BSA, a fast and accurate spike train encoding scheme. - Benjamin Schrauwen; Jan Van Campenhout (IJCNN, 2003)

Extending SpikeProp. - Benjamin Schrauwen; Jan Van Campenhout (IJCNN, 2004)

A Hardware-Friendly Wavelet Entropy Codec for Scalable Video. - Hendrik Eeckhaut; Harald Devos; Benjamin Schrauwen; Mark Christiaens; Dirk Stroobandt (DATE, 2005)

Isolated word recognition using a Liquid State Machine. - David Verstraeten; Benjamin Schrauwen; Dirk Stroobandt (ESANN, 2005)

Isolated word recognition with the Liquid State Machine: a case study. - David Verstraeten; Benjamin Schrauwen; Dirk Stroobandt; Jan Van Campenhout (Inf. Process. Lett., 2005)

Parallel hardware implementation of a broad class of spiking neurons using serial arithmetic. - Benjamin Schrauwen; Jan M. Van Campenhout (ESANN, 2006)

Accelerating Event Based Simulation for Multi-synapse Spiking Neural Networks. - Michiel D'Haene; Benjamin Schrauwen; Dirk Stroobandt (ICANN (1), 2006)

Backpropagation for Population-Temporal Coded Spiking Neural Networks. - Benjamin Schrauwen; Jan M. Van Campenhout (IJCNN, 2006)

Reservoir-based techniques for speech recognition. - David Verstraeten; Benjamin Schrauwen; Dirk Stroobandt (IJCNN, 2006)

Bat echolocation modelling using spike kernels with Support Vector Regression. - Bertrand Fontaine; Herbert Peremans; Benjamin Schrauwen (ESANN, 2007)

An overview of reservoir computing: theory, applications and implementations. - Benjamin Schrauwen; David Verstraeten; Jan M. Van Campenhout (ESANN, 2007)

Adapting reservoir states to get Gaussian distributions. - David Verstraeten; Benjamin Schrauwen; Dirk Stroobandt (ESANN, 2007)

Event Detection and Localization in Mobile Robot Navigation Using Reservoir Computing. - Eric A. Antonelo; Benjamin Schrauwen; Xavier Dutoit; Dirk Stroobandt; Marnix Nuttin (ICANN (2), 2007)

The Introduction of Time-Scales in Reservoir Computing, Applied to Isolated Digits Recognition. - Benjamin Schrauwen; Jeroen Defour; David Verstraeten; Jan M. Van Campenhout (ICANN (1), 2007)

Compact hardware for real-time speech recognition using a Liquid State Machine. - Benjamin Schrauwen; Michiel D'Haene; David Verstraeten; Jan M. Van Campenhout (IJCNN, 2007)

Linking non-binned spike train kernels to several existing spike train metrics. - Benjamin Schrauwen; Jan Van Campenhout (Neurocomputing, 2007)

An experimental unification of reservoir computing methods. - David Verstraeten; Benjamin Schrauwen; Michiel D'Haene; Dirk Stroobandt (Neural Networks, 2007)

Generative Modeling of Autonomous Robots and their Environments using Reservoir Computing. - Eric A. Antonelo; Benjamin Schrauwen; Jan M. Van Campenhout (Neural Process. Lett., 2007)

Pruning and Regularisation in Reservoir Computing: a First Insight. - Xavier Dutoit; Benjamin Schrauwen; Jan M. Van Campenhout; Dirk Stroobandt; Hendrik Van Brussel; Marnix Nuttin (ESANN, 2008)

Stable Output Feedback in Reservoir Computing Using Ridge Regression. - Francis Wyffels; Benjamin Schrauwen; Dirk Stroobandt (ICANN (1), 2008)

Real-Time Epileptic Seizure Detection on Intra-cranial Rat Data Using Reservoir Computing. - Pieter Buteneers; Benjamin Schrauwen; David Verstraeten; Dirk Stroobandt (ICONIP (1), 2008)

