Matthias

Matthias Bethge

Publications, Email, Homepage, Phone: +49 7071 29 89017
Group Leader
My research goal is to understand how the brain makes sense of its high-dimensional sensory input. In particular, I seek to understand the formation of distributed neural representations in the visual system by studying deep neural networks, natural image statistics, unsupervised learning, and neural population coding, and by developing new data-analysis tools.
Heike

Heike König

Email, Phone: +49 7071 29 89018
Secretary
Tina

Tina Gauger

Email, Phone: +49 7071 29 89019
Bernstein Coordinator
Executive Coordinator SFB1233 "Robust Vision" & Bernstein Center for Computational Neuroscience Tübingen
Judith

Judith Lam (parental leave)

Email, Homepage, Phone: +49 7071 29 89019
Bernstein Coordinator
At the Bernstein Center Tübingen, scientists from various disciplines, including theoretical and experimental neurobiology, machine learning, and medicine, collaborate in order to analyze the basis of inference processes in the brain. In particular, a main research goal is to understand the coordinated interaction of neurons during information processing.
Isabel

Isabel Suditsch

Email, Phone: +49 7071 601 1924
Coordinator CyberValley Unit
Alexander

Alexander Ecker

Publications, Email, Phone: +49 7071 601 1919
Project Leader
I want understand how neural systems perform visual perception. At the interface of computer vision and neuroscience, I try to understand both how the human visual system works and how to teach computers to make sense of images. I use an interdisciplinary approach that combines methods from machine learning and computer vision with behavioral studies and neuronal population recordings in the brain. My work is driven by the idea that we can advance artificial intelligence by understanding how biological systems implement intelligent behavior.
Wieland

Wieland Brendel

Publications, Email, Phone: +49 7071 601 1558
Postdoc
My research goal is to close the gap between the visual information processing in humans and machines. One of the most striking differences is the susceptibility of Deep Neural Networks (DNNs) to almost imperceptible perturbations of their inputs. Getting machines closer to humans will require fundamentally new concepts to learn causal models of the world. My work aims to quantify the robustness of DNNs, to identify the causes for their susceptibility and to devise solutions by drawing inspiration from Neuroscience and Computer Vision.
Alexander

Alexander Mathis

Publications, Email, Homepage
Postdoc
I am a Marie Curie fellow in the lab of Professor Venkatesh Murthy at the Department of Molecular and Cellular Biology at Harvard University and with Professor Matthias Bethge at the Bernstein Center for Computational Neuroscience at the University of Tuebingen. My main research interests comprise active sensing, odor-guided navigation and optimal coding.
Tom

Tom Wallis

Publications, Email, Homepage
Postdoc
How do we visually experience the world around us in a coherent way, simply from the patterns of photons hitting our retinae? While it seems effortless to us, the formation of this representation by the brain is decidedly difficult to explain. I am working with Prof. Bethge and Prof. Felix Wichmann investigating the mechanisms of visual representation using psychophysics and computational modelling.
Judy

Judy Borowski

Publications, Email
Graduate Student
Alexander

Alexander Böttcher

Publications, Email
Graduate Student
My aim is to understand how the activity of sensory neurons leads to decisions taken by the brain. In particular, I am interested in neural population coding of the primary somatosensory cortex.
Santiago

Santiago Cadena

Publications, Email
Graduate Student
Christina

Christina Funke

Publications, Email
Graduate Student
Robert

Robert Geirhos

Publications, Email
Graduate Student
David

David Klindt

Publications, Email
Graduate Student
Matthias

Matthias Kümmerer

Publications, Email, Phone: +49 7071 6011918
Graduate Student
Learning what properties of an image are associated with human gaze placement is important both for understanding how biological systems explore the environment and for computer vision applications. Recent advances in deep learning for the first time enable us to explain a significant portion of the information expressed in the spatial fixation structure. My interest is twofold: I want to create better models for predicting human fixations in different tasks and on the other hand make use of these models to increase our understanding of how humans perform this task from a neuroscientific and psychophysical standpoint.
Claudio

Claudio Michaelis

Publications, Email
Graduate Student
Jonas

Jonas Rauber

Publications, Email, Homepage
Graduate Student
I want to build more intelligent machines that improve our lives, and doing so by taking inspiration from humans: learning with little supervision, being robust to perturbations, generalizing across tasks, combining modalities, or utilizing hierarchical relationships. In particular, my current research focuses on understanding and improving the robustness of deep neural networks to adversarial perturbations.
Evgenia

Evgenia Rusak

Publications, Email
Graduate Student
Lukas

Lukas Schott

Publications, Email
Graduate Student
Ivan

Ivan Ustyuzhaninov

Publications, Email
Graduate Student
Marissa

Marissa Weis

Publications, Email
Graduate Student
Pranav

Pranav Mamidanna

Publications, Email
Research Assistant
Max

Max Günthner

Publications, Email
Master Student
Steffen

Steffen Schneider

Publications, Email, Homepage
Master Student
My goal is to build machine learning models capable of approaching the performance of biological brains in terms of data-efficiency and robustness to perturbations and changes in their environment. Drawing inspiration from the properties of biological neurons and cortical organization, I am currently studying methods for domain adaptation using optimal transportation theory, adversarial learning and generative models. Besides, I am interested in applications in medical image processing and neuroscience.
Behar

Behar Veliqi

Publications, Email
Software Engineer
Peter

Peter Droege

Publications, Email
Business Coordinator
University of Tuebingen BCCN CIN MPI