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Skowronski, M. D., and J. G. Harris, "Automatic speech recognition using a predictive echo state network classifier", Neural Networks, vol. 20, no. 3: Elsevier Science Ltd. Oxford, UK, UK, pp. 414–423, 2007.
Dominey, P. F., "An anatomically structured sensory-motor sequence learning system displays some general linguistic capacities.", Brain and Language, vol. 59, no. 1, pp. 50-75, 1997. Abstract  Download: dominey1997brainlang.pdf (198.49 KB)
Schiller, U. D., and J. J. Steil, "Analyzing the weight dynamics of recurrent learning algorithms", Neurocomputing, vol. 63C, pp. 5-23, 2005.
Ozturk, M. C., D. Xu, and J. C. Principe, "Analysis and Design of Echo State Networks", Neural Computation, vol. 19, pp. 111–138, 2006.
Dominey, P. F., J. Ventre-Dominey, E. Broussolle, and M. Jeannerod, "Analogical transfer is effective in a serial reaction time task in Parkinson's disease: evidence for a dissociable form of sequence learning", Neuropsychologia, vol. 35, no. 1, pp. 1-9, 1997. Abstract
Dominey, P. F., J. Ventre-Dominey, E. Broussolle, and M. Jeannerod, "Analogical transfer in sequence learning. Human and neural-network models of frontostriatal function", Annals of the New York Academy of Sciences, vol. 769, pp. 369-73 , 1995. Abstract
Strauß, T., "Alternative Konvergenzmaße für die Beschreibung des Verhaltens von Echo - State - Netzen", insitute for mathematics, vol. Diploma, Rostock, University of Rostock, pp. 68, 05/2009. Abstract  Download: Diplomarbeit T. Strauß.pdf (1.35 MB)
Jaeger, H., Adaptive nonlinear system identification with echo state networks, : MIT Press Cambridge, MA, pp. 593–600, 2003.
Jaeger, H., "Adaptive nonlinear system identification with echo state networks", In: Advances in Neural Information Processing Systems: MIT Press, Cambridge, MA, , pp. 593-600, 2003, 2002.