Stephan, K. E., & Mathys, C. (2014). Computational approaches to psychiatry. Current Opinion in Neurobiology, 25, 85–92. https://doi.org/10.1016/j.conb.2013.12.007

Toelch, U., Jubera-Garcia, E., Kurth-Nelson, Z., & Dolan, R. J. (2014). Competition strength influences individual preferences in an auction game. Cognition, 133(2), 480–487. https://doi.org/10.1016/j.cognition.2014.07.010

Vo, K., Rutledge, R. B., Chatterjee, A., & Kable, J. W. (2014). Dorsal striatum is necessary for stimulus-value but not action-value learning in humans. Brain, 137, 3129–3135. https://doi.org/10.1093/brain/awu277

Vossel, S., Bauer, M., Mathys, C. D., Adams, R. A., Dolan, R. J., Stephan, K. E., & Friston, K. J. (2014). Cholinergic stimulation enhances Bayesian belief updating in the deployment of spatial attention. The Journal of Neuroscience, 34(47), 15735–15742. https://doi.org/10.1523/JNEUROSCI.0091-14.2014

Winston, J. S., Vlaev, I., Seymour, B., Chater, N., & Dolan, R. J. (2014). Relative valuation of pain in human orbitofrontal cortex. The Journal of Neuroscience, 34(44), 14526–14535. https://doi.org/10.1523/JNEUROSCI.1706-14.2014

Brähler, E., Brüggemann, A., Brunstein, J. C., Diehl, M., Erdfelder, E., Kirschbaum, C., Lindenberger, U., Schröger, E., Sonnentag, S., Ulrich, R., & Weber, H. (2011). Bericht des Fachkollegiums Psychologie der Deutschen Forschungsgemeinschaft (DFG) und der DFG-Geschäftsstelle Psychologie. Psychologische Rundschau, 62(4), 248–253. https://doi.org/10.1026/0033-3042/a000100

Brandmaier, A. M. (in press). Machine learning for mobile sensing data. In M. Mehl, M. Eid, C. Wrzus, G. Harari, & U. Ebner-Priemer (Eds.), Mobile sensing in psychology: Methods and applications. Guilford Press.

Brandmaier, A. M. (in press). Big data dimensionality reduction. In M. Mehl, M. Eid, C. Wrzus, G. Harari, & U. Ebner-Priemer (Eds.), Mobile sensing in psychology: Methods and applications. Guilford Press.

Brandmaier, A. M., & Jacobucci, R. C. (in press). Machine-learning approaches to structural equation modeling. In R. H. Hoyle (Ed.), Handbook of structural equation modeling (2nd rev. ed.). Guilford Press.

Chamberlain, S. R., Solly, J. E., Hook, R. W., Vaghi, M. M., & Robbins, T. W. (2021). Cognitive inflexibility in OCD and related disorders. In N. A. Fineberg & T. W. Robbins (Eds.), The neurobiology and treatment of OCD: Accelerating progress (pp. 125–145). Springer. https://doi.org/10.1007/7854_2020_198

Hauser, T. U. (2021). On the development of OCD. In N. A. Fineberg & T. W. Robbins (Eds.), The neurobiology and treatment of OCD: Accelerating progress (pp. 17–30). Springer. https://doi.org/10.1007/7854_2020_195

Vaghi, M. M. (2021). Neurocognitive endophenotypes of OCD. In N. A. Fineberg & T. W. Robbins (Eds.), The neurobiology and treatment of OCD: Accelerating progress (pp. 97–124). Springer. https://doi.org/10.1007/7854_2020_197

Blakemore, S.-J., & Lindenberger, U. (Eds.). (2020). Brain circuits over a lifetime [Book section]. In The cognitive neurosciences (6th ed., pp. 3–101). MIT Press.

Blakemore, S.-J., & Lindenberger, U. (2020). Introduction [to the section "I. Brain circuits over a lifetime"]. In D. Poeppel, G. R. Mangun, & M. S. Gazzaniga (Eds.), The cognitive neurosciences (6th ed., pp. 3–5). MIT Press.

Nyberg, L., & Lindenberger, U. (2020). Brain maintenance and cognition in old age. In D. Poeppel, G. R. Mangun, & M. S. Gazzaniga (Eds.), The cognitive neurosciences (6th ed., pp. 81–89). MIT Press.

Demuth, I., Bertram, L., Drewelies, J., Düzel, S., Lill, C. M., Lindenberger, U., Pawelec, G., Spira, D., Wagner, G. G., & Gerstorf, D. (2019). Berlin Aging Study II (BASE-II). In D. Gu & M. E. Dupre (Eds.), Encyclopedia of gerontology and population aging. Springer. https://doi.org/10.1007/978-3-319-69892-2_27-1

Brandmaier, A. M., Driver, C. C., & Voelkle, M. C. (2018). Recursive partitioning in continuous time analysis. In K. van Montfort, J. H. L. Oud, & M. C. Voelkle (Eds.), Continuous time modeling in the behavioral and related sciences (pp. 259–282). Springer.

Rutledge, R. B., & Adams, R. A. (2018). Computational psychiatry. In A. Moustafa (Ed.), Computational models of brain and behavior (pp. 29–42). Wiley Blackwell.

Flagel, S. B., Pine, D. S., Ahmari, S. E., First, M. E., Friston, K. J., Mathys, C., Redish, A. D., Schmack, K., Smoller, J. W., & Thapar, A. (2016). A novel framework for improving psychiatric diagnostic nosology. In A. D. Redish & J. A. Gordon (Eds.), Computational psychiatry: New perspectives on mental illness (Strüngmann Forum Reports) (pp. 169–199). MIT Press.

Kühn, S., & Lindenberger, U. (2016). Research on human plasticity in adulthood: A lifespan agenda. In K. W. Schaie & S. L. Willis (Eds.), Handbook of the psychology of aging (8th ed., pp. 105–123). Academic Press. https://doi.org/10.1016/B978-0-12-411469-2.00006-6