Schuck, N. W., Gaschler, R., Wenke, D., Heinzle, J., Frensch, P. A., Haynes, J.- D., & Reverberi, C. (2015). Medial prefrontal cortex predicts internally driven strategy shifts. Neuron, 86, 331–340. https://doi.org/10.1016/j.neuron.2015.03.015

Schuck, N. W., Wilson, R., & Niv, Y. (2019). A state representation for reinforcement learning and decision-making in the orbitofrontal cortex. In R. Morris, A. Bornstein, & A. Shenhav (Eds.), Goal-directed decision making: Computations and neural circuits (pp. 259–278). Academic Press.

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.), 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.

Wittkuhn, J. L. (2022). Investigating neural replay of task representations in the human brain using fMRI [Doktorarbeit, Freie Universität Berlin]. https://doi.org/10.17169/refubium-34672

Löwe, A. (2020). Trial-wise feedback leading to uninstructed spontaneous strategy switches [Masterarbeit, Freie Universität Berlin].

Moneta, N. (2019). Value spillover: How contextually irrelevant values influence choice behavior [Masterarbeit, Freie Universität Berlin].

Koch, C. (2017). The architecture of parieto-frontal white matter tracts predicts interindividual differences in intelligence [Masterarbeit, Ruhr-University Bochum].

Bruckner, R., Heekeren, H. R., & Nassar, M. R. (2022). Understanding learning through uncertainty and bias. PsyArXiv, 2 June 2022. https://doi.org/10.31234/osf.io/xjkbg

Wittkuhn, L., Krippner, L. M., & Schuck, N. W. (2022). Statistical learning of successor representations is related to on-task replay. BioRxiv, 2 February 2022. https://doi.org/10.1101/2022.02.02.478787

Zika, O., Wiech, K., Reinecke, A., Browning, M., & Schuck, N. W. (2022). Trait anxiety is associated with hidden state inference during aversive reversal learning. BioRxiv, 05 April 2022. https://doi.org/10.1101/2022.04.01.483303

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

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

Moneta, N., Garvert, M., Heekeren, H., & Schuck, N. W. (2021). Representations of context and context-dependent values in vmPFC compete for guiding behavior [Version posted online November 15th, 2021]. BioRxiv, 435844. https://doi.org/10.1101/2021.03.17.435844

Kumar, M., Anderson, M. J., Antony, J. W., Baldassano, C., Brooks, P. P., Cai, M. B., Chen, P.-H. C., Ellis, C. T., Henselman-Petrusek, G., Huberdeau, D., Hutchinson, J. B., Li, P. Y., Lu, Q., Manning, J. R., Mennen, A. C., Nastase, S. A., Richard, H., Schapiro, A. C., Schuck, N. W., Shvartsman, M., Sundaram, N., Suo, D., Turek, J. S., Vo, V. A., Wallace, G., Wang, Y., Zhang, H., Zhu, X., Capota, M., Cohen, J. D., Hasson, U., Li, K., Ramadge, P. J., Turk-Browne, N. B., Willke, T. L., & Norman, K. A. (2020). BrainIAK: The Brain Imaging Analysis Kit. OSF Preprints, 9 December 2020. https://doi.org/10.31219/osf.io/db2ev

Schuck, N. W., Wilson, R. C., & Niv, Y. (2017). A state representation for reinforcement learning and decision-making in the orbitofrontal cortex. BioRxiv, 210591. https://doi.org/10.1101/210591