Publikationen von M Thalmann

Allen, K.; Brändle, F.; Botvinick, M.; Fan, J.; Gershman, S.; Gopnik, A.; Griffiths, T.; Hartshorne, J.; Hauser, T.; Ho, M. et al.; de Leeuw, J.; Ma, W.; Murayama, K.; Nelson, J.; van Opheusden, B.; Poundsy, T.; Rafner, J.; Rahwan, I.; Rutledge, R.; Sherson, J.; Şimşek, Ö.; Spiers, H.; Summerfield, C.; Thalmann, M.; Vélez, N.; Watrous, A.; Tenenbaum, J.; Schulz, E.: Using Games to Understand the Mind. Nature Human Behaviour Epub ahead (2024)

Haridi, S.; Thalmann, M.; Schulz, E.: The Effect of Set Size on Long-Term-Memory Retrieval Times in Cued Recall. In: 46th Annual Conference of the Cognitive Science Society (CogSci 2024). 46th Annual Conference of the Cognitive Science Society (CogSci 2024), Rotterdam, The Netherlands, 24. Juli 2024 - 27. Juli 2024. (2024)

Jagadish, A.; Coda-Forno, J.; Thalmann, M.; Schulz, E.; Binz, M.: Human-like Category Learning by Injecting Ecological Priors from Large Language Models into Neural Networks. In: 41st International Conference on Machine Learning (ICML 2024). 41st International Conference on Machine Learning (ICML 2024), Wien, Austria, 21. Juli 2024 - 27. Juli 2024. (2024)

Wu, S.; Thalmann, M.; Schulz, E.: Learning abstractions from discrete sequences. In: 46th Annual Conference of the Cognitive Science Society (CogSci 2024). 46th Annual Conference of the Cognitive Science Society (CogSci 2024), Rotterdam, The Netherlands, 24. Juli 2024 - 27. Juli 2024. (2024)

Haridi, S.; Thalmann, M.; Schulz, E.: Simulating the Scaling of Long-Term Memory Retrieval. In: 2023 Conference on Cognitive Computational Neuroscience, P-2.101, S. 784 - 787. Conference on Cognitive Computational Neuroscience (CCN 2023), Oxford, UK, 24. August 2023 - 27. August 2023. (2023)

Thalmann, M.; Schulz, E.: Simple, Idiosyncratic Decision Heuristics in a Two-Armed Bandit Task. In: 2023 Conference on Cognitive Computational Neuroscience, P-3.80, S. 1156 - 1159. Conference on Cognitive Computational Neuroscience (CCN 2023), Oxford, UK, 24. August 2023 - 27. August 2023. (2023)

Wu, S.; Thalmann, M.; Schulz, E.: Projectional motifs facilitate sequence memorization and transfer. In: 2023 Conference on Cognitive Computational Neuroscience, P-3.118, S. 1294 - 1296. Conference on Cognitive Computational Neuroscience (CCN 2023), Oxford, UK, 24. August 2023 - 27. August 2023. (2023)

Thalmann, M.; Schaefer, T.; Theves, S.; Doeller, C.; Schulz, E.: Are Representations Shaped by Task-Specific Goals? In 21st Annual Summer Interdisciplinary Conference (ASIC 2022). 21st Annual Summer Interdisciplinary Conference (ASIC 2022), Chamonix, France, 16. Juni 2022 - 21. Juni 2022. (2022)

Schäfer, T.; Thalmann, M.; Schulz, E.; Doeller, C.; Theves, S.: The role of cognitive maps in prototype-based inference. 52nd Annual Meeting of the Society for Neuroscience (Neuroscience 2023), Washington, DC, USA (2023)

Thalmann, M.; Schaefer, T.; Theves, S.; Doeller, C.; Schulz, E.: Do Mental Representations Adapt to Task Specific Goals? 63rd Annual Meeting of the Psychonomic Society (PS 2022), Boston, MA, USA (2022)

Schäfer, T.; Thalmann, M.; Schulz, E.; Doeller, T.; Theves, S.: The hippocampus supports interpolation into new states during category abstraction. (eingereicht)

Thalmann, M.; Schäfer, T.; Theves, S.; Doeller, C.; Schulz, E.: Task Imprinting: Another Mechanism of Representational Change? (eingereicht)

Wu, S.; Thalmann, M.; Schulz, E.: Motif Learning Facilitates Sequence Memorization and Generalization. (eingereicht)

Thalmann, M.; Schäfer, T.; Theve, S.; Doeller, C.; Schulz, E.: What changes with representational change? (eingereicht)