Mobile robot control in the road sign problem using Reservoir Computing networks. - Eric A. Antonelo; Benjamin Schrauwen; Dirk Stroobandt (ICRA, 2008)

Band-pass Reservoir Computing. - Francis Wyffels; Benjamin Schrauwen; David Verstraeten; Dirk Stroobandt (IJCNN, 2008)

On Computational Power and the Order-Chaos Phase Transition in Reservoir Computing. - Benjamin Schrauwen; Lars Buesing; Robert Legenstein (NIPS, 2008)

Photonic Reservoir Computing with Coupled Semiconductor Optical Amplifiers. - Kristof Vandoorne; Wouter Dierckx; Benjamin Schrauwen; David Verstraeten; Peter Bienstman; Roel Baets; Jan M. Van Campenhout (OSC, 2008)

Imitation Learning of an Intelligent Navigation System for Mobile Robots Using Reservoir Computing. - Eric A. Antonelo; Benjamin Schrauwen; Dirk Stroobandt (SBRN, 2008)

Modeling multiple autonomous robot behaviors and behavior switching with a single reservoir computing network. - Eric Aislan Antonelo; Benjamin Schrauwen; Dirk Stroobandt (SMC, 2008)

Improving reservoirs using intrinsic plasticity. - Benjamin Schrauwen; Marion Wardermann; David Verstraeten; Jochen J. Steil; Dirk Stroobandt (Neurocomputing, 2008)

Event detection and localization for small mobile robots using reservoir computing. - Eric A. Antonelo; Benjamin Schrauwen; Dirk Stroobandt (Neural Networks, 2008)

Compact hardware liquid state machines on FPGA for real-time speech recognition. - Benjamin Schrauwen; Michiel D'Haene; David Verstraeten; Jan M. Van Campenhout (Neural Networks, 2008)

Modular reservoir computing networks for imitation learning of multiple robot behaviors. - Tim Waegeman; Eric A. Antonelo; Francis Wyffels; Benjamin Schrauwen (CIRA, 2009)

Non-markovian process modelling with Echo State Networks. - Xavier Dutoit; Benjamin Schrauwen; Hendrik Van Brussel (ESANN, 2009)

Recent advances in efficient learning of recurrent networks. - Barbara Hammer; Benjamin Schrauwen; Jochen J. Steil (ESANN, 2009)

Unsupervised Learning in Reservoir Computing: Modeling Hippocampal Place Cells for Small Mobile Robots. - Eric A. Antonelo; Benjamin Schrauwen (ICANN (1), 2009)

On the Quantification of Dynamics in Reservoir Computing. - David Verstraeten; Benjamin Schrauwen (ICANN (1), 2009)

Towards Autonomous Self-localization of Small Mobile Robots using Reservoir Computing and Slow Feature Analysis. - Eric A. Antonelo; Benjamin Schrauwen (SMC, 2009)

Pruning and regularization in reservoir computing. - Xavier Dutoit; Benjamin Schrauwen; Jan Van Campenhout; Dirk Stroobandt; Hendrik Van Brussel; Marnix Nuttin (Neurocomputing, 2009)

Accelerating Event-Driven Simulation of Spiking Neurons with Multiple Synaptic Time Constants. - Michiel D'Haene; Benjamin Schrauwen; Jan Van Campenhout; Dirk Stroobandt (Neural Comput., 2009)

Extending reservoir computing with random static projections: a hybrid between extreme learning and RC. - John B. Butcher; David Verstraeten; Benjamin Schrauwen; Charles Day; Peter Haycock (ESANN, 2010)

Machine Learning Techniques based on Random Projections. - Yoan Miche; Benjamin Schrauwen; Amaury Lendasse (ESANN, 2010)

Supervised learning of internal models for autonomous goal-oriented robot navigation using Reservoir Computing. - Eric A. Antonelo; Benjamin Schrauwen (ICRA, 2010)

Memory in reservoirs for high dimensional input. - Michiel Hermans; Benjamin Schrauwen (IJCNN, 2010)

