Book Chapter (6)

Book Chapter
Bethge, M.: Efficient Population Coding. In: Encyclopedia of Computational Neuroscience, pp. 1257 - 1264 (Eds. Jaeger, D.; Jung, R.). Springer, New York, NY, USA (2022)
Book Chapter
Bellucci, G.; Dreher, J.-C.: Trust and Learning. In: The Neurobiology of Trust, 8, pp. 185 - 220 (Ed. Krueger, F.). Cambridge University Press, Cambridge, UK (2022)
Book Chapter
Brändle, F.; Binz, M.; Schulz, E.: Exploration beyond bandits. In: The Drive for Knowledge: The Science of Human Information-Seeking, pp. 147 - 168 (Eds. Cogliati Dezza, I.; Wu, C.; Schulz, E.). Cambridge University Press, Cambridge, UK (2022)
Book Chapter
Cogliati Dezza, I.; Schulz, E.; Wu, C.: Future challenges. In: The drive for knowledge: The science of human information seeking, pp. 279 - 290 (Eds. Cogliati Dezza, I.; Schulz, E.; Wu, C.). Cambridge University Press, Cambridge, UK (2022)

Proceedings (2)

Proceedings
Modirshanechi, A.; Brändle, F. (Eds.): Surprise in the brain: Theory and Experiment. Bernstein 2022 Satellite Workshop: Surprise in the brain: Theory and Experiments, Berlin, Germany, September 13, 2022. (2022)
Proceedings
Abdulkadir, A.; Bathula, D.; Dvornek, N.; Habes, M.; Kia, S.; Kumar, V.; Wolfers, T. (Eds.): Machine Learning in Clinical Neuroimaging: 5th International Workshop, MLCN 2022 held in conjunction with MICCAI 2022, Singapore, September 18, 2022 (Lecture Notes in Computer Science, 13596). 5th International Workshop on Machine Learning in Clinical Neuroimaging (MLCN 2022) held in conjunction with MICCAI 2022, Singapore, September 18, 2022. Springer, Cham, Switzerland (2022), 180 pp.

Conference Paper (21)

