Publications

Ahmed, A. A. A., Alegret, N., Almeida, B., Alvarez-Puebla, R., Andrews, A. M., Ballerini, L., Barrios-Capuchino, J. J., Becker, C., Blick, R. H., Bonakdar, S., Chakraborty, I., Chen, X., Cheon, J., Chilla, G., Conceicao, A. L. C., Delehanty, J., Dulle, M., Efros, A. L., Epple, M., Fedyk, M., Feliu, N., Feng, M., Fernández-Chacón, R., Fernandez-Cuesta, I., Fertig, N., Förster, S., Garrido, J. A., George, M., Guse, A. H., Hampp, N., Harberts, J., Han, J., Heekeren, H. R., Hofmann, U. G., Holzapfel, M., Hosseinkazemi, H., Huang, Y., Huber, P., Hyeon, T., Ingebrandt, S., Ienca, M., Iske, A., Kang, Y., Kasieczka, G., Kim, D.-H., Kostarelos, K., Lee, J.-H., Lin, K.-W., Liu, S., Liu, X., Liu, Y., Lohr, C., Mailänder, V., Maffongelli, L., Megahed, S., Mews, A., Mutas, M., Nack, L., Nakatsuka, N., Oertner, T. G., Offenhäusser, A., Oheim, M., Otange, B., Otto, F., Patrono, E., Peng, B., Picchiotti, A., Pierini, F., Pötter-Nerger, M., Pozzi, M., Pralle, A., Prato, M., Qi, B., Ramos-Cabrer, P., Resch Genger, U., Ritter, N., Rittner, M., Roy, S., Santoro, F., Schuck, N. W., Schulz, F., Şeker Erkin, Skiba, M., Sosniok, M., Stephan, H., Wang, R., Wang, T., Wegner, K. D., Weiss, P. S., Xu, M., Yang, C., Zargarian, S. S., Zeng, Y., Zhou, Y., Zhu, D., Zierold, R., & Parak, W. J. (2025). Interfacing with the brain: How nanotechnology can contribute. ACS Nano, 19(11), 10630–10717. https://doi.org/10.1021/acsnano.4c10525

Hedrich, N. L., Schulz, E., Hall-McMaster, S., & Schuck, N. W. (2024). An inductive bias for slowly changing features in human reinforcement learning. PLoS Computational Biology, 20(11), Article e1012568. https://doi.org/10.1371/journal.pcbi.1012568

Koch, C., Zika, O., Bruckner, R., & Schuck, N. W. (2024). Influence of surprise on reinforcement learning in younger and older adults. PLoS Computational Biology, 20(8), Article e1012331. https://doi.org/10.1371/journal.pcbi.1012331

Löwe, A. T., Touzo, L., Muhle-Karbe, P. S., Saxe, A. M., Summerfield, C., & Schuck, N. W. (2024). Abrupt and spontaneous strategy switches emerge in simple regularised neural networks. PLoS Computational Biology, 20(10), Article e1012505. https://doi.org/10.1371/journal.pcbi.1012505

Moneta, N., Grossman, S., & Schuck, N. W. (2024). Representational spaces in orbitofrontal and ventromedial prefrontal cortex: Task states, values, and beyond. Trends in Neurosciences, 47(12), 1055–1069. https://doi.org/10.1016/j.tins.2024.10.005

Nitsch, A., Garvert, M. M., Bellmund, J. L. S., Schuck, N. W., & Doeller, C. F. (2024). Grid-like entorhinal representation of an abstract value space during prospective decision making. Nature Communications, 15, Article 1198. https://doi.org/10.1038/s41467-024-45127-z

Baeuchl, C., Glöckner, F., Koch, C., Petzold, J., Schuck, N. W., Smolka, M. N., & Li, S.-C. (2023). Dopamine differentially modulates medial temporal lobe activity and behavior during spatial navigation in young and older adults. NeuroImage, 273, Article 120099. https://doi.org/10.1016/j.neuroimage.2023.120099

Garvert, M. M., Saanum, T., Schulz, E., Schuck, N. W., & Doeller, C. F. (2023). Hippocampal spatio-predictive cognitive maps adaptively guide reward generalization. Nature Neuroscience, 26, 615–626. https://doi.org/10.1038/s41593-023-01283-x

Moneta, N., Garvert, M. M., Heekeren, H. R., & Schuck, N. W. (2023). Task state representations in vmPFC mediate relevant and irrelevant value signals and their behavioral influence. Nature Communications, 14, Article 3156. https://doi.org/10.1038/s41467-023-38709-w

Muhle-Karbe, P. S., Sheahan, H., Pezzulo, G., Spiers, H. J., Chien, S., Schuck, N. W., & Summerfield, C. (2023). Goal-seeking compresses neural codes for space in the human hippocampus and orbitofrontal cortex. Neuron, 111(23), 3885–3899.e6. https://doi.org/10.1016/j.neuron.2023.08.021

Zika, O., Wiech, K., Reinecke, A., Browning, M., & Schuck, N. W. (2023). Trait anxiety is associated with hidden state inference during aversive reversal learning. Nature Communications, 14, Article 4203. https://doi.org/10.1038/s41467-023-39825-3

Koch, C., Baeuchl, C., Glöckner, F., Riedel, P., Petzold, J., Smolka, M. N., Li, S.-C., & Schuck, N. W. (2022). L-DOPA enhances neural direction signals in younger and older adults. NeuroImage, 264, Article 119670. https://doi.org/10.1016/j.neuroimage.2022.119670

Liu, Y., Nour, M. M., Schuck, N. W., Behrens, T. E. J., & Dolan, R. J. (2022). Decoding cognition from spontaneous neural activity. Nature Reviews Neuroscience, 23, 204–214. https://doi.org/10.1038/s41583-022-00570-z

Schuck, N. W., Li, A. X., Wenke, D., Ay-Bryson, D. S., Loewe, A. T., Gaschler, R., & Shing, Y. L. (2022). Spontaneous discovery of novel task solutions in children. PLoS ONE, 17(5), Article e0266253. https://doi.org/10.1371/journal.pone.0266253

Chan, S. C. Y., Schuck, N. W., Lopatina, N., Schoenbaum, G., & Niv, Y. (2021). Orbitofrontal cortex and learning predictions of state transitions. Behavioral Neuroscience, 135(4), 487–497. https://doi.org/10.1037/bne0000461

Glöckner, F., Schuck, N. W., & Li, S. C. (2021). Differential prioritization of intramaze cue and boundary information during spatial navigation across the human lifespan. Scientific Reports, 11, Article 15257. https://doi.org/10.1038/s41598-021-94530-9

Hall-McMaster, S., Dayan, P., & Schuck, N. W. (2021). Control over patch encounters changes foraging behavior. iScience, 24(9), Article 103005. https://doi.org/10.1016/j.isci.2021.103005

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. (2021). BrainIAK: The Brain Imaging Analysis Kit. Aperture Neuro, Article 42. https://doi.org/10.52294/31bb5b68-2184-411b-8c00-a1dacb61e1da

Wittkuhn, L., Chien, S., Hall-McMaster, S., & Schuck, N. W. (2021). Replay in minds and machines. Neuroscience & Biobehavioral Reviews, 129, 367–388. https://doi.org/10.1016/j.neubiorev.2021.08.002

Wittkuhn, L., & Schuck, N. W. (2021). Dynamics of fMRI patterns reflect sub-second activation sequences and reveal replay in human visual cortex. Nature Communications, 12, Article 1795. https://doi.org/10.1038/s41467-021-21970-2