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Tubingen, Germany

The Max Planck Institute for Biological Cybernetics is located in Tübingen, Baden-Württemberg, Germany. It is one of 80 institutes in the Max Planck Society .The institute is studying signal and information processing in the brain. We know that our brain is constantly processing a vast amount of sensory and intrinsic information by which our behavior is coordinated accordingly. How the brain actually achieves these tasks is less well understood, for example, how it perceives, recognizes, and learns new objects. The scientists at the Max Planck Institute for Biological Cybernetics aim to determine which signals and processes are responsible for creating a coherent percept of our environment and for eliciting the appropriate behavior. Scientists of three departments and seven research groups are working towards answering fundamental questions about processing in the brain, using different approaches and methods. Wikipedia.

Angelovski G.,Max Planck Institute for Biological Cybernetics
Angewandte Chemie - International Edition | Year: 2016

Bioresponsive MRI contrast agents hold great promise for monitoring major physiological and pathological processes in a non-invasive manner. They are capable of altering the acquired MRI signal as a consequence of changes in their microenvironment, thus allowing real-time functional reporting in living organisms. Importantly, chemistry offers diverse solutions for the design of agents which respond to a great number of specific targets. However, the path to the successful utilization of these biomarkers in the desired functional MRI studies involves careful consideration of multiple scientific, technical, and practical issues across various research disciplines. This Minireview highlights the critical steps for planning and executing such multidisciplinary projects with an aim to substantially improve our knowledge of essential biological processes. © 2016 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim Source

Pohmann R.,Max Planck Institute for Biological Cybernetics
Magnetic Resonance in Medicine | Year: 2010

Quantification of perfusion in white matter is still difficult due to its low level, causing an often insufficiently low signal-to-noise ratio, and its long and inhomogeneous transit delays. Here, a technique is presented that accurately measures white matter perfusion by combining a spectroscopic single-voxel localization technique (point-resolved spectroscopy) with a pulsed arterial spin labeling encoding scheme (flow-sensitive alternating inversion recovery) to specifically address the properties of white matter. The transit delay was measured by shifting the position of a slice-selective saturation pulse between inversion and acquisition. Perfusion measurements resulted in values of 15.6 ± 3.2 mL/100 g/min in the left and 15.2 ± 4.8 mL/100 g/min in the right hemispheric white matter and 83.2 ± 15.2 mL/100 g/min in cortical gray matter. Taking dispersion of the transit times into account does not cause a significant change in the measured values. © 2010 Wiley-Liss, Inc. Source

Mooij J.M.,Max Planck Institute for Biological Cybernetics
Journal of Machine Learning Research | Year: 2010

This paper describes the software package libDAI, a free & open source C++ library that provides implementations of various exact and approximate inference methods for graphical models with discrete-valued variables. libDAI supports directed graphical models (Bayesian networks) as well as undirected ones (Markov random fields and factor graphs). It offers various approximations of the partition sum, marginal probability distributions and maximum probability states. Parameter learning is also supported. A feature comparison with other open source software packages for approximate inference is given. libDAI is licensed under the GPL v2+ license and is available at http://www.libdai.org. © 2010. Source

Dopjans L.,Max Planck Institute for Biological Cybernetics
Journal of vision | Year: 2012

Even though we can recognize faces by touch surprisingly well, haptic face recognition performance is still worse than for visual exploration. One possibility for this performance difference might be due to different encoding strategies in the two modalities, namely, holistic encoding in vision versus serial encoding in haptics. Here, we tested this hypothesis by promoting serial encoding in vision, using a novel, gaze-restricted display that limited the effective field of view in vision to resemble that of haptic exploration. First, we compared haptic with gaze-restricted and unrestricted visual face recognition. Second, we used the face inversion paradigm to assess how encoding differences might affect processing strategies (featural vs. holistic). By promoting serial encoding in vision, we found equal face recognition performance in vision and haptics with a clear switch from holistic to featural processing, suggesting that performance differences in visual and haptic face recognition are due to modality-specific encoding strategies. Source

Hong S.T.,Max Planck Institute for Biological Cybernetics
Magnetic resonance in medicine : official journal of the Society of Magnetic Resonance in Medicine / Society of Magnetic Resonance in Medicine | Year: 2011

Single voxel magnetic resonance spectroscopy with ultrashort echo time was implemented at 16.4 T to enhance the neurochemical profile of the rat brain in vivo. A TE of 1.7 msec was achieved by sequence optimization and by using short-duration asymmetric pulses. Macromolecular signal components were parameterized individually and included in the quantitative analysis, replacing the use of a metabolite-nulled spectrum. Because of the high spectral dispersion, several signals close to the water line could be detected, and adjacent peaks could be resolved. All 20 metabolites detected in this study were quantified with Cramér-Rao lower bounds below 20%, implying reliable quantification accuracy. The signal of acetate was detected for the first time in rat brain in vivo with Cramér-Rao lower bounds of 16% and a concentration of 0.52 μmol/g. The absolute concentrations of most metabolites showed close agreement with values previously measured using in vivo (1)H NMR spectroscopy and in vitro biochemical assay. © 2010 Wiley-Liss, Inc. Source

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