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Anna-Lisa Vollmer, Kathrin Lohan, Kerstin Fischer, Yukie Nagai, Karola Pitsch, Jannik Fritsch, Katharina Rohlfing, Britta Wrede, "People Modify Their Tutoring Behavior in Robot-Directed Interaction for Action Learning", International Conference on Development and Learning, 2009.
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Thomas H Weisswange, Constantin Rothkopf, Tobias Rodemann, Jochen Triesch, "A Reinforcement learning model develops causal inference and cue integration abilities", Proceedings of the 2009 Bernstein Conference on Computational Neuroscience, Frankfurt, 2009.
AbstractIn recent years it has been suggested that the performance of human subjects in a large variety of perceptual tasks can be modelled using Bayesian inference (e.g. [1]). The success of these methods stems from their capacity to explicitly represent the involved uncertainties. Recently, such methods have been extended to the task of model selection where the observer not only has to integrate different cues into a single estimate, but needs to firs...
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Inna Mikhailova, "Internal control for autonomous open-ended acquisition of new behaviors", Technische Fakultaet der Universitaet Bielefeld, 2009.
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Andreas Knoblauch, Marc-Oliver Gewaltig, Ursula Körner, Edgar Körner, "Structural plasticity and memory: Catastrophic forgetting, amnesia, and the spacing effect.", Frontiers in Systems Neuroscience. Conference Abstract: Computational and systems neuroscience, 2009.
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Yaochu Jin, Robin Gruna, Ingo Paenke, Bernhard Sendhoff, "Evolutionary multi-objective optimization of robustness and innovation in redundant genetic representations", 2009 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making (IEEE MCDM 2009), pp. 38–45, 2009.
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Lars Gräning, "Knowledge Extraction from Aerodynamic Design Data and its Application to 3D Turbine Blade Geometries", International Workshop on Machine Learning for Aerospace, 2009.
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Niko Wilbert, Robert Legenstein, Mathias Franzius, Laurenz Wiskott, "Reinforcement learning on complex visual stimuli", BMC Neuroscience, vol. 10, no. Suppl 1, pp. P90, 2009.
AbstractAnimals are confronted with the problem of initiating motor actions based on very complex sensor y input. We have build a biologically plausible model that uses reinforcement learning on complex visual stimuli to direct an agent towards a target. This is made possible by first extracting a high-level representation of the scene with a hierarchical network and then applying a correlation based reinforcement learning rule....
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Ben Jones, "The Evolutionary Emergence of Neural Organisation in Computational Models of Primitive Organisms", University of Birmingham, 2009.
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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.
AbstractExperimental 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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