Publications

Export 17 results:
Sort by: [ Author (Desc)] Title Type Year
Filters: First Letter Of Last Name is S  [Clear All Filters]
A B C D E F G H I J K L M N O P Q R [S] T U V W X Y Z   [Show ALL]
S
Sussillo, D., and L. D. Abbott, "Generating Coherent Patterns of Activity from Chaotic Neural Networks", Neuron, vol. 63, pp. 544 - 557, 2009. 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)
Stouten, F., J. Duchateau, J-P. Martens, and P. Wambacq, Coping with disfluencies in Spontaneous Speech Recognition: acoustic detection and linguistic context manipulation, , 2006.
Steimer, A., W. Maass, and R. Douglas, "Belief-propagation in networks of spiking neurons", Neural Computation, vol. 21, pp. 2502-2523, 2009. Abstract
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.
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.
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.
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.
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.
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
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)
Schiller, U. D., and J. J. Steil, "Analyzing the weight dynamics of recurrent learning algorithms", Neurocomputing, vol. 63C, pp. 5-23, 2005.
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.
Š
Šakėnas, V., Distortion invariant feature extraction with Echo State Networks, , no. 24: Jacobs University Bremen, October, 2010.