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Preprints
Su, Y.H. & Shenhav, A. Rejection-based choices discourage voters from opting out. [Preprint, News]
Xu, A., Frömer, R., Wolff, W., Shenhav, A. Do you ever get tired of being wrong? The unique impact of feedback on subjective experiences of effort-based decision-making. [Preprint]
*Grahek, I., *Leng, X., Musslick, S., & Shenhav, A. Control adjustment costs limit goal flexibility: Empirical evidence and a theoretical account. [Preprint]
*Ritz, H., *Frömer, R., & Shenhav, A. Phantom controllers: Misspecified models create the false appearance of adaptive control during value-based choice. [Preprint]
*Frömer, R., *Callaway, F., Griffiths, T., & Shenhav, A. Considering what we know and what we don't know: Expectations and confidence guide value integration in value-based decision-making. [Preprint]
Shenhav, A., Musslick, S., Botvinick, M. M., & Cohen, J. D. Misdirected vigor: Differentiating the control of value from the value of control. [Preprint; Target Article]
Frömer, R. & Shenhav, A. Spatiotemporally distinct neural mechanisms underlie our reactions to and comparison between value-based options. [Preprint]
Galla, B., Baelen, R. N., Fiore, H. M., Hutt, S., & Shenhav, A. Social media desire and impulsiveness: Intensified by self-Immersion, reduced by mindfulness. [Preprint]
2024 & In Press
*Prater Fahey, M., *Yee, D.M., Leng, X., Tarlow, M., & Shenhav, A. (2025). Motivational context determines the impact of aversive outcomes on mental effort allocation. Cognition 254:105973. [Article]
Leng, X., Frömer, R., Summe, T., & Shenhav, A. (2024). Mutual inclusivity improves decision-making by smoothing out choice's competitive edge. Nature Human Behaviour. [Article]
Shenhav, A. (2024). The affective gradient hypothesis: An affect-centered account of motivated behavior. Trends in Cognitive Sciences 28(12):1089-1104. [Article]
Frömer, R., Nassar, M.R., Ehinger, B.V., & Shenhav, A. (2024). Common neural choice signals emerge artefactually amidst multiple distinct value signals. Nature Human Behaviour 8:2194–2208 . [Article]
Zhang, Y., Leng, X., & Shenhav, A. (2024). Make or break: The influence of expected challenges and rewards on the motivation and experience associated with cognitive effort exertion. Journal of Cognitive Neuroscience 36 (12): 2863–2885. [Article]
Ritz, H. & Shenhav, A. (2024). Orthogonal neural encoding of targets and distractors supports multivariate cognitive control. Nature Human Behaviour 8:945–961 [Article; Press Release]
Shenhav, A., Banich, M.T., Beste, C., Buschman, T., Friedman, N.P., Gratton, C., Koechlin, E., Schuck, N., Wang, X-J., O’Doherty, J. (2024). Integrative Psychological, Computational, and Mechanistic Approaches to Frontal Lobe Function. In: The Frontal Cortex: Organization, Networks, and Function, edited by M. T. Banich, S. N. Haber, and T. W. Robbins. Strüngmann Forum Reports, vol. 35, J. R. Lupp, series editor. Cambridge, MA: MIT Press. [Chapter]
*Leng, X., *Fengler, A., ^Shenhav, A., & ^Frank, M. (2024). The Perils of Omitting Omissions when Modeling Evidence Accumulation. Proceedings of the 46th Annual Meeting of the Cognitive Science Society. Rotterdam, NL. [Paper].
2023
Bustamante, L.A., Oshinowo, T., Lee, J.R., Tong, E., Burton, A.R., Shenhav, A., Cohen, J.D., Daw, N.D. (2023). Effort Foraging Task reveals positive correlation between individual differences in the cost of cognitive and physical effort in humans and relationship to self-reported motivation and affect. Proceedings of the National Academy of Sciences 120 (50): e2221510120.[Preprint]
Ritz, H. & Shenhav, A. (2023). Humans reconfigure target and distractor processing to address distinct task demands. Psychological Review 131(2): 349–372. [Article]
Grahek, I., Frömer, R., Prater Fahey, M., & Shenhav, A. (2023). Learning when effort matters: Neural dynamics underlying updating and adaptation to changes in performance efficacy. Cerebral Cortex 33(5): 2395–2411. [Article]
Braem, S., Held, L., Shenhav, A., Frömer, R. (2023). Learning how to reason and deciding when to decide. Commentary on Advancing Theorizing about Fast-and-Slow Thinking by Wim De Neys. Behavioral and Brain Sciences 46: e115. [Article; Target Article]
Grahek, I., Leng, X., Musslick, S., & Shenhav, A. (2023). The Cost of Adjusting Cognitive Control: A Dynamical Systems Approach. Cognitive Computational Neuroscience Conference, Oxford, UK [Paper].
