Benjamin Schrauwen

发表

Parallel hardware implementation of a broad class of spiking neurons using serial arithmetic

Benjamin Schrauwen, Jan M. Van Campenhout, J. V. Campenhout, 2006, ESANN.

Learning a piecewise linear transform coding scheme for images

Benjamin Schrauwen, Aäron van den Oord, Sander Dieleman, 2013, International Conference on Graphic and Image Processing.

Isolated word recognition using a Liquid State Machine

Benjamin Schrauwen, Dirk Stroobandt, David Verstraeten, 2005, ESANN.

Accelerating Event Based Simulation for Multi-synapse Spiking Neural Networks

Benjamin Schrauwen, Dirk Stroobandt, Michiel D'Haene, 2006, ICANN.

Recent advances in optical Reservoir Computing

Benjamin Schrauwen, Yvan Paquot, Joni Dambre, 2013, 2013 IEEE International Symposium on Circuits and Systems (ISCAS2013).

Accelerating Event-Driven Simulation of Spiking Neurons with Multiple Synaptic Time Constants

Benjamin Schrauwen, Jan M. Van Campenhout, Dirk Stroobandt, 2009, Neural Computation.

Nanophotonic Reservoir Computing With Photonic Crystal Cavities to Generate Periodic Patterns

Benjamin Schrauwen, David Verstraeten, Joni Dambre, 2014, IEEE Transactions on Neural Networks and Learning Systems.

Memristor Models for Machine Learning

Benjamin Schrauwen, Michiel Hermans, Joni Dambre, 2014, Neural Computation.

A comparative study of Reservoir Computing strategies for monthly time series prediction

Benjamin Schrauwen, Francis Wyffels, B. Schrauwen, 2010, Neurocomputing.

Unsupervised Learning in Reservoir Computing: Modeling Hippocampal Place Cells for Small Mobile Robots

Benjamin Schrauwen, Eric A. Antonelo, B. Schrauwen, 2009, ICANN.

Parallel Reservoir Computing Using Optical Amplifiers

Benjamin Schrauwen, David Verstraeten, Joni Dambre, 2011, IEEE Transactions on Neural Networks.

Ever considered SystemC

Benjamin Schrauwen, Dirk Stroobandt, Harald Devos, 2004 .

Training and Analysing Deep Recurrent Neural Networks

Benjamin Schrauwen, Michiel Hermans, B. Schrauwen, 2013, NIPS.

On Learning Navigation Behaviors for Small Mobile Robots With Reservoir Computing Architectures

Benjamin Schrauwen, Eric A. Antonelo, B. Schrauwen, 2015, IEEE Transactions on Neural Networks and Learning Systems.

MACOP modular architecture with control primitives

Benjamin Schrauwen, Michiel Hermans, Tim Waegeman, 2013, Front. Comput. Neurosci..

Characterization of cascadable excitability in a silicon-on-insulator microring

Geert Morthier, Benjamin Schrauwen, Rajesh Kumar, 2012 .

Photonic reservoir computing and information processing with coupled semiconductor optical amplifiers

Benjamin Schrauwen, David Verstraeten, Joni Dambre, 2011, 2011 Fifth Rio De La Plata Workshop on Laser Dynamics and Nonlinear Photonics.

Machine Learning Techniques based on Random Projections

Amaury Lendasse, Benjamin Schrauwen, Yoan Miché, 2010, ESANN.

Photonic reservoir computing as a new paradigm for optical information processing

Benjamin Schrauwen, David Verstraeten, Joni Dambre, 2010 .

Using silicon nanophotonics for digital and analog signal processing with reservoir computing

Benjamin Schrauwen, Joni Dambre, Bendix Schneider, 2013 .

Training energy-based models for time-series imputation

Benjamin Schrauwen, Dirk Stroobandt, Philemon Brakel, 2013, J. Mach. Learn. Res..

The spectral radius remains a valid indicator of the Echo state property for large reservoirs

Benjamin Schrauwen, Sander Dieleman, Francis Wyffels, 2013, The 2013 International Joint Conference on Neural Networks (IJCNN).

Mobile robot control in the road sign problem using Reservoir Computing networks

Benjamin Schrauwen, Dirk Stroobandt, Eric A. Antonelo, 2008, 2008 IEEE International Conference on Robotics and Automation.

