Sven Schrader, Marc-Oliver Gewaltig, Ursula Körner, Edgar Körner,
"Cortext: A columnar model of bottom-up and top-down processing in the neocortex",
Neural Networks, vol. 22, no. 8, pp. 1055–1070, 2009.
Abstract
Experimental data suggests that a first hypothesis about the content of a complex visual scene is available as early as 150 ms after stimulus presentation. Other evidence suggests that recognition in the visual cortex of mammals is a bidirectional, often top-down driven process. Here, we present a spiking neural network model that demonstrates how the cortex can use both strategies: Faced with a new stimulus, the cortex first tries to catch the g...
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Lisa Schramm, Yaochu Jin, Bernhard Sendhoff,
"Emerged Coupling of Motor Control and Morphological Development in Evolution of Multi-Cellular Animats",
10th European Conference on Artificial Life, 2009.
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Ingo Paenke, Yaochu Jin, Jürgen Branke,
"Balancing population and individual level adaptation in changing environments",
Adaptive Behavior, vol. 17, no. 2, pp. 153–174, 2009.
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Kenji Hosada, Masataka Watanabe, Heiko Wersing, Edgar Körner, Hiroshi Tsujino, Hiroshi Tamura, Ichiro Fujita,
"A model for learning topographically organized parts-based representations of objects in visual cortex: topographic non-negative matrix factorization",
Neural Computation, vol. 21, no. 9, pp. 2605-2633, 2009.
Abstract
Object representation in the inferior temporal cortex (IT), an area of visual cortex critical for object recognition in the primate, exhibits two prominent properties; (1) objects are represented by the combined activity of columnar clusters of neurons, each cluster represents component features or parts of objects, and (2) closely related features are continuously represented along the tangential direction of individual columnar clusters. Here w...
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Chen Zhang, Julian Eggert, Nils Einecke,
"Robust Tracking by Means of Template Adaptation with Drift Correction",
Proceedings of the 7th International Conference on Computer Vision Systems (ICVS), 2009.
Abstract
Algorithms for correlation-based visual tracking rely to a great extent on a robust measurement of an object’s location, gained by comparing a template with the visual input. Robustness against object appearance transformations requires template adaptation - a technique that is subject to drift problems due to error integration. Most solutions to this “drift-problem” fall back on a dominant template that remains unmodified, preventing a tru...
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Tobias Rodemann, Frank Joublin, Christian Goerick,
"Filtering environmental sounds using basic audio cues in robot audition",
Proceedings of International Conference on Advanced Robotics (ICAR) 2009, 2009.
Abstract
In this article we present an approach for separating robot-directed speech from environmental sounds for applications in robot audition under high noise conditions. We introduce a new framework for audio processing that combines feature extraction and a grouping process to form what we call audio proto objects. These proto objects combine an arbitrary number of audio features in a compact representation that allows a filtering of environmental s...
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Sven Hellbach, Julian Eggert, Edgar Körner, Horst-Michael Groß,
"Experimental evaluation of approaches for long-term prediction of human movement trajectories",
Australian Journal of Intelligent Information Processing Systems, 2009.
Abstract
This paper’s intention is to adapt prediction algorithms well known in the field of time series analysis to problems being faced in the field of mobile robotics and Human-Robot-Interaction (HRI). The idea is to predict movement data by understanding it as time series. The prediction takes place with a black box model, which means that no further knowledge on motion dynamics is used then the past of the trajectory itself. This means, the suggest...
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Lars Gräning, Markus Olhofer, Bernhard Sendhoff,
"Interaction Detection in Aerodynamic Design Data",
Proceedings of the [10th] International Conference on Intelligent Data Egineering and Automated Learning (IDEAL), 2009.
Abstract
In large and complex aerodynamic systems the overall performance of a design is mainly defined by interactions between design areas rather than by single design regions. Therefore it is necessary to identify these interactions in order to be able to understand and improve the designs. However, detecting and modeling those interactive effects between distant design areas is a very challenging task which usually requires a detailed understanding of...
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Katrin Lohan, Anna-Lisa Vollmer, Jannik Fritsch, Katharina Rohlfing, Britta Wrede,
"Which ostensive stimuli can be used for a robot to detect and maintain tutoring situations?",
Int. Workshop on Social Signals Processing, 2009.
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Yongkie Wiyogo,
"Processing of sensory stimuli with recurrent neural networks",
TU Darmstadt, 2009.
Abstract
Recurrent neural networks, one of many neural network concepts, are used in our work to process sensory stimuli received by an intelligent car. The hypothesis underlying this thesis is that the intrinsic properties of recurrent neural networks can be exploited in order to achieve a robust and error-free environment perception. By using dynamic neural fields, a subclass of recurrent neural networks, we can perform information processing of the aut...
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