Suchergebnisse

Küster, K.; Jahns, S.: Mathe studiert – und dann? Mitteilungen der Deutschen Mathematiker-Vereinigung 30 (2), S. 136 - 139 (2022)

Lee, J.; Mack, A.; Shiozawa, T.; Longo, R.; Trombo, G.; Scheffler, K.; Hagberg, G.: Microvascular imaging of the unstained human superior colliculus using synchrotron-radiation phase-contrast microtomography. Scientific Reports 12, 9238 (2022)

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)

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)

Bellucci, G.: A Model of Trust. Games 13 (3), 39 (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)

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)

Perlman, O.; Ito, H.; Herz, K.; Shono, N.; Nakashima, H.; Zaiss, M.; Chiocca, E.; Cohen, O.; Rosen, M.; Farrar, C.: Quantitative imaging of apoptosis following oncolytic virotherapy by magnetic resonance fingerprinting aided by deep learning. Nature Biomedical Engineering 6 (5), S. 648 - 657 (2022)

Veldhuizen, M.; Cecchetto, C.; Fjaeldstad, A.; Farruggia, M.; Hartig, R.; Nakamura, Y.; Pellegrino, R.; Yeung, A.; Fischmeister, F.: Future Directions for Chemosensory Connectomes: Best Practices and Specific Challenges. Frontiers in Systems Neuroscience 16, 885304 (2022)

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

Grandjean, J.; Desrosiers-Gregoire, G.; Anckaerts, C.; Angeles-Valdez, D.; Ayad, F.; Barrière, D.; Blockx, I.; Bortel, A.; Broadwater, M.; Cardoso, B. et al.; Célestine, M.; Chavez-Negrete, J.; Choi, S.; Christiaen, E.; Clavijo, P.; Colon-Perez, L.; Cramer, S.; Daniele, T.; Dempsey, E.; Diao, Y.; Doelemeyer, A.; Dopfel, D.; Dvořáková, L.; Falfán-Melgoza, C.; Fernandes, F.; Fowler, C.; Fuentes-Ibañez, A.; Garin, C.; Gelderman, E.; Golden, C. E.; Guo, C. C.; Henckens, M. J.; Hennessy, L. A.; Herman, P.; Hofwijks, N.; Horien, C.; Ionescu, T. M.; Jones, J.; Kaesser, J.; Kim, E.; Lambers, H.; Lazari, A.; Lee, S.-H.; Lillywhite, A.; Liu, Y.; Liu, Y. Y.; López-Castro, A.; López-Gil, X.; Ma, Z.; MacNicol, E.; Madularu, D.; Mandino, F.; Marciano, S.; McAuslan, M. J.; McCunn, P.; McIntosh, A.; Meng, X.; Meyer-Baese, L.; Missault, S.; Moro, F.; Naessens, D.; Nava-Gomez, L. J.; Nonaka, H.; Ortiz, J. J.; Paasonen, J.; Peeters, L. M.; Pereira, M.; Perez, P. D.; Pompilus, M.; Prior, M.; Rakhmatullin, R.; Reimann, H. M.; Reinwald, J.; de Rio, R. T.; Rivera-Olvera, A.; Ruiz-Pérez, D.; Russo, G.; Rutten, T. J.; Ryoke, R.; Sack, M.; Salvan, P.; Sanganahalli, B. G.; Schroeter, A.; Seewoo, B. J.; Selingue, E.; Seuwen, A.; Shi, B.; Sirmpilatze, N.; Smith, J. A.; Smith, C.; Sobczak, F.; Stenroos, P. J.; Straathof, M.; Strobelt, S.; Sumiyoshi, A.; Takahashi, K.; Torres-Garcia, M.; Tudela, R.; van den Berg, M.; van der Marel, K.; van Hout, A. T.; Vertullo, R.; Vidal, B.; Vrooman, R. M.; Wang, V. X.; Wank, I.; Watson, D. J.; Yin, T.; Zhang, Y.; Zurbruegg, S.; Achard, S.; Alcauter, S.; Auer, D. P.; Barbier, E. L.; Baudewig, J.; Beckmann, C. F.; Beckmann, N.; Becq, G. J.; Blezer, E. L.; Bolbos, R.; Boretius, S.; Bouvard, S.; Budinger, E.; Buxbaum, J. D.; Cash, D.; Chapman, V.; Chuang, K.-H.; Ciobanu, L.; Coolen, B.; Dalley, J. W.; Dhenain, M.; Dijkhuizen, R. M.; Esteban, O.; Faber, C.; Febo, M.; Feindel, K. W.; Forloni, G.; Fouquet, J.; Garza-Villarreal, E. A.; Gass, N.; Glennon, J. C.; Gozzi, A.; Gröhn, O.; Harkin, A.; Heerschap, A.; Helluy, X.; Herfert, K.; Heuser, A.; Homberg, J. R.; Houwing, D. J.; Hyder, F.; Ielacqua, G. D.; Jelescu, I. O.; Johansen-Berg, H.; Kaneko, G.; Kawashima, R.; Keilholz, S. D.; Keliris, G. A.; Kelly, C.; Kerskens, C.; Khokhar, J. Y.; Kind, P. C.; Langlois, J.-B.; Lerch, J. P.; López-Hidalgo, M. A.; Manahan-Vaughan, D.; Marchand, F.; Mars, R. B.; Marsella, G.; Micotti, E.; Muñoz-Moreno, E.; Near, J.; Niendorf, T.; Otte, W. M.; Pais, P.; Pan, W.-J.; Prado-Alcalá, R. A.; Quirarte, G. L.; Rodger, J.; Rosenow, T.; Baptista, C. S.; Sartorius, A.; Sawiak, S. J.; Scheenen, T. W.; Shemesh, N.; Shih, Y.-Y. I.; Shmuel, A.; Soria, G.; Stoop, R.; Thompson, G. J.; Till, S. M.; Todd, N.; Van Der Linden, A.; van der Toorn, A.; van Tilborg, G. A.; Vanhove, C.; Veltien, A.; Verhoye, M.; Wachsmuth, L.; Weber-Fahr, W.; Wenk, P.; Yu, X.; Zerbi, V.; Zhang, N.; Zhang, B. B.; Zimmer, L.; Devenyi, G. A.; Chakravarty, M. M.; Hess, A.: StandardRat: A multi-center consensus protocol to enhance functional connectivity specificity in the rat brain. (eingereicht)

Kaanders, P.; Sepulveda, P.; Folke, T.; Ortoleva, P.; De Martino, B.: Humans actively sample evidence to support prior beliefs. eLife 11, e71768 (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 (2022)

Masoumi, R.; Oloomi, F.; Sajjadi, S.; Shirazi, A.; Jafari, G.: Modified Heider balance on Erdös-Rényi networks. Physical Review E (106), 034309 (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)

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)