Search results

Alon, N.; Schulz, L.; Bell, V.; Moutoussis, M.; Dayan, P.; Barnby, J.: Overly deep hierarchical mentalizing produces paranoia: a new formal theory. (submitted)

Biller, A.; Fatima, N.; Hamberger, C.; Hainke, L.; Plankl, V.; Nadeem, A.; Kramer, A.; Hecht, M.; Spitschan, M.: The Ecology of Human Sleep (EcoSleep) Project: Protocol for a longitudinal cohort repeated-measurement-burst study to assess the relationship between sleep determinants and sleep outcomes under real-world conditions across time of year. (submitted)

Coda-Forno, J.; Binz, M.; Wang, J.; Schulz, E.: CogBench: a large language model walks into a psychology lab. (submitted)

Guidolin, C.; Udovicic, L.; Broszio, K.; Baeza Moyano, D.; Melero-Tur, S.; Cantarero-Garcia, G.; González-Lezcano, R.; Aerts, S.; Bolte, J.; Joosten-Ma, H. et al.; Nilsson Tengelin, M.; Stefani, O.; Didikoğlu, A.; Zauner, J.; Spitschan, M.: Protocol for a prospective, multi-centric, cross-sectional cohort study to assess personal light exposure. (submitted)

Jagadish, A.; Coda-Forno, J.; Thalmann, M.; Schulz, E.; Binz, M.: Ecologically rational meta-learned inference explains human category learning. (submitted)

Schubert, J.; Jagadish, A.; Binz, M.; Schulz, E.: In-context learning agents are asymmetric belief updaters. (submitted)

Wu, C.; Meder, B.; Schulz, E.: Unifying principles of generalization: past, present, and future. (submitted)

Basgol, H.; Dayan, P.; Franz, V.: Violation of Auditory Regularities is Reflected in Pupil Dynamics. (submitted)

Choi, S.; Hike, D.; Pohmann, R.; Avdievich, N.; Gomez Cid, L.; Man, W.; Scheffler, K.; Yu, X.: Alpha-180 spin-echo based line-scanning method for high resolution laminar-specific fMRI. (submitted)

Fardet, T.; Giannakakis, E.; Paulun, K.; Levina, A.: Revising clustering and small-worldness in brain networks. (submitted)

Hedrich, N.; Schulz, E.; Hall-McMaster, S.; Schuck, N.: An inductive bias for slowly changing features in human reinforcement learning. (submitted)

Shen, T.; Dayan, P.: Risking your Tail: Curiosity, Danger and Exploration. (submitted)

Wu, C.; Deffner, D.; Kahl, B.; Meder, B.; Ho, M.; Kurvers, R.: Visual-spatial dynamics drive adaptive social learning in immersive environments. (submitted)

Binz, M.; Alaniz, S.; Roskies, A.; Aczel, B.; Bergstrom, C.; Allen, C.; Schad, D.; Wulff, D.; West, J.; Zhang, Q. et al.; Shriffrin, R.; Gershman, S.; Popov, V.; Bender, E.; Marelli, M.; Botvinick, M.; Akata, Z.; Schulz, E.: How should the advent of large language models affect the practice of science? (submitted)

Bruijns, S.; International Brain Laboratory; Bougrova, K.; Laranjeira, I.; Lau, P.; Meijer, G.; Miska, N.; Noel, J.-P.; Pan-Vazquez, A.; Roth, N. et al.; Socha, K.; Urai, A.; Dayan, P.: Dissecting the Complexities of Learning With Infinite Hidden Markov Models. (submitted)

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

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

Lee, J.; Donato, S.; Mack, A.; Mattheus, U.; Tromba, G.; Longo, E.; D’Amico, L.; Mueller, S.; Shiozawa, T.; Bause, J. et al.; Scheffler, K.; Longo, R.; Hagberg, G.: Protocol for 3D Virtual Histology of Unstained Human Brain Tissue using Synchrotron Radiation Phase-Contrast Microtomography. (submitted)

Lohmann, G.; Heczko, S.; Mahler, L.; Wang, Q.; Steiglechner, J.; Kumar, V.; Roost, M.; Jost, J.; Scheffler, K.: Improving the reliability of fMRI-based predictions of intelligence via semi-blind machine learning. (submitted)

Schulze Buschoff, L.; Akata, E.; Bethge, M.; Schulz, E.: Have we built machines that think like people? (submitted)