J. Millán

Ricardo Chavarriaga, José del R. Millán, Sarah Degallier, 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Detection of self-paced reaching movement intention from EEG signals

J. Millán, S. Silvoni, Ricardo Chavarriaga, 2012, Front. Neuroeng..

The IDIAP Brain-Computer Interface: An Asynchronous Multiclass Approach

José del R. Millán, Klaus-Robert Müller, Thilo Hinterberger, 2007 .

Modular organization of reaching and grasping movements investigated using EEG microstates

Silvestro Micera, Dimitri Van De Ville, José del R. Millán, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Non-invasive Brain-Actuated Interaction

Ricardo Chavarriaga, José del R. Millán, Pierre W. Ferrez, 2007, BVAI.

J. Millán, P. Ferrez, 2007 .

Quantification and reduction of visual load during BCI operation

José del R. Millán, Dae-Shik Kim, Kiuk Gwak, 2014, 2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Person Authentication Using Brainwaves (EEG) and Maximum A Posteriori Model Adaptation

José del R. Millán, Sébastien Marcel, J. Millán, 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Detecting Intentional Mental Transitions in an Asynchronous BCI

José del R. Millán, Pierre W. Ferrez, Ferran Galán, 2006 .

Online covert visuospatial attention based BCI: A study with neutral background and natural images

José del R. Millán, Robert Leeb, Luca Tonin, 2013 .

Adaptation of hybrid human-computer interaction systems using EEG error-related potentials

Ricardo Chavarriaga, Daniel Roggen, Jose del R. Millan, 2010, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology.

General principles of machine learning for brain-computer interfacing.

Ricardo Chavarriaga, Iñaki Iturrate, José Del R Millán, 2020, Handbook of clinical neurology.

The Cybathlon BCI race: Successful longitudinal mutual learning with two tetraplegic users

J. Millán, S. Perdikis, L. Tonin, 2018, PLoS biology.

Single trial prediction of self-paced reaching directions from EEG signals

J. Millán, S. Silvoni, Ricardo Chavarriaga, 2014, Front. Neurosci..

Applying Transfer Learning To Deep Learned Models For EEG Analysis pdf

Ricardo Chavarriaga, José del R. Millán, Coert Van Gemeren, 2019, ArXiv.

Benchmarking classification techniques using the Opportunity human activity dataset

Ricardo Chavarriaga, José del R. Millán, Gerhard Tröster, 2011, 2011 IEEE International Conference on Systems, Man, and Cybernetics.

BCI2000: A General-Purpose Software Platform for BCI

José del R. Millán, Klaus-Robert Müller, Thilo Hinterberger, 2007 .

The birth of the brain-controlled wheelchair

Ricardo Chavarriaga, José del R. Millán, Tom Carlson, 2012, 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Brain Correlates of Lane Changing Reaction Time in Simulated Driving

Lucian Gheorghe, Ricardo Chavarriaga, José del R. Millán, 2015, 2015 IEEE International Conference on Systems, Man, and Cybernetics.

Towards Noninvasive Hybrid Brain–Computer Interfaces: Framework, Practice, Clinical Application, and Beyond

Febo Cincotti, José del R. Millán, Donatella Mattia, 2015, Proceedings of the IEEE.

Freeing the visual channel by exploiting vibrotactile BCI feedback

José del R. Millán, Dae-Shik Kim, Kiuk Gwak, 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Steering timing prediction in a driving simulator task

Lucian Gheorghe, Ricardo Chavarriaga, José del R. Millán, 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Latency correction of error-related potentials reduces BCI calibration time

Ricardo Chavarriaga, José del R. Millán, Iñaki Iturrate, 2014 .

Spatio-temporal filtering for EEG error related potentials.

J. Millán, L. Montesano, Ricardo Chavarriaga, 2011 .

The OPPORTUNITY Framework and Data Processing Ecosystem for Opportunistic Activity and Context Recognition

Paul Lukowicz, Ricardo Chavarriaga, José del R. Millán, 2012 .