2022
Collins, A.G.E. & Shenhav, A. (2022). Advances in modeling learning and decision-making in neuroscience. Neuropsychopharmacology 47: 104-118. [Article]
Frömer, R., & Shenhav, A. (2022). Filling the gaps: Cognitive control as a critical lens for understanding mechanisms of value-based decision-making. Neuroscience & Biobehavioral Reviews, 134, 104483. [Article]
Ritz, H., Leng, X., Shenhav, A. (2022). Cognitive control as a multivariate optimization problem. Journal of Cognitive Neuroscience 34(4): 569–591. [Article]
Fontanesi, L., *Shenhav, A., *Gluth, S. (2022). Disentangling choice value and choice conflict in sequential decisions under risk. PLOS Computational Biology 18(10): e1010478. [Article]
Rmus, M., Ritz, H., Hunter, L.E., *Bornstein, A.M., & *Shenhav, A. (2022). Humans can navigate complex graph structures acquired during latent learning. Cognition 225, 105103. [Article]
Kane, G. A., James, M. H., Shenhav, A., Daw, N. D., Cohen, J. D., Aston-Jones, G. (2022). Rat anterior cingulate cortex continuously signals decision variables in a patch foraging task. Journal of Neuroscience 42 (29) 5730-5744. [Article]
Yee, D. M., Leng, X., Shenhav, A., & Braver, T. S. (2022). Aversive Motivation and Cognitive Control. Neuroscience & Biobehavioral Reviews, 133, 104493. [Article]
Kim, J., Frömer, R., Leng, X., & Shenhav, A. (2022). Confidently conflicted: The impact of value confidence on choice varies with choice context. In Proceedings of the 5th Multidisciplinary Conference on Reinforcement Learning and Decision Making. Providence, RI. [Paper].
Leng, X., Frömer, R., & Shenhav, A. (2022). A theoretical and experimental investigation of the role of mutual inhibition in shaping choice. In Proceedings of the 5th Multidisciplinary Conference on Reinforcement Learning and Decision Making. Providence, RI. [Paper].
Frömer, R., Gluth, S., & Shenhav, A (2022). Hidden knobs: Representations for flexible goal-directed decision-making. In Proceedings of the 5th Multidisciplinary Conference on Reinforcement Learning and Decision Making. Providence, RI. [Paper].
Prater Fahey, M., Yee, D., Leng, X., Tarlow, M., & Shenhav, A. (2022). Disentangling influences of aversive motivation on control allocation across distinct motivational contexts. In Proceedings of the 5th Multidisciplinary Conference on Reinforcement Learning and Decision Making. Providence, RI. [Paper].
*Grahek, I., *Leng, X., Prater Fahey, M., Yee, D., & Shenhav, A. (2022). Empirical and Computational Evidence for Reconfiguration Costs During Within-Task Adjustments in Cognitive Control. In Proceedings of the 44th Annual Meeting of the Cognitive Science Society. Toronto, CA. [Paper].
