Principle Investigators
Prof. Dr. Matthias Bethge (Spokesperson)
Tübingen AI Center
University of Tübingen
Phone: +49 7071 29-70862
matthias.bethge@uni-tuebingen.de
Project 4: Causal inference strategies in human vision
Project 12: Image processing within a locally complete retinal ganglion cell population
Michael Black, Ph.D., Direktor (Vice-Spokesperson)
Tübingen AI Center
Max Planck Institute for Intelligent Systems
Phone: +49 7071 601-1801
black@tue.mpg.de
Project 9: Natural dynamic scene processing in the human brain
Judith Lam
Dr. Judith Lam (Executive Coordinator)
University of Tübingen
Phone: +49 7071 29-70866
Judith.lam@uni-tuebingen.de
Prof. Dr. Zeynep Akata
Helmholtz Munich & Technical University Munich
Tübingen AI Center
zeynep.akata@uni-tuebingen.de
zeynep.akata@helmholtz-munich.de
Project 17: Learning explainable policies for self-driving cars from little data
Prof. Dr. Andreas Bartels
University of Tübingen
Werner Reichardt Centre for Integrative Neuroscience (CIN)
andreas.bartels@cin.uni-tuebingen.de
Project 7: Large-scale neuronal interactions during natural vision
Project 9: Natural dynamic scene processing in the human brain
Prof. Dr. Philipp Berens
University of Tübingen
Hertie Institute for AI in Brain Health
philipp.berens@uni-tuebingen.de
Project 13: Visual processing of feedforward and feedback signals in the dLGN
Project INF: A collaborative data management platform for reproducible neuroscience and machine learning
Prof. Dr. Laura Busse
Ludwigs-Maximilians-University of Munich
Division of Neurobiology
busse@biologie.uni-muenchen.de
Project 10: Natural stimuli for mice: environment statistics and neural representations in the early visual system
Project 13: Visual processing of feedforward and feedback signals in the dLGN
Prof. Dr. Peter Dayan
Tübingen AI Center
Max Planck Institute for Biological Cybernetics
Projekt 5: Task-dependent top-down modulation of visual processing
Prof. Dr. Thomas Euler
University of Tübingen
Institute for Ophthalmic Research
Werner Reichardt Centre for Integrative Neuroscience (CIN)
thomas.euler@cin.uni-tuebingen.de
Project 10: Natural stimuli for mice: environment statistics and neural representations in the early visual system
Project 12: Image processing within a locally complete retinal ganglion cell population
Dr. Katrin Franke
Stanford Medicine, Department for Ophthalmology
katrin.franke@cin.uni-tuebingen.de
Project 11: Impacts of eye movements on visual processing: from retina to perception
Prof. Dr. Volker Franz
University of Tübingen
Wilhelm Schickard Institute for Computer Science
Project 5: Task–dependent top down modulation of visual processing
Prof. Dr. Andreas Geiger
Tübingen AI Center
University of Tübingen
andreas.geiger@uni-tuebingen.de
Projekt 17: Learning explainable policies for self-driving cars from little data
Prof. Dr. Ziad Hafed
University of Tübingen
Werner Reichardt Centre for Integrative Neuroscience (CIN)
ziad.hafed@cin.uni-tuebingen.de
Project 11: Impacts of eye movements on visual processing: from retina to perception
Prof. Dr.-Ing. Hendrik Lensch
University of Tübingen
Wilhelm Schickard Institute for Computer Science
hendrik.lensch@uni-tuebingen.de
Project 2: Robust material inference
Prof. Dr. Ulrike von Luxburg
Tübingen AI Center
University of Tübingen
Wilhelm Schickard Institute for Computer Science
luxburg@informatik.uni-tuebingen.de
Project 5: Task–dependent top down modulation of visual processing
Prof. Dr. Jakob Macke
Tübingen AI Center
Eberhard Karls Universität Tübingen
Prof. Dr. Bernhard Schölkopf
Tübingen AI Center
Max Planck Institute for Intelligent Systems
bernhard.schoelkopf@tuebingen.mpg.de
Project 4: Causal inference strategies in human vision
Dr. Christina Schwarz
University of Tübingen
Institute for Ophthalmic Research
christina.schwarz@klinikum.uni-tuebingen.de
Project 14: Retinal Disease Models as a Tool for Understanding Robust Vision
Prof. Dr. Markus Siegel
University of Tübingen
Werner Reichardt Centre for Integrative Neuroscience (CIN)
markus.siegel@cin.uni-tuebingen.de
Project 7: Large-scale neuronal interactions during natural vision
Prof. Dr. Fabian Sinz
Georg-August-University of Göttingen
Institute für Computer Science
Project 6: Probabilistic inference in early visual cortex
Project INF: A collaborative data management platform for reproducible neuroscience and machine learning
PD Dr. med. Katarina Stingl
University of Tübingen
Institute for Ophthalmic Research
Werner Reichardt Centre for Integrative Neuroscience (CIN)
katarina.stingl@med.uni-tuebingen.de
Project 14: Retinal Disease Models as a Tool for Understanding Robust Vision
Prof. Dr. Siegfried Wahl
University of Tübingen
ZEISS Vision Science Lab
siegfried.wahl@uni-tuebingen.de
Project T01: Physiologically inspired robust electro-optical autofocals
Prof. Dr. Felix Wichmann
University of Tübingen
Wilhelm Schickard Institute for Computer Science
felix.wichmann@uni-tuebingen.de
Project 4: Causal inference strategies in human vision