A Probabilistic Approach to Handle Missing Data for Multi-Sensory Activity Recognition

J. Millán, Ricardo Chavarriaga, Hesam Sagha, 2010, Ubicomp 2010.

Teaching brain-machine interfaces as an alternative paradigm to neuroprosthetics control

Ricardo Chavarriaga, José del R. Millán, Iñaki Iturrate, 2015, Scientific Reports.

Single trial analysis of slow cortical potentials: a study on anticipation related potentials

J. Millán, Ricardo Chavarriaga, Gangadhar Garipelli, 2013, Journal of neural engineering.

Unsupervised Adaptation to On-body Sensor Displacement in Acceleration-Based Activity Recognition

Ricardo Chavarriaga, José del R. Millán, Hamidreza Bayati, 2011, 2011 15th Annual International Symposium on Wearable Computers.

BMI: Lessons from tests with impaired users

José del R. Millán, J. Millán, 2014, BCI.

Motor Recovery After Stroke by Means of BCI-Guided Functional Electrical Stimulation

J. Millán, R. Leeb, A. Biasiucci, 2013 .

Inferring driver's turning direction through detection of error related brain activity

Lucian Gheorghe, Ricardo Chavarriaga, José del R. Millán, 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

The Opportunity challenge: A benchmark database for on-body sensor-based activity recognition

Ricardo Chavarriaga, José del R. Millán, Gerhard Tröster, 2013, Pattern Recognit. Lett..

EEG-based Brain-Computer Interface to support post-stroke motor rehabilitation of the upper limb

Febo Cincotti, José del R. Millán, Fabio Aloise, 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Errare machinale est: the use of error-related potentials in brain-machine interfaces

Ricardo Chavarriaga, José del R. Millán, Aleksander Sobolewski, 2014, Front. Neurosci..

Non-Invasive Brain-Actuated Control of a Mobile Robot

José del R. Millán, Wulfram Gerstner, Josep Mouriño, 2003, IJCAI.

To Err Is Human: Learning from Error Potentials in Brain-Computer Interfaces

Ricardo Chavarriaga, José del R. Millán, Pierre W. Ferrez, 2007 .

José del R. Millán, Pierre W. Ferrez, J. Millán, 2008, IEEE Transactions on Biomedical Engineering.

Robot arm reaching through neural inversions and reinforcement learning

José del R. Millán, Pedro Martín, J. Millán, 2000, Robotics Auton. Syst..

Personalized Neuroprosthetics

J. Millán, S. Micera, G. Courtine, 2013, Science Translational Medicine.

Continuous-Action Q-Learning

José del R. Millán, Daniele Posenato, Eric Dedieu, 2002, Machine Learning.

Noninvasive brain-actuated control of a mobile robot by human EEG

José del R. Millán, Wulfram Gerstner, Josep Mouriño, 2004, IEEE Transactions on Biomedical Engineering.

Building Reactive Path-Finders through Reinforcement Connectionist Learning: Three Issues and an Architecture

José del R. Millán, J. Millán, 1992, ECAI.

Control strategies for active lower extremity prosthetics and orthotics: a review

Robert Riener, Hannes Bleuler, Jeremy Olivier, 2015, Journal of NeuroEngineering and Rehabilitation.

Efficient learning of variable-resolution cognitive maps for autonomous indoor navigation

José del R. Millán, Angelo Arleo, Dario Floreano, 1999, IEEE Trans. Robotics Autom..

Collecting complex activity datasets in highly rich networked sensor environments

Paul Lukowicz, Ricardo Chavarriaga, José del R. Millán, 2010, 2010 Seventh International Conference on Networked Sensing Systems (INSS).

Specialization in multi-agent systems through learning

José del R. Millán, Javier Zamora, Antonio Murciano, 1997, Biological Cybernetics.

Electrocorticogram as a Brain-Computer Interface Signal Source

José del R. Millán, Klaus-Robert Müller, Thilo Hinterberger, 2007 .

BioSig: An Open-Source Software Library for BCI Research

José del R. Millán, Klaus-Robert Müller, Thilo Hinterberger, 2007 .

