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Schulz, L.; Streicher, Y.; Schulz, E.; Bhui, R.; Dayan, P.: Mechanisms of Mistrust: A Bayesian Account of Misinformation Learning. PLOS Computational Biology 21 (5), e1012814 (2025)

Aghaeifar, A.; Müller, S.; Scheffler, K.: SpinWalk: a Monte Carlo simulator for MR-signal formation in inhomogeneous tissue. Imaging Neuroscience 3, imag_a_00533 (2025)

Biller, A.; Fatima, N.; Hamberger, C.; Hainke, L.; Plankl, V.; Nadeem, A.; Kramer, A.; Hecht, M.; Spitschan, M.: The Ecology of Human Sleep (EcoSleep) Cohort Study: Protocol for a longitudinal repeated measurement burst design study to assess the relationship between sleep determinants and outcomes under real-world conditions across time of year. Journal of sleep research 34 (2), e14225 (2025)

Ethofer, T.; Straub, S.; Kreifelts, B.; Koch, K.; Obermeyer, L.; Stegmaier, S.; Erb, M.; Scheffler, K.; Wildgruber, D.: Neural processing of laughter in depression. Scientific Reports 15 (1), 14724 (2025)

Evrard, H.; Blomqvist, A.: Balancing the role of the ventral posterior thalamus in pain and temperature. Journal of Neurophysiology 133 (4), pp. 1014 - 1015 (2025)

Mahler, L.; Steiglechner, J.; Bender, B.; Lindig, T.; Ramadan, D.; Bause, J.; Birk, F.; Heule, R.; Charyasz, E.; Erb, M. et al.; Kumar, V.; Hagberg, G.; Martin, P.; Lohmann, G.; Scheffler, K.: UltraCortex: Submillimeter Ultra-High Field 9.4 T Brain MR Image Collection and Manual Cortical Segmentations. Nature 12 (1), 635 (2025)

Parto-Dezfouli, M.; Vanegas, I.; Zarei, M.; Nesse, W.; Clark, K.; Noudoost, B.: Prefrontal working memory signal controls phase-coded information within extrastriate cortex. eLife Epub ahead (2025)

Plähn, N.; Safarkhanlo, Y.; Açikgöz, B.; Mackowiak, A.; Radojewski, P.; Bonanno, G.; Peper, E.; Heule, R.; Bastiaansen, J.: ORACLE: An analytical approach for T1, T2, proton density, and off-resonance mapping with phase-cycled balanced steady-state free precession. Magnetic Resonance in Medicine 93 (4), pp. 1657 - 1673 (2025)

van Duijnhoven, J.; Hartmeyer, S.; Didikoglu, A.; Stefani, O.; Houser, K.; Kalavally, V.; Spitschan, M.: Measuring light exposure in daily life: A review of wearable light loggers. Building and environment: the international journal of building science and its applications 274, 112771 (2025)

Wu, C.; Deffner, D.; Kahl, B.; Meder, B.; Ho, M.; Kurvers, R.: Adaptive mechanisms of social and asocial learning in immersive collective foraging. Nature Communications 16 (1), 3539 (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)

Hainke, L.; Dowsett, J.; Spitschan, M.; Priller, J.: 40 Hz Visual Stimulation During Sleep Evokes Neuronal Gamma Activity in NREM and REM Stages. Sleep 48 (3), zsae299 (2025)

Zauner, J.; Hartmeyer, S.; Spitschan, M.: LightLogR: Reproducible analysis of personal light exposure data with an open-source R package. The Journal of Open Source Software (JOSS) 10 (107), 7601 (2025)

Zhaoping, L.: Testing the top-down feedback in the central visual field using the reversed depth illusion. iScience 28 (4), 112223 (2025)

Afshari, R.; Santini, F.; Heule, R.; Meyer, C.; Pfeuffer, J.; Bieri, O.: Rapid whole-brain quantitative MT imaging. Zeitschrift für Medizinische Physik 35 (1), pp. 69 - 77 (2025)

Antonov, G.; Dayan, P.: Exploring Replay. Nature Communications 16 (1), 1657 (2025)

Basgol, H.; Dayan, P.; Franz, V.: Violation of Auditory Regularities is Reflected in Pupil Dynamics. Cortex 183, pp. 66 - 86 (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)

Birk, F.; Mahler, L.; Steiglechner, J.; Wang, Q.; Scheffler, K.; Heule, R.: Flexible and cost-effective deep learning for accelerated multi-parametric relaxometry using phase-cycled bSSFP. Scientific Reports 15 (1), 4825 (2025)