Publications

Journal papers

  1. Thibault Verhoeven, David Hübner, Michael Tangermann, Klaus-Robert Mueller, Joni Dambre and Pieter-Jan Kindermans Improving zero-training brain-computer interfaces by mixing model estimators Journal of Neural Engineering, pp. (2017)
  2. Bendix Schneider, Joni Dambre and Peter Bienstman Using digital masks to enhance the bandwidth tolerance and improve the performance of on-chip reservoir computing systems IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, Vol. 27(12) pp. 2748-2853 (2016)
  3. Bendix Schneider, Joni Dambre and Peter Bienstman Fast particle characterization using digital holography and neural networks APPLIED OPTICS, Vol. 55(1) pp. 133-139 (2016)
  4. Di Wu, Lionel Pigou, Pieter-Jan Kindermans, Nam LE, Ling Shao, Joni Dambre and Jean-Marc Odobez Deep Dynamic Neural Networks for Multimodal Gesture Segmentation and Recognition IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. PP(99) pp. 15 (2016)
  5. Juan Pablo Carbajal, Joni Dambre, Michiel Hermans and Benjamin Schrauwen Memristor Models for Machine Learning Neural Computation, pp. (2015)
  6. Jonas Degrave, Michaël Burm, Pieter-Jan Kindermans, Joni Dambre and Francis wyffels Transfer learning of gaits on a quadrupedal robot Adaptive Behavior, pp. (2015)
  7. Thibault Verhoeven, Pieter Buteneers, Roeljan Wiersema, Joni Dambre and P.J. Kindermans Towards a symbiotic brain-computer interface: exploring the application-decoder interaction. Journal of Neural Engineering, pp. (2015)
  8. Michiel Hermans, Joni Dambre and Peter Bienstman Optoelectronic Systems Trained With Backpropagation Through Time IEEE Transactions on Neural Networks and Learning Systems, pp. (2015)
  9. Michiel Hermans, Michaël Burm, Thomas Van Vaerenbergh, Joni Dambre and Peter Bienstman Trainable hardware for dynamical computing using error backpropagation through physical media NATURE COMMUNICATIONS, Vol. 6 pp. 8 (2015)
  10. Sander Dieleman, Kyle Willett and Joni Dambre Rotation-invariant convolutional neural networks for galaxy morphology prediction MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY, Vol. 450(2) pp. 1441-1459 (2015)
  11. Thomas Van Vaerenbergh, Martin Fiers, Joni Dambre and Peter Bienstman Efficient simulation of optical nonlinear cavity circuits OPTICAL AND QUANTUM ELECTRONICS, Vol. 47(6) pp. 1471-1476 (2015)
  12. Michiel Hermans, Miguel C. Soriano, Joni Dambre, Peter Bienstman and Ingo Fischer Photonic delay systems as machine learning implementations JOURNAL OF MACHINE LEARNING RESEARCH, Vol. 16 pp. 2081-2097 (2015)
  13. Jeroen Burms, Ken Caluwaerts and Joni Dambre Reward-modulated Hebbian plasticity as leverage for partially embodied control in compliant robotics FRONTIERS IN NEUROBOTICS, Vol. 9(9) pp. 14 (2015)
  14. Ken Caluwaerts, Jérémie Despraz, Atil Iscen, Andrew Sabelhaus, Jonathan Bruce, Benjamin Schrauwen and Vytas SunSpiral Design and Control of Compliant Tensegrity Robots through Simulation and Hardware Validation JOURNAL OF THE ROYAL SOCIETY INTERFACE, Vol. 11(98) pp. (2014)
  15. Martin Fiers, Thomas Van Vaerenbergh, Francis wyffels, David Verstraeten, Benjamin Schrauwen, Joni Dambre and Peter Bienstman Nanophotonic reservoir computing with photonic crystal cavities to generate periodic patterns IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, Vol. 25(2) pp. 344-355 (2014)
  16. Michiel Hermans, Benjamin Schrauwen, Peter Bienstman and Joni Dambre Automated design of complex dynamic systems PLOS ONE, Vol. 9(1) pp. 11 (2014)
  17. Francis wyffels, Jiwen Li, Tim Waegeman, Benjamin Schrauwen and Herbert Jaeger Frequency modulation of large oscillatory neural networks BIOLOGICAL CYBERNETICS, pp. (2014)
  18. Pieter-Jan Kindermans, Martijn Schreuder, Benjamin Schrauwen, Klaus-Robert Müller and Michael Tangermann True zero-training brain-computer interfacing : an online study PLOS ONE, Vol. 9(7) pp. 13 (2014)
  19. Pieter-Jan Kindermans, Michael Tangermann, Klaus-Robert Müller and Benjamin Schrauwen Integrating dynamic stopping, transfer learning and language models in an adaptive zero-training ERP speller JOURNAL OF NEURAL ENGINEERING, Vol. 11(3) pp. 10 (2014)
  20. Kristof Vandoorne, Pauline Mechet, Thomas Van Vaerenbergh, Martin Fiers, Geert Morthier, David Verstraeten, Benjamin Schrauwen, Joni Dambre and Peter Bienstman Experimental demonstration of reservoir computing on a silicon photonics chip NATURE COMMUNICATIONS, Vol. 5 pp. 6 (2014)
  21. Aäron van den Oord and Benjamin Schrauwen The student-t mixture as a natural image patch prior with application to image compression JOURNAL OF MACHINE LEARNING RESEARCH, Vol. 15 pp. 2061-2086 (2014)
  22. Femke Ongenae, Stijn Van Looy, David Verstraeten, Thierry Verplancke, Dominique Benoit, Filip De Turck, Tom Dhaene, Benjamin Schrauwen and Johan Decruyenaere Time series classification for the prediction of dialysis in critically ill patients using echo state networks ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, Vol. 26(3) pp. 984-996 (2013)
  23. Philémon Brakel, Dirk Stroobandt and Benjamin Schrauwen Training energy-based models for time-series imputation JOURNAL OF MACHINE LEARNING RESEARCH, Vol. 14 pp. 2771-2797 (2013)
