Post-doc

Group leader

Benjamin.Schrauwen [AT] UGent.be
+32 9 264 95 26 (phone)
+32 9 264 35 94 (fax)

Parallel Information Systems (PARIS) group
Electronics and Information Systems (ELIS) department
Ghent University
Sint Pietersnieuwstraat 41
9000 Ghent
Belgium

 

Research Project

The goal of this doctoral thesis is to examine every aspect needed to get to an actual working digital implementation of a spiking neural network, and this in an embedded setup. This includes spike train encoding and decoding, training (online and offline), research for suited neuron models and interconnection topologies, link between neural network and processor, etc...

Visited conferences, co-organisation and review work

• Towards Applicable Spiking Neural Networks

Journal papers

1. Benjamin Schrauwen, Lars Buesing and Robert Legenstein On Computational Power and the Order-Chaos Phase Transition in Reservoir Computing Advances in Neural Information Processing Systems. 2009. 21: 1425-1432., pp. (2009)
2. David Verstraeten and Benjamin Schrauwen On the quantification of dynamics in Reservoir Computing Lecture Notes in Computer Science. 2009.., pp. (2009)
3. Eric Antonelo and Benjamin Schrauwen Unsupervised learning in reservoir computing: modeling hippocampal place cells for small mobile robots LECTURE NOTES IN COMPUTER SCIENCE. 2009. Springer Verlag Berlin. 5768: 747-756., pp. (2009)
4. Pieter Buteneers, Benjamin Schrauwen, David Verstraeten and Dirk Stroobandt Real-time epileptic seizure detection on intra-cranial rat data using reservoir computing LECTURE NOTES IN COMPUTER SCIENCE. 2009. Springer Verlag Berlin. 5506: 56-63., pp. (2009)
5. Michiel D`Haene, Benjamin Schrauwen, Jan Van Campenhout and Dirk Stroobandt Accelerating Event-Driven Simulation of Spiking Neurons with Multiple Synaptic Time Constants Neural Computation, Vol. 21(4), pp. 1068-1099 (2009)
6. Kristof Vandoorne, Wouter Dierckx, Benjamin Schrauwen, David Verstraeten, Peter Bienstman, Roel Baets and Jan Van Campenhout Photonic reservoir computing with coupled semiconductor optical amplifiers LECTURE NOTES IN COMPUTER SCIENCE. 2008. Springer Verlag. 5172: 46-55., pp. (2008)
7. Eric Antonelo, Benjamin Schrauwen and Dirk Stroobandt Event detection and localization for small mobile robots using reservoir computing Neural Networks, Vol. 21(6), pp. 862-871 (2008)
8. Kristof Vandoorne, Wouter Dierckx, Benjamin Schrauwen, David Verstraeten, Roel Baets, Peter Bienstman and Jan Van Campenhout Toward optical signal processing using Photonic Reservoir Computing Optics Express, Vol. 16(15), pp. 11182-11192 (2008)
9. Benjamin Schrauwen, Michiel D`Haene, David Verstraeten and Dirk Stroobandt Compact hardware Liquid State Machines on FPGA for real-time speech recognition Neural Networks(21), pp. 511-523 (2008)
10. Benjamin Schrauwen, Marion Wardermann, David Verstraeten, Jochen J. Steil and Dirk Stroobandt Improving reservoirs using intrinsic plasticity Neurocomputing(71), pp. 1159-1171 (2008)
11. Eric Antonelo, Benjamin Schrauwen and Jan Van Campenhout Generative Modeling of Autonomous Robots and their Environments using Reservoir Computing Neural Processing Letters, Vol. 26(3), pp. 233-249 (2007)
12. David Verstraeten, Benjamin Schrauwen, Michiel D`Haene and Dirk Stroobandt An experimental unification of reservoir computing methods Neural Networks, Vol. 20(3), pp. 391-403 (2007)
13. Benjamin Schrauwen and Jan Van Campenhout Linking non-binned spike train kernels to several existing spike train metrics Neurocomputing(70), pp. 1247-1253 (2007)
14. Hendrik Eeckhaut, Benjamin Schrauwen, Mark Christiaens and Jan Van Campenhout Tuning the M-coder to improve Dirac`s Entropy Coding WSEAS transactions on Information Science and Applications, Vol. 2(10), pp. 1563-1571 (2005)
15. David Verstraeten, Benjamin Schrauwen, Dirk Stroobandt and Jan Van Campenhout Isolated word recognition with the Liquid State Machine: a case study Information Processing Letters, Vol. 95(6), pp. 521-528 (2005)

