Seelig Group

We use optical microscopy techniques, such as two-photon calcium imaging, to understand how neural networks in the brain change over time, from single synapses to entire circuits, and how these changes relate to behavior. Our research focuses on the model organism Drosophila melanogaster where genetically identified, comprehensive neural networks underlying adaptive behaviors can be studied. We interpret […]

Scholz Group

The goal of the group ‘Neural Information Flow’ is to understand how animals integrate multiple sources of information to guide their behavior. We study foraging in the roundworm C. elegans, a behavior that is essential for survival. The worms’ brain is particularly interesting, as locomotion and feeding are controlled in two distinct neural circuits connected by […]

Schnell Group

Everyone who has ever tried to swat a fly will appreciate the incredibly fast and acrobatic maneuvers flies can perform. Within the fraction of a second, they can detect the motion of a hand or any other potential threat and can evade the danger by a rapid change in course. The species we study, the […]

Oberlaender Group

Understanding how the brain is able to transform sensory input into behavior is one of the major challenges of systems neuroscience. While recording and imaging during sensory-motor tasks have identified neural substrates of sensation and action in various cortical areas, the crucial questions of 1) how these correlates are implemented within the underlying neural networks […]

Malkemper Group

We aim to understand how animals detect the Earth’s magnetic field and use it for orientation. In a top-down approach we study the neural circuits involved in the perception of magnetic fields from the processing centers in the brain all the way back to the primary receptor cells. Our model species is the African mole-rat Fukomys […]

Lightfoot Group

Kin-recognition is abundant in the natural world where it regulates diverse behaviours of myriad social interactions, including mating behaviours and predator-prey dynamics. Perhaps the most striking example of kin recognition is found in organisms with the capability to harm or even kill their relatives, whereby it is fundamental to prevent cannibalism of kin. Despite the […]

Koseska Group

We focus on developing a generic theory of computations and learning on the level of biochemical networks in single cells and single-cell organisms. We investigate how single cells employ working memory to integrate multiple time-varying signals as a means to generate stable identity, while simultaneously balancing plasticity in cellular responses. Formalizing these principles through computations […]

Kerr Group

The overall research aim of the Department of Behavior and Brain Organization (BBO) is to quantify how mammals use vision to make decisions and the underlying computations that the neuronal circuitry performs during natural behaviors. To gain access to the full repertoire of an animal’s behavioral strategies, self-determined sensory input, as well as the underlying neural activity, […]

Briggman Group

To acquire the data needed to build biologically plausible models, we develop and utilize a multidisciplinary range of experimental techniques. We record cellular resolution images of neuronal populations from behaving animals. In addition, we use fluorescence microscopy to identify the expression patterns of specific proteins. Finally, we reconstruct synaptic connectivity using 3D electron microscopy. By […]