  24. Ken Caluwaerts, Michiel D'Haene, David Verstraeten and Benjamin Schrauwen Locomotion without a brain : physical reservoir computing in tensegrity structures ARTIFICIAL LIFE, Vol. 19(1) pp. (2013)
  25. Pieter-Jan Kindermans, Hannes Verschore and Benjamin Schrauwen A unified probabilistic approach to improve spelling in an event-related potential based brain-computer interface IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, pp. (2013)
  26. Pieter Buteneers, Ken Caluwaerts, David Verstraeten, Joni Dambre and Benjamin Schrauwen Optimized parameter search for large datasets of the regularization parameter and feature selection for ridge regression NEURAL PROCESSING LETTERS, pp. (2013)
  27. Tim Waegeman, Michiel Hermans and Benjamin Schrauwen MACOP modular architecture with control primitives FRONTIERS IN COMPUTATIONAL NEUROSCIENCE, Vol. 7 pp. 13 (2013)
  28. 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)
  29. Pieter Buteneers, David Verstraeten, Bregt Van Nieuwenhuyse, Dirk Stroobandt, Robrecht Raedt, Kristl Vonck, Paul Boon and Benjamin Schrauwen Real-time detection of epileptic seizures in animal models using reservoir computing EPILEPSY RESEARCH, pp. (2012)
  30. 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)
  31. David Verstraeten, Benjamin Schrauwen, Sander Dieleman, Philémon Brakel, Pieter Buteneers and Dejan Pecevski Oger : modular learning architectures for large-scale sequential processing JOURNAL OF MACHINE LEARNING RESEARCH, Vol. 13 pp. 2995-2998 (2012)
  32. Thomas Van Vaerenbergh, Martin Fiers, Pauline Mechet, Thijs Spuesens, Rajesh Kumar, Geert Morthier, Benjamin Schrauwen, Joni Dambre and Peter Bienstman Cascadable excitability in microrings OPTICS EXPRESS, Vol. 20(18) pp. 20292-20308 (2012)
  33. Michiel Hermans and Benjamin Schrauwen Recurrent kernel machines : computing with infinite echo state networks NEURAL COMPUTATION, Vol. 24(1) pp. 104-133 (2012)
  34. Tim Waegeman, Francis wyffels and Benjamin Schrauwen Feedback control by online learning an inverse model IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, Vol. 23(10) pp. 1637-1648 (2012)
  35. Martin Fiers, Thomas Van Vaerenbergh, Ken Caluwaerts, Dries Vande Ginste, Benjamin Schrauwen, Joni Dambre and Peter Bienstman Time-domain and frequency-domain modeling of nonlinear optical components at the circuit-level using a node-based approach JOURNAL OF THE OPTICAL SOCIETY OF AMERICA B-OPTICAL PHYSICS, Vol. 29(5) pp. 896-900 (2012)
  36. Joni Dambre, David Verstraeten, Benjamin Schrauwen and Serge Massar Information processing capacity of dynamical systems SCIENTIFIC REPORTS, Vol. 2 pp. 1-7 (2012)
  37. 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)
  38. 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)
  39. Eric Antonelo and Benjamin Schrauwen Learning slow features with reservoir computing for biologically-inspired robot localization NEURAL NETWORKS, pp. (2011)
  40. 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)
  41. 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)
  42. Michiel Hermans and Benjamin Schrauwen Memory in linear recurrent neural networks in continuous time NEURAL NETWORKS, Vol. 23(3) pp. 341-355 (2010)
  43. 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)
  44. 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)
  45. 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)
  46. 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)
  47. 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)
  48. 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)
  49. 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)
  50. Benjamin Schrauwen, Marion Wardermann, David Verstraeten, Jochen J. Steil and Dirk Stroobandt Improving reservoirs using intrinsic plasticity Neurocomputing, (71) pp. 1159-1171 (2008)
  51. 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)
  52. 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)
  53. 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)
  54. Benjamin Schrauwen and Jan Van Campenhout Linking non-binned spike train kernels to several existing spike train metrics Neurocomputing, (70) pp. 1247-1253 (2007)
  55. 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. Lionel Pigou, Mieke Van Herreweghe and Joni Dambre Sign classification in sign language Corpora with deep neural networks International Conference on Language Resources and Evaluation (LREC), Workshop, Proceedings, pp. 175-178 (2016)
  2. Floris Laporte, Joni Dambre and Peter Bienstman Photorefractive crystals as brain-inspired photonic reservoir computing systems pp. 151-154 (2016)
  3. Thibault Verhoeven, Ana Coito, Pieter van Mierlo, Margitta Seeck, Christoph Michel, Gijs Plomp, Joni Dambre and Serge Vulliemoz Using Random Forest for Diagnosis and Lateralization of Temporal Lobe Epilepsy from EEG-based Directed Functional Connectivity 12th European Congress on Epileptology, Prague, Czech Republic11th-15thSeptember, 2016, Vol. 57 pp. 64- (2016)
  4. Thibault Verhoeven, Pieter-Jan Kindermans, Stefaan Vandenberghe and Joni Dambre Reducing BCI calibration time with transfer learning : a shrinkage approach Proceedings of the Sixth International Brain-Computer Interface Meeting: BCI Past, Present, and Future, pp. (2016)