Conference Paper
Alon, N.; Schulz, L.; Rosenschein, J.; Dayan, P.: A (dis-)information theory of revealed and unrevealed preferences. In: Information-Theoretic Principles in Cognitive Systems: Workshop at the 36th Conference on Neural Information Processing Systems (NeurIPS 2022). NeurIPS 2022 Workshop on Information-Theoretic Principles in Cognitive Systems, New Orleans, LA, USA, December 03, 2022. (2022)
Conference Paper
Glang, F.; Nikulin, A.; Bause, J.; Heule, R.; Steffen, T.; Avdievich, N.; Scheffler, K.: Accelerated MRI at 9.4 T with electronically modulated time-varying receive sensitivities. In: 24. Jahrestagung der Deutschen Sektion der ISMRM (DS-ISMRM 2022), V023, pp. 23 - 29. 24. Jahrestagung der Deutschen Sektion der ISMRM (DS-ISMRM 2022), Aachen, Germany, September 21, 2022 - September 24, 2022. (2022)
Conference Paper
Bruijns, S.; The International Brain Laboratory; Dayan, P.: Understanding Learning Trajectories With Infinite Hidden Markov Models. In: 2022 Conference on Cognitive Computational Neuroscience, P-1.19, pp. 64 - 66. Conference on Cognitive Computational Neuroscience (CCN 2022), San Francisco, CA, USA, August 25, 2022 - August 28, 2022. (2022)
Conference Paper
Khajehnejad, M.; Habibollahi, F.; Nock, R.; Arabzadeh, E.; Dayan, P.; Dezfouli, A.: Neural Network Poisson Models for Behavioural and Neural Spike Train Data. In: International Conference on Machine Learning, 17-23 July 2022, Baltimore, Maryland, USA, pp. 10974 - 10996 (Eds. Chaudhuri, K.; Jegelka, S.; Song, L.; Szepesvari, C.; Niu, G. et al.). Thirty-ninth International Conference on Machine Learning (ICML 2022), Baltimore, MD, USA, July 17, 2022 - July 23, 2022. (2022)
Conference Paper
Renz, F.; Grossman, S.; Dayan, P.; Doeller, C.; Schuck, N.: Representation learning facilitates different levels of generalization. In: 2022 Conference on Cognitive Computational Neuroscience, P-2.66, pp. 460 - 462. Conference on Cognitive Computational Neuroscience (CCN 2022), San Francisco, CA, USA, August 25, 2022 - August 28, 2022. (2022)
Conference Paper
Schütt, H.; Kipnis, A.; Diedrichsen, J.; Kriegeskorte, N.: Statistical inference on representational geometries. In: 2022 Conference on Cognitive Computational Neuroscience, P-3.54, pp. 663 - 665. Conference on Cognitive Computational Neuroscience (CCN 2022), San Francisco, CA, USA, August 25, 2022 - August 28, 2022. (2022)
Conference Paper
Demircan, C.; Pettini, L.; Saanum, T.; Binz, M.; Baczkowski, B.; Doeller, C.; Garvert, M.; Schulz, E.: Decision-Making with Naturalistic Options. In: 44th Annual Meeting of the Cognitive Science Society (CogSci 2022): Cognitive Diversity, pp. 976 - 982 (Eds. Culbertson, J.; Perfors, A.; Rabagliati, H.; Ramenzoni, V.). 44th Annual Meeting of the Cognitive Science Society (CogSci 2022): Cognitive Diversity, Toronto, Canada, July 27, 2022 - July 30, 2022. (2022)
Conference Paper
Ludwig, T.; Wu, C.; Schulz, E.: Connecting Exploration, Generalization, and Planning in Correlated Trees. In: 44th Annual Meeting of the Cognitive Science Society (CogSci 2022): Cognitive Diversity, pp. 2940 - 2946 (Eds. Culbertson, J.; Perfors, A.; Rabagliati, H.; Ramenzoni, V.). 44th Annual Meeting of the Cognitive Science Society (CogSci 2022): Cognitive Diversity, Toronto, Canada, July 27, 2022 - July 30, 2022. (2022)
Conference Paper
Steiglechner, J.; Wang, Q.; Ramadan, D.; Mahler, L.; Scheffler, K.; Bender, B.; Lindig, T.; Lohmann, G.: FLEXseg: Next Generation Brain MRI Segmentation at 9.4 T. In: Medical Imaging with Deep Learning (MIDL 2022). Medical Imaging with Deep Learning (MIDL 2022), Zürich, Swtzerland, July 06, 2022 - July 08, 2022. (2022)
Conference Paper
Wang, Q.; Steiglechner, J.; Lindig, T.; Bender, B.; Scheffler, K.; Lohmann, G.: Super-Resolution for Ultra High-Field MR Images. In: Medical Imaging with Deep Learning (MIDL 2022). Medical Imaging with Deep Learning (MIDL 2022) , Zürich, Swtzerland , July 06, 2022 - July 08, 2022. (2022)
Conference Paper
Bröker, F.; Roads, B.; Dayan, P.; Love, B.: Teaching categories to human semi-supervised learners. In: 5th Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM 2022), 2.8, pp. 122 - 125. 5th Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM 2022), Providence, RI, USA, June 08, 2022 - June 11, 2022. (2022)
Conference Paper
Jagadish, A.; Saanum, T.; Wang, J.; Binz, M.; Schulz, E.: Probing Compositional Inference in Natural and Artificial Agents. In: 5th Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM 2022), 1.67, pp. 275 - 279. 5th Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM 2022), Providence, RI, USA, June 08, 2022 - June 11, 2022. (2022)
Conference Paper
Özkurt, S.; Fichter, W.; Fischer, C.; Bülthoff, H.: On the Impact of Flight Control Systems on Kinetosis of Helicopter Passengers. In: 78th Annual Vertical Flight Society Forum and Technology Display (FORUM 78): The Future of Vertical Flight, 44, pp. 304 - 315. 78th Annual Forum & Technology Display of the Vertical Flight Society (VFS 2022), Fort Worth, TX, USA, May 10, 2022 - May 12, 2022. Curran, Red Hook, NY, USA (2022)
Conference Paper
Bashiri, M.; Walker, E.; Lurz, K.-K.; Jagadish, A.; Muhammad, T.; Ding, Z.; Ding, Z.; Tolias, A.; Sinz, F.: A flow-based latent state generative model of neural population responses to natural images. In: Advances in Neural Information Processing Systems 34: 35th Conference on Neural Information Processing Systems (NeurIPS 2021), pp. 15801 - 15815 (Eds. Ranzato, M.; Beygelzimer, A.; Liang, P.; Vaughan, J.; Dauphin, Y.). Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS 2021), December 06, 2021 - December 14, 2021. Curran, Red Hook, NY, USA (2022)
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