Publications

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A
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., 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, 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), Submitted.
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, "Modeling Multiple Autonomous Robot Behaviors and Behavior Switching with a Single Reservoir Computing Network", IEEE International Conference on Man, Systems and Cybernetics, 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.
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Maass, W., and H. Markram, "Temporal integration in recurrent microcircuits", The Handbook of Brain Theory and Neural Networks, 2nd Edition: MIT Press, pp. 1159-1163, 2003.
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Atiya, A. F., and A. G. Parlos, "New Results on Recurrent Network Training: unifying the Algorithms and Accelerating Convergence", IEEE Transactions on Neural Networks, vol. 11, no. 3, pp. 697–709, 2000.
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Jaeger, H., Advances in Neural Information Processing Systems 15, : MIT Press Cambridge, MA, pp. 593–600, 2003.
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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.
Buehner, M., and P. Young, "A Tighter Bound for the Echo State Property", Neural Networks, IEEE Transactions on, vol. 17, no. 3, pp. 820-824, 2006.
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Maass, W., R. Legenstein, and H. Markram, "A new approach towards vision suggested by biologically realistic neural microcircuit models", Biologically Motivated Computer Vision BMCV 2002, vol. 2525: Springer, pp. 282-293, 2002. Abstract
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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
Buonomano, D., and W. Maass, "State-dependent computations: Spatiotemporal processing in cortical networks", Nature Reviews Neuroscience, vol. 10, no. 2, pp. 113-125, 2009. Abstract
Bush, K. A., and C. W. Anderson, "Exploiting Iso-error Pathways in the N, k-plane to Improve Echo State Network Performance", Proceedings of the 2006 Conference of Neural Informations Processing Systems (submitted), 2006.
Bush, K., and C. Anderson, "Modeling Reward Functions for Incomplete State Representations via Echo State Networks", Proceedings of the International Joint Conference on Neural Networks, Montreal, Quebec, 2005.
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Maass, W., "Motivation, theory, and applications of liquid state machines", Computability in Context: Computation and Logic in the Real World: Imperial College Press, In Press. Abstract
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Defour, J., Spraakherkenning met reservoir computing, : Universiteit Gent, 2006.
Dominey, P. F., M. Hoen, J-M. Blanc, and T. Lelekov-Boissard, "Neurological basis of language and sequential cognition: evidence from simulation, aphasia, and ERP studies", Brain and Language, vol. 86, no. 2, pp. 207-225, 08/2003.  Download: DomineyHoenBlancLelekov-Boissard2003a.pdf (349.13 KB)
Dominey, P. F., and M. Jeannerod, "Contribution of frontostriatal function to sequence learning in Parkinson's disease: evidence for dissociable systems", NeuroReport, vol. 8, no. 5, pp. iii-ix, 03/1997. Abstract  Download: dominey 97 neuroreport.pdf (214.39 KB)
Dominey, P. F., "Influences of temporal organization on sequence learning and transfer: Comments on Stadler (1995) and Curran and Keele (1993)", Journal of Experimental Psychology: Learning, Memory, and Cognition, vol. 24, no. 1, pp. 234-248, 01/1998. Abstract
Dominey, P. F., "Emergence of grammatical constructions: Evidence from simulation and grounded agent experiments", Connection Science, vol. 17, no. 3-4: Taylor & Francis, pp. 289–306, 2005.  Download: Dominey2005b.pdf (1.3 MB)
Dominey, P. F., and J-M. Blanc, "Identification of prosodic attitudes by a temporal recurrent network", Cognitive Brain Research, vol. 17, no. 3, pp. 693-699, 10/2003.  Download: blanc2003cogbrres.pdf (387.5 KB)