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Šakėnas, V., Distortion invariant feature extraction with Echo State Networks, , no. 24: Jacobs University Bremen, October, 2010.
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Salmen, M., and P. G. Plöger, "Echo State Networks used for Motor Control", Proceedings of the 2005 IEEE International Conference on Robotics and Automation, pp. 1953–1958, 2005.
Schiller, U. D., and J. J. Steil, "Analyzing the weight dynamics of recurrent learning algorithms", Neurocomputing, vol. 63C, pp. 5-23, 2005.
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)
Schrauwen, B., M. D'Haene, D. Verstraeten, and J. Van Campenhout, "Compact hardware for real-time speech recognition using a Liquid State Machine", Proceedings of the International Joint Conference on Neural Networks (IJCNN), 2007.
Schrauwen, B., L. Buesing, and R. Legenstein, "On Computational Power and the Order-Chaos Phase Transition in Reservoir Computing", NIPS: Vancouver, 2008. Abstract
Schürmann, F., K. Meier, and J. Schemmel, "Edge of Chaos Computation in Mixed-Mode {VLSI} - ``{A} Hard Liquid''", Advances in Neural Information Processing Systems 17, Cambridge, MA, MIT Press, pp. 1201-1208, 2005.
Siewert, U., and W. Wustlich, Echo-State Networks with Band-Pass Neurons: Towards Generic Time-Scale-Independent Reservoir Structures, , Raben-Steinfeld, Germany, Planet intelligent systems GmbH, October, 2007.
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.
Skowronski, M. D., and J. G. Harris, "Noise-Robust Automatic Speech Recognition Using a Predictive Echo State Network", Audio, Speech and Language Processing, IEEE Transactions on [see also Speech and Audio Processing, IEEE Transactions on], vol. 15, no. 5, pp. 1724–1730, 2007.
Skowronski, M. D., and J. G. Harris, "Minimum mean squared error time series classification using an echo state network prediction model", IEEE International Symposium on Circuits and Systems, 2006.
Steil, J. J., "Online Reservoir Adaptation by Intrinsic Plasticity for Backpropagation-Decorrelation and Echo State Learning", Neural Networks, vol. 20, no. 3, pp. 353 - 364, 2007.
Steil, J. J., "Backpropagation-Decorrelation: online recurrent learning with O(N) complexity,", IJCNN, 2004.
Steimer, A., W. Maass, and R. Douglas, "Belief-propagation in networks of spiking neurons", Neural Computation, vol. 21, pp. 2502-2523, 2009. Abstract
Stouten, F., J. Duchateau, J-P. Martens, and P. Wambacq, Coping with disfluencies in Spontaneous Speech Recognition: acoustic detection and linguistic context manipulation, , 2006.
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)
Sussillo, D., and L. D. Abbott, "Generating Coherent Patterns of Activity from Chaotic Neural Networks", Neuron, vol. 63, pp. 544 - 557, 2009. Abstract