General Signal Processing and Machine Learning Tools for BCI Analysis

José del R. Millán, Klaus-Robert Müller, Thilo Hinterberger, 2007 .

Online Classifier Adaptation in High Frequency EEG

J. Millán, P. Ferrez, A. Buttfield, 2006 .

Increasing upper limb training intensity in chronic stroke using embodied virtual reality: a pilot study

J. Millán, O. Blanke, T. Schmidlin, 2017, Journal of NeuroEngineering and Rehabilitation.

BCI controlled neuromuscular electrical stimulation enables sustained motor recovery in chronic stroke victims

José del R. Millán, Robert Leeb, Andrea Biasiucci, 2016 .

Cortico-Muscular Coherence Is Reduced Acutely Post-stroke and Increases Bilaterally During Motor Recovery: A Pilot Study

J. Millán, H. Heinze, S. Perdikis, 2019, Front. Neurol..

Novice Shooters With Lower Pre-shooting Alpha Power Have Better Performance During Competition in a Virtual Reality Scenario

J. Millán, Michael Pereira, F. Argelaguet, 2018, Front. Psychol..

The use of intracranial recordings to decode human language: Challenges and opportunities

Brian N. Pasley, J. Millán, R. Knight, 2016, Brain and Language.

Brain‐computer interfaces for post‐stroke motor rehabilitation: a meta‐analysis

J. Millán, N. Birbaumer, S. Soekadar, 2018, Annals of clinical and translational neurology.

Neural Encoding of Auditory Features during Music Perception and Imagery: Insight into the Brain of a Piano Player Auditory Features and Music Imagery

Matthew K. Leonard, Brian N. Pasley, J. Millán, 2017, bioRxiv.

Neurotechnology-aided interventions for upper limb motor rehabilitation in severe chronic stroke

J. Millán, S. Micera, J. Donoghue, 2019, Brain : a journal of neurology.

Brain-Computer Interfaces for Post-Stroke Motor Rehabilitation: A Meta-Analysis

José del R. Millán, Junichi Ushiba, Niels Birbaumer, 2017, bioRxiv.

Brain-Machine Interfaces

J. Millán, 2013 .

Disentangling the origins of confidence in speeded perceptual judgments through multimodal imaging

J. Millán, O. Blanke, I. Iturrate, 2020, Proceedings of the National Academy of Sciences.

Disentangling the origins of confidence in speeded perceptual judgments through multimodal imaging

J. Millán, O. Blanke, D. Ville, 2018, Proceedings of the National Academy of Sciences.

An online EEG BCI based on covert visuospatial attention in absence of exogenous stimulation

L Tonin, R Leeb, J. Millán, 2013, Journal of neural engineering.

A Temporal Kernel-Based Model for Tracking Hand Movements from Neural Activities

José del R. Millán, Klaus-Robert Müller, Thilo Hinterberger, 2007 .

Advances in Cognitive Neural Prosthesis: Recognition of Neural Data with an Information-Theoretic Objective

José del R. Millán, Klaus-Robert Müller, Thilo Hinterberger, 2007 .

Graz-Brain-Computer Interface: State of Research

José del R. Millán, Klaus-Robert Müller, Thilo Hinterberger, 2007 .

Toward Brain-Computer Interfacing (Neural Information Processing)

Terrence J. Sejnowski, José del R. Millán, Klaus-Robert Müller, 2007 .

BCI Systems and Approaches

José del R. Millán, Klaus-Robert Müller, Thilo Hinterberger, 2007 .

Brain-Computer Interfaces

Ricardo Chavarriaga, José del R. Millán, J. Millán, 2012, This Pervasive Day.

Towards Implementation of Motor Imagery using Brain Connectivity Features

J. Millán, Ricardo Chavarriaga, H. Zhang, 2014 .

Uncovering EEG Correlates of Covert Attention in Soccer Goalkeepers: Towards Innovative Sport Training Procedures

J. Millán, R. Kulpa, Ricardo Chavarriaga, 2020, Scientific Reports.

Brain–Machine Interfaces: Your Brain in Action

J. Millán, J. Carmena, 2013, Front. Young Minds..

Decoding of two hand grasping types from EEG

Ricardo Chavarriaga, José del R. Millán, Iñaki Iturrate, 2016 .