  5. Thibault Verhoeven, Ana Coito, Pieter van Mierlo, Margitta Seeck, Christoph Michel, Gijs Plomp, Joni Dambre and Serge Vulliemoz Automatic diagnosis of temporal lobe epilepsy and its lateralization using EEG-based directed functional connectivity Organization for Human Brain Mapping 2016, pp. (2016)
  6. Andrew Katumba, Bendix Schneider, Joni Dambre and Peter Bienstman An integrated photonics reservoir computing approach to signal equalization for telecommunications 2016 18TH INTERNATIONAL CONFERENCE ON TRANSPARENT OPTICAL NETWORKS (ICTON), pp. 1 (2016)
  7. Thibault Verhoeven, Gregor Strobbe, Pieter van Mierlo, Pieter Buteneers, Stefaan Vandenberghe and Joni Dambre A Bayesian model to estimate individual skull conductivity for EEG source imaging International Workshop on Seizure Predictions 7, Abstracts, pp. (2015)
  8. Jeroen Burms, Ken Caluwaerts and Joni Dambre Online unsupervised terrain classification for a compliant tensegrity robot using a mixture of echo state networks International Conference on Robotics and Automation, Proceedings, pp. 4252-4257 (2015)
  9. Jonas Degrave, Ken Caluwaerts, Joni Dambre and Francis wyffels Developing an embodied gait on a compliant quadrupedal robot International Conference on Intelligent Robots and Systems, Proceedings, pp. 6 (2015)
  10. Bendix Schneider, G Vanmeerbeeck, R Stahl, L Lagae, Joni Dambre and Peter Bienstman Neural network for blood cell classification in a holographic microscopy system 17th International Conference on Transparent Optical Networks, pp. 1-4 (2015)
  11. Joni Dambre Practical approaches to exploiting body dynamics in robot motor control Workshop: Advances in Biologically Inspired Brain-Like Cognition and Control for Learning Robots, Abstracts, pp. 1-1 (2015)
  12. Joni Dambre Partially embodied motor control : towards a natural collaboration between body and brain Workshop on Reservoir Computing, Abstracts, pp. 1-1 (2015)
  13. Aäron van den Oord and Joni Dambre Locally-connected transformations for deep GMMs International Conference on Machine Learning (ICML) : Deep learning Workshop, Abstracts, pp. 1-8 (2015)
  14. Andrew Katumba, Peter Bienstman and Joni Dambre Photonic reservoir computing approaches to nanoscale computation Proceedings of the Second Annual Conference on Nanoscale Computing and communication, pp. 1-2 (2015)
  15. Thibault Verhoeven, Pieter Buteneers, Benjamin Schrauwen and Pieter-Jan Kindermans An unsupervised plug and play BCI with consumer grade hardware Berlin BCI Winter School 2014, Abstracts, pp. (2014)
  16. Aäron van den Oord, Sander Dieleman and Benjamin Schrauwen Transfer learning by supervised pre-training for audio-based music classification Conference of the International Society for Music Information Retrieval, Proceedings, pp. 6 (2014)
  17. Pieter-Jan Kindermans, Benjamin Schrauwen, Benjamin Blankertz, Klaus-Robert Müller and Michael Tangermann Transferring Unsupervised Adaptive Classifiers Between Users of a Spatial Auditory Brain-Computer Interface pp. (2014)
  18. Thibault Verhoeven, Pieter-Jan Kindermans, Pieter Buteneers and Benjamin Schrauwen Switching Characters between Stimuli improves P300 Speller Accuracy pp. (2014)
  19. Sander Dieleman and Benjamin Schrauwen End-to-end learning for music audio International Conference on Acoustics Speech and Signal Processing ICASSP, pp. 6964-6968 (2014)
  20. Aäron van den Oord and Benjamin Schrauwen Factoring variations in natural images with deep Gaussian mixture models Neural Information Processing Systems, Proceedings, pp. 9 (2014)
  21. Thomas Van Vaerenbergh, Koen Alexander, Martin Fiers, Pauline Mechet, Joni Dambre and Peter Bienstman Cascadable excitability in optically injected microdisks Proceedings of SPIE, Vol. 9134 pp. 15 (2014)
  22. Lionel Pigou, Sander Dieleman, Pieter-Jan Kindermans and Benjamin Schrauwen Sign language recognition using convolutional neural networks European Conference on Computer Vision, Workshop, Proceedings, pp. 8 (2014)
  23. Thomas Van Vaerenbergh, Martin Fiers, Joni Dambre and Peter Bienstman An optical delayline based on excitable microrings Photonics Conference 2014, Abstracts, pp. 118-119 (2014)
  24. Ken Caluwaerts, Francis wyffels, Sander Dieleman and Benjamin Schrauwen The spectral radius remains a valid indicator of the echo state property for large reservoirs IEEE International Joint Conference on Neural Networks (IJCNN), pp. 6 (2013)
  25. Thomas Van Vaerenbergh, Martin Fiers, Peter Bienstman and Joni Dambre Towards integrated optical spiking neural networks: delaying spikes on chip 2013 SIXTH RIO DE LA PLATA WORKSHOP ON LASER DYNAMICS AND NONLINEAR PHOTONICS, pp. 2 (2013)
  26. Robin Bailleul, Jan De Cock, Benjamin Schrauwen, Peter Lambert and Rik Van de Walle Content feature based bit rate modelling for scalable video coding using machine learning algorithms IEEE International Conference on Multimedia and Expo, Proceedings, pp. 4 (2013)
  27. Pieter-Jan Kindermans and Benjamin Schrauwen Dynamic stopping in a calibration-less P300 speller 5th International Brain-Computer Interface Meeting, Abstracts, pp. 2 (2013)
  28. Michael Tangermann, Pieter-Jan Kindermans, Martijn Schreuder, Benjamin Schrauwen and Klaus-Robert Müller Zero training for BCI–reality for BCI systems based on event-related potentials Dreiländertagung der Deutschen, Schweizerischen und Österreichischen Gesellschaft für Biomedizinische Technik, Abstracts, pp. 2 (2013)
