Journal Article (606)

2014
Journal Article
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
Journal Article
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
Journal Article
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
Journal Article
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
Journal Article
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
2011
Journal Article
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

Book Chapter (15)

2021
Book Chapter
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.
Book Chapter
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.
Book Chapter
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.
Book Chapter
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
Book Chapter
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
Book Chapter
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
2020
Book Chapter
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.
Book Chapter
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.
Book Chapter
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.
2019
Book Chapter
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
2018
Book Chapter
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.
Book Chapter
Rutledge, R. B., & Adams, R. A. (2018). Computational psychiatry. In A. Moustafa (Ed.), Computational models of brain and behavior (pp. 29–42). Wiley Blackwell.
2016
Book Chapter
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.
Book Chapter
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
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