2021
Leng, X., Yee, D., Ritz, H., & Shenhav, A. (2021). Dissociable influences of reward and punishment on adaptive cognitive control. PLOS Computational Biology. [Article; Press Release]
Shenhav, A., Prater Fahey, M., & Grahek, I. (2021). Decomposing the motivation to exert mental effort. Current Directions in Psychological Science 30(4): 307-314. [Article]
Wolff, W., Hirsch, A., Bieleke, M., & Shenhav, A. (2021). Neuroscientific approaches to self-regulatory control in sports. In C. Englert & I. Taylor (eds.), Self-regulation and motivation in sport and exercise psychology. London: Routledge. [Chapter]
*Frömer, R, *Lin, H., Dean Wolf, C.K., Inzlicht, M. & Shenhav, A. (2021). Expectations of reward and efficacy guide cognitive control allocation. Nature Communications, 12: 1030. [Article, Press Release, Supplement, Code]
Bustamante, L., Lieder, F., Musslick, S., Shenhav, A., Cohen, J.D. (2021). Learning to Overexert Cognitive Control in a Stroop Task. Cognitive, Affective & Behavioral Neuroscience. [Article]
2020
Grahek I., Musslick S., & Shenhav A. (2020). A computational perspective on the roles of affect in cognitive control. International Journal of Psychophysiology, 151: 25-34. [Article, Code].
Sadeghiyeh, H., Wang, S., Alberhasky, M.R., Kyllo, H.M., Shenhav, A., Wilson, R.C. (2020). Temporal discounting correlates with directed exploration but not with random exploration. Scientific Reports, 10(1): 1–10. [Article]
Ritz, H., Frömer, R., & Shenhav, A. (2020). Bridging Motor and Cognitive Control: It’s About Time! Trends in Cognitive Sciences, 24(1): 6-8. [Article; Target Article]
Ritz, H., DeGutis, J., Frank M.J., Esterman, M., & Shenhav, A. (2020). An evidence accumulation model of motivational and developmental influences over sustained attention. In Proceedings of the 42nd Annual Meeting of the Cognitive Science Society. Toronto, CA. [Paper]
Leng, X., Ritz, H., Yee, D., & Shenhav, A. (2020). Dissociable influences of reward and punishment on adaptive cognitive control. In Proceedings of the 42nd Annual Meeting of the Cognitive Science Society. Toronto, CA. [Paper]
2019
Frömer, R., Dean Wolf, C.K., & Shenhav, A. (2019). Goal congruency dominates reward value in accounting for behavioral and neural correlates of value-based decision-making. Nature Communications, 10(1): 4926 [Article, Supplement, Code]
Wilson, R.C., Shenhav, A., Straccia, M.A., & Cohen, J.D. (2019). The Eighty Five Percent Rule for optimal learning. Nature Communications, 10(1): 4646. [Article; Press Release]
Kane, G. A., Bornstein, A. M., Shenhav, A., Wilson, R. C., Daw, N. D., & Cohen, J. D. (2019). Rats exhibit similar biases in foraging and intertemporal choice tasks. eLife, 8:e48429 [Article]
Grahek, I., Shenhav, A., Musslick, S., Krebs, R. M., & Koster, E. H. W. (2019). Motivation and Cognitive Control in Depression. Neuroscience & Biobehavioral Reviews 102: 371-381. [Article, Code]
FeldmanHall, O & Shenhav, A. (2019). Resolving uncertainty in a social world. Nature Human Behaviour 3: 426-435. [Article, Press release]
*Miller, KJ., *Shenhav, A., & Ludvig, E.A. (2019). Habits without values. Psychological Review 126(2): 292-311. [Article; Press Release, Coverage]
Shenhav, A. & Karmarkar, U.R. (2019). Dissociable components of the reward circuit are involved in appraisal versus choice. Scientific Reports 9(1958): 1-12. [Article; Supplementary Data]
Ritz, H., Shenhav, A. (2019) Parametric control of distractor-oriented attention. Proceedings of the 41st Annual Conference of the Cognitive Science Society. Montreal, CA. [Paper]
Musslick S., Cohen, J.D., Shenhav A. (2019). Decomposing individual differences in cognitive control: A model-based approach. Proceedings of the 41st Annual Conference of the Cognitive Science Society. Montreal, CA. [Paper]
