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Zeitschriftenartikel (5121)

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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)
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Buendía, V.; Villegas, P.; Burioni, R.; Muñoz, M.: The broad edge of synchronization: Griffiths effects and collective phenomena in brain networks. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 380 (2227), 20200424 (2022)
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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)
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Birk, F.; Glang, F.; Loktyushin, A.; Birkl, C.; Ehses, P.; Scheffler, K.; Heule, R.: High-resolution neural network-driven mapping of multiple diffusion metrics leveraging asymmetries in the balanced SSFP frequency profile. NMR in Biomedicine 35 (6) (2022)
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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)
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Li, M.; Danyeli, L.; Colic, L.; Wagner, G.; Smesny, S.; Chand, T.; Di, X.; Biswal, B.; Kaufmann, J.; Reichenbach, J. et al.; Speck, O.; Walter, M.; Sen, Z.: The differential association between local neurotransmitter levels and whole-brain resting-state functional connectivity in two distinct cingulate cortex subregions. Human Brain Mapping 43 (9), S. 2833 - 2844 (2022)
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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)
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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 Epub ahead, e4733 (2022)
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Bellucci, G.: A Model of Trust. Games 13 (3), 39 (2022)
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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)
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Castro-Rodrigues, P.; Akam, T.; Snorasson, I.; Camacho, M.; Paixão, V.; Maia, A.; Barahona-Corrêa, J.; Dayan, P.; Simpson, H.; Costa, R. et al.; Oliveira-Maia, A.: Explicit knowledge of task structure is a primary determinant of human model-based action. Nature Human Behaviour Epub ahead (2022)
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Dorst, J.; Borbath, T.; Ruhm, L.; Henning, A.: 31 P Transversal Relaxation Times and Metabolite Concentrations in the Human Brain at 9.4T. NMR in Biomedicine Epub ahead (2022)
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Jackson, C.; Seymour, K.: Holistic processing of gaze cues during interocular suppression. Scientific Reports 12 (1), 7717 (2022)
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Lubianiker, N.; Paret, C.; Dayan, P.; Hendler, T.: Neurofeedback through the lens of reinforcement learning. Trends in Neurosciences Epub ahead (2022)
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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)
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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)
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Bröker, F.; Love, B.; Dayan, P.: When unsupervised training benefits category learning. Cognition 221, 104984 (2022)
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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)
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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)
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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)
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