Publications of Douglas D. Garrett

Garrett, D. D., MacDonald, S. W. S., & Craik, F. I. M. (2012). Intraindividual reaction time variability is malleable: Feedback- and education-related reductions in variability with age. Frontiers in Human Neuroscience, 6, Article 101. https://doi.org/10.3389/fnhum.2012.00101

Polanski, L. (2024). Computational and neural mechanisms of human exploration-exploitation behavior [PhD Thesis, Freie Universität Berlin].

Wiegert, S. (2015). Neuronal avalanches in the human brain: An fMRI study [Diploma Thesis, Humboldt-Universität zu Berlin].

Skowron, A. (2019). Dopaminergic effects on reinforcement learning in older adults: BOLD variability as a marker of individual differences [Master's Thesis, Freie Universität Berlin].

Tochadse, M. (2019). Neural dynamics of scene viewing [Master's Thesis, Freie Universität Berlin].

van den Elzen, E. (2019). Human single- and multi-cell variability in response to image feature-richness as a marker of effective memory encoding [Master's Thesis, Tilburg University].

Epp, S. M. (2016). Flexibility of fMRI resting-state functional connectivity networks [Master's Thesis, Humboldt-Universität zu Berlin].

Skowron, A., Kosciessa, J. Q., Lorenz, R., Hertwig, R., van den Bos, W., & Garrett, D. D. (2025). Neural variability compresses with increasing belief precision during Bayesian inference (Version posted online January 23, 2025). BioRxiv, January 12, 2024. https://doi.org/10.1101/2024.01.11.575180

Garrett, D. D., Kloosterman, N. A., Epp, S. M., Chopurian, V., Kosciessa, J. Q., Waschke, L., Skowron, A., Shine, J. M., Perry, A., Salami, A., Rieckmann, A., Papenberg, G., Wåhlin, A., Karalija, N., Andersson, M., Riklund, K., Lövdén, M., Bäckman, L., Nyberg, L., & Lindenberger, U. (2022). Dynamic regulation of neural variability during working memory reflects dopamine, functional integration, and decision-making. BioRxiv, May 5, 2022. https://doi.org/10.1101/2022.05.05.490687