Scanning the issue: The Plurality of Human BrainYComputer Interfacing

José del R. Millán, Gernot R. Müller-Putz, Klaus-Robert Müller, 2015 .

Brain-computer interfaces for stroke rehabilitation: summary of the 2016 BCI Meeting in Asilomar

J. Millán, V. Prabhakaran, S. Soekadar, 2018, Brain-Computer Interfaces.

Real-time EEG Feedback on Alpha Power Lateralization Leads to Behavioral Improvements in a Covert Attention Task

J. Millán, L. Tonin, C. Schneider, 2019, Brain Topography.

Brain-Computer Interfaces for Human-Computer Interaction and Games

Desney S. Tan, Anton Nijholt, Bernhard Graimann, 2008 .

Differential contributions of subthalamic beta rhythms and 1/f broadband activity to motor symptoms in Parkinson’s disease

J. Millán, R. Knight, J. Bloch, 2018, npj Parkinson's Disease.

Beta-driven closed-loop deep brain stimulation can compromise human motor behavior in Parkinson’s Disease

J. Millán, J. Bloch, E. Pralong, 2019, bioRxiv.

Invasive BCI Approaches

José del R. Millán, Klaus-Robert Müller, Thilo Hinterberger, 2007 .

Proceedings of the IEEE Conference on Cybernetics 2013

José del R. Millán, Ajith Abraham, Plamen Angelov, 2013 .

2020 International brain–computer interface competition: A review

J. Millán, K. Müller, Ji-Hoon Jeong, 2022, Frontiers in Human Neuroscience.

Program Overview

J. Millán, C. Wallraven, Seungjin Choi, 1986, Cardiology.

Norbert wiener panel session

Keith W. Hipel, José del R. Millán, Lawrence O. Hall, 2014, SMC 2014.

Brain–Computer Interfaces for Treatment of Focal Dystonia

J. Millán, R. Andersen, J. Brumberg, 2022, Movement disorders : official journal of the Movement Disorder Society.

EEG signature of breaks in embodiment in VR

J. Millán, R. Boulic, O. Blanke, 2022, bioRxiv.

A highly stable electrode with low electrode-skin impedance for wearable brain-computer interface.

J. Millán, Y. Jia, Ju-Chun Hsieh, 2022, Biosensors & bioelectronics.

Functional electrical stimulation driven by a brain–computer interface in acute and subacute stroke patients impacts beta power and long-range temporal correlation

J. Millán, R. Knight, H. Heinze, 2022, 2022 IEEE Workshop on Complexity in Engineering (COMPENG).

Learning to control a BMI-driven wheelchair for people with severe tetraplegia

J. Millán, Kyuhwa Lee, S. Perdikis, 2022, iScience.

Unsupervised adaptation for acceleration-based activity recognition: robustness to sensor displacement and rotation

J. Millán, Ricardo Chavarriaga, Hamidreza Bayati, 2013, Personal and Ubiquitous Computing.

Real-time EEG Feedback on Alpha Power Lateralization Leads to Behavioral Improvements in a Covert Attention Task

J. Millán, L. Tonin, C. Schneider, 2019, Brain Topography.

J. Millán, Ricardo Chavarriaga, I. Iturrate, 2022, bioRxiv.

An Approach to a Phase Model for Steady State Visually Evoked Potentials

J. Millán, Ricardo Chavarriaga, E. Caicedo, 2017 .

Sport Psychology: Technologies Ahead

J. Millán, D. Hauw, C. Jeunet, 2020, Frontiers in Sports and Active Living.

Vibrotactile Feedback for Brain-Computer Interface Operation

Febo Cincotti, Fabio Babiloni, Maria Grazia Marciani, 2007, Computational Intelligence and Neuroscience.

