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Fri, 2007-01-12 20:08 — mronsse

Publications of Benjamin Schrauwen

Journal papers

  1. Michiel Hermans and Benjamin Schrauwen Recurrent kernel machines : computing with infinite echo state networks NEURAL COMPUTATION, Vol. 24(1), pp. 104-133 (2012)
  2. Pieter-Jan Kindermans, David Verstraeten and Benjamin Schrauwen A bayesian model for exploiting application constraints to enable unsupervised training of a P300 based BCI PLOS ONE, pp. (2012)
  3. Yvan Paquot, Francois Duport, Antoneo Smerieri, Joni Dambre, Benjamin Schrauwen, Marc Haelterman and Serge Massar Optoelectronic reservoir computing SCIENTIFIC REPORTS, Vol. 2, pp. 1-6 (2012)
  4. Kristof Vandoorne, Joni Dambre, David Verstraeten, Benjamin Schrauwen and Peter Bienstman Parallel reservoir computing using optical amplifiers IEEE TRANSACTIONS ON NEURAL NETWORKS, Vol. 22(9), pp. 1469-1481 (2011)
  5. Eric Antonelo and Benjamin Schrauwen Learning slow features with reservoir computing for biologically-inspired robot localization NEURAL NETWORKS, pp. (2011)
  6. Lennert Appeltant, Miguel Cornelles Soriano, Guy Van der Sande, Jan Danckaert, Serge Massar, Joni Dambre, Benjamin Schrauwen, Claudio R Mirasso and Ingo Fischer Information processing using a single dynamical node as complex system NATURE COMMUNICATIONS, Vol. 2, pp. 6 (2011)
  7. Pieter Buteneers, David Verstraeten, Pieter van Mierlo, Tine Wyckhuys, Dirk Stroobandt, Robrecht Raedt, Hans Hallez and Benjamin Schrauwen Automatic detection of epileptic seizures on the intra-cranial electroencephalogram of rats using reservoir computing ARTIFICIAL INTELLIGENCE IN MEDICINE, Vol. 53(3), pp. 215-223 (2011)
  8. Francis wyffels and Benjamin Schrauwen A comparative study of Reservoir Computing strategies for monthly time series prediction NEUROCOMPUTING, Vol. 73(10-12), pp. 1958-1964 (2010)
  9. Lars Buesing, Benjamin Schrauwen and Robert Legenstein Connectivity, dynamics, and memory in Reservoir Computing with binary and analog neurons NEURAL COMPUTATION, Vol. 22(5), pp. 1272-1311 (2010)
  10. Francis wyffels, Michiel Hermans and Benjamin Schrauwen Building robots as a tool to motivate students into an engineering education AT&P JOURNAL PLUS(2010-2), pp. 113-116 (2010)
  11. Michiel Hermans and Benjamin Schrauwen Memory in linear recurrent neural networks in continuous time NEURAL NETWORKS, Vol. 23(3), pp. 341-355 (2010)
  12. Michiel D'Haene and Benjamin Schrauwen Fast and exact simulation methods applied on a broad range of neuron models NEURAL COMPUTATION, Vol. 22(6), pp. 1468-1472 (2010)
  13. Yvan Paquot, Francois Duport, Joni Dambre, Benjamin Schrauwen, Marc Haelterman and Serge Massar Artificial intelligence at light speed : toward optoelectronic reservoir computing BELGIAN PHYSICAL SOCIETY MAGAZINE(3), pp. 15-22 (2010)
  14. 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)
  15. 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)
  16. 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)
  17. Benjamin Schrauwen, Marion Wardermann, David Verstraeten, Jochen J. Steil and Dirk Stroobandt Improving reservoirs using intrinsic plasticity Neurocomputing(71), pp. 1159-1171 (2008)
  18. 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)
  19. 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)
  20. 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)
  21. Benjamin Schrauwen and Jan Van Campenhout Linking non-binned spike train kernels to several existing spike train metrics Neurocomputing(70), pp. 1247-1253 (2007)
  22. 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)
  23. 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. Kristof Vandoorne, Joni Dambre, David Verstraeten, Benjamin Schrauwen and Peter Bienstman Speech recognition using photonic reservoir computing with semiconductor optical amplifiers Conference proceedings : 2nd international conference on morphological computation, pp. 148-148 (2011)
  2. Kristof Vandoorne, Martin Fiers, David Verstraeten, Benjamin Schrauwen, Joni Dambre and Peter Bienstman Optical signal processing with a network of semiconductor optical amplifiers in the context of photonic reservoir computing Proceedings of SPIE, the International Society for Optical Engineering, Vol. 7972, pp. 7 (2011)
  3. Kristof Vandoorne, Martin Fiers, Thomas Van Vaerenbergh, David Verstraeten, Benjamin Schrauwen, Joni Dambre and Peter Bienstman Advances in photonic reservoir computing on an integrated platform 2011 13th International conference on transparent optical networks, pp. 4 (2011)
  4. Lennert Appeltant, MC Soriano, Guy Van der Sande, Jan Dankaert, Serge Massar, Joni Dambre, Benjamin Schrauwen, Claudio R Mirasso and Ingo Fisher Reservoir computing using a delayed feedback system : towards photonic implemetations Proceedings Annual Symposium of the IEEE/LEOS Benelux Chapter, 2008, pp. 125-128 (2011)
