Preprint (147)

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Wright, A.; Ziegs, T.; Henning, A.: Quantitative metabolic reference for healthy human cerebrum derived from group averaged 9.4T 1H MRSI data. (submitted)
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Bannert, M.; Bartels, A.: Large-scale color biases in the retinotopic functional architecture are region specific and shared across human brains. (submitted)
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Barnby, J.; Bellucci, G.; Alon, N.; Schilbach, L.; Frith, C.; Bell, V.: Beyond Theory of Mind: A formal interoperable framework for social inference and representation. (submitted)
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Biller, A.; Balakrishnan, P.; Spitschan, M.: Behavioural determinants of physiologically-relevant light exposure. (submitted)
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Giannakakis, E.; Khajehabdollahi, S.; Levina, A.: Network bottlenecks and task structure control the evolution of interpretable learning rules in a foraging agent. (submitted)
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Heinrichs, H.; Spitschan, M.: Within-subjects ultra-short sleep-wake protocol for characterising circadian variations in retinal function. (submitted)
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Mahler, L.; Steiglechner, J.; Wang, Q.; Scheffler, K.; Heule, R.: Flexible and Cost-Effective Deep Learning for Fast Multi-Parametric Relaxometry using Phase-Cycled bSSFP. (submitted)
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West, D.; Glang, F.; Endres, J.; Leitão, D.; Zaiss, M.; Hajnal, J.; Malik, S.: MR sequence design using digital twins of non-idealized hardware. (submitted)
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Alon, N.; Schulz, L.; Bell, V.; Moutoussis, M.; Dayan, P.; Barnby, J.: Overly deep hierarchical mentalizing produces paranoia: a new formal theory. (submitted)
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Coda-Forno, J.; Binz, M.; Wang, J.; Schulz, E.: CogBench: a large language model walks into a psychology lab. (submitted)
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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)
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Wu, C.; Meder, B.; Schulz, E.: Unifying principles of generalization: past, present, and future. (submitted)
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Basgol, H.; Dayan, P.; Franz, V.: Violation of Auditory Regularities is Reflected in Pupil Dynamics. (submitted)
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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)
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Fardet, T.; Giannakakis, E.; Paulun, K.; Levina, A.: Revising clustering and small-worldness in brain networks. (submitted)
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Hedrich, N.; Schulz, E.; Hall-McMaster, S.; Schuck, N.: An inductive bias for slowly changing features in human reinforcement learning. (submitted)
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Shen, T.; Dayan, P.: Risking your Tail: Curiosity, Danger and Exploration. (submitted)
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Wu, C.; Deffner, D.; Kahl, B.; Meder, B.; Ho, M.; Kurvers, R.: Visual-spatial dynamics drive adaptive social learning in immersive environments. (submitted)
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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)
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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)
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