  29. Ken Caluwaerts, Jonas Degrave, Tim Waegeman, Francis wyffels and Benjamin Schrauwen UGent AMARSi progress AMARSi, Abstracts, pp. (2013)
  30. Philémon Brakel, Dirk Stroobandt and Benjamin Schrauwen Bidirectional truncated recurrent neural networks for efficient speech denoising INTERSPEECH, pp. 5 (2013)
  31. Jonas Degrave, Michaël Burm, Tim Waegeman, Francis wyffels and Benjamin Schrauwen Comparing trotting and turning strategies on the quadrupedal Oncilla Robot IEEE International Conference on Robotics and Biomimetics, Proceedings, pp. 6 (2013)
  32. Jonas Degrave, Robin Van Cauwenbergh, Francis wyffels, Tim Waegeman and Benjamin Schrauwen Terrain classification for a quadruped robot International Conference on Machine Learning and Applications, Proceedings, pp. 6 (2013)
  33. Aäron van den Oord, Sander Dieleman and Benjamin Schrauwen Learning a piecewise linear transform coding scheme for images Proceedings of SPIE, the International Society for Optical Engineering, Vol. 8768 pp. 5 (2013)
  34. Sander Dieleman and Benjamin Schrauwen Multiscale approaches to music audio feature learning Proceedings of the 14th international society for music information retrieval conference, pp. 116-121 (2013)
  35. Aäron van den Oord, Sander Dieleman and Benjamin Schrauwen Deep content-based music recommendation Advances in Neural Information Processing Systems 26 (2013), Vol. 26 pp. 9 (2013)
  36. Pieter Buteneers, Dirk Stroobandt and Benjamin Schrauwen Building a patient-specific seizure detector without expert input using user triggered active learning strategies 30th International Epilepsy Congress, Abstracts, pp. (2013)
  37. Pieter Buteneers, Thibault Verhoeven, Pieter-Jan Kindermans and Benjamin Schrauwen A case study demonstrating the pitfalls during evaluation of a predictive seizure detector International Workshop on Seizure Predictions 6, Proceedings, pp. (2013)
  38. Peter Bienstman, Kristof Vandoorne, Thomas Van Vaerenbergh, Martin Fiers, Bendix Schneider, Benjamin Schrauwen and Joni Dambre Using silicon nanophotonics for digital and analog signal processing with reservoir computing Progress in Electromagnetics Research Symposium, Abstracts, pp. 64-64 (2013)
  39. François Duport, Anteo Smerieri, Yvan Paquot, Bendix Schneider, Joni Dambre, Benjamin Schrauwen, Marc Haelterman and Serge Massar Recent advances in optical reservoir computing IEEE International Symposium on Circuits and Systems, pp. 333-336 (2013)
  40. Alexander Sproewitz, Alexandre Tuleu, Michiel D'Haene, Rico Möckel, Jonas Degrave, Massimo Vespignani, Sebastien Gay, Mostafa Ajallooeian, Benjamin Schrauwen and Auke Jan Ijspeert Towards dynamically running quadruped robots : performance, scaling, and comparison Adaptive Motion of Animals and Machines, Proceedings, pp. 133-135 (2013)
  41. Fréderic Godin, Viktor Slavkovikj, Wesley De Neve, Benjamin Schrauwen and Rik Van de Walle Using topic models for Twitter hashtag recommendation 22nd international conference on World Wide Web companion, Proceedings, pp. 593-596 (2013)
  42. Tim Waegeman, Francis wyffels and Benjamin Schrauwen Towards a neural hierarchy of time scales for motor control LECTURE NOTES IN COMPUTER SCIENCE, Vol. 7426 pp. 146-155 (2012)
  43. Sander Dieleman and Benjamin Schrauwen Accelerating sparse restricted Boltzmann machine training using non-Gaussianity measures Deep Learning and Unsupervised Feature Learning, Proceedings, pp. 9 (2012)
  44. Pieter-Jan Kindermans, Francis wyffels, Ken Caluwaerts, Bert Guns and Benjamin Schrauwen Towards incorporation of hierarchical Bayesian models into evolution strategies for quadruped gait generation Proceedings of the 21st Belgian-Dutch Conference on Machine Learning, pp. 70-70 (2012)
  45. Philémon Brakel, Sander Dieleman and Benjamin Schrauwen Training restricted Boltzmann machines with multi-tempering : harnessing parallelization LECTURE NOTES IN COMPUTER SCIENCE, Vol. 7553(2) pp. 8 (2012)
  46. Martin Fiers, Kristof Vandoorne, Thomas Van Vaerenbergh, Joni Dambre, Benjamin Schrauwen and Peter Bienstman Optical information processing : advances in nanophotonic reservoir computing 14th International Conference on Transparant Optical Networks, Proceedings, pp. 3 (2012)
  47. Willem Wybo, Camille Colle, Pieter-Jan Kindermans and Benjamin Schrauwen Distance dependent extensions of the Chinese restaurant process Proceedings of the 21st Belgian-Dutch Conference on Machine Learning, pp. 6 (2012)
  48. Hannes Verschore, Pieter-Jan Kindermans, David Verstraeten and Benjamin Schrauwen Dynamic stopping improves the speed and accuracy of a P300 speller International Conference on Artificial Neural Networks, Proceedings, pp. (2012)
  49. Tim Waegeman, Francis wyffels and Benjamin Schrauwen A discrete/rhythmic pattern generating RNN Proceedings of the 20th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, pp. 567-572 (2012)
  50. Jens Nyman, Ken Caluwaerts, Tim Waegeman and Benjamin Schrauwen System modeling for active noise control with reservoir computing 9th IASTED International Conference on Signal Processing, Pattern Recognition, and Applications, Proceedings, pp. 162-167 (2012)
  51. Fionntán O'Donnell, Fabian Triefenbach, Jean-Pierre Martens and Benjamin Schrauwen Effects of architecture choices on sparse coding in speech recognition LECTURE NOTES IN COMPUTER SCIENCE, Vol. 7552 pp. 629-636 (2012)
