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In Press
Lukoševičius, M., H. Jaeger, and B. Schrauwen, "Reservoir Computing Trends", KI - Künstliche Intelligenz, pp. 1-7, 05/2012. Abstract  Download: KI_reservoir_computing.pdf (574.71 KB)
Antonelo, E. A., "Reservoir Computing Architectures for Modeling Robot Navigation Systems", Department of Electronic and Information Systems , vol. PhD, Gent, Universiteit Gent, 2011. Abstract  Download: PhD_Eric_final.pdf (21.33 MB)
Schrauwen, B., and L. Buesing, "A hierarchy of recurrent networks for speech recognition", NIPS, Proceedings, Whistler, BC, Canada, pp. 8, 2009.  Download: bschrauw_nips_2009.pdf (103.7 KB)
Waegeman, T., E. Antonelo, F. wyffels, and B. Schrauwen, "Modular reservoir computing networks for imitation learning of multiple robot behaviors", Proc. of the IEEE Int. Symp. on Computational Intelligence in Robotics and Automation (CIRA), 2009.  Download: p27.pdf (2.34 MB)
Verstraeten, D., "Reservoir Computing: computation with dynamical systems", Electronics and Information Systems, Gent, Ghent University, pp. 190, 2009.  Download: dvrstrae_organic.pdf (7.23 MB)
Antonelo, E. A., and B. Schrauwen, "Towards Autonomous Self-localization of Small Mobile Robots using Reservoir Computing and Slow Feature Analysis", Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics (SMC), pp. 3818–3823, 2009.  Download: eric_smc2009.pdf (2.76 MB)
wyffels, F., B. Schrauwen, D. Verstraeten, and D. Stroobandt, "Band-pass reservoir computing", Proceedings of the International Joint Conference on Neural Networks, Hong Kong, pp. 3203-3208, 6, 2008.