Publikationen von Nicolas W. Schuck

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