Memory versus non-linearity in reservoirs. - David Verstraeten; Joni Dambre; Xavier Dutoit; Benjamin Schrauwen (IJCNN, 2010)

One step Backpropagation Through Time for learning input mapping in reservoir computing applied to speech recognition. - Michiel Hermans; Benjamin Schrauwen (ISCAS, 2010)

Phoneme Recognition with Large Hierarchical Reservoirs. - Fabian Triefenbach; Azarakhsh Jalalvand; Benjamin Schrauwen; Jean-Pierre Martens (NIPS, 2010)

A comparative study of Reservoir Computing strategies for monthly time series prediction. - Francis Wyffels; Benjamin Schrauwen (Neurocomputing, 2010)

Connectivity, Dynamics, and Memory in Reservoir Computing with Binary and Analog Neurons. - Lars Büsing; Benjamin Schrauwen; Robert Legenstein (Neural Comput., 2010)

Fast and Exact Simulation Methods Applied on a Broad Range of Neuron Models. - Michiel D'Haene; Benjamin Schrauwen (Neural Comput., 2010)

Memory in linear recurrent neural networks in continuous time. - Michiel Hermans; Benjamin Schrauwen (Neural Networks, 2010)

Towards Learning Inverse Kinematics with a Neural Network Based Tracking Controller. - Tim Waegeman; Benjamin Schrauwen (ICONIP (3), 2011)

Audio-based Music Classification with a Pretrained Convolutional Network. - Sander Dieleman; Philemon Brakel; Benjamin Schrauwen (ISMIR, 2011)

Automatic detection of epileptic seizures on the intra-cranial electroencephalogram of rats using reservoir computing. - Pieter Buteneers; David Verstraeten; Pieter van Mierlo; Tine Wyckhuys; Dirk Stroobandt; Robrecht Raedt; Hans Hallez; Benjamin Schrauwen (Artif. Intell. Medicine, 2011)

Optoelectronic Reservoir Computing - Yvan Paquot; François Duport; Anteo Smerieri; Joni Dambre; Benjamin Schrauwen; Marc Haelterman; Serge Massar (CoRR, 2011)

Parallel Reservoir Computing Using Optical Amplifiers. - Kristof Vandoorne; Joni Dambre; David Verstraeten; Benjamin Schrauwen; Peter Bienstman (IEEE Trans. Neural Networks, 2011)

A discrete/rhythmic pattern generating RNN. - Tim Waegeman; Francis Wyffels; Benjamin Schrauwen (ESANN, 2012)

Training Restricted Boltzmann Machines with Multi-tempering: Harnessing Parallelization. - Philemon Brakel; Sander Dieleman; Benjamin Schrauwen (ICANN (2), 2012)

Infinite Sparse Threshold Unit Networks. - Michiel Hermans; Benjamin Schrauwen (ICANN (1), 2012)

Effects of Architecture Choices on Sparse Coding in Speech Recognition. - Fionntán O'Donnell; Fabian Triefenbach; Jean-Pierre Martens; Benjamin Schrauwen (ICANN (1), 2012)

Dynamic Stopping Improves the Speed and Accuracy of a P300 Speller. - Hannes Verschore; Pieter-Jan Kindermans; David Verstraeten; Benjamin Schrauwen (ICANN (1), 2012)

Energy-Based Temporal Neural Networks for Imputing Missing Values. - Philemon Brakel; Benjamin Schrauwen (ICONIP (2), 2012)

A P300 BCI for the Masses: Prior Information Enables Instant Unsupervised Spelling. - Pieter-Jan Kindermans; Hannes Verschore; David Verstraeten; Benjamin Schrauwen (NIPS, 2012)

Analog readout for optical reservoir computers. - Anteo Smerieri; François Duport; Yvan Paquot; Benjamin Schrauwen; Marc Haelterman; Serge Massar (NIPS, 2012)

Towards a Neural Hierarchy of Time Scales for Motor Control. - Tim Waegeman; Francis Wyffels; Benjamin Schrauwen (SAB, 2012)

