Ingo Fründ, Niko Busch, Jeanette Schadow, Ursula Körner, Christoph Herrmann,
"From perception to action: phase-locked gamma oscillations correlate with reaction times in a speeded response task",
BMC Neuroscience, vol. 8, pp. 27: 1-11, 2007.
Abstract
BACKGROUND: Phase-locked gamma oscillations have so far mainly been described in relation to perceptual processes such as sensation, attention or memory matching. Due to its very short latency ( approximately 90 ms) such oscillations are a plausible candidate for very rapid integration of sensory and motor processes. RESULTS: We measured EEG in 13 healthy participants in a speeded reaction task. Participants had to press a button as fast as possi...
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Andreas Knoblauch, Rüdiger Kupper, Ursula Körner, Edgar Körner, Marc-Oliver Gewaltig,
"A model for structural plasticity in neocortical associative networks trained by the hippocampus.",
4th Computational and Systems Neuroscience Meeting (COSYNE), pp. 217, 2007.
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Hans-Georg Beyer and Bernhard Sendhoff,
"Robust optimization - A comprehensive survey",
Computer Methods in Applied Mechanics and Engineering, vol. 196, no. 33-34, pp. 3190–3218, 2007.
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Stephan Hasler, Heiko Wersing, Edgar Körner,
"Combining Reconstruction and Discrimination with Class-Specific Sparse Coding",
Neural Computation, vol. 19, no. 7, pp. 1897–1918, 2007.
Abstract
Sparse coding is an important approach for the unsupervised learning of sensory features. In this contribution we present two new methods which extend the traditional sparse coding approach with supervised components. Our goal is to increase the suitability of the learned features for classification tasks while keeping most of their general representation capability. We analyze the effect of the new methods using a visualization on artificial dat...
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Thomas Michalke, Alexander Gepperth, Martin Schneider, Jannik Fritsch, Christian Goerick,
"Towards a Human-like Vision System for Resource-Constrained Intelligent Cars",
Proceedings of the 5th International Conference on Computer Vision Systems (ICVS 2007), 2007.
Abstract
Research on computer vision systems for driver assistance resulted in a variety of approaches mainly performing reactive tasks like, e.g., lane keeping. However, for a full understanding of generic traffic situations, integrated and more flexible approaches are needed. We present a system inspired by the human visual system. Based on combining task-dependent tunable visual saliency, an object recognizer, and a tracker it provides warnings in dang...
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Claudius Gläser, Martin Heckmann, Frank Joublin, Christian Goerick, Horst-Michael Groß,
"Joint Estimation of Formant Trajectories via Spectro-Temporal Smoothing and Bayesian Techniques",
International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 477–480, 2007.
Abstract
We propose a method for the joint estimation of formant trajectories from spectrograms. Formants are enhanced in the spectrograms obtained from the application of a Gammatone filterbank via a smoothing along the frequency axis. In contrast to previously published approaches, the used tracking algorithm relies on the joint distribution of formants rather than using independent tracker instances. More precisely, Bayesian mixture filtering in conjun...
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Heiko Wersing, Stephan Kirstein, Michael Götting, Holger Brandl, Mark Dunn, Inna Mikhailova, Christian Goerick, Jochen Steil, Helge Ritter, Edgar Körner,
"Online Learning of Objects and Faces in an Integrated Biologically Motivated Architecture",
Proceedings of the 5th International Conference on Computer Vision Systems (ICVS), 2007.
Abstract
We present a biologically motivated integrated vision system that is capable of online learning of several objects and faces in a unified representation. The training is unconstrained in the sense that arbitrary objects can be freely presented in front of a stereo camera system and labeled by speech input. We combine biological principles such as appearance-based representation in topographical feature detection hierarchies and context-driven tra...
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Heiner Markert, Andreas Knoblauch, Günther Palm,
"Modelling of syntactical processing in the cortex",
BioSystems, vol. 89(1-3), pp. 300–315, 2007.
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Robert Cannon, Marc-Oliver Gewaltig, Padraig Gleeson, Upinder Bhalla, Hugo Cornelis, Michael Hines, Fredrick Howell, Eilif Muller, Joel Stiles, Stefan Wiles, Eric Schutter,
"Interoperability of Neuroscience Modeling Software: Current Status and Future Directions",
Neuroinformatics, vol. 5, pp. 127–138, 2007.
Abstract
Neuroscience increasingly uses computational models to assist in the exploration and interpretation of complex phenomena. As a result, considerable effort is invested in the development of software tools and technologies for numerical simulations and for the creation and publication of models. The diversity of related tools leads to the duplication of effort and hinders model reuse. Development practices and technologies that support interoperabi...
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Daniel Weiler, Volker Willert, Julian Eggert, Edgar Körner,
"A Probabilistic Method for Motion Pattern Segmentation",
Proceedings of the 2007 International Joint Conference on Neural Networks (IJCNN), 2007.
Abstract
In this paper we present an approach for probabilistic motion pattern segmentation. We combine level-set methods for image segmentation with motion estimations based on probability distribution functions (pdf’s) calculated at each image position. To this end, we extend a region based levelset framework to exploit the motion pdf’s. We then compare segmentation results of the pdf-based with those of opticalflow- based motion segmentation approa...
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