Suchergebnisse

Lara-Vásquez, A.; Espinosa, N.; Durán, E.; Stockle, M.; Fuentealba, P.: Midline thalamic neurons are differentially engaged during hippocampus network oscillations. Scientific Reports 6, 29807, S. 1 - 16 (2016)

Machulla, T.-K.; Di Luca, M.; Ernst, M.: The consistency of crossmodal synchrony perception across the visual, auditory, and tactile senses. Journal of Experimental Psychology: Human Perception and Performance 42 (7), S. 1026 - 1038 (2016)

Moutoussis, M.; Dolan, R.; Dayan, P.: How people use social information to find out what to want in the paradigmatic case of inter-temporal preferences. PLoS Computational Biology 12 (7), S. 1 - 17 (2016)

Petrini, K.; Caradonna, A.; Foster, C.; Burgess, N.; Nardini, M.: How vision and self-motion combine or compete during path reproduction changes with age. Scientific Reports 6 (29163), S. 1 - 10 (2016)

Rigoli, F.; Chew, B.; Dayan, P.; Dolan, R.: Multiple value signals in dopaminergic midbrain and their role in avoidance contexts. NeuroImage 135, S. 197 - 203 (2016)

Robinson, N.; Zaidi, A.; Rana, M.; Prasad, V.; Guan, C.; Birbaumer, N.; Sitaram, R.: Real-Time Subject-Independent Pattern Classification of Overt and Covert Movements from fNIRS Signals. PLoS ONE 11 (7), S. 1 - 21 (2016)

Scheffler, K.; Ehses, P.: High-resolution mapping of neuronal activation with balanced SSFP at 9.4 tesla. Magnetic Resonance in Medicine 76 (1), S. 163 - 171 (2016)

Shah, D.; Blockx, I.; Keliris, G.; Kara, F.; Jonckers, E.; Verhoye, M.; Van der Linden, A.: Cholinergic and serotonergic modulations differentially affect large-scale functional networks in the mouse brain. Brain Structure and Function 221 (6), S. 3067 - 3079 (2016)

Angelovski, G.: Biosensitive Kontrastmittel für die Magnetresonanztomographie: was wir mit ihnen wirklich tun können. Angewandte Chemie 128 (25), S. 7152 - 7161 (2016)

Angelovski, G.: What We Can Really Do with Bioresponsive MRI Contrast Agents. Angewandte Chemie: International Edition 55 (25), S. 7038 - 7046 (2016)

Bisdas, S.; Charyasz-Leks, E.; Roder, C.; Soares Tatagiba, M.; Ernemann, U.; Klose, U.: Evidence of Resting-state Activity in Propofol-anesthetized Patients with Intracranial Tumors. Academic Radiology 23 (2), S. 192 - 199 (2016)

Genewein, T.; Braun, D.: Bio-inspired feedback-circuit implementation of discrete, free energy optimizing, winner-take-all computations. Biological Cybernetics 110 (2), S. 135 - 150 (2016)

Goense, J.; Bohraus, Y.; Logothetis, N.: fMRI at High Spatial Resolution: Implications for BOLD-Models. Frontiers in Computational Neuroscience 10, 66, S. 1 - 13 (2016)

Grassi, P.; Zaretskaya, N.; Bartels, A.: Parietal cortex mediates perceptual Gestalt grouping independent of stimulus size. NeuroImage 133, S. 367 - 377 (2016)

Gündüz, S.; Savić, T.; Pohmann, R.; Logothetis, N.; Scheffler, K.; Angelovski, G.: Ratiometric Method for Rapid Monitoring of Biological Processes Using Bioresponsive MRI Contrast Agents. ACS Sensors 1 (5), S. 483 - 487 (2016)

Hadar, R.; Vengeliene, V.; Barroeta Hlusicke, E.; Canals, S.; Noori, H.; Wieske, F.; Rummel, J.; Harnack, D.; Heinz, A.; Spanagel, R. et al.; Winter, C.: Paradoxical augmented relapse in alcohol-dependent rats during deep-brain stimulation in the nucleus accumbens. Translational Psychiatry 6 (6), S. 1 - 9 (2016)

Juras, V.; Bohndorf, K.; Heule, R.; Kronnerwetter, C.; Szomolanyi, P.; Hager, B.; Bieri, O.; Zbyn, S.; Trattnig, S.: A comparison of multi-echo spin-echo and triple-echo steady-state T2 mapping for in vivo evaluation of articular cartilage. European Radiology 26 (6), S. 1905 - 1912 (2016)

Kraff, O.; Lazik-Palm, A.; Heule, R.; Theysohn, J.; Bieri, O.; HH, Q.: 7 Tesla quantitative hip MRI: a comparison between TESS and CPMG for T2 mapping. Magnetic Resonance Materials in Physics, Biology and Medicine 29 (3), S. 503 - 512 (2016)

Lohmann, G.; Stelzer, J.; Zuber, V.; Buschmann, T.; Margulies, D.; Bartels, A.; Scheffler, K.: Task-Related Edge Density (TED): A New Method for Revealing Dynamic Network Formation in fMRI Data of the Human Brain. PLoS ONE 11 (6), S. 1 - 22 (2016)

May, K.; Zhaoping, L.: Efficient Coding Theory Predicts a Tilt Aftereffect from Viewing Untilted Patterns. Current Biology 26 (12), S. 1571 - 1576 (2016)