Oger: modular learning architectures for large-scale sequential processing. - David Verstraeten; Benjamin Schrauwen; Sander Dieleman; Philemon Brakel; Pieter Buteneers; Dejan Pecevski (J. Mach. Learn. Res., 2012)

Reservoir Computing Trends. - Mantas Lukosevicius; Herbert Jaeger; Benjamin Schrauwen (Künstliche Intell., 2012)

Recurrent Kernel Machines: Computing with Infinite Echo State Networks. - Michiel Hermans; Benjamin Schrauwen (Neural Comput., 2012)

Learning slow features with reservoir computing for biologically-inspired robot localization. - Eric A. Antonelo; Benjamin Schrauwen (Neural Networks, 2012)

Feedback Control by Online Learning an Inverse Model. - Tim Waegeman; Francis Wyffels; Benjamin Schrauwen (IEEE Trans. Neural Networks Learn. Syst., 2012)

Content feature based bit rate modelling for scalable video coding using machine learning algorithms. - Robin Bailleul; Jan De Cock; Peter Lambert; Rik Van de Walle; Benjamin Schrauwen (ICME Workshops, 2013)

Terrain Classification for a Quadruped Robot. - Jonas Degrave; Robin Van Cauwenbergh; Francis Wyffels; Tim Waegeman; Benjamin Schrauwen (ICMLA (1), 2013)

The spectral radius remains a valid indicator of the Echo state property for large reservoirs. - Ken Caluwaerts; Francis Wyffels; Sander Dieleman; Benjamin Schrauwen (IJCNN, 2013)

Bidirectional truncated recurrent neural networks for efficient speech denoising. - Philemon Brakel; Dirk Stroobandt; Benjamin Schrauwen (INTERSPEECH, 2013)

Recent advances in optical Reservoir Computing. - François Duport; Anteo Smerieri; Yvan Paquot; Bendix Schneider; Joni Dambre; Benjamin Schrauwen; Marc Haelterman; Serge Massar (ISCAS, 2013)

Multiscale Approaches To Music Audio Feature Learning. - Sander Dieleman; Benjamin Schrauwen (ISMIR, 2013)

Training and Analysing Deep Recurrent Neural Networks. - Michiel Hermans; Benjamin Schrauwen (NIPS, 2013)

Deep content-based music recommendation. - Aäron van den Oord; Sander Dieleman; Benjamin Schrauwen (NIPS, 2013)

Comparing trotting and turning strategies on the quadrupedal oncilla robot. - Jonas Degrave; Michael Burm; Tim Waegeman; Francis Wyffels; Benjamin Schrauwen (ROBIO, 2013)

Using topic models for Twitter hashtag recommendation. - Fréderic Godin; Viktor Slavkovikj; Wesley De Neve; Benjamin Schrauwen; Rik Van de Walle (WWW (Companion Volume), 2013)

Locomotion Without a Brain: Physical Reservoir Computing in Tensegrity Structures. - Ken Caluwaerts; Michiel D'Haene; David Verstraeten; Benjamin Schrauwen (Artif. Life, 2013)

Time series classification for the prediction of dialysis in critically ill patients using echo statenetworks. - Femke Ongenae; Stijn Van Looy; David Verstraeten; Thierry Verplancke; Dominique Benoit; Filip De Turck; Tom Dhaene; Benjamin Schrauwen; Johan Decruyenaere (Eng. Appl. Artif. Intell., 2013)

MACOP modular architecture with control primitives. - Tim Waegeman; Michiel Hermans; Benjamin Schrauwen (Frontiers Comput. Neurosci., 2013)

Training energy-based models for time-series imputation. - Philemon Brakel; Dirk Stroobandt; Benjamin Schrauwen (J. Mach. Learn. Res., 2013)

Reservoir computing and extreme learning machines for non-linear time-series data analysis. - John B. Butcher; David Verstraeten; Benjamin Schrauwen; Charles Day; Peter Haycock (Neural Networks, 2013)