Transfer Learning by Supervised Pre-training for Audio-based Music Classification

Benjamin Schrauwen, Sander Dieleman, Aäron van den Oord, 2014, ISMIR.

Event management for large scale event-driven digital hardware spiking neural networks

Louis-Charles Caron, Jean Rouat, Benjamin Schrauwen, 2013, Neural Networks.

Toward optical signal processing using photonic reservoir computing.

Benjamin Schrauwen, David Verstraeten, Roel Baets, 2008, Optics express.

Recurrent Kernel Machines: Computing with Infinite Echo State Networks

Benjamin Schrauwen, Michiel Hermans, B. Schrauwen, 2012, Neural Computation.

An overview of reservoir computing: theory, applications and implementations

Benjamin Schrauwen, Jan M. Van Campenhout, David Verstraeten, 2007, ESANN.

Zero Training for BCI – Reality for BCI Systems Based on Event-Related Potentials

Klaus-Robert Müller, Benjamin Schrauwen, Michael Tangermann, 2013, Biomedizinische Technik. Biomedical engineering.

Comparative evaluation of approaches in T.4.1-4.3 and working definition of adaptive module

Jochen J. Steil, Auke Jan Ijspeert, Francis wyffels, 2010 .

Information Processing Capacity of

Benjamin Schrauwen, David Verstraeten, Joni Dambre, 2012 .

Learning slow features with reservoir computing for biologically-inspired robot localization

Benjamin Schrauwen, Eric A. Antonelo, B. Schrauwen, 2012, Neural Networks.

A discrete/rhythmic pattern generating RNN

Benjamin Schrauwen, Francis Wyffels, Tim Waegeman, 2012, ESANN.

Terrain Classification for a Quadruped Robot

Benjamin Schrauwen, Jonas Degrave, Francis Wyffels, 2013, 2013 12th International Conference on Machine Learning and Applications.

Content feature based bit rate modelling for scalable video coding using machine learning algorithms

Peter Lambert, Rik Van de Walle, Benjamin Schrauwen, 2013, 2013 IEEE International Conference on Multimedia and Expo Workshops (ICMEW).

Automatic detection of epileptic seizures on the intra-cranial electroencephalogram of rats using reservoir computing

Hans Hallez, Benjamin Schrauwen, Dirk Stroobandt, 2011, Artif. Intell. Medicine.

Reservoir Computing Trends

Benjamin Schrauwen, Herbert Jaeger, Mantas Lukosevicius, 2012, KI - Künstliche Intelligenz.

Switching characters between stimuli improves P300 speller accuracy

Benjamin Schrauwen, Pieter-Jan Kindermans, Thibault Verhoeven, 2014 .

Design and control of compliant tensegrity robots through simulation and hardware validation

Benjamin Schrauwen, Andrew P. Sabelhaus, Vytas SunSpiral, 2014, Journal of The Royal Society Interface.

Dynamic Stopping Improves the Speed and Accuracy of a P300 Speller

Benjamin Schrauwen, David Verstraeten, Pieter-Jan Kindermans, 2012, ICANN.

Integrating dynamic stopping, transfer learning and language models in an adaptive zero-training ERP speller

Klaus-Robert Müller, Benjamin Schrauwen, Michael Tangermann, 2014, Journal of neural engineering.

Phoneme Recognition with Large Hierarchical Reservoirs

Benjamin Schrauwen, Jean-Pierre Martens, Azarakhsh Jalalvand, 2010, NIPS.

Event Detection and Localization in Mobile Robot Navigation Using Reservoir Computing

Benjamin Schrauwen, Dirk Stroobandt, Marnix Nuttin, 2007, ICANN.

Parallel one-versus-rest SVM training on the GPU

Benjamin Schrauwen, Sander Dieleman, Aäron van den Oord, 2012, NIPS 2012.

The student-t mixture as a natural image patch prior with application to image compression

Benjamin Schrauwen, Aäron van den Oord, B. Schrauwen, 2014, J. Mach. Learn. Res..

In silico case studies of compliant robots: AMARSI deliverable 3.3

Benjamin Schrauwen, Kohei Nakajima, Qian Zhao, 2014 .

Advances in photonic reservoir computing on an integrated platform

Benjamin Schrauwen, David Verstraeten, Joni Dambre, 2011, 2011 13th International Conference on Transparent Optical Networks.

Bat echolocation modelling using spike kernels with Support Vector Regression

Herbert Peremans, Benjamin Schrauwen, Bertrand Fontaine, 2007, ESANN.

