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Publications of Author

1. Hendrik Eeckhaut, Harald Devos, Benjamin Schrauwen, Mark Christiaens, Dirk Stroobandt
   A Hardware-Friendly Wavelet Entropy Codec for Scalable Video. [Citation Graph (0, 0)][DBLP]
   DATE, 2005, pp:14-19 [Conf]
   
2. Benjamin Schrauwen, Jan M. Van Campenhout
   Linking non-binned spike train kernels to several existing spike train metrics. [Citation Graph (0, 0)][DBLP]
   ESANN, 2006, pp:41-46 [Conf]
   
3. Benjamin Schrauwen, Jan M. Van Campenhout
   Parallel hardware implementation of a broad class of spiking neurons using serial arithmetic. [Citation Graph (0, 0)][DBLP]
   ESANN, 2006, pp:623-628 [Conf]
   
4. David Verstraeten, Benjamin Schrauwen, Dirk Stroobandt
   Isolated word recognition using a Liquid State Machine. [Citation Graph (0, 0)][DBLP]
   ESANN, 2005, pp:435-440 [Conf]
   
5. Michiel D'Haene, Benjamin Schrauwen, Dirk Stroobandt
   Accelerating Event Based Simulation for Multi-synapse Spiking Neural Networks. [Citation Graph (0, 0)][DBLP]
   ICANN (1), 2006, pp:760-769 [Conf]
   
6. David Verstraeten, Benjamin Schrauwen, Dirk Stroobandt, Jan Van Campenhout
   Isolated word recognition with the Liquid State Machine: a case study. [Citation Graph (0, 0)][DBLP]
   Inf. Process. Lett., 2005, v:95, n:6, pp:521-528 [Journal]
   
7. Benjamin Schrauwen, Jeroen Defour, David Verstraeten, Jan M. Van Campenhout
   The Introduction of Time-Scales in Reservoir Computing, Applied to Isolated Digits Recognition. [Citation Graph (0, 0)][DBLP]
   ICANN (1), 2007, pp:471-479 [Conf]
   
8. Eric A. Antonelo, Benjamin Schrauwen, Xavier Dutoit, Dirk Stroobandt, Marnix Nuttin
   Event Detection and Localization in Mobile Robot Navigation Using Reservoir Computing. [Citation Graph (0, 0)][DBLP]
   ICANN (2), 2007, pp:660-669 [Conf]
   
9. Benjamin Schrauwen, Jan Van Campenhout
   Linking non-binned spike train kernels to several existing spike train metrics. [Citation Graph (0, 0)][DBLP]
   Neurocomputing, 2007, v:70, n:7-9, pp:1247-1253 [Journal]
   
10. David Verstraeten, Benjamin Schrauwen, Michiel D'Haene, Dirk Stroobandt
    An experimental unification of reservoir computing methods. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2007, v:20, n:3, pp:391-403 [Journal]
    
11. 
    Bat echolocation modelling using spike kernels with Support Vector Regression. [Citation Graph (, )][DBLP]
    
    
12. 
    An overview of reservoir computing: theory, applications and implementations. [Citation Graph (, )][DBLP]
    
    
13. 
    Adapting reservoir states to get Gaussian distributions. [Citation Graph (, )][DBLP]
    
    
14. 
    Pruning and Regularisation in Reservoir Computing: a First Insight. [Citation Graph (, )][DBLP]
    
    
15. 
    Stable Output Feedback in Reservoir Computing Using Ridge Regression. [Citation Graph (, )][DBLP]
    
    
16. 
    Unsupervised Learning in Reservoir Computing: Modeling Hippocampal Place Cells for Small Mobile Robots. [Citation Graph (, )][DBLP]
    
    
17. 
    On the Quantification of Dynamics in Reservoir Computing. [Citation Graph (, )][DBLP]
    
    
18. 
    Real-Time Epileptic Seizure Detection on Intra-cranial Rat Data Using Reservoir Computing. [Citation Graph (, )][DBLP]
    
    
19. 
    Mobile robot control in the road sign problem using Reservoir Computing networks. [Citation Graph (, )][DBLP]
    
    
20. 
    Supervised learning of internal models for autonomous goal-oriented robot navigation using Reservoir Computing. [Citation Graph (, )][DBLP]
    
    
21. 
    Compact hardware for real-time speech recognition using a Liquid State Machine. [Citation Graph (, )][DBLP]
    
    
22. 
    Reservoir-based techniques for speech recognition. [Citation Graph (, )][DBLP]
    
    
23. 
    Backpropagation for Population-Temporal Coded Spiking Neural Networks. [Citation Graph (, )][DBLP]
    
    
24. 
    Band-pass Reservoir Computing. [Citation Graph (, )][DBLP]
    
    
25. 
    On Computational Power and the Order-Chaos Phase Transition in Reservoir Computing. [Citation Graph (, )][DBLP]
    
    
26. 
    Imitation Learning of an Intelligent Navigation System for Mobile Robots Using Reservoir Computing. [Citation Graph (, )][DBLP]
    
    
27. 
    Towards Autonomous Self-localization of Small Mobile Robots using Reservoir Computing and Slow Feature Analysis. [Citation Graph (, )][DBLP]
    
    
28. 
    Photonic Reservoir Computing with Coupled Semiconductor Optical Amplifiers. [Citation Graph (, )][DBLP]