Research Explorer

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Researcher

Benjamin Schrauwen

Awards & Distinctions

185 Results

2018

Oncilla robot : a versatile open-source quadruped research robot with compliant pantograph legs

Alexander T. SpröwitzAlexandre TuleuMostafa AjallooeianMassimo VespignaniRico MöckelPeter EckertMichiel D'HaeneJonas DegraveArne NordmannBenjamin Schrauwen et al.

A2 Journal Article in FRONTIERS IN ROBOTICS AND AI

2016

Learning feature hierarchies for musical audio signals

Sander DielemanJoni DambreBenjamin Schrauwen

2015

Deep architectures for feature extraction and generative modeling

Aäron van den OordJoni DambreBenjamin Schrauwen

Memristor models for machine learning

Juan Pablo CarbajalJoni DambreMichiel HermansBenjamin Schrauwen

A1 Journal Article in NEURAL COMPUTATION

Sign language recognition using convolutional neural networks

Lionel PigouSander DielemanPieter-Jan KindermansBenjamin Schrauwen

2014

A Bayesian machine learning framework for true zero-training brain-computer interfaces

Pieter-Jan KindermansBenjamin Schrauwen

An unsupervised plug and play BCI with consumer grade hardware

Thibault VerhoevenPieter ButeneersBenjamin SchrauwenPieter-Jan Kindermans

An unsupervised plug and play BCI with consumer grade hardware

Thibault VerhoevenPieter ButeneersBenjamin SchrauwenPieter-Jan Kindermans

Automated design of complex dynamic systems

Michiel HermansBenjamin SchrauwenPeter BienstmanJoni Dambre

A1 Journal Article in PLOS ONE

Design and computational aspects of compliant tensegrity robots

Ken CaluwaertsBenjamin Schrauwen

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

Ken CaluwaertsJérémie DesprazAtil IscenAndrew SabelhausJonathan BruceBenjamin SchrauwenVytas SunSpiral

A1 Journal Article in JOURNAL OF THE ROYAL SOCIETY INTERFACE

End-to-end learning for music audio

Sander DielemanBenjamin Schrauwen

Experimental demonstration of reservoir computing on a silicon photonics chip

Kristof VandoornePauline MechetThomas Van VaerenberghMartin FiersGeert MorthierDavid VerstraetenBenjamin SchrauwenJoni DambrePeter Bienstman

A1 Journal Article in NATURE COMMUNICATIONS

Factoring variations in natural images with deep Gaussian mixture models

Aäron van den OordBenjamin Schrauwen

Frequency modulation of large oscillatory neural networks

Francis wyffelsJiwen LiTim WaegemanBenjamin SchrauwenHerbert Jaeger

A1 Journal Article in BIOLOGICAL CYBERNETICS

In silico case studies of compliant robots: AMARSI deliverable 3.3

Juan Pablo CarbajalKen CaluwaertsBenjamin SchrauwenDavid VerstraetenMichiel DhaeneYuri IvanenkoCristiano AlessandroAndrea d’AvellaHarold Roberto Martinez SalazarQian Zhao et al.

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

Pieter-Jan KindermansMichael TangermannKlaus-Robert MüllerBenjamin Schrauwen

A1 Journal Article in JOURNAL OF NEURAL ENGINEERING

Nanophotonic reservoir computing with photonic crystal cavities to generate periodic patterns

Martin FiersThomas Van VaerenberghFrancis wyffelsDavid VerstraetenBenjamin SchrauwenJoni DambrePeter Bienstman

A1 Journal Article in IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS

Switching characters between stimuli improves P300 speller accuracy

Thibault VerhoevenPieter-Jan KindermansPieter ButeneersBenjamin Schrauwen

The estimation and application of unnormalized statistical models

Philémon BrakelBenjamin Schrauwen

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

Aäron van den OordBenjamin Schrauwen

A1 Journal Article in JOURNAL OF MACHINE LEARNING RESEARCH

Transfer learning by supervised pre-training for audio-based music classification

Aäron van den OordSander DielemanBenjamin Schrauwen

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

Pieter-Jan KindermansBenjamin SchrauwenBenjamin BlankertzKlaus-Robert MüllerMichael Tangermann