  52. Philémon Brakel and Benjamin Schrauwen Energy-based temporal neural networks for imputing missing values LECTURE NOTES IN COMPUTER SCIENCE, Vol. 7664 pp. 575-582 (2012)
  53. Pieter-Jan Kindermans, Hannes Verschore, David Verstraeten and Benjamin Schrauwen A P300 BCI for the masses : prior information enables instant unsupervised spelling Advances in Neural Information Processing Systems 25, pp. 9 (2012)
  54. Thomas Van Vaerenbergh, Martin Fiers, Pauline Mechet, Thijs Spuesens, Rajesh Kumar, Geert Morthier, Kristof Vandoorne, Bendix Schneider, Benjamin Schrauwen, Joni Dambre and Peter Bienstman Self-pulsing and excitability mechanism in silicon-on-insulator microrings Asia Communications and Photonics Conference, Proceedings, pp. 1-3 (2012)
  55. Thomas Van Vaerenbergh, Martin Fiers, Pauline Mechet, Thijs Spuesens, Rajesh Kumar, Geert Morthier, Kristof Vandoorne, Bendix Schneider, Benjamin Schrauwen, Joni Dambre and Peter Bienstman Characterization of cascadable excitability in a silicon-on-insulator microring 17th Annual Symposium of the IEEE Photonics Benelux Chapter, Proceedings, pp. 119-122 (2012)
  56. Peter Bienstman, Kristof Vandoorne, Thomas Van Vaerenbergh, Martin Fiers, Bendix Schneider, David Verstraeten, Benjamin Schrauwen and Joni Dambre Reservoir computing on nanophotonic chips 2012 International symposium on Nonlinear Theory and its Applications, Proceedings, pp. 506-508 (2012)
  57. L Appeltant, MC Soriano, G Van der Sande, J Danckaert, S Massar, Joni Dambre, Benjamin Schrauwen, CR Mirasso and I Fischer Computing using delayed feedback systems: towards photonics PROCEEDINGS OF SPIE, THE INTERNATIONAL SOCIETY FOR OPTICAL ENGINEERING, Vol. 8434 pp. 1-4 (2012)
  58. Sander Dieleman and Benjamin Schrauwen Learning content-based metrics for music similarity 5th International Workshop on Machine Learning and Music, Abstracts, pp. 13-14 (2012)
  59. Sander Dieleman, Aäron van den Oord and Benjamin Schrauwen Parallel one-versus-rest SVM training on the GPU Big Learning : Algorithms, Systems, and Tools, Proceedings, pp. 5 (2012)
  60. Jonas Degrave, Francis wyffels, Tim Waegeman, Pieter-Jan Kindermans and Benjamin Schrauwen Applying morphological changes during the evolution of quadruped robots results in robust gaits Proceedings of the 21st Belgian-Dutch Conference on Machine Learning, pp. 63-63 (2012)
  61. 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)
  62. 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)
  63. 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)
  64. 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)
  65. 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)
  66. Kristof Vandoorne, Thomas Van Vaerenbergh, Martin Fiers, Peter Bienstman, David Verstraeten, Benjamin Schrauwen and Joni Dambre Photonic reservoir computing and information processing with coupled semiconductor optical amplifiers Fifth 'Rio De La Plata' workshop on laser dynamics and nonlinear photonics, pp. 3 (2011)
  67. 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)
  68. 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)
  69. 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)
  70. 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)
  71. 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)
  72. 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)
  73. 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)
  74. 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)
  75. 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)
  76. 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)
  77. David Verstraeten, Joni Dambre, Xavier Dutoit and Benjamin Schrauwen Memory versus non-linearity in reservoirs Neural Networks, International Joint Conference, Proceedings, pp. 8 (2010)
  78. 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)
  79. Michiel Hermans and Benjamin Schrauwen Memory in reservoirs for high dimensional input Neural Networks, International Joint Conference, Proceedings, pp. 7 (2010)
  80. 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)
  81. 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)
  82. 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)
  83. 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)
  84. 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)
  85. 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)
  86. 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)
  87. 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)
  88. David Verstraeten and Benjamin Schrauwen On the quantification of dynamics in Reservoir Computing LECTURE NOTES IN COMPUTER SCIENCE, Vol. 5768 pp. 985-994 (2009)
  89. 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)
  90. 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)
  91. 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)
  92. 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)
  93. Benjamin Schrauwen and Lars Buesing A hierarchy of recurrent networks for speech recognition NIPS, Proceedings, pp. 8 (2009)
  94. 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)
  95. 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)
