention Elasticities: Evidence from Under- and Overreaction to Taxes
Morrison, W. G., & Taubinsky, D. (2019) · National Bureau of Economic Research · doi:10.3386/w26180 · Cited by 48
Putting perception into action with inverse optimal control for continuous psychophysics
Straub, D., & Rothkopf, C. A. (2022) · eLife · doi:10.7554/elife.76635 · Cited by 47
The feeling of effort during mental activity
Bijleveld, E. (2018) · Consciousness and Cognition · doi:10.1016/j.concog.2018.05.013 · Cited by 55
Designing and Interpreting Psychophysical Investigations of Cognition
Waskom, M., Okazawa, G., & Kiani, R. (2019) · Neuron · doi:10.1016/j.neuron.2019.09.016 · Cited by 49
Bieleke, M., Martarelli, C., & Wolff, W. (2021) · Current Psychology · doi:10.1007/s12144-021-02106-7 · Cited by 42
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
Brown, V. M., Hallquist, M. N., Frank, M. J., & Dombrovski, A. Y. (2022) · Cognition · doi:10.1016/j.cognition.2022.105233 · Cited by 51
Grund, A., Fries, S., Nückles, M., Renkl, A., & Roelle, J. (2024) · Educational Psychology Review · doi:10.1007/s10648-024-09852-7 · Cited by 56
Complexity affects performance, cognitive load, and awareness
Zeitlhofer, I., Zumbach, J., & Schweppe, J. (2024) · Learning and Instruction · doi:10.1016/j.learninstruc.2024.102001 · Cited by 58
Empirical evidence for resource-rational anchoring and adjustment
Lieder, F., Griffiths, T. L., Huys, Q. J. M., & Goodman, N. D. (2017) · Psychonomic Bulletin & Review · doi:10.3758/s13423-017-1288-6 · Cited by 45
Self-citationA rational reinterpretation of dual-process theories
Milli, S., Lieder, F., & Griffiths, T. L. (2021) · Cognition · doi:10.1016/j.cognition.2021.104881 · Cited by 49
Self-citationAn experimental manipulation of the value of effort
Lin, H., Westbrook, A., Fan, F., & Inzlicht, M. (2024) · Nature Human Behaviour · doi:10.1038/s41562-024-01842-7 · Cited by 60
Causal Evidence for Learning-Dependent Frontal Lobe Contributions to Cognitive Control
Muhle-Karbe, P. S., Jiang, J., & Egner, T. (2017) · Journal of Neuroscience · doi:10.1523/jneurosci.1467-17.2017 · Cited by 42
Dopamine promotes instrumental motivation, but reduces reward-related vigour
Grogan, J. P., Sandhu, T., Hu, M. T., & Manohar, S. (2020) · eLife · doi:10.7554/elife.58321 · Cited by 38
Grahek, I., Frömer, R., Fahey, M. P., & Shenhav, A. (2022) · Cerebral Cortex · doi:10.1093/cercor/bhac215 · Cited by 40
Self-citationFormica, S., González‐García, C., Senoussi, M., Marinazzo, D., & Braß, M. (2022) · eNeuro · doi:10.1523/eneuro.0225-22.2022 · Cited by 41
What Is Mental Effort: A Clinical Perspective
Wolpe, N., Holton, R., & Fletcher, P. C. (2024) · Biological Psychiatry · doi:10.1016/j.biopsych.2024.01.022 · Cited by 49
Niebaum, J. C., Chevalier, N., Guild, R. M., & Munakata, Y. (2020) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/s13415-020-00832-2 · Cited by 44
Humans can navigate complex graph structures acquired during latent learning
Rmus, M., Ritz, H., Hunter, L. E., Bornstein, A. M., & Shenhav, A. (2019) · Cognition · doi:10.1016/j.cognition.2022.105103 · Cited by 42
Self-citationWinn, M. B., & Teece, K. H. (2022) · Journal of Speech Language and Hearing Research · doi:10.1044/2022_jslhr-21-00631 · Cited by 40
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