Energy-Based Temporal Neural Networks for Imputing Missing Values

Benjamin Schrauwen, Philemon Brakel, 2012, ICONIP.

On implementing reservoir computing

Benjamin Schrauwen, 2006, NIPS 2006.

On the Quantification of Dynamics in Reservoir Computing

Benjamin Schrauwen, David Verstraeten, B. Schrauwen, 2009, ICANN.

An unsupervised plug and play BCI with consumer grade hardware

Benjamin Schrauwen, Pieter-Jan Kindermans, Thibault Verhoeven, 2014 .

A P300 BCI for the Masses: Prior Information Enables Instant Unsupervised Spelling

Benjamin Schrauwen, David Verstraeten, Pieter-Jan Kindermans, 2012, NIPS.

Connectivity, Dynamics, and Memory in Reservoir Computing with Binary and Analog Neurons

Benjamin Schrauwen, Robert A. Legenstein, Lars Buesing, 2010, Neural Computation.

Analog readout for optical reservoir computers

Benjamin Schrauwen, Yvan Paquot, Serge Massar, 2012, NIPS.

Experiments with Reservoir Computing on the road sign problem

Benjamin Schrauwen, Dirk Stroobandt, Eric A. Antonelo, 2016 .

Defect Detection in Reinforced Concrete Using Random Neural Architectures

Benjamin Schrauwen, David Verstraeten, John B. Butcher, 2014, Comput. Aided Civ. Infrastructure Eng..

An uncued brain-computer interface using reservoir computing

Benjamin Schrauwen, David Verstraeten, Pieter-Jan Kindermans, 2010, NIPS 2010.

Reservoir computing on nanophotonic chips

Benjamin Schrauwen, David Verstraeten, Joni Dambre, 2012 .

Tuning the M-coder to improve Dirac`s Entropy Coding

Benjamin Schrauwen, Jan Van Campenhout, Hendrik Eeckhaut, 2005 .

Reservoir Computing with Stochastic Bitstream Neurons

Benjamin Schrauwen, Dirk Stroobandt, David Verstraeten, 2005 .

Information Processing Capacity of Dynamical Systems

Benjamin Schrauwen, David Verstraeten, Joni Dambre, 2012, Scientific Reports.

Improving reservoirs using intrinsic plasticity

Jochen J. Steil, Benjamin Schrauwen, Dirk Stroobandt, 2008, Neurocomputing.

The Introduction of Time-Scales in Reservoir Computing, Applied to Isolated Digits Recognition

Benjamin Schrauwen, Jan M. Van Campenhout, David Verstraeten, 2007, ICANN.

Frequency modulation of large oscillatory neural networks

Benjamin Schrauwen, Herbert Jaeger, Francis Wyffels, 2014, Biological Cybernetics.

Non-markovian process modelling with Echo State Networks

Hendrik Van Brussel, Benjamin Schrauwen, Xavier Dutoit, 2009, ESANN.

Epileptic seizure detection using Reservoir Computing

Benjamin Schrauwen, Dirk Stroobandt, David Verstraeten, 2008 .

Effects of Architecture Choices on Sparse Coding in Speech Recognition

Benjamin Schrauwen, Jean-Pierre Martens, Fabian Triefenbach, 2012, ICANN.

Speeding Up Dirac`s Entropy Codec

Benjamin Schrauwen, Jan Van Campenhout, Hendrik Eeckhaut, 2005 .

Robot competitions trick students into learning

Francis wyffels, Benjamin Schrauwen, Karel Bruneel, 2011 .

End-to-end learning for music audio

Benjamin Schrauwen, Sander Dieleman, S. Dieleman, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Memory versus non-linearity in reservoirs

Benjamin Schrauwen, David Verstraeten, Joni Dambre, 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).

Using reservoir computing in a decomposition approach for time series prediction

Francis wyffels, Benjamin Schrauwen, Dirk Stroobandt, 2008 .

Towards Applicable Spiking Neutral Networks.

Benjamin Schrauwen, 2008 .

Reservoir computing using a delayed feedback system: towards photonic implementations

Benjamin Schrauwen, Miguel C. Soriano, Lennert Appeltant, 2011 .

Factoring Variations in Natural Images with Deep Gaussian Mixture Models

Benjamin Schrauwen, Aäron van den Oord, B. Schrauwen, 2014, NIPS.

