Martin Brenn,
"Dreidimensionale Topologieoptimierung mit Hilfe eines Zellwachstummodells",
Darmstadt University of Technology, 2008.
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Yaochu Jin and Bernhard Sendhoff,
"Evolving in silico Bistable and Oscillatory Dynamics for Gene Regulatory Network Motifs",
Congress on Evolutionary Computation, pp. pp.386-391, 2008.
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Behzad Dariush, Michael Gienger, Arjun Arumbakkam, Christian Goerick, Youding Zhu, Kikuo Fujimura,
"Online and markerless motion retargetting with kinematic constraints",
IEEE International Conference on Intelligent Robot and Systems, 2008.
Abstract
Transferring motion from a human demonstrator to a humanoid robot is an important step toward developing robots that are easily programmable and that can replicate or learn from observed human motion. The so called motion retargeting problem has been well studied and several offline solutions exist based on optimization approaches that rely on pre-recorded human motion data collected from a marker-based motion capture system. From the perspective...
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Martin Heracles, Alexander Gepperth, Jannik Fritsch, Christian Goerick,
"Integrating representations for learning higher-order correlations in a brain-inspired cognitive framework",
5th HRI Global Workshop, 2008.
Abstract
An important biological mechanism for learning in the human brain is Hebbian synaptic plasticity. However, Hebbian learning is restricted to direct synaptic connections between two neural populations, hence cannot directly account for learning that involves multiple neural populations. In order to overcome this limitation, we propose to combine Hebbian learning with self-organizing maps. More specifically, multiple lower-level representations are...
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Sven Rebhan, Florian Röhrbein, Julian Eggert, Edgar Körner,
"Attention Modulation Using Short- and Long-Term Knowledge",
6th International Conference on Computer Vision Systems, pp. 151–160, 2008.
Abstract
A fast and reliable visual search is crucial for representing visual scenes. The modulation of bottom-up attention plays an important role here. The knowledge about target features is often used to bias the bottom-up pathway. In this paper we propose a system which does not only make use of knowledge about the target features, but also uses already acquired knowledge about objects in the current scene to speed up the visual search. Main ingredien...
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Marta Fustes,
"Adapting CFD Accuracy in Evolutionary Design Optimisation",
Cranfield University - School of Applied Sciences, 2008.
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Qingfu Zhang, Aimin Zhou, Yaochu Jin,
"RM-MEDA: A regularity model-based multiobjective estimation of distribution algorithm",
IEEE Transactions on Evolutionary Computation, vol. 12, no. 1, pp. 41-63, 2008.
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Antonello Ceravola and Christian Goerick,
"Researching and developing a real-time infrastructure for intelligent systems – Evolution of an integrated approach",
Robotics and Autonomous Systems, vol. 56, no. 31, pp. 14–28, 2008.
Abstract
In this paper, we describe the principles and the methodologies that we have researched for the creation of a software infrastructure for
bridging the gap from brain-like systems design to standard software technology. Looking at the brain, we constantly take inspiration and choose
the relevant principles that our computer-base model should/could be based on. This ranges from the evolution of the brain (phylogenetically and
ontogenetically), t...
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Behzad Dariush, Michael Gienger, Bing Jian, Christian Goerick, Kikuo Fujimura,
"Whole Body Humanoid Control From Human Motion Descriptors",
Proceedings of the International Conference on Robotics and Automation (ICRA), pp. 2677-2684, 2008.
Abstract
Many advanced motion control strategies developed in robotics use captured human motion data as valuable source of examples to simplify the process of programming or learning complex robot motions. Direct and online control of robots from observed human motion has several inherent challenges. The most important may be the representation of the large number of mechanical degrees of freedom involved in the execution of movement tasks. Attempting to...
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Moritz Helias, Stefan Rotter, Marc-Oliver Gewaltig, Markus Diesmann,
"Structural plasticity controlled by calcium based correlation detection",
Front. Comput. Neurosci., vol. 2, no. 7, 2008.
Abstract
Hebbian learning in cortical networks during development and adulthood relies on the presence of a mechanism to detect correlation between the presynaptic and the postsynaptic spiking activity. Recently, the calcium concentration in spines was experimentally shown to be a correlation sensitive signal with the necessary properties: it is confined to the spine volume, it depends on the relative timing of pre- and postsynaptic action potentials, and...
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