  96. 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)
  97. 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)
  98. 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)
  99. 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)
  100. 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)
  101. 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)
  102. 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)
  103. 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)
  104. 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)
  105. 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)
  106. 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)
  107. 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)
  108. 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)
  109. 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)
  110. 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)
  111. 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)
  112. 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)
  113. 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)
  114. 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)
  115. 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)
  116. 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)
  117. 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)
  118. 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)
  119. 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)
  120. Michiel D`Haene A Framework for Parallel Event Driven Simulation of Large Spiking Neural Networks 7e FirW Doctoraatssymposium, pp. on CD (2006)
  121. 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)
  122. Eric Antonelo, Albert-Jan Baerveldt, Thorsteinn Rognvaldsson and Mauricio Figueiredo Modular Neural Network and Classical Reinforcement Learning for Autonomous Robot Navigation: Inhibiting Undesirable Behaviors Proceedings of the IEEE International Joint Conference on Neural Networks (IJCNN), pp. 1225-1232 (2006)
  123. 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)
  124. 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)
  125. 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)
  126. 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)
  127. 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)
  128. 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)
  129. David Verstraeten, Benjamin Schrauwen and Dirk Stroobandt Reservoir Computing with Stochastic Bitstream Neurons Proceedings of the 16th Annual ProRISC Workshop, pp. 454-459 (2005)
  130. David Verstraeten Stochastic Bitstream-based Reservoir Computing with Feedback Fifth FirW PhD Symposium, pp. On CD (2005)
  131. Eric Antonelo, Mauricio Figueiredo, Albert-Jan Baerlveldt and Rodrigo Calvo Intelligent autonomous navigation for mobile robots: spatial concept acquisition and object discrimination Proceedings of the 6th IEEE International Symposium on Computational Intelligence in Robotics and Automation (CIRA), pp. 553-557 (2005)
  132. Rodrigo Calvo, Mauricio Figueiredo and Eric Antonelo Evolutionary fuzzy system for architecture control in a constructive neural network Proceedings of the 6th IEEE International Symposium on Computational Intelligence in Robotics and Automation, pp. (2005)
  133. 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)
  134. 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)
  135. Benjamin Schrauwen and Michiel D`Haene Compact Digital Hardware Implementations of Spiking Neural Networks Sixth FirW PhD Symposium, pp. on CD (2005)
  136. 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)
  137. 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)
  138. Benjamin Schrauwen and Jan Van Campenhout Extending SpikeProp Proceedings of the International Joint Conference on Neural Networks, pp. 471-476 (2004)
  139. Eric Antonelo and Mauricio Figueiredo Autonomous intelligent systems applied to robot navigation: spatial concept acquisition and object discrimination Proceedings of the 2nd National Meeting of Intelligent Robotics (II ENRI) in the Congress of the Brazilian Computer Society (in Portuguese), pp. (2004)
  140. 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)
  141. B. Schrauwen Embedded Spiking Neural Network Doctoraatssymposium Faculteit Toegepaste Wetenschappen, pp. on CD-ROM (2002)
  142. Eric Antonelo and Mauricio Figueiredo Neural structures for modeling of biological declarative memory applied to robot autonomous navigation systems Proceedings of the 4th Forum of Informatics and Technology of Maring�� (FITEM) (in Portuguese), pp. (2002)

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  1. Iryna Korshunova, Pieter-Jan Kindermans, Jonas Degrave, Thibault Verhoeven, Benjamin Brinkmann and Joni Dambre Towards improved design and evaluation of epileptic seizure predictors IEEE Transactions on Biomedical Engineering, pp. (2017)
  2. Gabriel Urbain, Jonas Degrave, Joni Dambre and Francis wyffels Morphological Properties of Mass–Spring Networks for Optimal Locomotion Learning Frontiers in Neurorobotics, Vol. 11 pp. (2017)
  3. Lionel Pigou, Aäron van den Oord, Sander Dieleman, Mieke Van Herreweghe and Joni Dambre Beyond Temporal Pooling: Recurrence and Temporal Convolutions for Gesture Recognition in Video International Journal of Computer Vision, pp. 1-10 (2016)
