Publications

Export 137 results:
Sort by: [ Author (Asc)] Title Type Year
A
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.
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., 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)
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.
B
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.
Buesing, L., and W. Maass, "A spiking neuron as information bottleneck", Neural Computation, vol. 22, 2010. 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
Buesing, L., B. Schrauwen, and R. Legenstein, "Connectivity, Dynamics and Memory in Reservoir Computing with Binary and Analog Neurons", Neural Computation, In Press. 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.
D
Defour, J., Spraakherkenning met reservoir computing, : Universiteit Gent, 2006.
Dominey, P. F., "From sensorimotor sequence to grammatical construction: Evidence from simulation and neurophysiology", Adaptive Behavior, vol. 13, no. 4: ISAB, pp. 347-361, 2005.  Download: Dominey2005a.pdf (424.89 KB)
Dominey, P. F., M. Hoen, and T. Inui, "A Neurolinguistic Model of Grammatical Construction Processing", Journal of Cognitive Neuroscience, vol. 18, no. 12, pp. 2088-2107, 2006.
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., 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)
Dominey, P. F., T. Inui, and M. Hoen, "Neural network processing of natural language: II. Towards a unified model of corticostriatal function in learning sentence comprehension and non-linguistic sequencing.", Brain and Language, vol. 109, no. 2-3, pp. 80-92, 05/2009. Abstract  Download: DomineyInuiHoen2009a.pdf (410.79 KB)
Dominey, P. F., and F. Ramus, "Neural network processing of natural language: I. Sensitivity to serial, temporal and abstract structure of language in the infant", Language and Cognitive Processes, vol. 15, no. 1, pp. 87-127, 2000.  Download: LCP00.PDF (481 KB)