Real-time epileptic seizure detection using reservoir computing

Benjamin Schrauwen, Dirk Stroobandt, David Verstraeten, 2009 .

Improving SpikeProp: Enhancements to An Error-Backpropagation Rule for Spiking Neural Networks

Benjamin Schrauwen, Jan Van Campenhout, J. V. Campenhout, 2004 .

Towards autonomous self-localization of small mobile robots using reservoir computing and slow feature analysis

Benjamin Schrauwen, Eric A. Antonelo, B. Schrauwen, 2009, 2009 IEEE International Conference on Systems, Man and Cybernetics.

Recognition of Isolated Digits using a Liquid State Machine

Benjamin Schrauwen, Jan Van Campenhout, David Verstraeten, 2005 .

Modular reservoir computing networks for imitation learning of multiple robot behaviors

Benjamin Schrauwen, Francis Wyffels, Tim Waegeman, 2009, 2009 IEEE International Symposium on Computational Intelligence in Robotics and Automation - (CIRA).

Imitation Learning of an Intelligent Navigation System for Mobile Robots Using Reservoir Computing

Benjamin Schrauwen, Dirk Stroobandt, Eric A. Antonelo, 2008, 2008 10th Brazilian Symposium on Neural Networks.

Towards incorporation of hierarchical Bayesian models into evolution strategies for quadruped gait generation

Francis wyffels, Benjamin Schrauwen, Ken Caluwaerts, 2012 .

The unified Reservoir Computing concept and its digital hardware implementations

Benjamin Schrauwen, Dirk Stroobandt, David Verstraeten, 2006 .

Automated Design of Complex Dynamic Systems

Benjamin Schrauwen, Joni Dambre, Peter Bienstman, 2014, PloS one.

Design of a Central Pattern Generator Using Reservoir Computing for Learning Human Motion

Benjamin Schrauwen, Francis Wyffels, B. Schrauwen, 2009, 2009 Advanced Technologies for Enhanced Quality of Life.

Pruning and regularization in reservoir computing

Hendrik Van Brussel, Benjamin Schrauwen, Jan M. Van Campenhout, 2009, Neurocomputing.

Artificial Intelligence at Light Speed: towards Opto-Electronic Reservoir Computing

Benjamin Schrauwen, Yvan Paquot, Joni Dambre, 2010 .

Optoelectronic Reservoir Computing

Benjamin Schrauwen, Yvan Paquot, Joni Dambre, 2011, Scientific Reports.

Time-domain and frequency-domain modeling of nonlinear optical components at the circuit-level using a node-based approach

Benjamin Schrauwen, Dries Vande Ginste, Joni Dambre, 2012 .

ON DIFFERENT LEARNING APPROACHES WITH ECHO STATE NETWORKS FOR LOCALIZATION OF SMALL MOBILE ROBOTS

Benjamin Schrauwen, Eric Aislan Antonelo, 2016 .

Memory in reservoirs for high dimensional input

Benjamin Schrauwen, Michiel Hermans, B. Schrauwen, 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).

Photonic reservoir computing: A new approach to optical information processing

Benjamin Schrauwen, David Verstraeten, Joni Dambre, 2010, 2010 12th International Conference on Transparent Optical Networks.

A Unified Probabilistic Approach to Improve Spelling in an Event-Related Potential-Based Brain–Computer Interface

Benjamin Schrauwen, Pieter-Jan Kindermans, Hannes Verschore, 2013, IEEE Transactions on Biomedical Engineering.

Oncilla Robot: A Versatile Open-Source Quadruped Research Robot With Compliant Pantograph Legs

Jochen J. Steil, Auke Jan Ijspeert, Arne Nordmann, 2018, Front. Robot. AI.

Scalable and Hardware-friendly Wavelet Entropy Coding

Benjamin Schrauwen, Dirk Stroobandt, Harald Devos, 2004 .

System modeling with Reservoir Computing

Francis wyffels, Benjamin Schrauwen, Dirk Stroobandt, 2008 .

The body as a reservoir: locomotion and sensing with linear feedback

Benjamin Schrauwen, Ken Caluwaerts, B. Schrauwen, 2011 .

Learning content-based metrics for music similarity

Benjamin Schrauwen, Sander Dieleman, 2012 .

Using topic models for Twitter hashtag recommendation

Wesley De Neve, Rik Van de Walle, Benjamin Schrauwen, 2013, WWW.