True zero-training brain-computer interfacing: an online study

Pieter-Jan KindermansMartijn SchreuderBenjamin SchrauwenKlaus-Robert MüllerMichael Tangermann

A1 Journal Article in PLOS ONE

2013

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

Pieter ButeneersThibault VerhoevenPieter-Jan KindermansBenjamin Schrauwen

A unified probabilistic approach to improve spelling in an event-related potential based brain-computer interface

Pieter-Jan KindermansHannes VerschoreBenjamin Schrauwen

A1 Journal Article in IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

AMARSi D5.4: Technical Report on Novel Reinforcement Learning Methods

Elmar RückertGerhard NeumannWolfgang MaassKen CaluwaertsBenjamin Schrauwen

Adaptive control of compliant robots with Reservoir Computing

Tim WaegemanBenjamin Schrauwen

Bidirectional truncated recurrent neural networks for efficient speech denoising

Philémon BrakelDirk StroobandtBenjamin Schrauwen

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

Pieter ButeneersDirk StroobandtBenjamin Schrauwen

Comparing trotting and turning strategies on the quadrupedal Oncilla Robot

Jonas DegraveMichaël BurmTim WaegemanFrancis wyffelsBenjamin Schrauwen

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

Robin BailleulJan De CockBenjamin SchrauwenPeter LambertRik Van de Walle

Deep content-based music recommendation

Aäron van den OordSander DielemanBenjamin Schrauwen

Dynamic stopping in a calibration-less P300 speller

Pieter-Jan KindermansBenjamin Schrauwen

Learning a piecewise linear transform coding scheme for images

Aäron van den OordSander DielemanBenjamin Schrauwen

Locomotion without a brain: physical reservoir computing in tensegrity structures

Ken CaluwaertsMichiel D'HaeneDavid VerstraetenBenjamin Schrauwen

A1 Journal Article in ARTIFICIAL LIFE

MACOP modular architecture with control primitives

Tim WaegemanMichiel HermansBenjamin Schrauwen

A1 Journal Article in FRONTIERS IN COMPUTATIONAL NEUROSCIENCE

Multiscale approaches to music audio feature learning

Sander DielemanBenjamin Schrauwen

Optimized parameter search for large datasets of the regularization parameter and feature selection for ridge regression

Pieter ButeneersKen CaluwaertsDavid VerstraetenJoni DambreBenjamin Schrauwen

A1 Journal Article in NEURAL PROCESSING LETTERS

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

Pieter ButeneersDavid VerstraetenBregt Van NieuwenhuyseDirk StroobandtRobrecht RaedtKristl VonckPaul BoonBenjamin Schrauwen

A1 Journal Article in EPILEPSY RESEARCH

Recent advances in optical reservoir computing

François DuportAnteo SmerieriYvan PaquotBendix SchneiderJoni DambreBenjamin SchrauwenMarc HaeltermanSerge Massar

Sequence generation with reservoir computing systems

Francis wyffelsBenjamin Schrauwen

Terrain classification for a quadruped robot

Jonas DegraveRobin Van CauwenberghFrancis wyffelsTim WaegemanBenjamin Schrauwen

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

Ken CaluwaertsFrancis wyffelsSander DielemanBenjamin Schrauwen

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

Femke OngenaeStijn Van LooyDavid VerstraetenThierry VerplanckeDominique BenoitFilip De TurckTom DhaeneBenjamin SchrauwenJohan Decruyenaere

A1 Journal Article in ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

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

Alexander SproewitzAlexandre TuleuMichiel D'HaeneRico MöckelJonas DegraveMassimo VespignaniSebastien GayMostafa AjallooeianBenjamin SchrauwenAuke Jan Ijspeert

Training energy-based models for time-series imputation

Philémon BrakelDirk StroobandtBenjamin Schrauwen

A1 Journal Article in JOURNAL OF MACHINE LEARNING RESEARCH

UGent AMARSi progress

Ken CaluwaertsJonas DegraveTim WaegemanFrancis wyffelsBenjamin Schrauwen

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

Peter BienstmanKristof VandoorneThomas Van VaerenberghMartin FiersBendix SchneiderBenjamin SchrauwenJoni Dambre

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

Peter BienstmanKristof VandoorneThomas Van VaerenberghMartin FiersBendix SchneiderBenjamin SchrauwenJoni Dambre

