Veröffentlichungen des Institutes

Barnby, J.; Raihani, N.; Dayan, P.: Knowing me, knowing you: Interpersonal similarity improves predictive accuracy and reduces attributions of harmful intent. Cognition 225, 105098 (2022)

Pusterla, O.; Heule, R.; Santini, F.; Weikert, T.; Willers, C.; Andermatt, S.; Sandkühler, R.; Nyilas, S.; Latzin, P.; Bieri, O. et al.; Bauman, G.: MRI lung lobe segmentation in pediatric cystic fibrosis patients using a recurrent neural network trained with publicly accessible CT datasets. Magnetic Resonance in Medicine 88 (1), S. 391 - 405 (2022)

Dorst, J.; Borbath, T.; Landheer, K.; Avdievich, N.; Henning, A.: Simultaneous detection of metabolite concentration changes, water BOLD signal and pH changes during visual stimulation in the human brain at 9.4T. Journal of Cerebral Blood Flow and Metabolism 42 (6), S. 1104 - 1119 (2022)

Perlman, O.; Zhu, B.; Zaiss, M.; Rosen, M.; Farrar, C.: An end-to-end AI-based framework for automated discovery of rapid CEST/MT MRI acquisition protocols and molecular parameter quantification (AutoCEST). Magnetic Resonance in Medicine 87 (6), S. 2792 - 2810 (2022)

Caruana, N.; Seymour, K.: Objects that induce face pareidolia are prioritized by the visual system. British Journal of Psychology 113 (2), S. 496 - 507 (2022)

Jackson, C.; Seymour, K.: Holistic processing of gaze cues during interocular suppression. Scientific Reports 12 (1), 7717 (2022)

Lubianiker, N.; Paret, C.; Dayan, P.; Hendler, T.: Neurofeedback through the lens of reinforcement learning. Trends in Neurosciences Epub ahead (2022)

Nazemorroaya, A.; Aghaeifar, A.; Shiozawa, T.; Hirt, B.; Schulz, H.; Scheffler, K.; Hagberg, G.: Developing formalin-based fixative agents for post mortem brain MRI at 9.4 T. Magnetic Resonance in Medicine 87 (5), S. 2481 - 2494 (2022)

Noei, S.; Zouridis, I.; Logothetis, N.; Panzeri, S.; Totah, N.: Distinct ensembles in the noradrenergic locus coeruleus are associated with diverse cortical states. Proceedings of the National Academy of Sciences of the United States of America 119 (18), e2116507119 (2022)

Bröker, F.; Love, B.; Dayan, P.: When unsupervised training benefits category learning. Cognition 221, 104984 (2022)

Glang, F.; Nikulin, A.; Bause, J.; Heule, R.; Steffen, T.; Avdievich, N.; Scheffler, K.: Accelerated MRI at 9.4 T with electronically modulated time-varying receive sensitivities. Magnetic Resonance in Medicine Epub ahead (2022)

Kastner, D.; Miller, E.; Yang, Z.; Roumis, D.; Frank, L.; Dayan, P.: Spatial preferences account for inter-animal variability during the continual learning of a dynamic cognitive task. Cell Reports 39 (3), 110708 (2022)

Robson, D.; Li, J.: A dynamical systems view of neuroethology: uncovering stateful computation in natural behaviors. Current Opinion in Neurobiology 73, 102517, S. 1 - 11 (2022)

Zhou, J.; Zaiss, M.; Knutsson, L.; Sun, P.; Ahn, S.; Aime, S.; Bachert, P.; Blakeley, J.; Cai, K.; Chappell, M. et al.; Chen, M.; Gochberg, D.; Goerke, S.; Heo, H.-Y.; Jiang, S.; Jin, T.; Kim, S.-G.; Laterra, J.; Paech, D.; Pagel, M.; Park, J.; Reddy, R.; Sakata, A.; Sartoretti-Schefer, S.; Sherry, A.; Smith, S.; Stanisz, G.; Sundgren, P.; Tagao, O.; Vandsburger, M.; Wen, Z.; Wu, Y.; Zhang, Y.; Zhu, W.; Zu, Z.; van Zijl, P.: Review and consensus recommendations on clinical APT-weighted imaging approaches at 3T: Application to brain tumors. Magnetic Resonance in Medicine Epub ahead (2022)

Brown, T.; Brainard, G.; Cajochen, C.; Czeisler, C.; Hanifin, J.; Lockley, S.; Lucas, R.; Münch, M.; O'Hagan, J.; Peirson, S. et al.; Price, L.; Roenneberg, R.; Schlangen, L.; Skene, D.; Spitschan, M.; Vetter, C.; Zee, P.; Wright, K.: Recommendations for daytime, evening, and nighttime indoor light exposure to best support physiology, sleep, and wakefulness in healthy adults. PLoS Biology 20 (3) (2022)

Ekhtiari, H.; Zare-Bidoky, M.; Sangchooli, A.; Janes, A.; Kaufman, M.; Oliver, J.; Prisciandaro, J.; Wüstenberg, T.; Anton, R.; Bach , P. et al.; Baldacchino, A.; Beck, A.; Bjork, J.; Brewer, J.; Childress, A.; Claus, E.; Courtney, K.; Ebrahimi, M.; Filbey, F.; Ghahremani, D.; Azbari, P.; Goldstein, R.; Goudrian, A.; Grodin, E.; Hamilton, C.; Hanlon, P.; Abharian, P.; Heinz, A.; Joseph, J.; Kiefer, F.; Zonoozi, A.; Kober, H.; Kuplicki, R.; Li, Q.; London, E.; McClernon, J.; Noori, H.; Owens, M.; Paulus, M.; Perini, I.; Potenza, M.; Potvin, S.; Ray, L.; Schacht, J.; Seo, D.; Sinha, R.; Smolka, M.; Spanagel, F.; Steele, V.; Stein, E.; Steins Loeber, S.; Tapert, S.; Verdejo-Garcia, A.; Wetherill, R.; Wilson, S.; Witkiewitz, K.; Yuan, K.; Zhang, X.; Zilverstand, A.: A Methodological Checklist for fMRI Drug Cue Reactivity Studies: Development and Expert Consensus. Nature Protocols 17 (3), S. 567 - 595 (2022)

Geldschläger, O.; Bosch, D.; Henning, A.: OTUP-workflow: Target specific optimization of the transmit k-space trajectory for flexible universal parallel transmit RF pulse design. NMR in Biomedicine Epub ahead (2022)

Joyce, D.; Spitschan, M.; Zeitzer, J.: Duration invariance and intensity dependence of the human circadian system phase shifting response to brief light flashes. Proceedings of the Royal Society B: Biological Sciences 289 (1970) (2022)

Kapoor, V.; Dwarakanath, A.; Safavi, S.; Werner, J.; Besserve, M.; Panagiotaropoulos, T.; Logothetis, N.: Decoding internally generated transitions of conscious contents in the prefrontal cortex without subjective reports. Nature Communications 13, 1535 (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 Epub ahead (2022)