Publications

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. Advance online publication. 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. Advance online publication. 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

Allegra, M., Seyed-Allaei, S., Schuck, N. W., Amati, D., Laio, A., & Reverberi, C. (2020). Brain network dynamics during spontaneous strategy shifts and incremental task optimization. NeuroImage, 217, Article 116854. https://doi.org/10.1016/j.neuroimage.2020.116854