*Spitzer, M., *Musslick S., Shvartsman, M., Shenhav A., Cohen, J.D. (2019). Asymmetric switch costs as a function of task strength. Proceedings of the 41st Annual Conference of the Cognitive Science Society. Montreal, CA. [Paper]
2018
Shenhav, A., Dean Wolf, C.K., & Karmarkar, U.R. (2018). The evil of banality: When choosing between the mundane feels like choosing between the worst. Journal of Experimental Psychology: General 147(12): 1892-1904. [Article; Supplementary Data]
Ritz, H., Nassar, M.R., Frank, M.J., & Shenhav, A. (2018). A control theoretic model of adaptive behavior in dynamic environments. Journal of Cognitive Neuroscience 30(10): 1405-1421. [Article]
Shenhav, A., Straccia, M.A., Musslick, S., Cohen, J.D., & Botvinick, M.M. (2018). Dissociable neural mechanisms track evidence accumulation for selection of attention versus action. Nature Communications 9 (1): 2485. [Article; Supplementary Data]
Lieder, F., Shenhav, A., Musslick, S., & Griffiths, T. (2018). Rational metareasoning and the plasticity of cognitive control. PLOS Computational Biology 14(4): e1006043. [Article]
Inzlicht, M., Shenhav, A., & Olivola, C.Y. (2018). The effort paradox: Effort is both costly and valued. Trends in Cognitive Sciences 22(4): 337-349. [Article]
Zacharopoulos G., Shenhav A., Constantino S., Maio G.R., Linden D.E.J. (2018). The effect of self-focus on personal and social foraging behavior. Social, Cognitive, and Affective Neuroscience: 13(9): 967-965. [Article]
Musslick, S., Jang, S.J., Shvartsman, M., Shenhav, A., & Cohen, J.D. (2018). Constraints associated with cognitive control and the stability-flexibility dilemma. In Proceedings of the 40th Annual Conference of the Cognitive Science Society. Madison, WI: Cognitive Science Society. [Paper]
Musslick, S., Cohen, J.D., & Shenhav, A. (2018). Estimating the costs of cognitive control from task performance: theoretical validation and potential pitfalls. In Proceedings of the 40th Annual Conference of the Cognitive Science Society. Madison, WI: Cognitive Science Society. [Paper]
Miller, K.J., Ludvig, E.A., Pezzulo, G., & Shenhav, A. (2018). Re-aligning models of habitual and goal-directed decision-making. In Morris R.W., Bornstein A.M., Shenhav A. (Eds.), Goal-Directed Decision Making: Computations and Neural Circuits. Amsterdam: Elsevier. [Chapter]
Morris R.W., Bornstein A.M., Shenhav A. (2018). Goal-Directed Decision Making: Computations and Neural Circuits. Amsterdam: Elsevier. [Book]
2017
Kane, G., Vazey, E., Wilson, R., Shenhav, A., Daw, N., Aston-Jones, G., & Cohen, J.D. (2017). Increased locus coeruleus tonic activity causes disengagement from a patch foraging task. Cognitive, Affective, and Behavioral Neuroscience 17(6): 1073-1083. [Article]
Shenhav, A. (2017). The perils of losing control: Why self-control is not just another value-based decision. Psychological Inquiry 28(2-3): 148-152. [Article]
Shenhav, A., Musslick, S., Lieder, F., Kool, W., Griffiths, T.L., Cohen, J.D., & Botvinick, M.M. (2017). Toward a rational and mechanistic account of mental effort. Annual Reviews of Neuroscience 40: 99-124. [Article]
Shenhav, A., Rand, D.G., & Greene, J.D. (2017). The relationship between intertemporal choice and following the path of least resistance across choices, preferences, and beliefs. Judgment and Decision Making 12(1): 1-18. [Article; Press Release]
*Kool, W., *Shenhav, A., & Botvinick, M.M. (2017). Cognitive control as cost-benefit decision making. In T. Egner (Ed.), The Wiley Handbook of Cognitive Control (pp. 167-189). Chichester, West Sussex, UK: John Wiley & Sons. [Chapter; Book]
Srivastava V., Feng S., Cohen, J.D., Leonard N.E., Shenhav A. (2017). A martingale analysis of first passage times of time-dependent Wiener diffusion models. Journal of Mathematical Psychology 77: 94-110. [Article; Code]
