Rutledge, R. B., Chekroud, A. M., & Huys, Q. J. M. (2019). Machine learning and big data in psychiatry: Toward clinical applications. Current Opinion in Neurobiology, 55, 152–159. https://doi.org/10.1016/j.conb.2019.02.006

Salami, A., Garrett, D. D., Wahlin, A., Rieckmann, A., Papenberg, G., Karalija, N., Jonasson, L., Andersson, M., Axelsson, J., Johansson, J., Riklund, K., Lövdén, M., Lindenberger, U., Bäckman, L., & Nyberg, L. (2019). Dopamine D2/3 binding potential modulates neural signatures of working memory in a load-dependent fashion. The Journal of Neuroscience, 39(3), 537–547. https://doi.org/10.1523/JNEUROSCI.1493-18.2018

Schad, D. J., Garbusow, M., Friedel, E., Sommer, C., Sebold, M., Hägele, C., Bernhardt, N., Nebe, S., Kuitunen‑Paul, S., Liu, S., Eichmann, U., Beck, A., Wittchen, H. U., Walter, H., Sterzer, P., Zimmermann, U. S., Smolka, M. N., Schlagenhauf, F., Huys, Q. J. M., Heinz, A., & Rapp, M. A. (2019). Neural correlates of instrumental responding in the context of alcohol-related cues index disorder severity and relapse risk. European Archives of Psychiatry and Clinical Neuroscience, 269, 295–308. https://doi.org/10.1007/s00406-017-0860-4

Schuck, N. W., & Niv, Y. (2019). Sequential replay of nonspatial task states in the human hippocampus. Science, 364(6447), Article eaaw5181. https://doi.org/10.1126/science.aaw5181

Schwartenbeck, P., Passecker, J., Hauser, T. U., FitzGerald, T. H. B., Kronbichler, M., & Friston, K. J. (2019). Computational mechanisms of curiosity and goal-directed exploration. eLife, 8, Article e41703. https://doi.org/10.7554/eLife.41703

Seow, T., & Fleming, S. M. (2019). Perceptual sensitivity is modulated by what others can see. Attention, Perception and Psychophysics, 81(6), 1979–1990. https://doi.org/10.3758/s13414-019-01724-5

Sezener, C. E., Dezfouli, A., & Keramati, M. (2019). Optimizing the depth and the direction of prospective planning using information values. PLoS Computational Biology, 15(3), Article 1006827. https://doi.org/10.1371/journal.pcbi.1006827

Shahar, N., Hauser, T. U., Moutoussis, M., Moran, R., Keramati, M., & Dolan, R. J. (2019). Improving the reliability of model-based decision-making estimates in the two-stage decision task with reaction-times and drift-diffusion modeling. PLoS Computational Biology, 15(2), Article 1006803. https://doi.org/10.1371/journal.pcbi.1006803

Shahar, N., Moran, R., Hauser, T. U., Kievit, R. A., McNamee, D., Moutoussis, M., NSPN Consortium, & Dolan, R. J. (2019). Credit assignment to state-independent task representations and its relationship with model-based decision making. Proceedings of the National Academy of Sciences of the United States of America, 116(32), 15871–15876. https://doi.org/10.1073/pnas.1821647116

Sharpe, M. J., Stalnaker, T., Schuck, N. W., Killcross, S., Schoenbaum, G., & Niv, Y. (2019). An integrated model of action selection: Distinct modes of cortical control of striatal decision making. Annual Review of Psychology, 70(1), 53–76. https://doi.org/10.1146/annurev-psych-010418-102824

Sokol-Hessner, P., & Rutledge, R. B. (2019). The psychological and neural basis of loss aversion. Current Directions in Psychological Science, 28(1), 20–27. https://doi.org/10.1177/0963721418806510

Tucker-Drob, E. M., Brandmaier, A. M., & Lindenberger, U. (2019). Coupled cognitive changes in adulthood: A meta-analysis. Psychological Bulletin, 145(3), 273–301. https://doi.org/10.1037/bul0000179

Tzovara, A., Meyer, S. S., Bonaiuto, J. J., Abivardi, A., Dolan, R. J., Barnes, G. R., & Bach, D. R. (2019). High-precision magnetoencephalography for reconstructing amygdalar and hippocampal oscillations during prediction of safety and threat. Human Brain Mapping, 40(14), 4114–4129. https://doi.org/10.1002/hbm.24689

Webb, C. A., Trivedi, M. H., Cohen, Z. D., Dillon, D. G., Fournier, J. C., Goer, F., Fava, M., McGrath, P. J., Weissman, M., Parsey, R., Adams, P., Trombello, J. M., Cooper, C., Deldin, P., Oquendo, M. A., McInnis, M. G., Huys, Q., Bruder, G., Kurian, B. T., Jha, M., DeRubeis, R. J., & Pizzagalli, D. A. (2019). Personalized prediction of antidepressant v. placebo response: Evidence from the EMBARC study. Psychological Medicine, 49(7), 1118–1127. https://doi.org/10.1017/S0033291718001708

Wiegand, I., & Sander, M. C. (2019). Cue-related processing accounts for age differences in phasic alerting. Neurobiology of Aging, 79, 93–100. https://doi.org/10.1016/j.neurobiolaging.2019.03.017

Wiegand, I., Seidel, C., & Wolfe, J. (2019). Hybrid foraging search in younger and older age. Psychology and Aging, 34(6), 805–820. https://doi.org/10.1037/pag0000387

Wimmer, G. E., & Büchel, C. (2019). Learning of distant state predictions by the orbitofrontal cortex in humans. Nature Communications, 10, Article 2554. https://doi.org/10.1038/s41467-019-10597-z

Wise, T., Michely, J., Dayan, P., & Dolan, R. J. (2019). A computational account of threat-related attentional bias. PLoS Computational Biology, 15(10), Article e1007341. https://doi.org/10.1371/journal.pcbi.1007341

Xia, Y., Gurkina, A., & Bach, D. R. (2019). Pavlovian-to-instrumental transfer after human threat conditioning. Learning & Memory, 26(5), 167–175. https://doi.org/10.1101/lm.049338.119

Ziegler, G., Hauser, T. U., Moutoussis, M., Bullmore, E. T., Goodyer, I. M., Fonagy, P., Jones, P. B., Lindenberger, U., & Dolan, R. J. (2019). Compulsivity and impulsivity traits linked to attenuated developmental frontostriatal myelination trajectories. Nature Neuroscience, 22, 992–999. https://doi.org/10.1038/s41593-019-0394-3