Using topic models for Twitter hashtag recommendation

Fréderic GodinViktor SlavkovikjWesley De NeveBenjamin SchrauwenRik Van de Walle

Zero training for BCI-reality for BCI systems based on event-related potentials

Michael TangermannPieter-Jan KindermansMartijn SchreuderBenjamin SchrauwenKlaus-Robert Müller

2012

A P300 BCI for the masses: prior information enables instant unsupervised spelling

Pieter-Jan KindermansHannes VerschoreDavid VerstraetenBenjamin Schrauwen

A bayesian model for exploiting application constraints to enable unsupervised training of a P300 based BCI

Pieter-Jan KindermansDavid VerstraetenBenjamin Schrauwen

A1 Journal Article in PLOS ONE

A discrete/rhythmic pattern generating RNN

Tim WaegemanFrancis wyffelsBenjamin Schrauwen

Accelerating sparse restricted Boltzmann machine training using non-Gaussianity measures

Sander DielemanBenjamin Schrauwen

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

Jonas DegraveFrancis wyffelsTim WaegemanPieter-Jan KindermansBenjamin Schrauwen

Cascadable excitability in microrings

Thomas Van VaerenberghMartin FiersPauline MechetThijs SpuesensRajesh KumarGeert MorthierBenjamin SchrauwenJoni DambrePeter Bienstman

A1 Journal Article in OPTICS EXPRESS

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

Thomas Van VaerenberghMartin FiersPauline MechetThijs SpuesensRajesh KumarGeert MorthierKristof VandoorneBendix SchneiderBenjamin SchrauwenJoni Dambre et al.

Computing using delayed feedback systems: towards photonics

L AppeltantMC SorianoG Van der SandeJ DanckaertS MassarJoni DambreBenjamin SchrauwenCR MirassoI Fischer

Detection of epileptic seizures: the reservoir computing approach

Pieter ButeneersBenjamin SchrauwenPaul Boon

Distance dependent extensions of the Chinese restaurant process

Willem WyboCamille CollePieter-Jan KindermansBenjamin Schrauwen

Dynamic stopping improves the speed and accuracy of a P300 speller

Hannes VerschorePieter-Jan KindermansDavid VerstraetenBenjamin Schrauwen

Effects of architecture choices on sparse coding in speech recognition

Fionntán O'DonnellFabian TriefenbachJean-Pierre MartensBenjamin Schrauwen

Energy-based temporal neural networks for imputing missing values

Philémon BrakelBenjamin Schrauwen

Expanding the theoretical framework of reservoir computing

Michiel HermansBenjamin Schrauwen

Feedback control by online learning an inverse model

Tim WaegemanFrancis wyffelsBenjamin Schrauwen

A1 Journal Article in IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS

Information processing capacity of dynamical systems

Joni DambreDavid VerstraetenBenjamin SchrauwenSerge Massar

A1 Journal Article in SCIENTIFIC REPORTS

Learning content-based metrics for music similarity

Sander DielemanBenjamin Schrauwen

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

Eric AntoneloBenjamin Schrauwen

A1 Journal Article in NEURAL NETWORKS

Oger: modular learning architectures for large-scale sequential processing

David VerstraetenBenjamin SchrauwenSander DielemanPhilémon BrakelPieter ButeneersDejan Pecevski

A1 Journal Article in JOURNAL OF MACHINE LEARNING RESEARCH

Optical information processing: advances in nanophotonic reservoir computing

Martin FiersKristof VandoorneThomas Van VaerenberghJoni DambreBenjamin SchrauwenPeter Bienstman

Optoelectronic reservoir computing

Yvan PaquotFrancois DuportAntoneo SmerieriJoni DambreBenjamin SchrauwenMarc HaeltermanSerge Massar

A1 Journal Article in SCIENTIFIC REPORTS

Parallel one-versus-rest SVM training on the GPU

Sander DielemanAäron van den OordBenjamin Schrauwen

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

Pieter ButeneersDavid VerstraetenRobrecht RaedtDirk StroobandtKristl VonckPaul BoonBenjamin Schrauwen

Recurrent kernel machines : computing with infinite echo state networks

Michiel HermansBenjamin Schrauwen

A1 Journal Article in NEURAL COMPUTATION

Reservoir computing on nanophotonic chips

Peter BienstmanKristof VandoorneThomas Van VaerenberghMartin FiersBendix SchneiderDavid VerstraetenBenjamin SchrauwenJoni Dambre

Self-pulsation and excitability mechanism in silicon-on-insulator microrings

Thomas Van VaerenberghMartin FiersPauline MechetThijs SpuesensRajesh KumarGeert MorthierKristof VandoorneBendix SchneiderBenjamin SchrauwenJoni Dambre et al.