Time series classification for the prediction of dialysis in critically ill patients using echo statenetworks

Filip De Turck, Tom Dhaene, Benjamin Schrauwen, 2013, Eng. Appl. Artif. Intell..

Oger: modular learning architectures for large-scale sequential processing

Benjamin Schrauwen, Sander Dieleman, David Verstraeten, 2012, J. Mach. Learn. Res..

Generative Modeling of Autonomous Robots and their Environments using Reservoir Computing

Benjamin Schrauwen, Jan M. Van Campenhout, Eric A. Antonelo, 2007, Neural Processing Letters.

Extending reservoir computing with random static projections: a hybrid between extreme learning and RC

Benjamin Schrauwen, Charles Day, David Verstraeten, 2010, ESANN.

Feedback Control by Online Learning an Inverse Model

Benjamin Schrauwen, Francis Wyffels, Tim Waegeman, 2012, IEEE Transactions on Neural Networks and Learning Systems.

Dynamic stopping in a calibration-less P300 speller

Benjamin Schrauwen, Pieter-Jan Kindermans, 2013 .

Realization of a passive compliant robot dog

Benjamin Schrauwen, Michiel D'Haene, Francis Wyffels, 2010, 2010 3rd IEEE RAS & EMBS International Conference on Biomedical Robotics and Biomechatronics.

Backpropagation for Population-Temporal Coded Spiking Neural Networks

Benjamin Schrauwen, Jan M. Van Campenhout, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

Real-time detection of epileptic seizures in animal models using reservoir computing

Benjamin Schrauwen, Dirk Stroobandt, David Verstraeten, 2013, Epilepsy Research.

Pruning and Regularisation in Reservoir Computing: a First Insight

Hendrik Van Brussel, Benjamin Schrauwen, Jan M. Van Campenhout, 2008, ESANN.

Speech recognition using photonic reservoir computing with semiconductor optical amplifiers

Benjamin Schrauwen, David Verstraeten, Joni Dambre, 2011 .

Optimized Parameter Search for Large Datasets of the Regularization Parameter and Feature Selection for Ridge Regression

Benjamin Schrauwen, David Verstraeten, Joni Dambre, 2013, Neural Processing Letters.

Linking non-binned spike train kernels to several existing spike train metrics

Benjamin Schrauwen, Jan M. Van Campenhout, 2006, ESANN.

Towards dynamically running quadruped robots: performance, scaling, and comparison

Rico Möckel, Auke Jan Ijspeert, Benjamin Schrauwen, 2013 .

CAPHE: a circuit-level time-domain and frequency-domain modeling tool for nonlinear optical components

Benjamin Schrauwen, Pieter Dumon, Joni Dambre, 2011 .

Experimental demonstration of reservoir computing on a silicon photonics chip

Geert Morthier, Benjamin Schrauwen, David Verstraeten, 2014, Nature Communications.

Information processing with recurrent dynamical systems: theory, characterization and experiment.

Benjamin Schrauwen, Yvan Paquot, Joni Dambre, 2012 .

Photonic reservoir computing: a new approach to optical information processing

Benjamin Schrauwen, David Verstraeten, Joni Dambre, 2010, Photonics North.

System modeling for active noise control with reservoir computing

Benjamin Schrauwen, Tim Waegeman, Ken Caluwaerts, 2012 .

Compact hardware for real-time speech recognition using a Liquid State Machine

Benjamin Schrauwen, Jan M. Van Campenhout, David Verstraeten, 2007, 2007 International Joint Conference on Neural Networks.

Reservoir computing: a photonic neural network for information processing

Benjamin Schrauwen, Yvan Paquot, Joni Dambre, 2010, Photonics Europe.

Comparing trotting and turning strategies on the quadrupedal oncilla robot

Benjamin Schrauwen, Jonas Degrave, Francis Wyffels, 2013, 2013 IEEE International Conference on Robotics and Biomimetics (ROBIO).

Technical report on Hierarchical Reservoir Computing architectures

Benjamin Schrauwen, Tim Waegeman, B. Schrauwen, 2012 .

Band-pass Reservoir Computing

Benjamin Schrauwen, Dirk Stroobandt, David Verstraeten, 2008, 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence).

Audio-based Music Classification with a Pretrained Convolutional Network

Benjamin Schrauwen, Sander Dieleman, Philemon Brakel, 2011, ISMIR.

