Publications

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2007
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.
Maass, W., "Liquid Computing", Computability in Europe 2007 - CiE'07: Springer (Berlin), 2007. Abstract
Jaeger, H., M. Lukoševičius, D. Popovici, and U. Siewert, "Optimization and applications of echo state networks with leaky-integrator neurons", Neural Networks, vol. 20, no. 3, pp. 335-352, 2007.
Haeusler, S., and W. Maass, "A statistical analysis of information processing properties of lamina-specific cortical microcircuit models", Cerebral Cortex, vol. 17, no. 1, pp. 149-162, 2007. Abstract
Legenstein, R., and W. Maass, "What makes a dynamical system computationally powerful?", New Directions in Statistical Signal Processing: From System to Brains: MIT Press, pp. 127-154, 2007. Abstract
Buesing, L., and W. Maass, "Simplified rules and theoretical analysis for information bottleneck optimization and PCA with spiking neurons", NIPS 2007: Advances in Neural Information Processing Systems, vol. 20: MIT Press, 2008, 2007. Abstract
Lukoševičius, M., Echo state networks with trained feedbacks, , no. 4: Jacobs University Bremen, February, 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.
2008
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, 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 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.
wyffels, F., B. Schrauwen, and D. Stroobandt, "Stable output feedback in reservoir computing using ridge regression", International Conference on Artificial Neural Networks, 2008.
Jaeger, H., and D. Eck, "Can't Get You Out of My Head: A Connectionist Model of Cyclic Rehearsal. ", In: I. Wachsmuth, G. Knoblich (eds.): Modeling Communication for Robots and Virtual Humans. : Springer LNAI 4930, pp. 310-335 , 2008.
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)
Legenstein, R., D. Pecevski, and W. Maass, "A learning theory for reward-modulated spike-timing-dependent plasticity with application to biofeedback", PLoS Computational Biology, vol. 4, no. 10, pp. 1-27, 2008. Abstract
Schrauwen, B., L. Buesing, and R. Legenstein, "On Computational Power and the Order-Chaos Phase Transition in Reservoir Computing", NIPS: Vancouver, 2008. Abstract
Reinhart, F. R., and J. J. Steil, "Recurrent neural associative learning of forward and inverse kinematics for movement generation of the redundant PA-10 robot", LAB-RS, 2008. Abstract
Nessler, B., M. Pfeiffer, and W. Maass, "Hebbian learning of Bayes optimal decisions", NIPS 2008: Advances in Neural Information Processing Systems, vol. 21: MIT Press, 2009, 2008. Abstract
wyffels, F., B. Schrauwen, D. Verstraeten, and D. Stroobandt, "Band-pass reservoir computing", Proceedings of the International Joint Conference on Neural Networks, Hong Kong, pp. 3203-3208, 6, 2008.
2009
Steimer, A., W. Maass, and R. Douglas, "Belief-propagation in networks of spiking neurons", Neural Computation, vol. 21, pp. 2502-2523, 2009. Abstract
Jouen, A-L., J. Ventre-Dominey, W. Verwey, R. Neveu, V. J. Helden, C. Scheinber, and P. F. Dominey, "Cortical and basal ganglia function in temporal segmentation of sensory-motor sequences revealed by event related fMRI ", SFN, 2009, 2009. Abstract
Legenstein, R., S. M. Chase, A. B. Schwartz, and W. Maass, "Functional network reorganization in motor cortex can be explained by reward-modulated Hebbian learning", Advances in Neural Information Processing Systems (NIPS), Vancouver, Canada, 2009. Abstract
Sussillo, D., and L. D. Abbott, "Generating Coherent Patterns of Activity from Chaotic Neural Networks", Neuron, vol. 63, pp. 544 - 557, 2009. 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)
Lallée, S., F. Warneken, and P. F. Dominey, "Learning to Collaborate by Observation", International Conference on Epigenetic Robotics, 2009. Abstract  Download: LWDepirob092pages.pdf (129.25 KB)