  5. Sander Dieleman, Philémon Brakel and Benjamin Schrauwen Audio-based music classification with a pretrained convolutional network Proceedings of the 12th international society for music information retrieval conference : Proc. ISMIR 2011, pp. 669-674 (2011)
  6. Tim Waegeman and Benjamin Schrauwen Towards learning inverse kinematics with a neural network based tracking controller Lecture Notes in Computer Science, Vol. 7064, pp. 441-448 (2011)
  7. Eric Antonelo, Stefan Depeweg and Benjamin Schrauwen Learning navigation attractors for mobile robots with reinforcement learning and reservoir computing Computational Intelligence, 10th Brazilian congress, Proceedings, pp. (2011)
  8. Pieter-Jan Kindermans, David Verstraeten, Pieter Buteneers and Benjamin Schrauwen How do you like your P300 speller : adaptive, accurate and simple? 5th international brain-computer interface conference, Proceedings, pp. 4 (2011)
  9. Ken Caluwaerts and Benjamin Schrauwen The body as a reservoir : locomotion and sensing with linear feedback Morphological Computation, 2nd International conference, Proceedings, pp. 3 (2011)
  10. Martin Fiers, Thomas Van Vaerenbergh, Pieter Dumon, K Caluwaerts, Benjamin Schrauwen, Joni Dambre and Peter Bienstman CAPHE : a circuit-level time-domain and frequency-domain modeling tool for nonlinear optical components Proceedings of the 2011 annual symposium of the IEEE Photonics Benelux Chapter, pp. 277-280 (2011)
  11. Francis wyffels, Karel Bruneel, Pieter-Jan Kindermans, Michiel D'Haene, Pierre Woestyn, Peter Bertels and Benjamin Schrauwen Robot competitions trick students into learning Proceedings of the 2nd international conference on robotics in education, pp. 47-51 (2011)
  12. Peter Bienstman, Kristof Vandoorne, Martin Fiers, David Verstraeten, Joni Dambre and Benjamin Schrauwen Photonic reservoir computing as a new paradigm for optical information processing Photonics North 2010, pp. 196-196 (2010)
  13. Kristof Vandoorne, Martin Fiers, David Verstraeten, Benjamin Schrauwen, Joni Dambre and Peter Bienstman Photonic reservoir computing : a new approach to optical information processing 2010 12th International Conference on Transparent Optical Networks (ICTON 2010), pp. 4 (2010)
  14. Pieter-Jan Kindermans, Pieter Buteneers, David Verstraeten and Benjamin Schrauwen An uncued brain-computer interface using reservoir computing Workshop : machine learning for assistive technologies, Proceedings, pp. 8 (2010)
  15. Francis wyffels, Michiel Hermans and Benjamin Schrauwen Building robots as a tool to motivate students into an engineering education Proceedings of the 1st International conference on Robotics in Education, pp. 49-52 (2010)
  16. Kristof Vandoorne, Joni Dambre, David Verstraeten, Benjamin Schrauwen and Peter Bienstman Delays in photonic reservoir computing with semiconductor optical amplifiers Proceedings of the 2010 annual symposium of the IEEE Photonics Benelux Chapter, pp. 25-28 (2010)
  17. Yvan Paquot, Joni Dambre, Benjamin Schrauwen, Marc Haelterman and Serge Massar Reservoir computing : a photonic neural network for information processing PROCEEDINGS OF THE SOCIETY OF PHOTO-OPTICAL INSTRUMENTATION ENGINEERS (SPIE), Vol. 7728, pp. 12 (2010)
  18. Eric Antonelo and Benjamin Schrauwen Supervised learning of internal models for autonomous goal-oriented robot navigation using Reservoir Computing IEEE International conference on Robotics and Automation, Proceedings, pp. 6 (2010)
  19. Michiel Hermans and Benjamin Schrauwen Memory in reservoirs for high dimensional input Neural Networks, International Joint Conference, Proceedings, pp. 7 (2010)
  20. Michiel Hermans and Benjamin Schrauwen One step Backpropagation Through Time for learning input mapping in reservoir computing applied to speech recognition Circuits and Systems, IEEE International symposium, Proceedings, pp. 521-524 (2010)
  21. David Verstraeten, Joni Dambre, Xavier Dutoit and Benjamin Schrauwen Memory versus non-linearity in reservoirs Neural Networks, International Joint Conference, Proceedings, pp. 8 (2010)
  22. Francis wyffels, Michiel D'Haene, Tim Waegeman, Ken Caluwaerts, Conrado Nunes and Benjamin Schrauwen Realization of a passive compliant robot dog Proceedings of the 2010 3rd IEEE RAS & EMBS International conference on Biomedical Robotics and Biomechanics, pp. 882-886 (2010)
  23. Fabian Triefenbach, Azarakhsh Jalalvand, Benjamin Schrauwen and Jean Martens Phoneme recognition with large hierarchical reservoirs Advances in Neural Information Processing Systems, Vol. 23, pp. 9 (2010)
  24. John Butcher, David Verstraeten, Benjamin Schrauwen, Charles Day and Peter Haycock Extending reservoir computing with random static projections : a hybrid between extreme learning and RC European Symposium on Artificial Neural Networks, 18th, Proceedings, pp. 303-308 (2010)
  25. François Duport, Yvan Paquot, Joni Dambre, Benjamin Schrauwen, Marc Haelterman and Serge Massar De l'utilisation d'un oscillateur optoelectronique comme reservoir computer Journees Nationales d'Optique Guidée, 29ièmes, Communications, pp. 59-61 (2010)