Compacthardwareforreal-time speechrecognition using a LiquidStateMachine

Benjamin Schrauwen, Michiel D'Haene, 2007 .

Stable Output Feedback in Reservoir Computing Using Ridge Regression

Benjamin Schrauwen, Dirk Stroobandt, Francis Wyffels, 2008, ICANN.

Towards fully analog hardware reservoir computing for speech recognition

Benjamin Schrauwen, Yvan Paquot, Serge Massar, 2012 .

Deep content-based music recommendation

Benjamin Schrauwen, Sander Dieleman, Aäron van den Oord, 2013, NIPS.

Training Restricted Boltzmann Machines with Multi-tempering: Harnessing Parallelization

Benjamin Schrauwen, Sander Dieleman, Philemon Brakel, 2012, ICANN.

A hierarchy of recurrent networks for speech recognition

Benjamin Schrauwen, Lars Buesing, Lars Buesing, 2009, NIPS 2009.

UGent AMARSi progress

Francis wyffels, Benjamin Schrauwen, Jonas Degrave, 2013 .

Non-Markovian Processes Modeling with Echo State Networks

Hendrik Van Brussel, Benjamin Schrauwen, Xavier Dutoit, 2009, ESANN 2009.

Pattern classification with CNNs as reservoirs

Johan A. K. Suykens, Benjamin Schrauwen, Dirk Stroobandt, 2008 .

Building robots as a tool to motivate students into an engineering education

Francis wyffels, Benjamin Schrauwen, Michiel Hermans, 2010 .

Towards a Neural Hierarchy of Time Scales for Motor Control

Benjamin Schrauwen, Francis Wyffels, Tim Waegeman, 2012, SAB.

Building a patient-specific seizure detector without expert input using user triggered active learning strategies

Benjamin Schrauwen, Dirk Stroobandt, Pieter Buteneers, 2013 .

Biologically inspired features in spiking neural networks

Benjamin Schrauwen, Dirk Stroobandt, Michiel D'Haene, 2008 .

On Computational Power and the Order-Chaos Phase Transition in Reservoir Computing

Benjamin Schrauwen, Robert A. Legenstein, Lars Buesing, 2008, NIPS.

Real-Time Epileptic Seizure Detection on Intra-cranial Rat Data Using Reservoir Computing

Benjamin Schrauwen, Dirk Stroobandt, David Verstraeten, 2008, ICONIP.

Fast and Exact Simulation Methods Applied on a Broad Range of Neuron Models

Benjamin Schrauwen, Michiel D'Haene, 2010, Neural Computation.

Bidirectional truncated recurrent neural networks for efficient speech denoising

Benjamin Schrauwen, Dirk Stroobandt, Philemon Brakel, 2013, INTERSPEECH.

Modeling multiple autonomous robot behaviors and behavior switching with a single reservoir computing network

Benjamin Schrauwen, Dirk Stroobandt, Eric A. Antonelo, 2008, 2008 IEEE International Conference on Systems, Man and Cybernetics.

Reservoir-based techniques for speech recognition

Benjamin Schrauwen, Dirk Stroobandt, David Verstraeten, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

A case study demonstrating the pitfalls during evaluation of a predictive seizure detector

Benjamin Schrauwen, Pieter-Jan Kindermans, Thibault Verhoeven, 2013 .

A hardware-friendly wavelet entropy codec for scalable video

Benjamin Schrauwen, Dirk Stroobandt, Harald Devos, 2005, Design, Automation and Test in Europe.

Improving Parallelism of a Hardware Friendly, Scalable Wavelet Entropy codec.

Benjamin Schrauwen, Dirk Stroobandt, Harald Devos, 2005 .

Adapting reservoir states to get Gaussian distributions

Benjamin Schrauwen, Dirk Stroobandt, David Verstraeten, 2007, ESANN.

An experimental unification of reservoir computing methods

Benjamin Schrauwen, Dirk Stroobandt, David Verstraeten, 2007, Neural Networks.

Optical signal processing with a network of semiconductor optical amplifiers in the context of photonic reservoir computing

Benjamin Schrauwen, David Verstraeten, Joni Dambre, 2011, OPTO.

Towards Learning Inverse Kinematics with a Neural Network Based Tracking Controller

Benjamin Schrauwen, Tim Waegeman, B. Schrauwen, 2011, ICONIP.

