Publications

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Submitted
Verstraeten, D., B. Schrauwen, S. Dieleman, P. Brakel, P. Buteneers, and D. Pecevski, "Oger: Modular Learning Architectures For Large-Scale Sequential Processing", Journal of Machine Learning Research, Submitted.  Download: Verstraeten11.pdf (186.23 KB)
Vreeken, J., On real-world temporal pattern recognition using Liquid State Machines, : Institute for Information and Computing Sciences, Utrecht University, Submitted.
In Press
Buesing, L., B. Schrauwen, and R. Legenstein, "Connectivity, Dynamics and Memory in Reservoir Computing with Binary and Analog Neurons", Neural Computation, In Press. Abstract
Antonelo, E A., and B. Schrauwen, "Learning Slow Features with Reservoir Computing for Biologically-inspired Robot Localization", Neural Networks, In Press. Abstract  Download: eric_nn2011.pdf (2.77 MB)
Pfeiffer, M., B. Nessler, R. Douglas, and W. Maass, "Reward-modulated Hebbian Learning of Decision Making", Neural Computation, In Press. Abstract
Klampfl, S., and W. Maass, "A theoretical basis for emergent pattern discrimination in neural systems through slow feature extraction", Neural Computation, In Press. Abstract
2013
Hinaut, X., and P. F. Dominey, "Real-Time Parallel Processing of Grammatical Structure in the Fronto-Striatal System: A Recurrent Network Simulation Study Using Reservoir Computing", PLoS ONE, vol. 8, no. 2, pp. e52946, 02/2013. Abstract
Massar, M., and S. Massar, "Mean-field theory of echo state networks", PHYSICAL REVIEW E, vol. 87, 2013.  Download: 2013MassarMassarPhysRevE87_042809.pdf (490.19 KB)
2012
Hinaut, X., and P. F. Dominey, "On-Line Processing of Grammatical Structure Using Reservoir Computing", ICANN: International Conference on Artificial Neural Networks, pp. 596-603, 09/2012. Abstract
Dambre, J., D. Verstraeten, B. Schrauwen, and S. Massar, "Information Processing Capacity of Dynamical Systems", Scientific Reports, vol. 2, no. 514, pp. 1 -- 7, 07/2012. Abstract  Download: srep00514.pdf (365.56 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)
Kulkarni, M., and C. Teuscher, "Memristor-based Reservoir Computing", Proceedings of the IEEE/ACM International Symposium on Nanoscale Architectures (NANOARCH'12), pp. 226–232, 2012.
Hinaut, X., M. Petit, and P. F. Dominey, "Online Language Learning to Perform and Describe Actions for Human-Robot Interaction", Proceedings of the Post-Graduate Conference on Robotics and Development of Cognition, 2012. Abstract
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., "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)
2011
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.
Bernacchia, A., H. Seo, D. Lee, and X-J. Wang, "A reservoir of time constants for memory traces in cortical neurons", Nature Neuroscience, vol. 14, no. 3, pp. 366-372, 02/2011.
Jouen, A-L., T. M. Ellmore, C. Madden, C. Pallier, P. F. Dominey, and J. Ventre-Dominey, "A common “meaning” system for language and visual images revealed by fMRI and DTI", Society for Neuroscience, 2011. Abstract
Jalalvand, A., F. Triefenbach, D. Verstraeten, and J-P. Martens, "Connected digit recognition by means of reservoir computing", Interspeech, 2011.  Download: interspeech2011_digits.pdf (393.97 KB)
Li, J., and H. Jaeger, "Minimal Energy Control of an ESN Pattern Generator", Jacobs University Technical Report, no. 26: Jacobs University Bremen, 2011. Abstract
Maass, W., "Motivation, theory, and applications of liquid state machines", Computability in Context: Computation and Logic in the Real World: Imperial College Press, 2011. Abstract
Pascanu, R., and H. Jaeger, "A Neurodynamical Model for Working Memory", Neural Networks, vol. 24, no. 2, pp. 199 - 207, 2011. Abstract
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)
Khamassi, M., S. Lallée, P. Enel, E. Procyk, and P. F. Dominey, "Robot Cognitive Control with a Neurophysiologically Inspired Reinforcement Learning Model", Frontiers in NeuroRobotics, 2011.  Download: FrontiersNeuroboticsPaper_v11_MK.pdf (1.89 MB)