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Lukoševičius, M., and H. Jaeger, "Reservoir computing approaches to recurrent neural network training", Computer Science Review , vol. 3, no. 3, pp. 127-149, August, 2009.
Lukoševičius, M., "A practical guide to applying echo state networks", Neural Networks: Tricks of the Trade, 2, vol. 7700: Springer Berlin Heidelberg, pp. 659-686, 2012.  Download: PracticalESN.pdf (624.47 KB)
Lukoševičius, M., "Reservoir Computing and Self-Organized Neural Hierarchies", School of Engineering and Science, vol. PhD: Jacobs University Bremen, 2012. Abstract  Download: Mantas_Lukosevicius_PhD_thesis.pdf (3.13 MB)
Lukoševičius, M., Echo state networks with trained feedbacks, , no. 4: Jacobs University Bremen, February, 2007.
Lukoševičius, M., and V. Marozas, "Noninvasive Fetal QRS Detection using Echo State Network", Computing in Cardiology 2013, vol. 40, Zaragoza, Spain, pp. 205-208, 2013.  Download: FQRS_ESN.pdf (252.39 KB)
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)
Lukoševičius, M., "Self-organized reservoirs and their hierarchies", Proceedings of the 22nd International Conference on Artificial Neural Networks (ICANN 2012), vol. 7553, Lausanne, Switzerland, Springer, pp. 587-595, 2012.  Download: Self-organized_reservoir_hierarchies_ICANN12.pdf (315.2 KB)