Thesis - PhD (10)

2022
Thesis - PhD
Wittkuhn, J. L. (2022). Investigating neural replay of task representations in the human brain using fMRI [PhD Thesis, Freie Universität Berlin]. https://doi.org/10.17169/refubium-34672
2021
Thesis - PhD
Arnold, M. (2021). Score-based approaches to heterogeneity in psychological models [PhD Thesis, Humboldt-Universität zu Berlin]. https://doi.org/10.18452/24146
(published online 2022: https://doi.org/10.18452/24146) .
Thesis - PhD
Ciranka, S. (2021). Computational mechanisms of social influence during adolescence [PhD Thesis, Freie Universität Berlin]. https://doi.org/10.17169/refubium-33128
(published online 2022: https://doi.org/10.17169/refubium-33128).
2020
Thesis - PhD
Kosciessa, J. Q. (2020). Measurement and relevance of rhythmic and aperiodic human brain dynamics [PhD Thesis, Humboldt-Universität zu Berlin]. https://doi.org/10.18452/22040
Thesis - PhD
Liu, Y. (2020). Neural replay in representation, learning and planning [PhD Thesis, University College London].
2019
Thesis - PhD
Ereira, S. P. A. (2019). A neurocomputational account of self-other distinction: From cell to society [PhD Thesis, University College London].

Thesis - Master (2)

2022
Thesis - Master
Mooraj, Z. (2022). Metamemory judgements in aging: Differences in behavioral influences, neural activation, and connectivity patterns between younger and older adults [Master's Thesis, Humboldt Universität zu Berlin].
Thesis - Master
Schmidt, M. K. (2022). Associations of non-invasive correlates of noradrenergic neuromodulation and learning across the adult lifespan [Master's Thesis, Humboldt Universität zu Berlin / Berlin School of Mind and Brain].

Working Paper (2)

2023
Working Paper
Eyre, H. A., Ibáñez, A., Falcao, V. P., Winter, S. F., Berk, M., Gilbert, B. J., Erickson, K. I., Smith, E., Kühn, S., Dawson, W., Hynes, W., Lundin, R., Weatherill, H. J., Sudimac, S., Chen, S., Regazzoni, C. J., Bilder, R., Lawlor, B., Cotter, E., Occhipinti, J.-A., Jeste, D. V., Quoidbach, V., Destrebecq, F., Lavretsky, H., Jraissati, J., Edmonds, T., Lister, C., Freeman, M. A., Deif, R., Sale, V., Sarnyai, Z., Storch, E. A., Robertson, I. H., Reynolds, C. F., Ng, C. H., Chadha, A. S., Dunlop, S., Farina, F. R., Booi, L., Sweiboda, P., Hawrot, T., Simó, S., Carlo, A., Loughman, A., Butterworth, I., Jacka, F., Ayadi, R., Meidl, R., Belkin, G., & Salama, M. (2023). Brain capital is key to a sustainable future (Research paper / Rice University's Baker Institute for Public Policy No. 07.10.23). Rice University's Baker Institute for Public Policy. https://doi.org/10.25613/5yez-tc65
2020
Working Paper
Hertwig, R., Liebig, S., Lindenberger, U., & Wagner, G. G. (2020). Wie gefährlich ist COVID-19? Die subjektive Risikoeinschätzung einer lebensbedrohlichen COVID-19-Erkrankung im Frühjahr und Frühsommer 2020 in Deutschland (SOEPpapers on Multidisciplinary Panel Data Research No. 1095). DIW.

Report (1)

2024
Report
Nationale Akademie der Wissenschaften Leopoldina [Members of the MPIB: Ralph Hertwig, Ulman Lindenberger]. (2024). Förderung der Selbstregulationskompetenzen von Kindern und Jugendlichen in Kindertageseinrichtungen und Schulen [Stellungnahme]. Nationale Akademie der Wissenschaften Leopoldina. https://doi.org/10.26164/leopoldina_03_01157

Issue (3)

2024
Issue
Dahl, M. J., Werkle-Bergner, M., & Mather, M. (Eds.). (2024). Neuromodulatory systems in aging and disease [Special issue]. Neuroscience & Biobehavioral Reviews, .
2023
Issue
Huys, Q. J. M., & Paulus, M. (Eds.). (2023). Reliability of neurocognitive measures for mental health [Special issue]. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, 8(8).
2020
Issue
Hartley, C. A., Fandakova, Y., Bunge, S. A., Crone, E., & Lindenberger, U. (Eds.). (2020). Special Issue on Flux 2018: Mechanisms of learning & plasticity [Special issue]. Developmental Cognitive Neuroscience, 42.

Book Review (3)

2024
Book Review
Fleming, S. M. (2024, April 8). Hacking the predictive mind [Review of the book The experience machine: How our minds predict and shape reality by Andy Clark]. Brain, 147(4), 1589–1592. https://doi.org/10.1093/brain/awad417
2022
Book Review
Huys, Q. J. M. (2022). Is there mathematics to madness? Brain. https://doi.org/10.1093/brain/awac047
2019
Book Review
Hauser, T. U., Will, G.-J., Dubois, M., & Dolan, R. J. (2019). Annual research review: Developmental computational psychiatry. Journal of Child Psychology and Psychiatry, 60(4), 412–426. https://doi.org/10.1111/jcpp.12964

Registered Report (1)

2024
Registered Report
Bruntsch, M., Cooper, S. E., Abend, R., Boor, M., Chalkia, A., Czeszumski, A., Ehlers, M. R., Johnson, D. C., Klingelhöfer-Jens, M., Morriss, J., Mueller, E. M., Zika, O., & Lonsdorf, T. B. (2024). Associations between anxiety-related traits and fear acquisition and extinction: An item-based content and meta-analysis [Stage 1 Registered Report]. PsyArXiv, April 26, 2024. https://doi.org/10.31234/osf.io/unx7w

Preprint (69)

2025
Preprint
Fan, X.-R., He, Y., Wang, Y.-S., Li, L., the Lifespan Brain Chart Consortium (LBCC) [Member of the UCL: Ray Dolan], the China Autism Brain Imaging Consortium (CABIC), Duan, X., & Zuo, X.-N. (2025). Profiling brain morphology for autism spectrum disorder with two cross-culture large-scale consortia. BioRxiv, February 25, 2025. https://doi.org/10.1101/2025.02.24.639771
Preprint
Ferrari-Toniolo, S., Seak, L. C. U., & Schultz, W. (2025). Coding of the basic components of subjective value in primate dopamine neurons: Subjectively weighted reward amount and probability. BioRxiv, February 25, 2025. https://doi.org/10.1101/2025.02.21.639529
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