Book Chapter (15)

2016
Book Chapter
Mathys, C. (2016). How could we get nosology from computation? In A. D. Redish & J. A. Gordon (Eds.), Computational psychiatry: New perspectives on mental illness (Strüngmann Forum Reports) (pp. 121–135). MIT Press.

Conference Paper (5)

2020
Conference Paper
Lindenberger, U. (2020). Human cognitive aging: Maintenance versus dedifferentiation. In The 8th International Winter Conference on Brain-Computer Interface, Feb. 26-28, 2020, High 1 Resort, Korea (pp. 1–2). IEEE. https://doi.org/10.1109/BCI48061.2020.9061660
2019
Conference Paper
Altmann, A., & Mourao-Miranda, J. (2019). Evidence for bias of genetic ancestry in resting functional MRI. In 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019) (pp. 275–279). IEEE. https://doi.org/10.1109/ISBI.2019.8759284
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

Working Paper (1)

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 (1)

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 (2)

2019
Book Review
Allen, M., Poggiali, D., Whitaker, K., Marshall, T. R., & Kievit, R. A. (2019). Raincloud plots: A multi-platform tool for robust data visualization [version 1; peer review: 2 approved]. Wellcome Open Research, 4. https://doi.org/10.12688/wellcomeopenres.15191.1
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

Preprint (16)

2021
Preprint
Blain, B., Globig, L., & Sharot, T. (2021). Income shock increases delay discounting independently of emotion. PsyArXiv, 22 March 2021. https://doi.org/10.31234/osf.io/yhm3b
Preprint
Ciranka, S., Linde-Domingo, J., Padezhki, I., Wicharz, C., Wu, C. M., & Spitzer, B. (2021). Asymmetric learning facilitates human inference of transitive relations. BioRxiv, 437766. https://doi.org/10.1101/2021.04.03.437766
Preprint
Garvert, M. M., Saanum, T., Schulz, E., Schuck, N. W., & Doeller, C. F. (2021). Hippocampal spatio-temporal cognitive maps adaptively guide reward generalization. BioRxiv, 465012. https://doi.org/10.1101/2021.10.22.465012
Preprint
Karlsson, A. E., Lindenberger, U., & Sander, M. C. (2021). Out of rhythm: Compromised precision of theta-gamma coupling impairs associative memory in old age. BioRxiv, 450954. https://doi.org/10.1101/2021.07.02.450954
Preprint
Kievit, R. A., McCormick, E. M., Fuhrmann, D., Deserno, M. K., & Orben, A. (2021). Using large, publicly available datasets to study adolescent development: Opportunities and challenges. Open Science Framework, 29 September 2021.
Preprint
Klug, M., & Kloosterman, N. A. (2021). Zapline-plus: A Zapline extension for automatic and adaptive removal of frequency-specific noise artifacts in M/EEG. BioRxiv, 464805. https://doi.org/10.1101/2021.10.18.464805
Preprint
Koch, C., Bäuchl, C., Glöckner, F., Riedel, P., Petzold, J., Smolka, M., Li, S.-C., & Schuck, N. W. (2021). L-DOPA enhances hippocampal direction signals in younger and older adults. BioRxiv, 456677. https://doi.org/10.1101/2021.08.18.456677
Preprint
Krohn, S., von Schwanenflug, N., Waschke, L., Romanello, A., Gell, M., Garrett, D. D., & Finke, C. (2021). A spatiotemporal complexity architecture of human brain activity. BioRxiv, 446948. https://doi.org/10.1101/2021.06.04.446948
Preprint
Moneta, N., Garvert, M., Heekeren, H., & Schuck, N. W. (2021). Parallel representation of context and multiple context-dependent values in ventro-medial prefrontal cortex [Version posted online May 19th, 2021]. BioRxiv, 435844. https://doi.org/10.1101/2021.03.17.435844
Preprint
Peikert, A., van Lissa, C. J., & Brandmaier, A. M. (2021). Reproducible research in R: A tutorial on how to do the same thing more than once. PsyArXiv, 9 August 2021. https://doi.org/10.31234/osf.io/fwxs4
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