System modeling for active noise control with reservoir computing

Jens NymanKen CaluwaertsTim WaegemanBenjamin Schrauwen

System modeling for active noise control with reservoir computing

Jens NymanKen CaluwaertsTim WaegemanBenjamin Schrauwen

Technical report on hierarchical reservoir computing architectures

Francis wyffelsTim WaegemanBenjamin SchrauwenHerbert Jaeger

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

Martin FiersThomas Van VaerenberghKen CaluwaertsDries Vande GinsteBenjamin SchrauwenJoni DambrePeter Bienstman

A1 Journal Article in JOURNAL OF THE OPTICAL SOCIETY OF AMERICA B-OPTICAL PHYSICS

Towards a neural hierarchy of time scales for motor control

Tim WaegemanFrancis wyffelsBenjamin Schrauwen

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

Pieter-Jan KindermansFrancis wyffelsKen CaluwaertsBert GunsBenjamin Schrauwen

Training restricted Boltzmann machines with multi-tempering: harnessing parallelization

Philémon BrakelSander DielemanBenjamin Schrauwen

2011

Advances in photonic reservoir computing on an integrated platform

Kristof VandoorneMartin FiersThomas Van VaerenberghDavid VerstraetenBenjamin SchrauwenJoni DambrePeter Bienstman

Audio-based music classification with a pretrained convolutional network

Sander DielemanPhilémon BrakelBenjamin Schrauwen

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

Pieter ButeneersDavid VerstraetenPieter van MierloTine WyckhuysDirk StroobandtRobrecht RaedtHans HallezBenjamin Schrauwen

A1 Journal Article in ARTIFICIAL INTELLIGENCE IN MEDICINE

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

Martin FiersThomas Van VaerenberghPieter DumonKen CaluwaertsBenjamin SchrauwenJoni DambrePeter Bienstman

Delays in photonic reservoir computing with semiconductor optical amplifiers

Kristof VandoorneDavid VerstraetenBenjamin SchrauwenJoni DambrePeter Bienstman

Information processing using a single dynamical node as complex system

Lennert AppeltantMiguel Cornelles SorianoGuy Van der SandeJan DanckaertSerge MassarJoni DambreBenjamin SchrauwenClaudio R MirassoIngo Fischer

A1 Journal Article in NATURE COMMUNICATIONS

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

Kristof VandoorneMartin FiersDavid VerstraetenBenjamin SchrauwenJoni DambrePeter Bienstman

Parallel reservoir computing using optical amplifiers

Kristof VandoorneJoni DambreDavid VerstraetenBenjamin SchrauwenPeter Bienstman

A1 Journal Article in IEEE TRANSACTIONS ON NEURAL NETWORKS

Photonic reservoir computing and information processing with coupled semiconductor optical amplifiers

Kristof VandoorneThomas Van VaerenberghMartin FiersPeter BienstmanDavid VerstraetenBenjamin SchrauwenJoni Dambre

Reservoir computing architectures for modeling robot navigation systems

Eric AntoneloBenjamin SchrauwenDirk Stroobandt

Reservoir computing using a delayed feedback system: towards photonic implementations

Lennert AppeltantMC SorianoGuy Van der SandeJan DankaertSerge MassarJoni DambreBenjamin SchrauwenClaudio R MirassoIngo Fisher

Robot competitions trick students into learning

Francis wyffelsKarel BruneelPieter-Jan KindermansMichiel D'HaenePierre WoestynPeter BertelsBenjamin Schrauwen

Speech recognition using photonic reservoir computing with semiconductor optical amplifiers

Kristof VandoorneJoni DambreDavid VerstraetenBenjamin SchrauwenPeter Bienstman

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

Ken CaluwaertsBenjamin Schrauwen

Towards learning inverse kinematics with a neural network based tracking controller

