Category Archives: Publication – Krause

Dürr, V., Ache, J. M., & Krause, A. F. (2009). Effects of active head movement on near-range tactile sensing and far-range vision. Proc.Göttingen.Neurobiol.Conf.

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Hellbach, S., Krause, A. F., & Dürr, V. (2010). Feel like an insect: a bio-inspired tactile sensor system. Proceedings of the International Conference on Neural Information Processing

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Krause, A. F., Bläsing, B., & Schack, T. (2010). Struktur- und Gewichtsoptimierung von Eco-State Netzwerke mit evolutionären Algorithmen. In K. Mattes & B. Wollesen (Eds.), Schriften der Deutschen Vereinigung für Sportwissenschaft: Vol. 204. Bewegung und Leistung – Sport, Gesundheit & Alter (p. 145). Hamburg: Czwalina Verlag.

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Krause, A. F., Dürr, V., Bläsing, B., & Schack, T. (2010). Multiobjective optimization of echo state networks for multiple motor pattern learning. In R. Tetzlaff, W. Schwarz, & K. Kelber (Eds.), 18th IEEE Workshop on Nonlinear Dynamics of Electronic Systems : NDES 2010. Dresden University of Technology, Dresden, Germany, 26 – 28 May 2010 ; proceedings (pp. 190-193).

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Krause, A. F., Dürr, V., Bläsing, B., & Schack, T. (2010). Evolutionary optimization of echo state networks: multiple motor pattern learning. Artificial neural networks and intelligent information processing : proceedings of the 6th International Workshop on Artificial Neural Networks and Intelligent Information Processing ; ANNIIP 2010 ; in conjunction with ICINCO 2010, Funchal, Madeira, Portugal, June 2010, 63-71.

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Krause, A. F., Essig, K., Essig-Shih, L. – Y., & Schack, T. (2011). Classifying the differences in gaze patterns of alphabetic and logographic L1 readers – A neural network approach. In L. Iliadis & C. Jayne (Eds.), Engineering Applications of Neural Networks, The 12th Engineering Applications of Neural Networks Conference (EANN2011) (pp. 78-84).

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Krause, A. F., Dürr, V., Schack, T., & Cruse, H. (2011). Input Compensation Learning: modelling dynamical systems. In Y. Ding, H. Wang, N. Xiong, K. Hao, & L. Wang (Eds.), The 7th International Conference on Natural Computation (ICNC11) – IEEE CFP11CNC-PRT (pp. 474-478). IEEE.

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Krause, A. F., & Dürr, V. (2012). Active tactile sampling by an insect in a step-climbing paradigm. Frontiers in Behavioral Neuroscience, 6(30), 1-17. doi:10.3389/fnbeh.2012.00030

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Patanè, L., Hellbach, S., Krause, A. F., Arena, P., & Dürr, V. (2012). An insect-inspired bionic sensor for tactile localization and material classification with state-dependent modulation. Frontiers in Neurorobotics, 6, 1-18. doi:10.3389/fnbot.2012.00008

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Krause, A. F., Essig, K., Piefke, M., & Schack, T. (2013). No-Prop-fast – A High-Speed Multilayer Neural Network Learning Algorithm: MNIST Benchmark and Eye-Tracking Data Classification. In L. Iliadis, H. Papadopoulos, & C. Jayne (Eds.), Engineering Applications of Neural Networks: 14th International Conference, EANN 2013, Halkidiki, Greece, September 13-16, 2013 Proceedings, Part I (pp. 446–455). Berlin, Heidelberg: Springer Berlin Heidelberg. doi:10.1007/978-3-642-41013-0_46

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