Conference Paper (8)

2019
Conference Paper
Mihalik, A., Brudfors, M., Robu, M., Ferreira, F. S., Lin, H., Rau, A., Wu, T., Blumberg, S. B., Kanber, B., Tariq, M., Garcia, M. E., Zor, C., Nikitichev, D. I., Mourão-Miranda, J., & Oxtoby, N. P. (2019). ABCD Neurocognitive Prediction Challenge 2019: Predicting individual fluid intelligence scores from structural MRI using probabilistic segmentation and Kernel ridge regression. In K. M. Pohl, W. K. Thompson, E. Adeli, & M. G. Linguraru (Eds.), Adolescent brain cognitive development neurocognitive prediction (pp. 133–142). Springer. https://doi.org/10.1007/978-3-030-31901-4_16
Conference Paper
Oxtoby, N. P., Ferreira, F. S., Mihalik, A., Wu, T., Brudfors, M., Lin, H., Rau, A., Blumberg, S. B., Robu, M., Zor, C., Tariq, M., Garcia, M. E., Kanber, B., Nikitichev, D. I., & Mourão-Miranda, J. (2019). ABCD Neurocognitive Prediction Challenge 2019: Predicting individual residual fluid intelligence scores from cortical grey matter morphology. In K. M. Pohl, W. K. Thompson, E. Adeli, & M. G. Linguraru (Eds.), Adolescent brain cognitive development neurocognitive prediction (pp. 114–123). Springer. https://doi.org/10.1007/978-3-030-31901-4_14
2018
Conference Paper
Ferreira, F. S., Rosa, M. J., Moutoussis, M., Dolan, R. J., Shawe-Taylor, J., Ashburner, J., & Mourao-Miranda, J. (2018). Sparse PLS hyper-parameters optimisation for investigating brain-behaviour relationships. In 2018 International Workshop on Pattern Recognition in Neuroimaging (PRNI), 12-14 June 2018, Singapore (pp. 1–4). https://doi.org/10.1109/PRNI.2018.8423947
Conference Paper
Wu, C. M., Schulz, E., Garvert, M. M., Meder, B., & Schuck, N. W. (2018). Connecting conceptual and spatial search via a model of generalization. In C. Kalish, M. Rau, J. Zhu, & T. T. Rogers (Eds.), COGSCI 2018: Changing / minds. 40th Annual Cognitive Science Society Meeting, Madison, Wisconsin, USA, July 25-28 (pp. 1183–1188). Cognitive Science Society.

Thesis - PhD (10)

2023
Thesis - PhD
Malamud, J. (2023). Dynamics of mood and cognition in depression and anxiety: A computational approach [PhD Thesis, University College London].
Thesis - PhD
Peikert, A. (2023). Towards transparency and Open Science: A principled perspective on computational reproducibility and preregistration [PhD Thesis, Humboldt-Universität zu Berlin]. https://doi.org/10.18452/27056
2022
Thesis - PhD
Dubois, M. (2022). Computational and cognitive mechanisms of exploration heuristics [PhD Thesis, University College London].
Thesis - PhD
Nour, M. M. (2022). Cognitive and neural map representations in schizophrenia [PhD Thesis, University College London].
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.

Issue (3)

2024
Issue
Dahl, M. J., Werkle-Bergner, M., & Mather, M. (Eds.). (in press). 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).
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