Tim WaegemanBenjamin Schrauwen

2010

A comparative study of reservoir computing strategies for monthly time series prediction

Francis wyffelsBenjamin Schrauwen

A1 Journal Article in NEUROCOMPUTING

An uncued brain-computer interface using reservoir computing

Pieter-Jan KindermansPieter ButeneersDavid VerstraetenBenjamin Schrauwen

Artificial intelligence at light speed: toward optoelectronic reservoir computing

Yvan PaquotFrancois DuportJoni DambreBenjamin SchrauwenMarc HaeltermanSerge Massar

A4 Journal Article in BELGIAN PHYSICAL SOCIETY MAGAZINE

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

Francis wyffelsMichiel HermansBenjamin Schrauwen

A2 Journal Article in AT&P JOURNAL PLUS

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

Francis wyffelsMichiel HermansBenjamin Schrauwen

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

Mostafa AjallooeianSébastien GayAuke IjspeertMohammad Khansari-ZadehSeungsu KimAude BillardElmar RückertGerhard NeumannTim WaegemanFrancis wyffels et al.

Connectivity, dynamics, and memory in reservoir computing with binary and analog neurons

Lars BuesingBenjamin SchrauwenRobert Legenstein

A1 Journal Article in NEURAL COMPUTATION

De l'utilisation d'un oscillateur optoelectronique comme reservoir computer

François DuportYvan PaquotJoni DambreBenjamin SchrauwenMarc HaeltermanSerge Massar

Delays in photonic reservoir computing with semiconductor optical amplifiers

Kristof VandoorneJoni DambreDavid VerstraetenBenjamin SchrauwenPeter Bienstman

Efficient simulation methods for spiking neural networks

Michiel D'HaeneBenjamin SchrauwenDirk Stroobandt

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

John ButcherDavid VerstraetenBenjamin SchrauwenCharles DayPeter Haycock

Fast and exact simulation methods applied on a broad range of neuron models

Michiel D'HaeneBenjamin Schrauwen

A1 Journal Article in NEURAL COMPUTATION

Memory in linear recurrent neural networks in continuous time

Michiel HermansBenjamin Schrauwen

A1 Journal Article in NEURAL NETWORKS

Memory in reservoirs for high dimensional input

Michiel HermansBenjamin Schrauwen

Memory versus non-linearity in reservoirs

David VerstraetenJoni DambreXavier DutoitBenjamin Schrauwen

One step backpropagation through time for learning input mapping in reservoir computing applied to speech recognition

Michiel HermansBenjamin Schrauwen

Phoneme recognition with large hierarchical reservoirs

Fabian TriefenbachAzarakhsh JalalvandBenjamin SchrauwenJean-Pierre Martens

Photonic reservoir computing as a new paradigm for optical information processing

Peter BienstmanKristof VandoorneMartin FiersDavid VerstraetenJoni DambreBenjamin Schrauwen

Photonic reservoir computing: a new approach to optical information processing

Kristof VandoorneMartin FiersDavid VerstraetenBenjamin SchrauwenJoni DambrePeter Bienstman

Photonic reservoir computing: a new approach to optical information processing

Kristof VandoorneMartin FiersDavid VerstraetenBenjamin SchrauwenJoni DambrePeter Bienstman

Realization of a passive compliant robot dog

Francis wyffelsMichiel D'HaeneTim WaegemanKen CaluwaertsConrado NunesBenjamin Schrauwen

Reservoir computing : a photonic neural network for information processing

Yvan PaquotJoni DambreBenjamin SchrauwenMarc HaeltermanSerge Massar

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

Eric AntoneloBenjamin Schrauwen

2009

A hierarchy of recurrent networks for speech recognition

Benjamin SchrauwenLars Buesing

Accelerating event-driven simulation of spiking neurons with multiple synaptic time constants

Michiel D'HaeneBenjamin SchrauwenJan Van CampenhoutDirk Stroobandt

A1 Journal Article in NEURAL COMPUTATION

Design of a central pattern generator using reservoir computing for learning human motion

Francis wyffelsBenjamin Schrauwen

Modular reservoir computing networks for imitation learning of multiple robot behaviors