Conference publications

1. Eric Antonelo and Benjamin Schrauwen On different learning approaches with echo state networks for localization of small mobile robots Congresso Brasileiro de Redes Neurais, 9th, Proceedings. 2009.., pp. (2009)
2. Eric Antonelo and Benjamin Schrauwen Towards autonomous self-localization of small mobile robots using reservoir computing and slow feature analysis IEEE International conference on Systems, Man, and Cybernetics, Conference digest. 2009. IEEE. 2., pp. (2009)
3. Francis wyffels and Benjamin Schrauwen Design of a central pattern generator using reservoir computing for learning human motion ATEQUAL 2009: 2009 ECSIS Symposium on Advanced Technologies for Enhanced Quality of Life (LABRS and ARTIPED 2009): proceedings. 2009. IEEE Computer Society.: 118-122., pp. (2009)
4. Michiel D`Haene and Benjamin Schrauwen Efficient, Scalable and Parallel Event-Driven Simulation Techniques for Complex Spiking Neuron Models NIPS Workshop, Parallel Implementations of Learning Algorithms: What have you done for me lately?, pp. (2008)
5. Michiel Hermans, Benjamin Schrauwen, Michiel D`Haene and Dirk Stroobandt Biologically inspired features in spiking neural networks Proceedings of the 19th Annual Workshop on Circuits, Systems and Signal Processing, pp. 328-334 (2008)
6. Pieter Buteneers, Benjamin Schrauwen, David Verstraeten and Dirk Stroobandt Epileptic seizure detection using Reservoir Computing Proceedings of the 19th Annual Workshop on Circuits, Systems and Signal Processing, pp. 1-4 (CD-ROM) (2008)
7. Eric Antonelo, Benjamin Schrauwen and Dirk Stroobandt Modeling Multiple Autonomous Robot Behaviors and Behavior Switching with a Single Reservoir Computing Network Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, pp. 1843-1848 (2008)
8. Francis wyffels, Benjamin Schrauwen and Dirk Stroobandt Stable Output Feedback in Reservoir Computing Using Ridge Regression Proceedings of the 18th International Conference on Artificial Neural Networks, pp. 808-817 (2008)
9. David Verstraeten, Samuel Xavier-de-Souza, Benjamin Schrauwen, Johan Suykens, Dirk Stroobandt and Joos Vandewalle Pattern classification with CNNs as reservoirs Proceedings of the International Symposium on Nonlinear Theory and its Applications (NOLTA), pp. (2008)
10. Francis wyffels, Benjamin Schrauwen and Dirk Stroobandt Using reservoir computing in a decomposition approach for time series prediction. Proceedings of the European Symposium on Time Series Prediction, pp. 149-158 (2008)
11. Francis wyffels, Benjamin Schrauwen, David Verstraeten and Dirk Stroobandt Band-pass reservoir computing Proceedings of the International Joint Conference on Neural Networks, pp. 3203-3208 (2008)
12. Eric Antonelo, Benjamin Schrauwen and Dirk Stroobandt Mobile Robot Control in the Road Sign Problem using Reservoir Computing Networks Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), pp. 911-916 (2008)
13. Francis wyffels, Benjamin Schrauwen and Dirk Stroobandt System modeling with Reservoir Computing Proceedings of the Annual Belgian-Dutch Machine Learning Conference (Benelearn), pp. 103-104 (2008)
14. Eric Antonelo, Benjamin Schrauwen and Dirk Stroobandt Imitation Learning of an Intelligent Navigation System for Mobile Robots using Reservoir Computing Proceedings of the 10th Brazilian Symposium on Neural Networks (SBRN`2008), pp. 93-98 (2008)
15. Xavier Dutoit, Benjamin Schrauwen, Jan Van Campenhout, Dirk Stroobandt, Hendrik Van Brussel and Marnix Nuttin Pruning and regularization in Reservoir Computing: a first insight Proceedings of the 16th European Symposium on Artificial Neural Networks, pp. 1-6 (2008)
