Full list can be found here on Google Scholar and Pubmed NCBI
*denotes shared first authorship
Forthcoming Papers & Preprints
Yee, D.M., Prater Fahey, M., Leng, X., Tarlow, M., Kim, J., Mundy, K., Nevin, S., Shenhav, A. Reward and punishment promote distinct neurocomputational effort profiles for adaptive cognitive control. Submitted to bioRxiv
Morningstar, M., Gravelle, M., Dickstein, D.P., Silk, J.S., Dahl., R.E., Nelson, E.E., Yee, D.M., Stroud, L.R. Reduced amygdala habituation to anticipated social rejection in youth with major depressive disorder. Submitted.
Papers
Weber L., Yee D., Small D., Petzschner F. (2025). The interoceptive origin of reinforcement learning. Trends in Cognitive Sciences.
*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.
Yee, D.M. Neural and Computational Mechanisms of Motivation and Decision-making. (2024). Journal of Cognitive Neuroscience.
Yee, D.M., Crawford, J.L., Braver, T.S. (2022). An fMRI Protocol for Administering Liquid Incentives to Human Participants. STAR Protocols. [LINK]
*Vilgis, V., *Yee, D.M., Vance, A., Silk, T. (2022). Distinct Neural Profiles of Verbal vs. Spatial Memory in Boys with ADHD and Boys with Persistent Depressive Disorder. Cognitive, Affective, and Behavioral Neuroscience [PDF]
OSF: https://osf.io/a5349/
Yee, D.M., Leng, X., Shenhav, A., Braver, T.S. (2022). Aversive Motivation and Cognitive Control. Neuroscience and Biobehavioral Reviews. [LINK]
Leng, X., Yee, D., Ritz, H., Shenhav, A. (2021). Dissociable influences of reward and punishment on adaptive cognitive control. PLOS Computational Biology. [LINK]
Yee, D.M., Crawford, J.L., Lamichhane, B., Braver, T.S. Dorsal Anterior Cingulate Cortex Encodes the Integrated Incentive Motivational Value of Cognitive Task Performance. Journal of Neuroscience. [LINK]
OSF: https://osf.io/upka4/
Crawford, J.L., Yee, D.M., Hallenbeck, H.W., Naumann, A., Shapiro, K., Thompson, R.J., Braver, T.S. (2020). Dissociable Effects of Monetary, Liquid, and Social Incentives on Motivation and Cognitive Control. Frontiers in Psychology. [PDF]
OSF directory: https://osf.io/pu9gs/
Yee, D.M., Adams, S.A., Beck, A., Braver, T.S. (2019). Age-Related Differences in Motivational Integration and Cognitive Control. Cognitive, Affective, & Behavioral Neuroscience. 19(3):692-714 [PDF]
OSF: https://osf.io/4urc6/
Yee, D.M. and Braver, T.S. (2018). Interactions of Motivation and Cognitive Control. Current Opinion in Behavioral Sciences. 19:83-90. [PDF]
Yee., D.M., Krug, M.K., Allen, A.Z., Braver, T.S. (2016). Humans Integrate Monetary and Liquid Incentives To Motivate Cognitive Task Performance. Frontiers in Psychology. [PDF]
OSF : https://osf.io/ajgp3/
Solway, A., Diuk, C., Cordova, N., Yee, D., Barto, A., Niv, Y., Botvinick, M. M. (2014). Optimal Behavioral Hierarchy. PLOS Computational Biology. 10(8). [PDF]
Blackburne, L.K., Eddy, M., Kalra, P., Yee, D., Sinha, P., Gabrieli, J.D.E. (2014). Neural Correlates of Letter Reversal in Children and Adults. PLoS ONE. 9(5). [PDF]
Conference Papers
Yee, D.M., Prater Fahey, M., Leng, X., Cheng, Z., Tarlow, M., Kim., J., Mundy, K., Nevins, S., Shenhav, A., Neurocomputational mechanisms of motivational influences on mental effort. Computational Cognitive Neuroscience (Cambridge, MA, Aug 2024).
*Prater Fahey. M., *Yee, D., Leng, X., Tarlow, M., Shenhav, A. Disentangling influences of aversive motivation on control allocation across distinct motivational contexts. Reinforcement Learning and Decision Making. (Providence, RI, July 2022).
Grahek, I., Leng, X., Prater Fahey. M., Yee, D.M., Shenhav, A. Empirical and Computational Evidence for Reconfiguration Costs during Within-Task Adjustments in Cognitive Control. Cognitive Science Society. (Toronto, Canada, July 2022)
Leng, X., Ritz, H., Yee, DM., Shenhav, A. Dissociable influences of reward and punishment on adaptive cognitive control. Cognitive Science Society. (Toronto, Canada, July 2020)
Book Chapters
Yee, DM. and Braver TS. (2023). Neurocomputational Models of Cognitive Control. To appear in R. Sun (Ed.), The Cambridge Handbook of Computational Cognitive Sciences. Cambridge University Press. [PDF]
Yee., D.M. and Braver, T.S. (2020). Computational Models of Cognitive Control: Past and Current approaches. To appear in P. Series (Ed.), Computational Psychiatry: A Primer. MIT Press [PDF]
Invited Articles
Weston, S.J. and Yee, D. Why You Should Become a UseR: A Brief Introduction to R. The Observer, (29)3, Association for Psychological Science. (March 2017). [LINK]
Debbie Yee 