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Helbing, D.; Dommaschk, E.-M.; Danyeli, L.; Liepinsh, E.; Refisch, A.; Sen, Z.; Zvejniece, L.; Rocktäschel, T.; Stabenow, L.; Schiöth, H. et al.; Walter, M.; Dambrova, M.; Besteher, B.: Conceptual foundations of acetylcarnitine supplementation in neuropsychiatric long COVID syndrome: a narrative review. European Archives of Psychiatry and Clinical Neuroscience 274 (8), pp. 1829 - 1845 (2024)

Hussain, Z.; Binz, M.; Mata, R.; Wulff, D.: A tutorial on open-source large language models for behavioral science. Behavior Research Methods 56 (8), pp. 8214 - 8237 (2024)

Kind, A.; Dayan, P.: Two sub-cultures of explanatory computational psychiatry. Molecular Psychiatry 29 (12), pp. 3928 - 3931 (2024)

Martinsons, C.; Behar-Cohen, F.; Bergen, T.; Blattner, P.; Herf, M.; Gronfier, C.; Houser, K.; Jost, S.; Nilsson Tengelin, M.; Obein, G. et al.; Schlangen, L.; Simonot, L.; Spitschan, M.; Torriglia, A.; Zeitzer, J.: Reconsidering the spectral distribution of light: Do people perceive watts or photons? Lighting Research & Technology 56 (8), pp. 886 - 899 (2024)

Sacu, S.; Dubois, M.; Hezemans, F.; Aggensteiner, P.-M.; Monninger, M.; Brandeis, D.; Banaschewski, T.; Hauser, T.; Holz, N.: Early life adversities are associated with lower expected value signaling in the adult brain. Biological Psychiatry 96 (12), pp. 948 - 958 (2024)

Segobin, S.; Haast, R.; Kumar, V.; Lella, A.; Alkemade, A.; Cuadra, M.; Barbeau, E.; Felician, O.; Pergola, G.; Pitel, A.-L. et al.; Saranathan, M.; Tourdias, T.; Hornberger, M.: A roadmap towards standardized neuroimaging approaches for human thalamic nuclei. Nature Reviews Neuroscience 25 (12), pp. 792 - 808 (2024)

Seymour, K.; McNicoll, J.; Koenig-Robert, R.: Big brother: the effects of surveillance on fundamental aspects of social vision. Neuroscience of Consciousness 2024 (1), niae039 (2024)

Zauner, J.; Udovicic, L.; Spitschan, M.: Power analysis for personal light exposure measurements and interventions. PLOS ONE 19 (12), e0308768 (2024)

Biller, A.; Balakrishnan, P.; Spitschan, M.: Behavioural determinants of physiologically-relevant light exposure. Communications Psychology 2 (1), 114 (2024)

Bröker, F.; Holt, L.; Roads, B.; Dayan, P.; Love, B.: Demystifying unsupervised learning: how it helps and hurts. Trends in Cognitive Sciences 28 (11), pp. 974 - 986 (2024)

Guidolin, C.; Aerts, S.; Agbeshie, G.; Akuffo, K.; Aydin, S.; Baeza-Moyano, D.; Bolte, J.; Broszio, K.; Cantarero-García, G.; Didikoglu, A. et al.; González-Lezcano, R.; Joosten-Ma, H.; Melero-Tur, S.; Nilsson Tengelin, M.; Pérez Gutiérrez, M.; Stefani, O.; Svensson, I.; Udovičić, L.; Zauner, J.; Spitschan, M.: Protocol for a prospective, multicentre, cross-sectional cohort study to assess personal light exposure. BMC Public Health 24 (1), p. 3285 (2024)

Hedrich, N.; Schulz, E.; Hall-McMaster, S.; Schuck, N.: An inductive bias for slowly changing features in human reinforcement learning. PLOS Computational Biology 20 (11), e1012568 (2024)

Houben, T.; Mysegaes, F.; Myers, J.; Kempf, N.; Assaf, C.; Pravdivtsev , A.; Buckenmaier, K.; Körber, R.; Plaumann, M.: Fluorescence Quenching for Determination of Catalyst Concentration in the Parahydrogen-Induced Polarization Method SABRE. ChemBioChem: A European Journal of Chemical Biology 8 (11), e202400106 (2024)

Kabanova, A.; Yang, M.; Logothetis, N.; Eschenko, O.: Partial chemogenetic inhibition of the locus coeruleus due to heterogeneous transduction of noradrenergic neurons preserved auditory salience processing in wild-type rats. European Journal of Neuroscience 60 (9), pp. 6237 - 6253 (2024)

Ladd, M.; Quick, H.; Scheffler, K.; Speck, O.: Design requirements for human UHF magnets from the perspective of MRI scientists. Superconductor Science and Technology 37 (11), 113001 (2024)

Langer, N.; Weber, M.; Hebling Vieira, B.; Strzelczyk, D.; Wolf, L.; Pedroni, A.; Heitz, J.; Müller, S.; Schultheiss, C.; Troendle, M. et al.; Arango Lasprilla, J.; Rivera, D.; Scarpina, F.; Zhao, Q.; Leuthold, R.; Wehrle, F.; Jenni, O.; Brugger, P.; Zaehle, T.; Lorenz, R.; Zhang, C.: A deep learning approach for automated scoring of the Rey–Osterrieth complex figure. eLife 13, RP9601 (2024)

Mönke, G.; Schäfer, T.; Parto-Dezfouli, M.; Kajal, D.; Fürtinger, S.; Schmiedt, J.; Fries, P.: Systems Neuroscience Computing in Python (SyNCoPy): A Python Package for Large-scale Analysis of Electrophysiological Data. Frontiers in Neuroinformatics 18, 1448161 (2024)

Popova, K.; Glang, F.; Bosch, D.; Scheffler, K.; Avdievich, N.; Glybovski, S.; Solomakha, G.: An array of paired folded-end dipoles for whole-brain imaging at 9.4 T. Journal of Magnetic Resonance 368, 107791 (2024)

Stilianu, C.; Graf, C.; Huemer, M.; Diwoky, C.; Soellradl, M.; Rund, A.; Zaiss, M.; Stollberger, R.: Enhanced and robust contrast in CEST MRI: Saturation pulse shape design via optimal control. Magnetic Resonance in Medicine 92 (5), pp. 1867 - 1880 (2024)

Duecker, K.; Doelling, K.; Breska, A.; Coffey, E.; Sivarao, D.; Zoefel, B.: Challenges and Approaches in the Study of Neural Entrainment. The Journal of Neuroscience 44 (40), e1234242024 (2024)