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Gökhan Ince, "Noise Reduction During Ego-motion of the Head", Technische Universität Darmstadt, 2007.

Abstract

An active auditory perception system is very essential for robots to be able to interact with their environment. Tasks like sound localization and speech recognition have to be performed with high accuracy even when the head (or whole robot) is moving. However, the movement of the head inevitably generates noise due to its motors. This problem is very crucial, because the motors are located closer to the microphones than the sound sources. Consid...



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Yaochu Jin, Ruojing Wen, Bernhard Sendhoff, "Evolutionary multi-objective optimization of spiking neural networks", Artificial Neeural Networks-ICANN, 17. International Conference, 2007.



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Zdravko Bozakov, "Unsupervised Component Extraction for Design Optimization using Feature Analysis Methods", TU Darmstadt, 2007.

Abstract

Evolutionary algorithms offer an approach to alleviate some of the difficulties existing in traditional design optimization techniques. The choice of an appropriate design representation greatly influences the quality of achievable solutions. Representations which encode shapes using deformations applied to an initial design allow the number of optimization parameters to be decoupled from the complexity of the evaluated design. A novel technique ...



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Ingo Fründ, "Speed in early visual processing", Universität Magdeburg, 2007.

Abstract

The visual system of vertebrates rapidly provides a basis for execution of behavioral responses (Kirchner & Thorpe, 2006). At the same time it is up to amazingly detailed representations of the environment and even learning of these representations. Different investigators have proposed mechanisms how a network of neurons could achieve either the speed (see Thorpe et al., 2001) or the analytic capability (e.g. Freeman, 2003; König & Krüger, 200...



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Ingo Paenke, Bernhard Sendhoff, Tadeusz Kawecki, "Influence of plasticity and learning on evolution under directional selection", American Naturalist, vol. 170, no. 2, pp. 1–12, 2007.



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Florian Röhrbein, Julian Eggert, Edgar Körner, "A Cortex-Inspired Neural-Symbolic Network for Knowledge Representation", Proceedings of the IJCAI Workshop on Neural-Symbolic Learning and Reasoning, 2007.

Abstract

Semantic systems for the representation of declarative knowledge are usually unconnected to neurobiological mechanisms in the brain. In this paper we report on efforts to bridge this gap by proposing a neural-symbolic network based on processing principles of the cortical column. We show how a locally controlled activation spread on conceptual nodes leads to bottom-up and top-down processing streams which allow for feature inheritance, context ef...



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Marc-Oliver Gewaltig and Markus Diesmann, "NEST (Neural Simulation Tool)", Scholarpedia Encyclopedia of Computational Neuroscience, online, pp. 11204, 2007.

Abstract

The Neural Simulation Tool NEST is a computer program for simulating large heterogeneous networks of point neurons or neurons with a small number of compartments. NEST is best suited for models that focus on the dynamics, size, and structure of neural systems rather than on the detailed morphological and biophysical properties of individual neurons. Examples are: * Models of sensory processing e.g. in the visual or auditory cortex of mammals. * M...



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Ingo Fründ, Niko Busch, Ursula Körner, Jeanette Schadow, Christoph Herrmann, "EEG oscillations in the gamma and alpha range respond differently to spatial frequency", Vision Research, vol. 47, no. 15, pp. 2086-2098, 2007.

Abstract

Physical properties of visual stimuli affect electrophysiological markers of perception. One important stimulus property is spatial frequency (SF). Therefore, we studied the influence of SF on human alpha (8-13Hz) and gamma (>30Hz) electroencephalographic (EEG) responses in a choice reaction task. Since real world images contain multiple SFs, an SF mixture was also examined. Event related potentials were modulated by SF around 80 and 300ms. Evoke...



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Julian Eggert, Volker Willert, Jens Schmüdderich, "Biological Motion Estimation with Spatiotemporal Integration", HRI Global Workshop, 2007.

Abstract

We present a framework and study a model for biologically inspired motion estimation. It comprises several “areas” (corresponding roughly to V1-MT) which locally analyze motion input at different levels of granularity, coupled to functionally distinct areas which concentrate on the extraction of more global motion patterns (corresponding e.g. to MST). The areas are coupled reciprocally with each other, with “higher” areas providing prior ...



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Ingo Paenke, Jürgen Branke, Yaochu Jin, "On the influence of phenotype plasticity on genotype diversity", IEEE Symposium on Foundations of Computational Intelligence (FOCI), 2007.



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