  26. 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, Vol. 21, pp. 1425-1432 (2009)
  27. Tim Waegeman, Eric Antonelo, Francis wyffels and Benjamin Schrauwen Modular reservoir computing networks for imitation learning of multiple robot behaviors IEEE International Symposium on Computational Intelligence in Robotics and Automation, 8th, Proceedings, pp. 27-32 (2009)
  28. 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, Vol. 5506, pp. 56-63 (2009)
  29. 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, Vol. 2, pp. (2009)
  30. 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, pp. (2009)
  31. 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, pp. 118-122 (2009)
  32. Eric Antonelo and Benjamin Schrauwen Unsupervised learning in reservoir computing : modeling hippocampal place cells for small mobile robots LECTURE NOTES IN COMPUTER SCIENCE, Vol. 5768, pp. 747-756 (2009)
  33. Benjamin Schrauwen and Lars Buesing A hierarchy of recurrent networks for speech recognition NIPS, Proceedings, pp. 8 (2009)
  34. David Verstraeten and Benjamin Schrauwen On the quantification of dynamics in Reservoir Computing LECTURE NOTES IN COMPUTER SCIENCE, Vol. 5768, pp. 985-994 (2009)
  35. Pieter Buteneers, Benjamin Schrauwen, David Verstraeten and Dirk Stroobandt Real-time epileptic seizure detection using reservoir computing Seizure Prediction, 4th International workshop, Abstracts, pp. (2009)
  36. 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, Vol. 5172, pp. 46-55 (2008)
  37. 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)
  38. 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)
  39. 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)
  40. 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)
  41. 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)
  42. 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)
  43. 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)
  44. 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)
  45. 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)
  46. 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)
  47. 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)
  48. 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)
  49. 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)
  50. 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)
  51. 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)
  52. 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)
  53. 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)
  54. 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)
  55. 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)
  56. 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)
  57. 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)
  58. Benjamin Schrauwen Introduction to Spiking Neural Networks, Liquid State Machines and their hardware implementations AMINA 2006 Workshop Applications M��dicales de l\\`Informatique, Vol. 3, pp. 97 (2006)
  59. 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)
  60. 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)
  61. 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)
  62. 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)
  63. 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)
  64. 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)
  65. Hendrik Eeckhaut, Harald Devos, Benjamin Schrauwen, Mark Christiaens and Dirk Stroobandt Hardware-Friendly Wavelet Entropy Codec for Scalable Video Proceedings of Design, Automation and Test in Europe (DATE05), pp. 14-19 (2005)
  66. David Verstraeten, Benjamin Schrauwen and Dirk Stroobandt Reservoir Computing with Stochastic Bitstream Neurons Proceedings of the 16th Annual ProRISC Workshop, pp. 454-459 (2005)
  67. 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)
  68. 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)
  69. 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)
  70. 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)
  71. 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)
  72. Benjamin Schrauwen and Michiel D`Haene Compact Digital Hardware Implementations of Spiking Neural Networks Sixth FirW PhD Symposium, pp. on CD (2005)
  73. 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. 1-1 (2004)
  74. 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)
  75. Harald Devos, Hendrik Eeckhaut, Benjamin Schrauwen, Mark Christiaens and Dirk Stroobandt Ever considered SystemC ? Proceedings of the 15th ProRISC Workshop, pp. 358-363 (2004)
  76. Benjamin Schrauwen and Jan Van Campenhout Extending SpikeProp Proceedings of the International Joint Conference on Neural Networks, pp. 471-476 (2004)
  77. 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)
  78. 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)