Publikationen von Sam Hall-McMaster

Hall-McMaster, S., Tomov, M. S., Gershman, S. J., & Schuck, N. W. (2025). Neural evidence that humans reuse strategies to solve new tasks. PLoS Biology, 23(6), Article e3003174. https://doi.org/10.1371/journal.pbio.3003174

Hall-McMaster, S., & Zika, O. (2025). Increasing response vigour under time pressure as a transdiagnostic marker of eating disorders. Computational Psychiatry, 9(1), 124–141. https://doi.org/10.5334/cpsy.130

Radzikowska, M., Pike, A. C., & Hall-McMaster, S. (2025). Computational perspectives on cognition in anorexia nervosa: A systematic review. Computational Psychiatry, 9(1), 100–121. https://doi.org/10.5334/cpsy.128

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

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.

Hedrich, N. (2021). The role of the temporal coherence prior in reinforcement learning [Masterarbeit, Humboldt-Universität zu Berlin].

Hall-McMaster, S., Wittkuhn, L., Verra, L., Hedrich, N. L., Irie, K., Dayan, P., Gershman, S. J., & Schuck, N. W. (2025). Entorhinal cortex signals dimensions of past experience that can be generalised in a novel environment. BioRxiv, August 01, 2025. https://doi.org/10.1101/2025.08.01.668096