Research Groups
With the long-term goal of understanding neural mechanisms in adaptive sensory processing, research in the Active Sensing Group focuses on the active electric sensory system of weakly electric fish.
We study emotional processing in humans and the underlying neural mechanisms, especially the communicative aspects of emotions.
We develop intelligent environments, smart interaction objects and attentive systems with focus on multimodal interaction and sonification for assistive applications that help humans in everyday life.
The Department of Animal Behaviour studies the function and mechanisms of behavoural variation, both in the lab and in the field, in order to understand how and why behaviour evolves and what the fitness consequences are.
We develop robots and other intelligent systems that are capable of social interaction. The aim are applications that provide helpful services in everyday situations.
We analyse psychological factors that increase the acceptance and effectivity of human-machine interaction using experimental-psychological methods.
We work on the sensory control of locomotion and active sensing. In our research, we combine methods from neurobiology, behavioural physiology, neuroinfomatics and biorobotics.
We explore the principles and development of spatial processing related to touch and movement, and ask how the human brain (learns to) understand the body. To this end, we use multiple psychological and neuroscientific methods.
At the Central Lab Facilities, we are exploring methods and processes to enable high-quality research on robots and modern human-machine interfaces.
We investigate the physiological and computational mechanism underlying sensory decision making in the human brain. We particularly focus on multisensory integration and hearing.
We conduct research on methods, architecture and toolchains for efficient software engineering and integration of interactive intelligent systems with applications in robotics and automation.
Our main research objective is the systematic design of resource-efficient microelectronic components for cognitive technical systems.
We focus on mathematical models of language. Our main areas are formal syntax, semantics and logics.
Using robots we try to show that image understanding is a simulation of action effects. Biorobotics: We use insect models for the visual control of mobile robots.
We are investigating efficient methods for geometry processing, in particular 3D-scanning, mesh optimization, and interactive deformation. We also work on the realtime visualization of virtual scenes.
We are investigating normal function and disease-related changes of cognition, communication and language from a linguistic and neuroscientific perspective. We use psycholinguistic methods and methods of cognitive neuroscience.
Our research centers around on cognitively inspired algorithms for intelligent data analysis such as adaptive classification or visualization of complex data structures.
We analyze how animals integrate perception with action during visual orientation, spatial learning and navigation and derive computational principles that allow artificial systems to act autonomously.
We examine the neurocognitive architecture of motor and action control. To this end, we investigate the building blocks and coordination of motion in the context of technical systems and high performance sport.
We investigate attentional processes in visual perception, memory and action control by means of psychophysics, cognitive and neuro-psychology methods as well as bycomputational modeling.
We strive for a deeper understanding of the required interplay of adaptive control, embodiment and knowledge to enable cognitive interaction for robots or intelligent interfaces.
Our research group aims to identify the principles of neural computation and implement them in fully parallel and low-power neuromorphic very-large-scale integration (VLSI) systems.
We investigate and model the shapes and functions of communicative speech signals both in the verbal and non verbal domain, across various situations, languages, emotions or speakers.
We develop computational approaches for the emergence and extraction of semantics in intelligent systems. This includes the extraction of knowledge and meaning from large data as well as easying access to knowledge in an intuitive fashion.
We explore how technical systems can turn into socially intelligent interaction partners. To this end, we study the behavioral, sensorimotor and cognitive mechanisms of human communication and develop methods to attain similar abilities in machines.
We study stochastic dynamics on various types of state spaces, trying to specify both their pathwise properties and probability distributions through, for example, stochastic partial differential equations.