16. Eric Antonelo, Xavier Dutoit, Benjamin Schrauwen, Dirk Stroobandt, Hendrik Van Brussel and Marnix Nuttin A Step Towards Autonomy in Robotics via Reservoir Computing NIPS 2007 Workshop: Robotics Challenges for Machine Learning, pp. (2007)
17. Eric Antonelo, Benjamin Schrauwen and Dirk Stroobandt Experiments with Reservoir Computing on the road sign problem Proceedings of the VIII Brazilian Congress on Neural Networks (CBRN), pp. digitaal (2007)
18. Eric Antonelo, Benjamin Schrauwen, Xavier Dutoit, Dirk Stroobandt and Marnix Nuttin Event detection and localization in mobile robot navigation using reservoir computing Proceedings of the International Conference on Artificial Neural Networks (ICANN), pp. 660-669 (2007)
19. Benjamin Schrauwen, David Verstraeten and Jan Van Campenhout An overview of reservoir computing: theory, applications and implementations Proceedings of the 15th European Symposium on Artificial Neural Networks, pp. 471-482 (2007)
20. Bertrand Fontaine, Herbert Peremans and Benjamin Schrauwen Bat echolocation modelling using spike kernels with Support Vector Regression Proceedings of the 15th European Symposium on Artificial Neural Networks, pp. 367-372 (2007)
21. David Verstraeten, Benjamin Schrauwen and Jan Van Campenhout Adapting reservoirs to get Gaussian distributions Proceedings of the 15th European Symposium on Artificial Neural Networks, pp. 495-500 (2007)
22. Benjamin Schrauwen, Michiel D`Haene, David Verstraeten and Jan Van Campenhout Compact hardware for real-time speech recognition using a Liquid State Machine Proceedings of the 20th International Joint Conference on Neural Networks, pp. on CD (2007)
23. Benjamin Schrauwen, Jeroen Defour, David Verstraeten and Jan Van Campenhout The Introduction of Time-Scales in Reservoir Computing, Applied to Isolated Digits Recognition Proceedings of the International Conference on Artificial Neural Networks, Vol. 1(4668), pp. 471-479 (2007)
24. Benjamin Schrauwen Introduction to Spiking Neural Networks, Liquid State Machines and their hardware implementations Proceedings of the third AMINA workshop (Applications Médicales de l`Informatique - Nouvelles Approches), pp. 97 (2006)
25. Benjamin Schrauwen Introduction to Spiking Neural Networks, Liquid State Machines and their hardware implementations AMINA 2006 Workshop Applications Médicales de l\\`Informatique, Vol. 3, pp. 97 (2006)
26. Michiel D`Haene, Benjamin Schrauwen and Dirk Stroobandt Accelerating event based simulation for multi-synapse spiking neural networks Proceedings Part I of the 16th International Conference on Artificial Neural Networks, Vol. 4131/2006, pp. 760-769 (2006)
27. David Verstraeten, Benjamin Schrauwen and Dirk Stroobandt Reservoir-based techniques for speech recognition Proceedings of the International Joint Conference on Neural Networks (IJCNN), pp. On CD (2006)
28. David Verstraeten, Benjamin Schrauwen, Michiel D`Haene and Dirk Stroobandt Reservoir Computing and its digital hardware implementations Proceedings of the Annual Machine Learning Conference of Belgium and The Netherlands (Benelearn), pp. 171-172 (2006)
29. Benjamin Schrauwen and Jan Van Campenhout Linking Non-binned Spike Train Kernels to Several Existing Spike Train Metrics Proceedings of the 14th European Symposium on Artificial Neural Networks, pp. 41-46 (2006)