  4. Pieter Savenberg Gaussian Processes kernels evalueren voor een geautomatiseerde investeringsstrategie Afstudeerwerk FEA, UGent, pp. (2014)
  5. Jeroen Burms Ongesuperviseerde Ondergrondclassificatie met de Tensegrityrobot aan de hand van Reservoir computing Afstudeerwerk FEA, UGent, pp. (2014)
  6. Jens Baetens Reinforcement Learning gecombineerd met Reservoir Computing in een Zwermrobot Systeem Afstudeerwerk FEA, UGent, pp. (2014)
  7. Mathias Tortelboom Ontwerp van een gepersonaliseerd query-by-example systeem voor muzieknummers Afstudeerwerk FEA, UGent, pp. (2014)
  8. Brecht Coghe het leren van hiërarchieën van tijdsschalen met diepe recurrente neurale netwerken Afstudeerwerk FEA, UGent, pp. (2014)
  9. Vincent Geerts Een geautomatiseerde beleggingsstrategie Afstudeerwerk FEA, UGent, pp. (2014)
  10. Jeroen De Smedt Adaptieve tegenstandermodellering voor no-limit Texas Hold'em poker met meerdere spelers Afstudeerwerk FEA, UGent, pp. (2014)
  11. Wouter Van der Gucht Ontwerp van een autonome indoor quadcopter Afstudeerwerk FEA, UGent, pp. (2014)
  12. Pieter-Jan Van de Maele Robottaken uitvoeren onder onzekerheid op het Oncilla platform Afstudeerwerk FEA, UGent, pp. (2014)
  13. Lionel Pigou Gebarentaalherkenning met convolutionele neurale netwerken Afstudeerwerk FEA, UGent, pp. (2014)
  14. Juan Pablo Carbajal, Ken Caluwaerts, Benjamin Schrauwen, David Verstraeten, Michiel Dhaene, Yuri Ivanenko, Cristiano Alessandro, Andrea d’Avella, Harold Roberto Martinez Salazar, Qian Zhao, Hidenobu Sumioka, Xiaoxiang Yu, Kohei Nakajima and Rolf Pfeifer In silico case studies of compliant robots : AMARSI deliverable 3.3 pp. (2014)
  15. Karel Vanhoorebeeck Overgang tussen wandelgangen op de vierpotige oncillarobot Afstudeerwerk FEA, UGent, pp. (2014)
  16. Erik Vandeputte Muziekaanbeveling op basis van luistergeschiedenis en akoestische modellen Afstudeerwerk FEA, UGent, pp. (2013)
  17. Frédérique Chesterman Gebeurtenisextractie uit Twitter d.m.v. Topic Modelling Afstudeerwerk FEA, UGent, pp. (2013)
  18. Tim Schittekatte Een geautomatiseerde investeringsstrategie Afstudeerwerk FEA, UGent, pp. (2013)
  19. Arne Van Damme De waarde van twitter als beursvoorspeller Afstudeerwerk FEA, UGent, pp. (2013)
  20. Tom Sercu Finite Element study of a nonlinear medium as a computational unit Afstudeerwerk FEA, UGent, pp. (2013)
  21. Michaël Burm Ontwikkelen van loopbewegingen voor Oncilla, een compliant vierpotig robotplatform Afstudeerwerk FEA, UGent, pp. (2013)
  22. Joery Vannieuwenhuyse Gebarentaal herkennen met de Microsoft Kinect Afstudeerwerk FEA, UGent, pp. (2013)
  23. Jonas Van Nieuwenberg Reinforcement Learning binnen een autonoom Zwermrobot Systeem met behulp van Reservoir Computing Afstudeerwerk FEA, UGent, pp. (2013)
  24. Robin Van Cauwenbergh Aanleren van terreinclassificatie voor een vierpotige robot Afstudeerwerk FEA, UGent, pp. (2013)
  25. Tomas Blancke Ontwerp van een zelflerend zwermrobot systeem met behulp van multi-agent Q-learning Afstudeerwerk FEA, UGent, pp. (2013)
  26. Michiel De Muynck Offline Modelleren van Tegenstanders in Texas Hold'em Poker Afstudeerwerk FEA, UGent, pp. (2013)
  27. Thibault Verhoeven Brain-Computer Interfaces with Machine Learning: an improved Paradigm for the P300 Speller Afstudeerwerk FEA, UGent, pp. (2013)
  28. Jonas Buyl Power demand prediction of a vehicle on a non-fixed route Afstudeerwerk FEA, UGent, pp. (2012)
  29. Hannes Verschore A Brain-Computer Interface combined with a language model: the requirements and benefits of a P300 speller Afstudeerwerk FEA, UGent, pp. (2012)
  30. Stefaan Ghysels Automatische annotering van beatboxing en drumloops Afstudeerwerk FEA, UGent, pp. (2012)
  31. Simon Philips Automating Science: Intelligent Searching of the Hypothesis Space Using Evolutionary Computation Afstudeerwerk FEA, UGent, pp. (2012)
  32. Jonas Degrave Biologisch geïnspireerde loopbeweging in robots Afstudeerwerk FEA, UGent, pp. (2012)
  33. Ewaut Dewinter Basisgedragingen voor de sturing van een omni-directionele robot in een dynamische omgeving Afstudeerwerk FEA, UGent, pp. (2012)
  34. Matthias Dossche Een vergelijkende studie over de controle van de geïnverteerde pendel Afstudeerwerk FEA, UGent, pp. (2012)
  35. Matthias Verhamme Voorspellen van financiële tijdsreeksen met behulp van Reservoir Computing Afstudeerwerk FEA, UGent, pp. (2012)
  36. Frederik Van Slycken Een variationeel Bayesiaans model voor Brain-Computer-Interfaces Afstudeerwerk FEA, UGent, pp. (2012)
  37. Jens Nyman Designing an Autonomous Exploration Architecture for an Indoor Quadcopter Afstudeerwerk FEA, UGent, pp. (2012)
  38. Roel Verschaeren Automatische herkenning van gebaren met de Microsoft Kinect Afstudeerwerk FEA, UGent, pp. (2012)
  39. Thomas Weyn Het gebruik en de optimalisatie van een massa-veer-dempersysteem als fysiek reservoir Afstudeerwerk FEA, UGent, pp. (2012)
  40. Stijn Taelman Een systeem voor semantische representatie van een binnenshuis omgeving met een omni-directionele robot Afstudeerwerk FEA, UGent, pp. (2012)
  41. Bram Vandewalle Valdetectie met Machine Learning Afstudeerwerk FEA, UGent, pp. (2012)
  42. Maxime Goossens Hedonische waardebepaling van goederen Afstudeerwerk FEA, UGent, pp. (2012)
