Ingo Fründ, Jeanette Schadow, Niko Busch, Ursula Körner, Christoph Herrmann,
"Evoked gamma oscillations in human scalp EEG are test-retest reliable",
Clinical Neurophysiology, vol. 118, no. 1, pp. 221–227, 2007.
Abstract
OBJECTIVE: Evoked, phase-locked gamma oscillations of the electroencephalogram (EEG) have been demonstrated to be modulated by both bottom-up as well as top-down factors. However, to date the test-retest reliability of these oscillations has not been studied systematically. METHODS: We recorded EEG activity of 12 healthy volunteers in response to stimuli of different sizes. Each participant took part in two sessions separated by two weeks in time...
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Hisashi Sugiura, Michael Gienger, Herbert Janßen, Christian Goerick,
"Real-Time Collision Avoidance with Whole Body Motion Control for Humanoid Robots",
IEEE-RSJ International Conference on Intelligent Robots and Systems (IROS 2007), 2007.
Abstract
We propose a self collision avoidance system that superposes trajectories in order not only to protect the robot's hardware but also to enable continuous motions. The system runs in real-time so that the robot can work in an uncertain environment. It is based on virtual forces between close segments of the robot. The avoidance movements are blended with a whole body motion control in order to change the priority between target reaching and collis...
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Andreas Knoblauch, Rüdiger Kupper, Marc-Oliver Gewaltig, Ursula Körner, Edgar Körner,
"A cell assembly based model for the cortical microcircuitry.",
Neurocomputing, vol. 70(10-12), pp. 1838–1842, 2007.
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Rüdiger Kupper, Marc-Oliver Gewaltig, Andreas Knoblauch, Ursula Körner, Edgar Körner,
"From neurons to cortex: a multi-level approach to understanding the brain",
Neurocomputing Research Trends, Nova Science Publishers, Inc., 2007.
Abstract
At the Honda Research Institute, we aim to understand the operating principles of the brain. We think that the cortex is composed of elementary building blocks, the columns, that apply one generic algorithm to varying sensory data. The brain is thus not a collection of highly specialized neural circuits, providing tailored solutions to individual problems, but it uses the same set of powerful processing strategies over and over again. Based on ne...
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Bram Bolder, Mark Dunn, Michael Gienger, Herbert Janßen, Hisashi Sugiura, Christian Goerick,
"Visually Guided Whole Body Interaction",
IEEE International Conference on Robotics and Automation (ICRA 2007), 2007.
Abstract
We describe a system for visual interaction developed for humanoid robots. It enables the robot to interact with its environment using a smooth whole body motion control driven by stabilized visual targets. Targets are defined as visually extracted "proto-objects" and behavior-relevant object hypotheses and are stabilized by means of a short-term sensory memory. Selection mechanisms are used to switch between behavior alternatives for searching o...
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Bernd Schneiders,
"Objektdetektion mit einem hierarchischen Modell der Verarbeitung im visuellen Kortex",
Univ. Applied Sciences Trier (Birkenfeld), 2007.
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Julian Eggert, Sven Rebhan, Edgar Körner,
"First steps towards an intentional vision system",
Proceedings of the 5th International Conference on Computer Vision Systems, ICVS, 2007.
Abstract
Contrary to many standard vision systems which proceed in a cascaded feedforward manner, imposing a fixed order in the sequence of visual operations like detection preceding segmentation and classification, we develop here the idea of a vision system that flexibly controls the order and accessibility of visual processes during operation. Vision is hereby understood as the dynamic process of adaptation of visual parameters and modules as a functio...
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Martin Heckmann, Frank Joublin, Christian Goerick,
"Combining Rate and Place Information for Robust Pitch Extraction",
Proc. INTERSPEECH 2007, pp. 2765-2768, 2007.
Abstract
In this paper we propose an algorithm for the robust extraction of pitch combining both temporal (rate) and pattern matching (place) techniques. Following a transformation into the spectral domain via the application of a Gammatone filter bank the rate information is extracted in each band via the zero crossing distances in that band. Next a comb filter with teeth at the harmonics of the current fundamental frequency hypothesis is set up, reflect...
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Xavier Domont, Martin Heckmann, Heiko Wersing, Frank Joublin, Stefan Menzel, Bernhard Sendhoff, Christian Goerick,
"Word Recognition with a Hierarchical Neural Network",
Advances in Nonlinear Speech Processing, pp. 142-151, 2007.
Abstract
In this paper we propose a feedforward neural network for syllable recognition. The core of the recognition system is based on a hierarchical architecture initially developed for visual object recognition. We show that, given the similarities between the primary auditory and visual cortexes, such a system can successfully be used for speech recognition. Syllables are used as basic units for the recognition. Their spectrograms, computed using a Ga...
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Nils Einecke, Julian Eggert, Sven Hellbach, Edgar Körner,
"Walking the manifold without falling off",
Proceedings of the 14th International Conference on Neual Information Processing (ICONIP), pp. 653-662, 2007.
Abstract
Having a good description of an object’s appearance is crucial for good object tracking. However, modeling the whole appearance of an object is difficult because of the high dimensional and nonlinear character of the appearance. To tackle the first problem we apply nonlinear dimensionality reduction approaches on multiple views of an object in order to extract the appearance manifold of the object and to embed it into a lower dimensional space....
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