Tim WaegemanEric AntoneloFrancis wyffelsBenjamin Schrauwen

On computational power and the order-chaos phase transition in Reservoir Computing

Benjamin SchrauwenLars BuesingRobert Legenstein

On the quantification of dynamics in Reservoir Computing

David VerstraetenBenjamin Schrauwen

Pruning and regularization in reservoir computing

Xavier DutoitBenjamin SchrauwenJan Van CampenhoutDirk StroobandtHendrik Van BrusselMarnix Nuttin

A1 Journal Article in NEUROCOMPUTING

Real-time epileptic seizure detection on intra-cranial rat data using reservoir computing

Pieter ButeneersBenjamin SchrauwenDavid VerstraetenDirk Stroobandt

Real-time epileptic seizure detection using reservoir computing

Pieter ButeneersBenjamin SchrauwenDavid VerstraetenDirk Stroobandt

Reservoir Computing: computation with dynamical systems

David VerstraetenDirk StroobandtBenjamin Schrauwen

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

Eric AntoneloBenjamin Schrauwen

Unsupervised learning in reservoir computing: modeling hippocampal place cells for small mobile robots

Eric AntoneloBenjamin Schrauwen

2008

Band-pass reservoir computing

Francis wyffelsBenjamin SchrauwenDavid VerstraetenDirk Stroobandt

Biologically inspired features in spiking neural networks

Michiel HermansBenjamin SchrauwenMichiel D'HaeneDirk Stroobandt

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

Benjamin SchrauwenMichiel D'HaeneDavid VerstraetenJan Van Campenhout

A1 Journal Article in NEURAL NETWORKS

Efficient, Scalable and Parallel Event-Driven Simulation

Michiel D'HaeneBenjamin Schrauwen

Epileptic seizure detection using Reservoir Computing

Pieter ButeneersBenjamin SchrauwenDavid VerstraetenDirk Stroobandt

Event detection and localization for small mobile robots using reservoir computing

Eric AntoneloBenjamin SchrauwenDirk Stroobandt

A1 Journal Article in NEURAL NETWORKS

Imitation learning of an intelligent navigation system for mobile robots using reservoir computing

Eric AntoneloBenjamin SchrauwenDirk Stroobandt

Improving reservoirs using intrinsic plasticity

Benjamin SchrauwenMarion WardermannDavid VerstraetenJJ STEILDirk Stroobandt

A1 Journal Article in NEUROCOMPUTING

Mobile Robot Control in the Road Sign Problem using Reservoir Computing Networks

Eric AntoneloBenjamin SchrauwenDirk Stroobandt

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

Eric AntoneloBenjamin SchrauwenDirk Stroobandt

Pattern classification with CNNs as reservoirs

David VerstraetenSamuel Xavier-de-SouzaBenjamin SchrauwenJohan SuykensDirk StroobandtJoos Vandewalle

Photonic reservoir computing with coupled semiconductor optical amplifiers

Kristof VandoorneWouter DierckxBenjamin SchrauwenDavid VerstraetenPeter BienstmanRoel BaetsJan Van Campenhout

Pruning and regularization in Reservoir Computing: a first insight

Xavier DutoitBenjamin SchrauwenJan Van CampenhoutDirk StroobandtHendrik Van BrussselMarnix Nuttin

Stable Output Feedback in Reservoir Computing Using Ridge Regression

Francis wyffelsBenjamin SchrauwenDirk Stroobandt

System modeling with Reservoir Computing

Francis wyffelsBenjamin SchrauwenDirk Stroobandt

Toward optical signal processing using photonic reservoir computing

Kristof VandoorneWouter DierckxBenjamin SchrauwenDavid VerstraetenRoel BaetsPeter BienstmanJan Van Campenhout

A1 Journal Article in OPTICS EXPRESS

Using reservoir computing in a decomposition approach for time series prediction

Francis wyffelsBenjamin SchrauwenDirk Stroobandt

2007

Adapting reservoirs to get Gaussian distributions

David VerstraetenBenjamin SchrauwenJan Van Campenhout

An experimental unification of reservoir computing methods

David VerstraetenBenjamin SchrauwenMichiel D'HaeneDirk Stroobandt

A1 Journal Article in NEURAL NETWORKS

An overview of reservoir computing: theory, applications and implementations

Benjamin SchrauwenDavid VerstraetenJan Van Campenhout

Bat echolocation modelling using spike kernels with Support Vector Regression

B FONTAINEH PEREMANSBenjamin Schrauwen

Compact hardware for real-time speech recognition using a liquid state machine

Benjamin SchrauwenMichiel D'HaeneDavid VerstraetenJan Van Campenhout

Event detection and localization in mobile robot navigation using reservoir computing

