Konferenzbeitrag (6)

2025
Konferenzbeitrag
Demircan, C., Saanum, T., Pettini, L., Binz, M., Baczkowski, B. M., Doeller, C. F., Garvert, M. M., & Schulz, E. (2025). Evaluating alignment between humans and neural network representations in image-based learning tasks. In A. Globerson, L. Mackey, D. Belgrave, A. Fan, U. Paquet, J. Tomczak, & C. Zhang (Eds.), Advances in Neural Information Processing Systems 37: 38th Conference on Neural Information Processing Systems (NeurIPS 2024). Curran.
2024
Konferenzbeitrag
Hall-McMaster, S., Tomov, M. S., Gershman, S. J., & Schuck, N. W. (2024). Neural prioritisation of past solutions supports generalisation. In CCN 2024: the 7th annual conference on Cognitive Computational Neuroscience.
Konferenzbeitrag
Löwe, A. T., Petzka, M., Tzegka, M., & Schuck, N. W. (2024). Sleep inspires insight: A preregistered study. In CCN 2024: the 7th annual conference on Cognitive Computational Neuroscience.
Konferenzbeitrag
Satti, M. H., Wille, K., Nassar, M. R., Cichy, R. M., Schuck, N. W., Dayan, P., & Bruckner, R. (2024). Absence of systematic effects of trait anxiety on learning under uncertainty. In CCN 2024: the 7th annual conference on Cognitive Computational Neuroscience.
Konferenzbeitrag
Verra, L., Spitzer, B., Schuck, N. W., & Zika, O. (2024). Computational mechanisms of aversive generalisation in anxiety. In CCN 2024: the 7th annual conference on Cognitive Computational Neuroscience.
2018
Konferenzbeitrag
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.

Hochschulschrift - Doktorarbeit (3)

2025
Hochschulschrift - Doktorarbeit
Moneta, N. (2025). Exploring the representational spaces of states, values, and goals in cognitive maps [Doktorarbeit, Universität Hamburg].
(published online 2025: https://ediss.sub.uni-hamburg.de/handle/ediss/11639).
2023
Hochschulschrift - Doktorarbeit
Koch, C. (2023). How aging shapes neural representations of continuous spaces [Doktorarbeit, Freie Universität Berlin]. https://doi.org/10.17169/refubium-39372
(published online 2023: http://dx.doi.org/10.17169/refubium-39372).
2022
Hochschulschrift - Doktorarbeit
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

Hochschulschrift - Master (5)

2022
Hochschulschrift - Master
Verra, L. (2022). Behavioural evidence for state dependent uncertainty [Masterarbeit, Humboldt-Universität zu Berlin].
2021
Hochschulschrift - Master
Hedrich, N. (2021). The role of the temporal coherence prior in reinforcement learning [Masterarbeit, Humboldt-Universität zu Berlin].
2020
Hochschulschrift - Master
Löwe, A. (2020). Trial-wise feedback leading to uninstructed spontaneous strategy switches [Masterarbeit, Freie Universität Berlin].
2019
Hochschulschrift - Master
Moneta, N. (2019). Value spillover: How contextually irrelevant values influence choice behavior [Masterarbeit, Freie Universität Berlin].
2017
Hochschulschrift - Master
Koch, C. (2017). The architecture of parieto-frontal white matter tracts predicts interindividual differences in intelligence [Masterarbeit, Ruhr-University Bochum].

Registered Report (1)

2024
Registered Report
Bruntsch, M., Cooper, S. E., Abend, R., Boor, M., Chalkia, A., Czeszumski, A., Ehlers, M. R., Johnson, D. C., Klingelhöfer-Jens, M., Morriss, J., Mueller, E. M., Zika, O., & Lonsdorf, T. B. (2024). Associations between anxiety-related traits and fear acquisition and extinction: An item-based content and meta-analysis [Stage 1 Registered Report] (Version posted online June 20, 2024). PsyArXiv, April 26, 2024. https://doi.org/10.31234/osf.io/unx7w

Preprint (10)

2025
Preprint
Tarrasó, E. B., Schwimmbeck, F., Petzka, M., Staudigl, T., Staresina, B. P., & Schreiner, T. (2025). Respiration shapes the neural dynamics of successful remembering in humans. BioRxiv, April 23, 2025. https://doi.org/10.1101/2025.04.17.649286
2024
Preprint
Ganesh, P., Cichy, R. M., Schuck, N. W., Finke, C., & Bruckner, R. (2024). Adaptive integration of perceptual and reward information in an uncertain world. BioRxiv, April 28, 2024. https://doi.org/10.1101/2024.04.24.590947
Preprint
Ganesh, P., Donner, T. H., Cichy, R. M., Schuck, N. W., Finke, C., & Bruckner, R. (2024). Pupil-linked arousal encodes uncertainty-weighted prediction errors. PsyArXiv, November 27, 2024. https://doi.org/10.31234/osf.io/c6ujk
Preprint
Lipman, O., Grossman, S., Friedman, D., Hel-Or, Y., & Malach, R. (2024). Invariant inter-subject relational structures in the human visual cortex. arXiv, 2407.08714. https://doi.org/10.48550/arXiv.2407.08714
Preprint
Löwe, A. T., Petzka, M., Tzegka, M., & Schuck, N. W. (2024). N2 sleep inspires insight. BioRxiv, June 28, 2024. https://doi.org/10.1101/2024.06.24.600359
Preprint
Wittkuhn, L., Krippner, L. M., Koch, C., & Schuck, N. W. (2024). Replay in human visual cortex is linked to the formation of successor representations and independent of consciousness (Version posted online July 04, 2024). BioRxiv, February 2, 2022. https://doi.org/10.1101/2022.02.02.478787
2023
Preprint
Loewe, A. T., Touzo, L., Muhle-Karbe, P. S., Saxe, A. M., Summerfield, C., & Schuck, N. W. (2023). Regularised neural networks mimic human insight. arXiv, 2302.11351. https://doi.org/10.48550/arXiv.2302.11351
2022
Preprint
Bruckner, R., Heekeren, H. R., & Nassar, M. R. (2022). Understanding learning through uncertainty and bias. PsyArXiv, June 2, 2022. https://doi.org/10.31234/osf.io/xjkbg
Preprint
Yao, Y.-W., Song, K.-R., Schuck, N. W., Li, X., Fang, X.-Y., Zhang, J.-T., Heekeren, H. R., & Bruckner, R. (2022). The dorsomedial prefrontal cortex represents subjective value across effortbased and risky decision-making. PsyArXiv, August 18, 2022. https://doi.org/10.31234/osf.io/6rpy5
2017
Preprint
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
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