Journal Article (81)

2020
Journal Article
Zyphur, M. J., Voelkle, M. C., Tay, L., Allison, P. D., Preacher, K. J., Zhang, Z., Hamaker, E. L., Shamsollahi, A., Pierides, D. C., Koval, P., & Diener, E. (2020). From data to causes II: Comparing approaches to panel data analysis. Organizational Research Methods, 23(4), 688–716. https://doi.org/10.1177/1094428119847280

Book Chapter (6)

2020
Book Chapter
Brain circuits over a lifetime [Book section]. (2020). In D. Poeppel, G. R. Mangun, & M. S. Gazzaniga (Eds.), 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
Müller, L., & Pawelec, G. (2020). Immune compromise in the elderly. In K. E. Sullivan & E. R. Stiehm (Eds.), Stiehm's immune deficiencies: Inborn errors of immunity (2nd ed., pp. 1001–1006). Elsevier.
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.
Book Chapter
Raz, N. (2020). Brains, hearts, and minds: Trajectories of neuroanatomical and cognitive change and their modification by vascular and metabolic factors. In D. Poeppel, G. R. Mangun, & M. S. Gazzaniga (Eds.), The cognitive neurosciences (6th ed., pp. 61–79). MIT Press.
Book Chapter
Schmiedek, F., Lövdén, M., & Lindenberger, U. (2020). Training working memory for 100 days: The COGITO study. In J. M. Novick, M. F. Bunting, M. R. Dougherty, & R. W. Engle (Eds.), Cognitive and working memory training: Perspectives from psychology, neuroscience, and human development (pp. 40–57). Oxford University Press.

Conference Paper (1)

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

Thesis - PhD (4)

2020
Thesis - PhD
Dahl, M. J. (2020). Neuromodulation and rhythmic neural activity shape cognition across the adult lifespan [PhD Thesis, Freie Universität Berlin].
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
Mühlroth, B. E. (2020). Sleep-associated consolidation of episodic memories in old age: The challenge of studying cognitive and cerebral aging [PhD Thesis, Freie Universität Berlin]. https://doi.org/10.17169/refubium-27290
Thesis - PhD
Sommer, V. R. (2020). The fidelity of neural representations shapes episodic memory across the human lifespan [PhD Thesis, Freie Universität Berlin]. https://doi.org/10.17169/refubium-28640

Thesis - Master (4)

2020
Thesis - Master
Morina, F. (2020). Differences in oscillatory mechanisms of episodic memory formation in younger and older adults [Master's Thesis, Ruhr-Universität Bochum].
Thesis - Master
Pauley, C. (2020). Age differences in the effects of contextualisation on the similarity of memory representations [Master's Thesis, Carl von Ossietzky Universität Oldenburg].
Thesis - Master
Peikert, A. (2020). Reproducibility made simple: Automating reproducible research workflows [Master's Thesis, Humboldt-Universität zu Berlin].
Thesis - Master
Schwarze, S. A. (2020). Differences in effective connectivity between children and adults during task switching [Master's Thesis, Freie Universität Berlin].

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.

Preprint (3)

2020
Preprint
Abreu-Mendoza, R. A., Zarabozo-Hurtado, D., Chamorro, Y., Vazquez, P., Matute, E., & Fandakova, Y. (2020). The neural correlates of the core number systems contribute to mathematical ability in adolescence. PsyArXiv, May 27, 2020. https://doi.org/10.31234/osf.io/96tuy
Preprint
Bruckner, R., Heekeren, H. R., & Ostwald, D. (2020). Belief states and categorical-choice biases determine reward-based learning under perceptual uncertainty. BioRxiv, September 24, 2020. https://doi.org/10.1101/2020.09.18.303495
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