Event management for large scale event-driven digital hardware spiking neural networks. - Louis-Charles Caron; Michiel D'Haene; Frédéric Mailhot 001; Benjamin Schrauwen; Jean Rouat (Neural Networks, 2013)

Optimized Parameter Search for Large Datasets of the Regularization Parameter and Feature Selection for Ridge Regression. - Pieter Buteneers; Ken Caluwaerts; Joni Dambre; David Verstraeten; Benjamin Schrauwen (Neural Process. Lett., 2013)

A Unified Probabilistic Approach to Improve Spelling in an Event-Related Potential-Based Brain-Computer Interface. - Pieter-Jan Kindermans; Hannes Verschore; Benjamin Schrauwen (IEEE Trans. Biomed. Eng., 2013)

Sign Language Recognition Using Convolutional Neural Networks. - Lionel Pigou; Sander Dieleman; Pieter-Jan Kindermans; Benjamin Schrauwen (ECCV Workshops (1), 2014)

End-to-end learning for music audio. - Sander Dieleman; Benjamin Schrauwen (ICASSP, 2014)

Transfer Learning by Supervised Pre-training for Audio-based Music Classification. - Aäron van den Oord; Sander Dieleman; Benjamin Schrauwen (ISMIR, 2014)

Factoring Variations in Natural Images with Deep Gaussian Mixture Models. - Aäron van den Oord; Benjamin Schrauwen (NIPS, 2014)

Frequency modulation of large oscillatory neural networks. - Francis Wyffels; Jiwen Li; Tim Waegeman; Benjamin Schrauwen; Herbert Jaeger (Biol. Cybern., 2014)

Defect Detection in Reinforced Concrete Using Random Neural Architectures. - John B. Butcher; C. R. Day; J. C. Austin; Peter Haycock; David Verstraeten; Benjamin Schrauwen (Comput. Aided Civ. Infrastructure Eng., 2014)

The student-t mixture as a natural image patch prior with application to image compression. - Aäron van den Oord; Benjamin Schrauwen (J. Mach. Learn. Res., 2014)

Toward Unified Hybrid Simulation Techniques for Spiking Neural Networks. - Michiel D'Haene; Michiel Hermans; Benjamin Schrauwen (Neural Comput., 2014)

Nanophotonic Reservoir Computing With Photonic Crystal Cavities to Generate Periodic Patterns. - Martin Andre Agnes Fiers; Thomas Van Vaerenbergh; Francis Wyffels; David Verstraeten; Benjamin Schrauwen; Joni Dambre; Peter Bienstman (IEEE Trans. Neural Networks Learn. Syst., 2014)

Memristor Models for Machine Learning. - Juan Pablo Carbajal; Joni Dambre; Michiel Hermans; Benjamin Schrauwen (Neural Comput., 2015)

On Learning Navigation Behaviors for Small Mobile Robots With Reservoir Computing Architectures. - Eric Aislan Antonelo; Benjamin Schrauwen (IEEE Trans. Neural Networks Learn. Syst., 2015)

Oncilla robot: a versatile open-source quadruped research robot with compliant pantograph legs. - Alexander Spröwitz; Alexandre Tuleu; Mostafa Ajaoolleian; Massimo Vespignani; Rico Moeckel; Peter Eckert; Michiel D'Haene; Jonas Degrave; Arne Nordmann; Benjamin Schrauwen; Jochen J. Steil; Auke Jan Ijspeert (CoRR, 2018)

Oncilla Robot: A Versatile Open-Source Quadruped Research Robot With Compliant Pantograph Legs. - Alexander Spröwitz; Alexandre Tuleu; Mostafa Ajallooeian; Massimo Vespignani; Rico Möckel; Peter Eckert; Michiel D'Haene; Jonas Degrave; Arne Nordmann; Benjamin Schrauwen; Jochen J. Steil; Auke Jan Ijspeert (Frontiers Robotics AI, 2018)