Demircan, C.; Saanum, T.; Pettini, L.; Binz, M.; Baczkowski, B.; Doeller, C.; Garvert, M.; Schulz, E.: Evaluating alignment between humans and neural network representations in image-based learning tasks. In: Thirty-Eighth Annual Conference on Neural Information Processing Systems (NeurIPS 2024). Thirty-Eighth Annual Conference on Neural Information Processing Systems (NeurIPS 2024), Vancouver, Canada, 11. Dezember 2024 - 15. Dezember 2024. (2024)

Chen, J.; Teng, T.; Shao, Y.; Zhang, H.: Why some simple probabilistic rules are difficult to learn: A hypothesis diffusion model. In: 2024 Conference on Cognitive Computational Neuroscience, C85. Conference on Cognitive Computational Neuroscience (CCN 2024), Boston, MA, USA, 06. August 2024 - 09. August 2024. (2024)

Lu, H.; Teng, T.; Zhang, H.: The Development of Superstitions in Uncontrollable Environment. In: 2024 Conference on Cognitive Computational Neuroscience, A8. Conference on Cognitive Computational Neuroscience (CCN 2024), Boston, MA, USA, 06. August 2024 - 09. August 2024. (2024)

Satti, M.; Wille, K.; Nassar, M.; Cichy, R.; Schuck, N.; Dayan, P.; Bruckner, R.: Absence of systematic effects of trait anxiety on learning under uncertainty. In: 7th Annual Conference on Cognitive Computational Neuroscience (CCN 2024). 7th Annual Conference on Cognitive Computational Neuroscience (CCN 2024), Boston, MA, USA, 06. August 2024 - 09. August 2024. (2024)

Satti, M.; Wille, K.; Nassar, M.; Cichy, R.; Schuck, N.; Dayan, P.; Bruckner, R.: Absence of Systematic Effects of Trait Anxiety on Learning Under Uncertainty. In: 2024 Conference on Cognitive Computational Neuroscience, B27. Conference on Cognitive Computational Neuroscience (CCN 2024), Boston, MA, USA, 06. August 2024 - 09. August 2024. (2024)

Sui, X.; Dayan, P.; Lloyd, K.: Exploring Optimal Risk-Sensitive Behavior in the Balloon Analogue Risk Task (BART). In: 2024 Conference on Cognitive Computational Neuroscience, A30. Conference on Cognitive Computational Neuroscience (CCN 2024), Boston, MA, USA, 06. August 2024 - 09. August 2024. (2024)

Brändle, F.; Kessler, S.; Ruggeri, A.; Schulz, E.: Uncertainty-driven little alchemists: Differences in exploration strategies between adults and children in an online game. 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)

Chebolu, S.; Dayan, P.: Optimal and sub-optimal temporal decisions can explain procrastination in a real-world task. In: 46th Annual Meeting of the Cognitive Science Society (CogSci 2024), S. 3102 - 3108. 46th Annual Meeting of the Cognitive Science Society (CogSci 2024) , Rotterdam, The Netherlands, 24. Juli 2024 - 27. Juli 2024. (2024)

Hamidi, M.; Khajehabdollahi, S.; Giannakakis, E.; Schäfer, T.; Levina, A.; Wu, C.: Modular Growth of Hierarchical Networks: Efficient, General, and Robust Curriculum Learning. In: ALIFE 2024: Proceedings of the 2024 Artificial Life Conference. 2024 Conference on Artificial Life, Copenhagen, Denmark, 22. Juli 2024 - 26. Juli 2024. (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.; Dasgupta, I.; Lerousseau, J.; Binz, M.: In-context learning in natural and artificial intelligence. In: 46th Annual Conference of the Cognitive Science Society (CogSci 2024), S. 6 - 7. In-Context Learning in Natural and Artificial Intelligence: Workshop at CogSci 2024, Rotterdam, The Netherlands, 24. Juli 2024. (2024)

Nasonov, A.; Solomakha, G.; Hurshkainen, A.: Numerical Optimization of Multichannel Rx-only RF Coil for Parallel Imaging at 0.07T. In: 2024 IEEE Ural-Siberian Conference on Biomedical Engineering, Radioelectronics and Information Technology (USBEREIT), S. 308 - 310. 2024 IEEE Ural-Siberian Conference on Biomedical Engineering, Radioelectronics and Information Technology (USBEREIT), Yekaterinburg, Russian Federation, 13. Mai 2024 - 15. Mai 2024. IEEE (2024)

Nazemorroaya, A.; Bang, D.; Dayan, P.: State-Independent and State-Dependent Learning in a Motivational Go/NoGo task. In: 46th Annual Conference of the Cognitive Science Society (CogSci 2024), S. 2171 - 2178. 46th Annual Conference of the Cognitive Science Society (CogSci 2024), Rotterdam, The Netherlands, 24. Juli 2024 - 27. Juli 2024. (2024)

Shen, T.; Nath, S.; Brielmann, A.; Dayan, P.: Simplicity in Complexity: Explaining Visual Complexity using Deep Segmentation Models. In: 46th Annual Conference of the Cognitive Science Society (CogSci 2024), S. 2017 - 2024. 46th Annual Conference of the Cognitive Science Society (CogSci 2024), Rotterdam, The Netherlands, 24. 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)

Zhou, H.; Nagy, D.; Wu, C.: Harmonizing Program Induction with Rate-Distortion Theory. In: 46th Annual Meeting of the Cognitive Science Society (CogSci 2024), S. 2511 - 2518. 46th Annual Meeting of the Cognitive Science Society (CogSci 2024), Rotterdam, the Netherlands, 24. Juli 2024 - 27. Juli 2024. (2024)

Nath, S.; Dayan, P.; Stevenson, C.: Characterising the Creative Process in Humans and Large Language Models. In: 15th International Conference on Computational Creativity: ICCC'24, 179. 15th International Conference on Computational Creativity (ICCC 2024), Jönköping, Sweden, 17. Juni 2024 - 21. Juni 2024. (2024)

Binz, M.; Schulz, E.: Turning large language models into cognitive models. In: Twelfth International Conference on Learning Representations (ICLR 2024). Twelfth International Conference on Learning Representations (ICLR 2024), Wien, Austria, 07. Mai 2024 - 11. Mai 2024. (2024)

Coda-Forno, J.; Binz, M.; Akata, Z.; Botvinick, M.; Wang, J.; Schulz, E.: Meta-in-context learning in large language models. In: Advances in Neural Information Processing Systems 36: 37th Conference on Neural Information Processing Systems (NeurIPS 2023), 2844, S. 65189 - 65201 (Hg. Ho, A.; Naumann, T.; Globerson, A.; Saenko, K.; Hardt, M. et al.). Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS 2023), New Orleans, LA, USA, 10. Dezember 2023 - 16. Dezember 2023. Curran, Red Hook, NY, USA (2024)

Nath, S.; Shen, K.; Brielmann, A.; Dayan, P.: Simplicity in Complexity. In: ICLR 2024 Workshop on Representational Alignment (Re-Align). ICLR 2024 Workshop on Representational Alignment (Re-Align), Wien, Austria, 11. Mai 2024. (2024)