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Representative publications

*Grahek, I., *Leng, X., Musslick, S., & Shenhav, A. Control adjustment costs limit goal flexibility: Empirical evidence and a theoretical account. [Preprint]

Ritz, H. & Shenhav, A. (in press). Orthogonal neural encoding of targets and distractors supports multivariate cognitive control. Nature Human Behaviour 8:945–961 [Article; Press Release]

Ritz, H., Leng, X., Shenhav, A. (2022). Cognitive control as a multivariate optimization problem. Journal of Cognitive Neuroscience 34(4): 569–591. [Article]

Leng, X., Yee, D., Ritz, H., & Shenhav, A. (2021). Dissociable influences of reward and punishment on adaptive cognitive control. PLOS Computational Biology. [Article]

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., 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]

All publications

*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]

Ritz, H. & Shenhav, A. (in press). Orthogonal neural encoding of targets and distractors supports multivariate cognitive control. Nature Human Behaviour. [Preprint]

Ritz, H. & Shenhav, A. (2023). Humans reconfigure target and distractor processing to address distinct task demands. Psychological Review. [Article]

Bustamante, L.A., Oshinowo, T., Lee, J.R., Tong, E., Burton, A.R., Shenhav, A., Cohen, J.D., Daw, N.D. 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. [Preprint]

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].

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]

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]

Ritz, H., Leng, X., Shenhav, A. (2022). Cognitive control as a multivariate optimization problem. Journal of Cognitive Neuroscience: 1–23. [Article]

Leng, X., Yee, D., Ritz, H., & Shenhav, A. (2021). Dissociable influences of reward and punishment on adaptive cognitive control. PLOS Computational Biology. [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]

Yee, D. M., Leng, X., Shenhav, A., & Braver, T. S. (2022). Aversive Motivation and Cognitive Control. Neuroscience & Biobehavioral Reviews, 133, 104493. [Article]

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. (in press). 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. [Preprint]

*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]

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]

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].

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]

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]

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]

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]

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]

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., 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]

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., & Cohen, J.D. (2013). The expected value of control: an integrative theory of anterior cingulate cortex function. Neuron 79 (2): 217-240. [Article]