Publications

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Kaske, A., and W. Maass, "A model for the interaction of oscillations and pattern generation with real-time computing in generic neural microcircuit models", Neural Networks, vol. 19, no. 5, pp. 600-609, 2006. Abstract
Khamassi, M., S. Lallée, P. Enel, E. Procyk, and P. F. Dominey, "Robot Cognitive Control with a Neurophysiologically Inspired Reinforcement Learning Model", Frontiers in NeuroRobotics, 2011.  Download: FrontiersNeuroboticsPaper_v11_MK.pdf (1.89 MB)
Klampfl, S., R. Legenstein, and W. Maass, "Information bottleneck optimization and independent component extraction with spiking neurons", NIPS 2006: Advances in Neural Information Processing Systems, vol. 19: MIT Press, pp. 713-720, 2007, 2006. Abstract
Klampfl, S., and W. Maass, "Replacing supervised classification learning by Slow Feature Analysis in spiking neural networks", NIPS 2009: Advances in Neural Information Processing Systems, vol. 22: MIT Press, 2010, 2009. Abstract
Klampfl, S., and W. Maass, "A theoretical basis for emergent pattern discrimination in neural systems through slow feature extraction", Neural Computation, In Press. Abstract
Klampfl, S., R. Legenstein, and W. Maass, "Spiking neurons can learn to solve information bottleneck problems and to extract independent components", Neural Computation, vol. 21, no. 4, pp. 911-959, 2009. Abstract
Kücükemre, A. U., Echo State Networks for Adaptive Filtering, : University of Applied Sciences Bonn-Rhein-Sieg, 2006. Abstract  Download: Kucukemre.pdf (1.11 MB)
Kulkarni, M., and C. Teuscher, "Memristor-based Reservoir Computing", Proceedings of the IEEE/ACM International Symposium on Nanoscale Architectures (NANOARCH'12), pp. 226–232, 2012.