Looking for Participants

The MPI for Biological Cybernetics is looking for participants for some of their research experiments [more].
 

Most recent Publications

Ferstl Y, Bülthoff HH and de la Rosa S (September-2017) Action recognition is sensitive to the identity of the actor Cognition 166 201–206.
Kunz P, Flock T, Soler N, Zaiss M, Vincke C, Sterckx Y, Kastelic D, Muyldermans S and Hoheisel JE (September-2017) Exploiting sequence and stability information for directing nanobody stability engineering Biochimica et Biophysica Acta: General Subjects 1861(9) 2196–2205.
Bannert MM and Bartels A (September-2017) Invariance of surface color representations across illuminant changes in the human cortex NeuroImage 158 356-370.
Zoelch N, Hock A, Heinzer-Schweizer S, Avdievitch N and Henning A (August-2017) Accurate determination of brain metabolite concentrations using ERETIC as external reference NMR in Biomedicine 30(8) 1-16.
Pavlova MA, Erb M, Hagberg GE, Loureiro J, Sokolov AN and Scheffler K (July-2017) "Wrong Way Up": Temporal and Spatial Dynamics of the Networks for Body Motion Processing at 9.4 T Cerebral Cortex Epub ahead.

 

The Research Groups and their Research Focus

Computational Neuroanatomy

One key challenge in neuroscience is to elucidate mechanistic principles of how the brain integrates sensory information from its environment to generate behavior. At present, experimental methods to directly monitor sensory-evoked streams of excitation throughout the brain, at cellular and millisecond resolution are lacking. To overcome these limitations, the ‘Computational Neural Anatomy Group’ seeks to develop an alternative reverse engineering approach. The novel approach comprises reconstructing the detailed 3D structure of neural circuits, quantifying local and long-range synaptic connectivity and simulating sensory-evoked signal flow within the resultant anatomically realistic network models. Opens internal link in current window[more]

MR Spectroscopy and Ultra-High Field Methodology

Magnetic Resonance Spectroscopy (MRS) allows for non-invasive and non-ionizing determination of tissue concentrations and metabolic turn-over rates of various metabolites and compounds in animals or humans. MRS is hence applied for clinical diagnostics and has established as an important tool for physiological research. The focus of this research group is MRS methods development exploiting the advantages of ultra-high field strength and applications in the areas of psychiatric imaging and spinal cord pathologies.Opens internal link in current window[more]

MR Neuroimaging Agents

We develop responsive or smart contrast agents for tracking neuronal activity. These are bioactivated molecules able to detect changes in concentration of ions or molecules relevant for brain function and translate them into changes in MR contrast. These functional markers permit direct visualization of neural activation independent of the state of the vascular system. Opens internal link in current window[more]

Translational Neuroimaging and Neural Control

One research direction is to study the underlying mechanism of neurovascular coupling by identifying the signaling molecules propagating from neuron to glia, and to vessel. The other is to identify the “core switch” underlying the brain arousal and coma states by combining genetic tools with optical imaging and high field fMRI. The goal is to identify candidate molecules from critical brain nuclei, which can contribute to switch brain states. We are expected to translate the knowledge acquired from animal models to novel therapeutic treatment of coma patients. Opens internal link in current window[more]

Space and Body Perception

Our aim is to investigate human perception and behavior using ecologically valid and immersive virtual reality (VR). At the same time we consider the implications of our scientific results for improving design specifications for VR software and technology. VR equipment enables our scientists to provide sensory stimulus in a controlled virtual world and to manipulate or alter sensory input that would not be possible in the real world. Opens internal link in current window[more]

Neuronal Convergence

fMRI is widely used to study the operational organization of the brain. The exact relationship between the measured functional signal and the underlying neural activity, however, is yet unclear. Previous studies (Logothetis et al., 2001; Caesar et al., 2003) have already examined the relationship between large-scale electrical (in particular the local field potentials) and functional activity patterns. However, the large-scale neurochemical context, which is of utmost importance for drug design and development, has so far not been considered. Opens internal link in current window[more]
Last updated: Saturday, 17.06.2017