Kane, G.A., Bornstein, A.M., Shenhav, A., Wilson, R.C., Daw, N.D., & Cohen, J.D. (2017). Mechanisms of overharvesting in patch foraging in rodents. In G. Gunzelmann, A. Howes, T. Tenbrink, & E. Davelaar (Ed.), Proceedings of the 39th Annual Conference of the Cognitive Science Society. (pp. 637-642). Austin, TX: Cognitive Science Society. [Paper]
2016
Shenhav, A., Botvinick, M.M., & Cohen, J.D. (2016). Dorsal anterior cingulate cortex and the value of control. Nature Neuroscience 19(10): 1286-1291. [Article; News & Views]
Shenhav, A., Straccia, M.A., Botvinick, M.M., & Cohen, J.D. (2016). Dorsal anterior cingulate and ventromedial prefrontal cortex have inverse roles in both foraging and economic choice. Cognitive, Affective & Behavioral Neuroscience 16(6): 1127-1139. [Article; Supplementary Data]
2015
Musslick S., Shenhav A., Botvinick M.M., & Cohen J.D. (2015). A computational model of control allocation based on the Expected Value of Control. In Reinforcement Learning and Decision Making Conference. Edmonton, Alberta, CA. [Paper]
Shenhav, A. & Botvinick, M.M. (2015). Uncovering a missing link in anterior cingulate research. Neuron 85(3): 455-457. [Commentary; Target Article]
Trapp, S., Shenhav, A., Bitzer, S., & Bar, M. (2015). Human preferences are biased towards associative information. Cognition and Emotion 29(6): 1054-1068. [Article]
Bornstein, A.M., Shenhav, A., & Miller, K.J. (2015). Walking bundles of habits (and Response-Outcome associations). European Journal of Neuroscience 41: 1356- 1357. [Commentary; Target Article]
2014
Shenhav, A., Straccia, M.A., Cohen, J.D., & Botvinick, M.M. (2014). Anterior cingulate engagement in a foraging context reflects choice difficulty, not foraging value. Nature Neuroscience 17(9): 1249-1254. [Article; Supplementary Data; News & Views]
Shenhav, A. & Buckner, R.L. (2014). Neural correlates of dueling affective reactions to win-win choices. Proceedings of the National Academy of Sciences 111(30): 10978-10983. [Article; Press Release]
Shenhav, A. & Greene, J.D. (2014). Integrative moral judgment: Dissociating the roles of the amygdala and ventromedial prefrontal cortex. Journal of Neuroscience 34(13): 4741-4749. [Article; Supplementary Material]
Shenhav, A. & Mendes, W.B. (2014). Aiming for the stomach and hitting the heart: dissociable triggers and sources for disgust reactions. Emotion 14(2): 301-309. [Article]
2013
Shenhav, A., Botvinick, M.M., & Cohen, J.D. (2013). The expected value of control: an integrative theory of anterior cingulate cortex function. Neuron 79 (2): 217-240. [Article]
Shenhav, A., Barrett, L.F., & Bar, M. (2013). Affective value and associative processing share a cortical substrate. Cognitive, Affective, & Behavioral Neuroscience 13: 46-59. [Article; Supplementary Data]
Brunye, T. T., Gagnon, S. A., Paczynski, M., Shenhav, A., Mahoney, C. R., & Taylor, H. A. (2013). Happiness by association: generating broad associations promotes positive affect. Cognition 127 (1): 93-98. [Article]
Shenhav, A. & Botvinick, M.M. (2013). Motivated action: New light on prefrontal-neuromodulatory circuits. Current Biology 23(4): R161-R163. [Commentary; Target Article]
2012 & Earlier
*Shenhav, A., *Rand, D.G., & Greene, J.D. (2012). Divine intuition: cognitive style influences belief in God. Journal of Experimental Psychology: General 141 (3): 423-428. [Article; Press Release: 1, 2]
Haque, O.S., Shenhav, A., & Rand, D.G. (2011). Differences in cognitive style, emotional processing, and ideology as crucial variables in understanding meaning-making. Religion, Brain, & Behavior 1(3): 223-225. [Commentary; Target Article]
Shenhav, A. & Greene, J.D. (2010). Moral judgments recruit domain-general valuation mechanisms to integrate representations of probability and magnitude. Neuron 67 (4): 667-677. [Article; Supplementary Data; Press Release]
Silver, M.A., Shenhav, A., & D’Esposito, M. (2008). Cholinergic enhancement reduces spatial spread of visual responses in human early visual cortex. Neuron, 60 (5): 904-914. [Article; Supplementary Data]