Transferring Unsupervised Adaptive Classifiers Between Users of a Spatial Auditory Brain-Computer Interface

Klaus-Robert Müller, Benjamin Schrauwen, Benjamin Blankertz, 2014 .

Multiscale Approaches To Music Audio Feature Learning

Benjamin Schrauwen, Sander Dieleman, S. Dieleman, 2013, ISMIR.

Compact hardware liquid state machines on FPGA for real-time speech recognition

Benjamin Schrauwen, Jan M. Van Campenhout, David Verstraeten, 2008, Neural Networks.

Training and analyzing deep recurrent neural networks

Benjamin Schrauwen, Michiel Hermans, B. Schrauwen, 2013, NIPS 2013.

Efficient, Scalable and Parallel Event-Driven Simulation

Benjamin Schrauwen, Michiel D'Haene, 2008, NIPS 2008.

Accelerating sparse restricted Boltzmann machine training using non-Gaussianity measures

Benjamin Schrauwen, Sander Dieleman, 2012, NIPS 2012.

Applying morphological changes during the evolution of quadruped robots results in robust gaits

Francis wyffels, Benjamin Schrauwen, Jonas Degrave, 2012 .

Event detection and localization for small mobile robots using reservoir computing

Benjamin Schrauwen, Dirk Stroobandt, Eric A. Antonelo, 2008, Neural Networks.

Locomotion Without a Brain: Physical Reservoir Computing in Tensegrity Structures

Benjamin Schrauwen, David Verstraeten, Michiel D'Haene, 2013, Artificial Life.

Introduction to spiking neural networks, liquid state machines and their hardware implementations

Benjamin Schrauwen, 2006 .

Adapting reservoirs to get Gaussian distributions

Benjamin Schrauwen, Dirk Stroobandt, David Verstraeten, 2007 .

Sign Language Recognition Using Convolutional Neural Networks

Benjamin Schrauwen, Sander Dieleman, Lionel Pigou, 2014, ECCV Workshops.

Memory in linear recurrent neural networks in continuous time

Benjamin Schrauwen, Michiel Hermans, B. Schrauwen, 2010, Neural Networks.

Photonic Reservoir Computing with Coupled Semiconductor Optical Amplifiers

Benjamin Schrauwen, Jan M. Van Campenhout, Roel Baets, 2008, OSC.

Learning Navigation Attractors For Mobile Robots With Reinforcement Learning And Reservoir Computing

Benjamin Schrauwen, Eric A. Antonelo, Eric Aislan Antonelo, 2016 .

Recent advances in efficient learning of recurrent networks

Jochen J. Steil, Barbara Hammer, Benjamin Schrauwen, 2009, ESANN.

A Bayesian Model for Exploiting Application Constraints to Enable Unsupervised Training of a P300-based BCI

Benjamin Schrauwen, David Verstraeten, Pieter-Jan Kindermans, 2012, PloS one.

Infinite Sparse Threshold Unit Networks

Benjamin Schrauwen, Michiel Hermans, 2012, ICANN.

Supervised learning of internal models for autonomous goal-oriented robot navigation using Reservoir Computing

Benjamin Schrauwen, Eric A. Antonelo, B. Schrauwen, 2010, 2010 IEEE International Conference on Robotics and Automation.

One step Backpropagation Through Time for learning input mapping in reservoir computing applied to speech recognition

Benjamin Schrauwen, Michiel Hermans, 2010, Proceedings of 2010 IEEE International Symposium on Circuits and Systems.

Compact Digital Hardware Implementations of Spiking Neural Networks

Benjamin Schrauwen, Michiel D'Haene, 2005 .

Toward Unified Hybrid Simulation Techniques for Spiking Neural Networks

Benjamin Schrauwen, Michiel D'Haene, Michiel Hermans, 2014, Neural Computation.

True Zero-Training Brain-Computer Interfacing – An Online Study

Klaus-Robert Müller, Benjamin Schrauwen, Michael Tangermann, 2014, PloS one.

How do you like your P300 speller: adaptive, accurate and simple?

Benjamin Schrauwen, David Verstraeten, Pieter-Jan Kindermans, 2011 .

Delays in photonic reservoir computing with semiconductor optical amplifiers

Benjamin Schrauwen, David Verstraeten, Joni Dambre, 2010 .

Embedded spiking neural networks

Benjamin Schrauwen, 2002 .