30. Benjamin Schrauwen and Jan Van Campenhout Parallel Hardware Implementation of a Broad Class of Spiking Neurons using Serial Arithmetic Proceedings of the 14th European Symposium on Artificial Neural Networks, pp. 623-628 (2006)
31. David Verstraeten, Benjamin Schrauwen, Michiel D`Haene and Dirk Stroobandt The unified Reservoir Computing concept and its digital hardware implementations Proceedings of the 2006 EPFL LATSIS Symposium, pp. 139-140 (2006)
32. Benjamin Schrauwen and Jan Van Campenhout Backpropagation for Population-Temporal Coded Spiking Neural Networks Proceedings of the 2006 International Joint Conference on Neural Networks, pp. 3463-3470 (2006)
33. David Verstraeten, Benjamin Schrauwen and Dirk Stroobandt Reservoir Computing with Stochastic Bitstream Neurons Proceedings of the 16th Annual ProRISC Workshop, pp. 454-459 (2005)
34. Hendrik Eeckhaut, Benjamin Schrauwen, Mark Christiaens and Jan Van Campenhout Speeding Up Dirac`s Entropy Codec Proceedings of the 5th WSEAS Int. Conf. on Multimedia, Internet and Video Technologies,, pp. 120-125 (op CD) (2005)
35. David Verstraeten, Benjamin Schrauwen and Dirk Stroobandt Isolated word recognition using a Liquid State Machine Proceedings of the 13th European Symposium on Artificial Neural Networks (ESANN), pp. 435-440 (2005)
36. Hendrik Eeckhaut, Mark Christiaens, Benjamin Schrauwen, Harald Devos and Dirk Stroobandt Improving Parallelism of a Hardware Friendly, Scalable Wavelet Entropy codec Proceedings of SPS-DARTS 2005 (CD-ROM), pp. 159-162 (2005)
37. David Verstraeten, Benjamin Schrauwen and Jan Van Campenhout Recognition of Isolated Digits using a Liquid State Machine Proceedings of SPS-DARTS 2005, pp. 135-138 (2005)
38. Hendrik Eeckhaut, Harald Devos, Benjamin Schrauwen, Mark Christiaens and Dirk Stroobandt A Hardware-Friendly Wavelet Entropy Codec for Scalable Video Proceedings of Design, Automation and Test in Europe (DATE05), Vol. 3, pp. 14-19 (2005)
39. Benjamin Schrauwen and Michiel D`Haene Compact Digital Hardware Implementations of Spiking Neural Networks Sixth FirW PhD Symposium, pp. on CD (2005)
40. Hendrik Eeckhaut, Mark Christiaens, Harald Devos, Benjamin Schrauwen and Dirk Stroobandt Scalable and Hardware-friendly Wavelet Entropy Coding Proceedings of the 15th ProRISC Workshop, pp. (2004)
41. Benjamin Schrauwen and Jan Van Campenhout Improving SpikeProp: Enhancements to An Error-Backpropagation Rule for Spiking Neural Networks Proceedings of the 15th ProRISC Workshop, pp. (2004)
42. Harald Devos, Hendrik Eeckhaut, Benjamin Schrauwen, Mark Christiaens and Dirk Stroobandt Ever considered SystemC ? Proceedings of the 15th ProRISC Workshop, pp. 358-363 (2004)
43. Benjamin Schrauwen and Jan Van Campenhout Extending SpikeProp Proceedings of the International Joint Conference on Neural Networks, pp. 471-476 (2004)
44. B. Schrauwen and J. Van Campenhout BSA, a Fast and Accurate Spike Train Encoding Scheme Proceedings of the 2003 International Joint Conference on Neural Networks, pp. 2825-2830 (2003)
45. B. Schrauwen Embedded Spiking Neural Network Doctoraatssymposium Faculteit Toegepaste Wetenschappen, pp. on CD-ROM (2002)

Other publications

1. Benjamin Schrauwen Towards applicable spiking neural networks Doctoraatsproefschrift Faculteit Ingenieurswetenschappen, Universiteit Gent, pp. (2008)
2. Benjamin Schrauwen On implementing reservoir computing Invited talk at the NIPS 2006 workshop on Echo State Networks and Liquid State Machines, pp. (2006)
3. B. Schrauwen Pulstreincodering en training met meerdere datasets op de CBM Afstudeerwerk FTW, RUG, pp. (2002)