Veröffentlichungen des Institutes

Janet, R.; Ligneul, R.; Losecaat-Vermeer, A.; Philippe, R.; Bellucci, G.; Derrington, E.; Park, S.; Dreher, J.-C.: Regulation of social hierarchy learning by serotonin transporter availability. Neuropsychopharmacology 47 (13), S. 2205 - 2212 (2022)

Kwasnicka, D.; Keller, J.; Perski, O.; Potthoff , S.; Ten Hoor, G.; Ainsworth, B.; Crutzen, R.; Dohle, S.; van Dongen, A.; Heino, M. et al.; Henrich, J.; Knox, L.; König, L.; Maltinsky, W.; McCallum, C.; Nalukwago, J.; Neter, E.; Nurmi, J.; Spitschan, M.; Van Beurden, S.; Van der Laan, L.; Wunsch, K.; Levink, J.; Sanderman, K.: White Paper: Open Digital Health - accelerating transparent and scalable health promotion and treatment. Health Psychology Review 16 (4), S. 475 - 491 (2022)

May, K.; Zhaoping, L.: Li and Atick’s theory of efficient binocular coding: A tutorial and mini-review. Vision Research 201, 107950 (2022)

Spitschan, M.: Reproducibility in sleep and circadian science systematic reviews and meta-analyses. Sleep Medicine Reviews 66, 101717 (2022)

Blume, C.; Niedernhuber, M.; Spitschan, M.; Slawik, H.; Meyer, M.; Bekinschtein, T.; Cajochen, C.: Melatonin suppression does not automatically alter sleepiness, vigilance, sensory processing, or sleep. Sleep 45 (11), zsac199 (2022)

Eleftheriou, A.; Ravotto, L.; Wyss, M.; Warnock, G.; Siebert, A.; Zaiss, M.; Weber, B.: Simultaneous dynamic glucose-enhanced (DGE) MRI and fiber photometry measurements of glucose in the healthy mouse brain. NeuroImage Epub ahead (2022)

Éltetö, N.; Nemeth, D.; Janacsek, K.; Dayan, P.: Tracking human skill learning with a hierarchical Bayesian sequence model. PLoS Computational Biology 18 (11), e1009866 (2022)

Hagberg, G.; Eckstein, K.; Tuzzi, E.; Zhou, J.; Robinson, S.; Scheffler, K.: Phase-based masking for quantitative susceptibility mapping of the human brain at 9.4T. Magnetic Resonance in Medicine 88 (5), S. 2267 - 2276 (2022)

Hunger, L.; Raijput, J.; Klein, K.; Mennecke, A.; Fabian, M.; Schmidt, M.; Glang, F.; Herz, K.; Liebig, P.; Nagel, A. et al.; Scheffler, K.; Dörfler, A.; Maier, A.; Zaiss, M.: DeepCEST 7 T: Fast and homogeneous mapping of 7 T CEST MRI parameters and their uncertainty quantification. Magnetic Resonance in Medicine Epub ahead (2022)

Khajehabdollahi, S.; Prosi, J.; Giannakakis, E.; Martius, G.; Levina, A.: When to Be Critical? Performance and Evolvability in Different Regimes of Neural Ising Agents. Artificial Life 28 (4), S. 458 - 478 (2022)

Kumar, V.; Beckmann, C.; Scheffler, K.; Grodd, W.: Relay and higher-order thalamic nuclei show an intertwined functional association with cortical-networks. Communications Biology 5, 1187 (2022)

Monsees, A.; Voit, K.-M.; Wallace, D.; Sawinski, J.; Charyasz, E.; Scheffler, K.; Macke, J.; Kerr, J.: Estimation of skeletal kinematics in freely moving rodents. Nature Methods 19 (11), S. 1500 - 1509 (2022)

Petkov, C.; Flecknell, P.; Murphy, K.; Basso, M.; Mitchell, A.; Hartig, R.; Thompson-Iritani, S.: Unified ethical principles and an animal research 'Helsinki' declaration as foundations for international collaboration. Current Research in Neurobiology 3, 100060 (2022)

Vidafar, P.; Spitschan, M.: Light on Shedding: A Review of Sex and Menstrual Cycle Differences in the Physiological Effects of Light in Humans. Journal of Biological Rhythms Epub ahead (2022)

Wright, A.; Murali-Manohar, S.; Henning, A.: Quantitative T1-relaxation corrected metabolite mapping of 12 metabolites in the human brain at 9.4 T. NeuroImage 263, 119574 (2022)

Zaiss, M.; Jin, T.; Kim, S.-G.; Gochberg, D.: Theory of Chemical Exchange Saturation Transfer MRI in the context of different magnetic fields. NMR in Biomedicine 35 (11), e4789 (2022)

Avdievich, N.; Nikulin, A.; Ruhm, L.; Magill, A.; Glang, F.; Henning, A.; Scheffler, K.: A 32-element loop/dipole hybrid array for human head imaging at 7 T. Magnetic Resonance in Medicine 88 (4), S. 1912 - 1926 (2022)

Avdievich, N.; Nikulin, A.; Ruhm, L.; Magill, A.; Henning, A.; Scheffler, K.: Double-Row Dipole/Loop Combined Array for Human Whole Brain Imaging at 7 T. NMR in Biomedicine 35 (10), e4773 (2022)

Bannert, M.; Bartels, A.: Visual cortex: Big data analysis uncovers food specificity. Current Biology 32 (19), S. R1012 - R1015 (2022)

Bucher, S.; Brandenburger, A.: Divisive normalization is an efficient code for multivariate Pareto-distributed environments. Proceedings of the National Academy of Sciences of the United States of America 119 (40), e2120581119 (2022)