Publikationen

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

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

Hebart, M. N., & Schuck, N. W. (2020). Current topics in computational cognitive neuroscience: Editorial. Neuropsychologia, 147, Article 107621. https://doi.org/10.1016/j.neuropsychologia.2020.107621

Koch, C., Li, S.-C., Polk, T. A., & Schuck, N. W. (2020). Effects of aging on encoding of walking direction in the human brain. Neuropsychologia, 141, Article 107379. https://doi.org/10.1016/j.neuropsychologia.2020.107379

Wu, C. M., Schulz, E., Garvert, M. M., Meder, B., & Schuck, N. W. (2020). Similarities and differences in spatial and non-spatial cognitive maps. PLoS Computational Biology, 16(9), Article e1008149. https://doi.org/10.1371/journal.pcbi.1008149

Cai, M. B., Schuck, N. W., Pillow, J. W., & Niv, Y. (2019). Representational structure or task structure? Bias in neural representational similarity analysis and a Bayesian method for reducing bias. PLoS Computational Biology, 15(5), Article e1006299. https://doi.org/10.1371/journal.pcbi.1006299

Gaschler, R., Schuck, N. W., Reverberi, C., Frensch, P. A., & Wenke, D. (2019). Incidental covariation learning leading to strategy change. PLoS ONE, 14(1), Article e0210597. https://doi.org/10.1371/journal.pone.0210597

Hilliard, D., Passow, S., Thurm, F., Schuck, N. W., Garthe, A., Kempermann, G., & Li, S.-C. (2019). Noisy galvanic vestibular stimulation modulates spatial memory in young healthy adults. Scientific Reports, 9, Article 9310. https://doi.org/10.1038/s41598-019-45757-0

Schuck, N. W., & Niv, Y. (2019). Sequential replay of nonspatial task states in the human hippocampus. Science, 364(6447), Article eaaw5181. https://doi.org/10.1126/science.aaw5181

Sharpe, M. J., Stalnaker, T., Schuck, N. W., Killcross, S., Schoenbaum, G., & Niv, Y. (2019). An integrated model of action selection: Distinct modes of cortical control of striatal decision making. Annual Review of Psychology, 70(1), 53–76. https://doi.org/10.1146/annurev-psych-010418-102824

Schuck, N. W., Petok, J. R., Meeter, M., Schjeide, B.-M. M., Schröder, J., Bertram, L., Gluck, M. A., & Li, S.-C. (2018). Aging and a genetic KIBRA polymorphism interactively affect feedback- and observation-based probabilistic classification learning. Neurobiology of Aging, 61, 36–43. https://doi.org/10.1016/j.neurobiolaging.2017.08.026

Kaplan, R., Schuck, N. W., & Doeller, C. F. (2017). The role of mental maps in decision-making. Trends in Neurosciences, 40(5), 256–259. https://doi.org/10.1016/j.tins.2017.03.002

Rodriguez Buritica, J. M., Eppinger, B., Schuck, N. W., Heekeren, H. R., & Li, S.-C. (2016). Electrophysiological correlates of observational learning in children. Developmental Science, 19(5), 699–709. https://doi.org/10.1111/desc.12317