  43. Neri Van Otten Comparative Study of Controllers for the Energy Distribution in an Electric Vehicle Afstudeerwerk FEA, UGent, pp. (2012)
  44. Francis wyffels, Tim Waegeman, Benjamin Schrauwen and Herbert Jaeger Technical report on hierarchical reservoir computing architectures pp. (2012)
  45. Joeri Ruyssinck Stabiele bewegingsgeneratie voor humanoide robots met Reservoir Computing Afstudeerwerk FEA, UGent, pp. (2011)
  46. Stefaan Ghysels Automatische annotering van beatboxing en drumloops Afstudeerwerk FEA, UGent, pp. (2011)
  47. Bert Guns Sneller nieuwe wandelgangen voor vierpotige robots genereren op basis van voorkennis Afstudeerwerk FEA, UGent, pp. (2011)
  48. Sebastian Vercruysse Adaptieve Common Spatial Patterns voor de classificiatie van ingebeelde bewegingen Afstudeerwerk FEA, UGent, pp. (2011)
  49. Tijs Planckaert Een Brain Machine Interface op basis van autoregressieve benaderingen Afstudeerwerk FEA, UGent, pp. (2011)
  50. Ewout Van de Capelle Automatische kleverdetectie in een continu gietproces van staal door middel van Machine Learning Afstudeerwerk FEA, UGent, pp. (2011)
  51. Aäron Van den Oord Spatio-spectrale filters in brain-computer interfaces Afstudeerwerk FEA, UGent, pp. (2011)
  52. Enric Junqué de Fortuny Bepalen van een optimale draaistrategie bij vierpotige robots Afstudeerwerk FEA, UGent, pp. (2011)
  53. Jens Timmerman Reservoir Computing voor de lokalisatie van tikken op een oppervlak Afstudeerwerk FEA, UGent, pp. (2011)
  54. Thomas Meire Analyse van verschillende recurrente neurale netwerk technieken voor spraakherkenning Afstudeerwerk FEA, UGent, pp. (2011)
  55. Daan De Witte Precieze controle van een omni-directionele robot Afstudeerwerk FEA, UGent, pp. (2011)
  56. Pieter-Jan Kindermans Brain-Computer Interfaces met Reservoir Computing Afstudeerwerk FEA, UGent, pp. (2010)
  57. Ken Caluwaerts Design of a biologically inspired navigation system for the Psikharpax rodent robot Afstudeerwerk FEA, UGent, pp. (2010)
  58. Tim Leysen De detectie van epileptische aanvallen met Reservoir Computing op basis van accelerometrie Afstudeerwerk FEA, UGent, pp. (2010)
  59. Dieter De Paepe Brain-Computer Interfaces met Conditional Restricted Boltzmann Machines Afstudeerwerk FEA, UGent, pp. (2010)
  60. Yves Yde Hardware-ontwerp van een gepulst neuraal netwerk op FPGA Afstudeerwerk FEA, UGent, pp. (2010)
  61. Gertjan Van Droogenbroeck Invloed van decompositiemethoden bij het voorspellen van tijdsreeksen met Reservoir Computing Afstudeerwerk FEA, UGent, pp. (2010)
  62. Jan Temmerman Een Brain-Computer Interface met Least Squares Support Vector Machines: Ontwerp van een P300 woordenspeller Afstudeerwerk FEA, UGent, pp. (2010)
  63. Nausikaä Dewinter Reinforcement learning voor het optimaliseren van de gang van een vierpotige robot Afstudeerwerk FEA, UGent, pp. (2010)
  64. Mostafa Ajallooeian, Sébastien Gay, Auke Ijspeert, Mohammad Khansari-Zadeh, Seungsu Kim, Aude Billard, Elmar Rückert, Gerhard Neumann, Tim Waegeman, Francis wyffels, Benjamin Schrauwen, Andre Lemme, Felix Reinhart, Matthias Rolf, Jochen Steil, Juan Pablo Carbajal, Hidenobu Sumioka, Qian Zhao and Naveen Kuppuswamy Comparative evaluation of approaches in T.4.1-4.3 and working definition of adaptive module pp. (2010)
  65. Evelyne Markey Biologisch geinspireerde leerprocessen voor gepulste neurale netwerken Afstudeerwerk FEA, UGent, pp. (2010)
  66. Tim Waegeman Modelleren van gedragingen met reservoir computing voor autonome mobiele robots. Afstudeerwerk FEA, UGent, pp. (2009)
  67. Sven Van Geyt Ontwerp van een centrale patroongenerator met behulp van reservoir computing. Afstudeerwerk FEA, UGent, pp. (2009)
  68. Dries Van Puymbroeck Robotnavigatie en lokalisatie met Reservoir Computing Afstudeerwerk FEA, UGent, pp. (2009)
  69. Benjamin Schrauwen Towards Applicable Spiking Neutral Networks. pp. (2008)
  70. Michiel Hermans Biologisch ge��nspireerde aspecten in gepulste neurale netwerken Afstudeerwerk FTW, UGent, pp. (2008)
  71. Pieter Buteneers De detectie van epileptische aanvallen met Reservoir Computing Afstudeerwerk FTW, UGent, pp. (2008)
  72. Benjamin Schrauwen Towards applicable spiking neural networks Doctoraatsproefschrift Faculteit Ingenieurswetenschappen, Universiteit Gent, pp. (2008)
  73. David Verstraeten An experimental comparison of reservoir computing methods Invited talk at NIPS 2007 Workshop on Liquid State Machines and Echo State Networks, pp. (2006)
  74. Benjamin Schrauwen On implementing reservoir computing Invited talk at the NIPS 2006 workshop on Echo State Networks and Liquid State Machines, pp. (2006)
  75. Marion Wardermann Intrinsic Plasticity in Random Neural Networks Master thesis, pp. (2006)
  76. David Verstraeten Speech recognition using reservoir computing Invited talk : Paris workshop on New Ideas in Hearing, pp. (2006)
  77. Eric Antonelo A Neural Reinforcement Learning Approach for Behavior Acquisition in Intelligent Autonomous Systems Master thesis, Halmstad University, pp. (2006)
  78. D. Verstraeten Een studie van de vloeibare toestandsmachine: een woordherkenner Afstudeerwerk FTW, UGent, pp. (2004)
  79. Joni Dambre Predictie van interconnectie-eigenschappen van digitale schakelingen voor de exploratie van ontwerpkeuzes en technologie pp. (2003)