Publikationen von Nicolas W. Schuck

Schuck, N. W., Frensch, P. A., Schjeide, B.-M. M., Schröder, J., Bertram, L., & Li, S.-C. (2013). Effects of aging and dopamine genotypes on the emergence of explicit memory during sequence learning. Neuropsychologia, 51, 2757–2769. https://doi.org/10.1016/j.neuropsychologia.2013.09.009

Schuck, N. W., Gaschler, R., & Frensch, P. A. (2012). Implicit learning of what comes when and where within a sequence: The time-course of acquiring serial position-item and item-item associations to represent serial order. Advances in Cognitive Psychology, 8(2), 83–97. https://doi.org/10.5709/acp-0106-0

Schuck, N. W., Gaschler, R., Keisler, A., & Frensch, P. A. (2012). Position-item associations play a role in the acquisition of order knowledge in an implicit serial reaction time task. Journal of Experimental Psychology: Learning, Memory, and Cognition, 38(2), 440–456. https://doi.org/10.1037/a0025816

Schuck, N. W., Wilson, R., & Niv, Y. (2019). A state representation for reinforcement learning and decision-making in the orbitofrontal cortex. In R. Morris, A. Bornstein, & A. Shenhav (Eds.), Goal-directed decision making: Computations and neural circuits (pp. 259–278). Academic Press.

Burgess, C., Schuck, N. W., & Burgess, N. (2011). Temporal neuronal oscillations can produce spatial phase codes. In S. Dehaene & E. Brannon (Eds.), Space, time and number in the brain: Searching for evolutionary foundations of mathematical thought (pp. 59–69). Elsevier.

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.

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.

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.

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.

Moneta, N. (2025). Exploring the representational spaces of states, values, and goals in cognitive maps [Doktorarbeit, Universität Hamburg].