Eric AntoneloBenjamin SchrauwenXavier DutoitDirk StroobandtMarnix Nuttin

Experiments with Reservoir Computing on the road sign problem

Eric AntoneloBenjamin SchrauwenDirk Stroobandt

Generative modeling of autonomous robots and their environments using reservoir computing

Eric AntoneloBenjamin SchrauwenJan Van Campenhout

A1 Journal Article in NEURAL PROCESSING LETTERS

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

Benjamin SchrauwenJan Van Campenhout

A1 Journal Article in NEUROCOMPUTING

The introduction of time-scales in Reservoir Computing, applied to isolated digits recognition

Benjamin SchrauwenJeroen DefourDavid VerstraetenJan Van Campenhout

2006

Accelerating event based simulation for multi-synapse spiking neural networks

Michiel D'HaeneBenjamin SchrauwenDirk Stroobandt

A1 Journal Article in ARTIFICIAL NEURAL NETWORKS ICANN 2006, PT 1

Backpropagation for population-temporal coded spiking neural networks

Benjamin SchrauwenJan Van Campenhout

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

Benjamin Schrauwen

Linking Non-binned Spike Train Kernels to Several Existing Spike Train Metrics

Benjamin SchrauwenJan Van Campenhout

On implementing reservoir computing

Benjamin Schrauwen

Parallel Hardware Implementation of a Broad Class of Spiking Neurons using Serial Arithmetic

Benjamin SchrauwenJan Van Campenhout

Reservoir-based techniques for speech recognition

David VerstraetenBenjamin SchrauwenDirk Stroobandt

The unified Reservoir Computing concept and its digital hardware implementations

David VerstraetenBenjamin SchrauwenMichiel D'HaeneDirk Stroobandt

2005

A hardware-friendly wavelet entropy codec for scalable video

Hendrik EeckhautHarald DevosBenjamin SchrauwenMark ChristiaensDirk Stroobandt

Compact Digital Hardware Implementations of Spiking Neural Networks

Benjamin SchrauwenMichiel D'Haene

Hardware-Friendly Wavelet Entropy Codec for Scalable Video

Hendrik EeckhautHarald DevosBenjamin SchrauwenMark ChristiaensDirk Stroobandt

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

Hendrik EeckhautMark ChristiaensBenjamin SchrauwenHarald DevosDirk Stroobandt

Isolated word recognition using a Liquid State Machine

David VerstraetenBenjamin SchrauwenDirk Stroobandt

Isolated word recognition with the Liquid State Machine: a case study

David VerstraetenBenjamin SchrauwenDirk StroobandtJan Van Campenhout

A1 Journal Article in INFORMATION PROCESSING LETTERS

Recognition of Isolated Digits using a Liquid State Machine

David VerstraetenBenjamin SchrauwenJan Van Campenhout

Reservoir Computing with Stochastic Bitstream Neurons

David VerstraetenBenjamin SchrauwenDirk Stroobandt

Speeding Up Dirac`s Entropy Codec

Hendrik EeckhautBenjamin SchrauwenMark ChristiaensJan Van Campenhout

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

Hendrik EeckhautBenjamin SchrauwenMark ChristiaensJan Van Campenhout

A2 Journal Article in WSEAS transactions on Information Science and Applications

2004

Ever considered SystemC?

Harald DevosHendrik EeckhautBenjamin SchrauwenMark ChristiaensDirk Stroobandt

Extending SpikeProp

Benjamin SchrauwenJan Van Campenhout

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

Benjamin SchrauwenJan Van Campenhout

Scalable and Hardware-friendly Wavelet Entropy Coding

Hendrik EeckhautMark ChristiaensHarald DevosBenjamin SchrauwenDirk Stroobandt

2003

BSA, a fast and accurate spike train encoding scheme

Benjamin SchrauwenJan Van Campenhout