Suchergebnisse

Hennig, J.; Scheffler, K.; Speck, O.: Method for measuring the magnetic resonance (NMR) by steady state signals (SSFP). US6677750B2 (2004)

Blanz, V.; Vetter, T.: Method and apparatus for the processing of images. US6556196B1 (2003)

Blanz, V.; Vetter, T.: Method and device for the processing of images based on morphable models. US6556196B1 (2003)

Oeltermann, A.: Methods and devices for measuring electrical currents. EP1273922A1 (2003)

Götz, K.: Mechanoelektrischer Messumformer. DE2361385B2 (1978)

Götz, K.: Mechanical-Electrical Transducer. US3956618A (1976)

Hanák, B.: luox-2022-0001 deposition. (eingereicht)

Zeitzer, J.: luox-2022-0002 deposition. (eingereicht)

Roth, M.; Lindner, A.; Fallgatter, A.; Wittorf, A.; Jusyte, A.: Disturbance of the Sense of Agency in Obsessive-Compulsive Disorder and its Modulation by Social Context. (eingereicht)

Chang, H.; Perkins, M.; Novaes, L.; Qian, F.; Han, W.; de Araujo, I.: An Amygdalar-Vagal-Glandular Circuit Controls the Intestinal Microbiome. (eingereicht)

Hainke, L.; Spitschan, M.; Priller, J.; Taylor, P.; Dowsett, J.: Visually Evoked 40 Hz Gamma Activity Enhanced by Transcranial Electrical Stimulation. (eingereicht)

Hussain, Z.; Binz, M.; Mata, R.; Wulff, D.: A tutorial on open-source large language models for behavioral science. (eingereicht)

Mahler, L.; Steiglechner, J.; Bender, B.; Lindig, T.; Ramadan, D.; Bause, J.; Birk, F.; Heule, R.; Charyasz, E.; Erb, M. et al.; Kumar, V.; Hagberg, G.; Martin, P.; Lohmann, G.; Scheffler, K.: UltraCortex: Submillimeter Ultra-High Field 9.4 T Brain MR Image Collection and Manual Cortical Segmentations. (eingereicht)

Meder, B.; Wu, C.; Rebitschek, F.: Causal Analysis of Absolute and Relative Risk Reductions. (eingereicht)

Nath, S.; Brändle, F.; Schulz, E.; Dayan, P.; Brielmann, A.: Relating Objective Complexity, Subjective Complexity and Beauty in Binary Pixel Patterns. Psychology of Aesthetics, Creativity, and the Arts Epub ahead (2024)

Shen, T.; Dayan, P.: Risking your Tail: Modeling Individual Differences in Risk-sensitive Exploration using Conditional Value at Risk and Bayes Adaptive Markov Decision Processes. (eingereicht)

Valton, V.; Mkrtchian, A.; Moses-Payne, M.; Gray, A.; Kieslich, K.; VanUrk, S.; Samborska, V.; Halahakoon, D.; Manohar, S.; Dayan, P. et al.; Husain, M.; Roiser, J.: A computational approach to understanding effort-based decision-making in depression. (eingereicht)

Alon, N.; Schulz, L.; Barnby, J.; Rosenschein, J.; Dayan, P.: Detecting and Deterring Manipulation in a Cognitive Hierarchy. (eingereicht)

Moenke, G.; Schaefer, T.; Parto-Dezfouli, M.; Kajal, D.; Fuertinger, S.; Schmiedt, J.; Fries, P.: Systems Neuroscience Computing in Python (SyNCoPy): A Python Package for Large-scale Analysis of Electrophysiological Data. (eingereicht)

Schäfer, T.; Thalmann, M.; Schulz, E.; Doeller, T.; Theves, S.: The hippocampus supports interpolation into new states during category abstraction. (eingereicht)