Suchergebnisse

Bareš, M.; Apps, R.; Avanzino, L.; Breska, A.; D'Angelo, E.; Filip, P.; Gerwig, M.; Ivry, R.; Lawrenson, C.; Louis, E. et al.; Lusk, N.; Manto, M.; Meck, W.; Mitoma, H.; Petter, E.: Consensus paper: Decoding the Contributions of the Cerebellum as a Time Machine: From Neurons to Clinical Applications. The Cerebellum 18 (2), S. 266 - 286 (2019)

Bülthoff, I.; Mohler, B.; Thornton, I.: Face recognition of full-bodied avatars by active observers in a virtual environment. Vision Research 157, S. 242 - 251 (2019)

Cadena, S.; Denfield, G.; Walker, E.; Gatys, L.; Tolias, A.; Bethge, M.; Ecker, A.: Deep convolutional models improve predictions of macaque V1 responses to natural images. PLoS Computational Biology 15 (4), S. 1 - 27 (2019)

Deshmane, A.; Zaiss, M.; Lindig, T.; Herz, K.; Schuppert, M.; Gandhi, C.; Bender, B.; Ernemann, U.; Scheffler, K.: 3D gradient echo snapshot CEST MRI with low power saturation for human studies at 3T. Magnetic Resonance in Medicine 81 (4), S. 2412 - 2423 (2019)

Éltetö, N.; Janacsek, K.; Kóbor, A.; Takács, Á.; Tóth-Fáber, E.; Németh, D.: Do adolescents take more risks? Not when facing a novel uncertain situation. Cognitive Development 50, S. 105 - 117 (2019)

König, S.; Goeke, C.; Meilinger, T.; König, P.: Are allocentric spatial reference frames compatible with theories of Enactivism? Psychological Research 83 (3), S. 498 - 513 (2019)

Madipakkam, A.; Bellucci, G.; Rothkirsch, M.; Park, S.: The influence of gaze direction on food preferences. Scientific Reports 9 (1), 5604, S. 1 - 9 (2019)

Mangano, G.; Cipolotti, L.; Turriziani, P.; Giammusso, I.; Smirni, D.; Zhaoping, L.; Bracco, M.; Oliveri, M.: Exploring the neural correlates of the reversed letter effect: Evidence from left and right parietal patients. Neuroscience Letters 699, S. 217 - 224 (2019)

Neugebauer, K.; Hammans, C.; Wensing, T.; Kumar, V.; Grodd, W.; Mevissen, L.; Sternkopf, M.; Novakovic, A.; Abel, T.; Habel, U. et al.; Nickl-Jockschat, T.: NGF serum levels are associated with regional gray matter volume differences in schizophrenia patients. Frontiers in Psychiatry 10, 275, S. 1 - 14 (2019)

Neugebauer, K.; Hammans, C.; Wensing, T.; Kumar, V.; Grodd, W.; Mevissen, L.; Sternkopf, M.; Novakovic, A.; Abel, T.; Habel, U. et al.; Nickl-Jockschat , T.: Nerve Growth Factor Serum Levels Are Associated With Regional Gray Matter Volume Differences in Schizophrenia Patients. Frontiers in Psychiatry 10, 275, S. 1 - 14 (2019)

Pais-Roldán, P.; Edlow, B.; Jiang, Y.; Stelzer, J.; Zou, M.; Yu, X.: Multimodal assessment of recovery from coma in a rat model of diffuse brainstem tegmentum injury. NeuroImage 189, S. 615 - 630 (2019)

Papanikolaou, A.; Keliris, G.; Papageorgiou, T.; Schiefer, U.; Logothetis, N.; Smirnakis, S.: Organization of area hV5/MT+ in subjects with homonymous visual field defects. NeuroImage 190, S. 254 - 268 (2019)

Pujales-Paradela, R.; Savić, T.; Brandariz, I.; Pérez-Lourido, P.; Angelovski, G.; Esteban-Gómez, D.; Platas-Iglesias, C.: Reinforced Ni(II)-cyclam derivatives as dual 1H/19F MRI probes. Chemical Communications 55 (28), S. 4115 - 4118 (2019)

Scheffler, K.; Heule, R.; Baez-Yanez, M.; Kardatzki, B.; Lohmann, G.: The BOLD sensitivity of rapid steady-state sequences. Magnetic Resonance in Medicine 81 (4), S. 2526 - 2535 (2019)

Schulz, E.; Gershman, S.: The algorithmic architecture of exploration in the human brain. Current Opinion in Neurobiology 55, S. 7 - 14 (2019)

Schürmann, T.; Mohler, B.; Peters, J.; Beckerle, P.: How cognitive models of human body experience might push robotics. Frontiers in Neurorobotics 13, 14, S. 1 - 6 (2019)

Schwarz, L.; Kreifelts, B.; Wildgruber, D.; Erb, M.; Scheffler, K.; Ethofer, T.: Properties of face localizer activations and their application in functional magnetic resonance imaging (fMRI) fingerprinting. PLoS One 14 (4), S. 1 - 21 (2019)

Totah, N.; Logothetis, N.; Eschenko, O.: Noradrenergic ensemble-based modulation of cognition over multiple timescales. Brain Research 1709, S. 50 - 66 (2019)

Wallis, T.; Funke, C.; Ecker, A.; Gatys, L.; Wichmann, F.; Bethge, M.: Image content is more important than Bouma’s Law for scene metamers. eLife 8, S. 1 - 43 (2019)

Wallis, T.; Funke, C.; Ecker, A.; Gatys, L.; Wichmann, F.; Bethge, M.: Image content is more important than1Bouma’s Law for scene metamers. eLife 8, S. 1 - 43 (2019)