Publications

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A
Antonelo, E A., B. Schrauwen, and D. Stroobandt, "Mobile Robot Control in the Road Sign Problem using Reservoir Computing Networks", IEEE Int. Conf. on Robotics and Automation (ICRA), 2008.
Antonelo, E A., B. Schrauwen, and J V. Campenhout, "Generative Modeling of Autonomous Robots and their Environments using Reservoir Computing", Neural Processing Letters, vol. 26, no. 3, pp. 233–249, 2007.
Antonelo, E A., B. Schrauwen, and D. Stroobandt, "Experiments with Reservoir Computing on the road sign problem", VIII Brazilian Congress on Neural Networks (CBRN), 2007.
Antonelo, E A., B. Schrauwen, and D. Stroobandt, "Imitation Learning of an Intelligent Navigation System for Mobile Robots using Reservoir Computing", 10th Brazilian Symposium on Neural Networks (SBRN), 2008.
Antonelo, E A., B. Schrauwen, X. Dutoit, D. Stroobandt, and M. Nuttin, "Event detection and localization in mobile robot navigation using reservoir computing", ICANN, Part II: Springer-Verlag, pp. 660-669, 2007.
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)
Antonelo, E A., B. Schrauwen, and D. Stroobandt, "Event detection and localization for small mobile robots using reservoir computing", Neural Networks, vol. 21, pp. 862–871, 2008. Abstract  Download: robotlocalization_antonelo_nn2008_0.pdf (2.68 MB)
Antonelo, E A., B. Schrauwen, and D. Stroobandt, "Unsupervised Learning in Reservoir Computing: Modeling Hippocampal Place Cells for Small Mobile Robots", International Conference on Artificial Neural Networks (ICANN), 2009.
Antonelo, E A., B. Schrauwen, and D. Stroobandt, "Modeling Multiple Autonomous Robot Behaviors and Behavior Switching with a Single Reservoir Computing Network", IEEE International Conference on Man, Systems and Cybernetics, 2008.
B
Basterrech, S., C. Fyfe, and G. Rubino, "Self-Organizing Maps and Scale-Invariant Maps in Echo State Networks", Intelligent Systems Design and Applications (ISDA), 2011 11th International Conference on, pp. 94 -99, nov., 2011.
Bertschinger, N., and T. Natschläger, "Real-time computation at the edge of chaos in recurrent neural networks", Neural Computation, vol. 16, no. 7, Cambridge, MA, USA, MIT Press, pp. 1413–1436, 2004.
D
Defour, J., Spraakherkenning met reservoir computing, : Universiteit Gent, 2006.
F
Fernando, C., and S. Sojakka, "Pattern recognition in a bucket", Proceedings of the 7th European Conference on Artificial Life, pp. 588–597, 2003.
Frank, S. L., "Learn more by training less: systematicity in sentence processing by recurrent networks", Connection Science, vol. 18, no. 3: Taylor & Francis, pp. 287–302, 2006. Abstract
H
Hinaut, X., and P. F. Dominey, "A three-layered model of primate prefrontal cortex encodes identity and abstract categorical structure of behavioral sequences", Journal of Phisiology - Paris, vol. 105, no. 1-3, pp. 16-24, 2011. Abstract
Hinaut, X., and P. F. Dominey, "A Three-Layered Cortical Network Encodes Identity and Abstract Categorical Structure of Behavioral Sequences as in the Primate Lateral Prefrontal Cortex", NeuroComp, Lyon, 10/2010. Abstract  Download: NEUROCOMP2010_0041_6e30c.pdf (219.24 KB)
L
Liebald, B., Exploration of effects of different network topologies on the ESN signal crosscorrelation matrix spectrum, : School of Engineering & Science at International University Bremen, 2004.
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Prokhorov, D., "Echo state networks: Appeal and challenges", Proc. of International Joint Conference on Neural Networks, pp. 1463–1466, 2005.
R
Rao, Y., S. - P. Kim, J. Sanchez, D. Erdogmus, J. Principe, J. Carmena, M. Lebedev, and M. Nicolelis, "Learning Mappings in Brain Machine Interfaces with Echo State Networks", Proceedings of the 2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, pp. 233–236, 2005. Abstract
S
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.
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.
T
Tong, M. H., A. D. Bickett, E. M. Christiansen, and G. W. Cottrell, "2007 Special Issue: Learning grammatical structure with Echo State Networks", Neural Networks, vol. 20, no. 3, Oxford, UK, UK, Elsevier Science Ltd., pp. 424–432, 2007.
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Verstraeten, D., B. Schrauwen, and J V. Campenhout, "Recognition of Isolated Digits using a Liquid State Machine", Proceedings of SPS-DARTS 2005, pp. 135–138, April, 2005.