Publikationen: 
Computational Principles of Intelligence

Akata, E.; Schulz, L.; Coda-Forno, J.; Oh, S.; Bethge, M.; Schulz, E.: Playing repeated games with Large Language Models. Nature Human Behaviour Epub ahead (2025)

Abel, L.; Schulz, E.; Nelson, N.: Subjective probability is modulated by emotions. Scientific Reports 15 (1), 8895 (2025)

Ben-Zion; Witte, K.; Jagadish, A.; Duek, O.; Harpaz-Rotem, I.; Khorsandian, M.-C.; Burrer, A.; Seifritz, E.; Homann, P.; Schulz, E. et al.; Spiller, T.: Assessing and alleviating state anxiety in large language models. npj digital medicine 8 (1), 132 (2025)

Binz, M.; Alaniz, S.; Roskies, A.; Aczel, B.; Bergstrom, C.; Allen, C.; Schad, D.; Wulff, D.; West, J.; Zhang, Q. et al.; Shiffrin, R.; Gershman, S.; Popov, V.; Bender, E.; Marelli, M.; Botvinick, M.; Akata, Z.; Schulz, E.: How should the advancement of large language models affect the practice of science? Proceedings of the National Academy of Sciences of the United States of America 122 (5), e2401227121 (2025)

Schulze Buschoff, L.; Akata, E.; Bethge, M.; Schulz, E.: Visual cognition in multimodal large language models. Nature Machine Intelligence 7, S. 96 - 106 (2025)

Wu, C.; Meder, B.; Schulz, E.: Unifying principles of generalization: past, present, and future. Annual Review of Psychology 76, S. 275 - 302 (2025)

Hussain, Z.; Binz, M.; Mata, R.; Wulff, D.: A tutorial on open-source large language models for behavioral science. Behavior Research Methods 56 (8), S. 8214 - 8237 (2024)

Hedrich, N.; Schulz, E.; Hall-McMaster, S.; Schuck, N.: An inductive bias for slowly changing features in human reinforcement learning. PLOS Computational Biology 20 (11), e1012568 (2024)

Binz, M.; Dasgupta, I.; Jagadish, A.; Botvinick, M.; Wang, J.; Schulz, E.: Meta-learning: Data, architecture, and both. Behavioral and Brain Sciences 47, e170 (2024)

Thalmann, M.; Schäfer, T.; Theves, S.; Doeller, C.; Schulz, E.: Task Imprinting: Another Mechanism of Representational Change? Cognitive Neuroscience 152, 101670 (2024)

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 8 (6), S. 1035 - 1043 (2024)

Nath, S.; Brändle, F.; Schulz, E.; Dayan, P.; Brielmann, A.: Relating Objective Complexity, Subjective Complexity and Beauty in Binary Pixel Patterns. Psychology of Aesthetics, Creativity, and the Arts Epub ahead (2024)

Binz, M.; Dasgupta, I.; Jagadish, A.; Botvinick, M.; Wang, J.; Schulz, E.: Meta-Learned Models of Cognition. Behavioral and Brain Sciences 47, e147 (2024)

Ruggeri, A.; Stanciu, O.; Pelz, M.; Gopnik, A.; Schulz, E.: Preschoolers search longer when there is more information to be gained. Developmental Science 27 (1), e13411 (2024)

Haridi, S.; Wu, C.; Dasgupta, I.; Schulz, E.: The scaling of mental computation in a sorting task. Cognition 241, 105605 (2023)

Giron, A.; Ciranka, S.; Schulz, E.; van den Bos, W.; Ruggeri, A.; Meder, B.; Wu, C.: Developmental changes in exploration resemble stochastic optimization. Nature Human Behaviour 7 (11), S. 1955 - 1967 (2023)

Binz, M.; Schulz, E.: Reconstructing the Einstellung effect. Computational Brain & Behavior 6 (3), S. 526 - 542 (2023)

Brändle, F.; Stocks, L.; Tenenbaum, J.; Gershman, S.; Schulz, E.: Empowerment contributes to exploration behaviour in a creative video game. Nature Human Behaviour 7 (9), S. 1481 - 1489 (2023)

Wu, S.; Éltetö, N.; Dasgupta, I.; Schulz, E.: Chunking as a rational solution to the speed-accuracy trade-off in a serial reaction time task. Scientific Reports 13, 7680 (2023)

Garvert, M.; Saanum, T.; Schulz, E.; Schuck, N.; Doeller, C.: Hippocampal spatio-predictive cognitive maps adaptively guide reward generalization. Nature Neuroscience 26 (4), S. 615 - 626 (2023)