Learning of Sensor-Based Arm Motions while Executing High-Level Descriptions of Tasks

José del R. Millán, Pedro Martín, J. Millán, 1999, Auton. Robots.

Rapid, safe, and incremental learning of navigation strategies

José del R. Millán, J. Millán, 1996, IEEE Trans. Syst. Man Cybern. Part B.

Learning Signaling Behaviors and Specialization in Cooperative Agents

José del R. Millán, Antonio Murciano, J. Millán, 1996, Adapt. Behav..

Brain-computer interfaces: Definitions and principles.

Jonathan R Wolpaw, Nick F Ramsey, José Del R Millán, 2020, Handbook of clinical neurology.

A brain-actuated wheelchair: Asynchronous and non-invasive Brain–computer interfaces for continuous control of robots

M. Nuttin, F. Galán, E. Lew, 2008, Clinical Neurophysiology.

Inverse solutions for brain-computer interfaces: Effects of regularisation on localisation and classification

Ricardo Chavarriaga, José del R. Millán, Mohit Kumar Goel, 2017, 2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Invariability of EEG error-related potentials during continuous feedback protocols elicited by erroneous actions at predicted or unpredicted states

J. Millán, Ricardo Chavarriaga, I. Iturrate, 2021, Journal of neural engineering.

Peri-personal space encoding in patients with disorders of consciousness and cognitive-motor dissociation

José del R. Millán, Serafeim Perdikis, Andrea Serino, 2019, NeuroImage: Clinical.

Human EEG reveals distinct neural correlates of power and precision grasping types

Ricardo Chavarriaga, Robert Leeb, Tiffany Corbet, 2018, NeuroImage.

EEG topographies provide subject-specific correlates of motor control

Silvestro Micera, Dimitri Van De Ville, Elvira Pirondini, 2017, Scientific Reports.

Introduction to Devices, Applications and Users: Towards Practical BCIs Based on Shared Control Techniques

José del R. Millán, Robert Leeb, J. Millán, 2012 .

Neural Encoding of Auditory Features during Music Perception and Imagery: Insight into the Brain of a Piano Player Auditory Features and Music Imagery

Stefan Koelsch, Shihab Shamma, Stephanie Martin, 2017, bioRxiv.

On-line anomaly detection and resilience in classifier ensembles

Ricardo Chavarriaga, José del R. Millán, Hesam Sagha, 2013, Pattern Recognit. Lett..

Detecting anomalies to improve classification performance in opportunistic sensor networks

Ricardo Chavarriaga, José del R. Millán, Hesam Sagha, 2011, 2011 IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops).

Using Robust Principal Component Analysis to Reduce EEG Intra-Trial Variability

Ping-Keng Jao, Ricardo Chavarriaga, José del R. Millán, 2018, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Sensory threshold neuromuscular electrical stimulation fosters motor imagery performance

José del R. Millán, Iñaki Iturrate, Serafeim Perdikis, 2018, NeuroImage.

Quantifying Electrode Reliability During Brain–Computer Interface Operation

Ricardo Chavarriaga, José del R. Millán, Hesam Sagha, 2015, IEEE Transactions on Biomedical Engineering.

Asynchronous detection and classification of oscillatory brain activity

Ricardo Chavarriaga, José del R. Millán, Ferran Galán, 2008, 2008 16th European Signal Processing Conference.

Transferring brain-computer interfaces beyond the laboratory: Successful application control for motor-disabled users

José del R. Millán, Tom Carlson, Robert Leeb, 2013, Artif. Intell. Medicine.

Feature Selection Methods on Distributed Linear Inverse Solutions for a Non-Invasive Brain-Machine Interface

José del R. Millán, Pierre W. Ferrez, Laurent Uldry, 2007 .

The timing of exploratory decision-making revealed by single-trial topographic EEGanalyses

Ricardo Chavarriaga, José del R. Millán, Micah M. Murray, 2012, NeuroImage.

Neural Approaches to Robot Control: Four Representative Applications

José del R. Millán, Carme Torras, Gordon Wells, 1995, IWANN.

Opportunistic human activity and context recognition

Paul Lukowicz, Ricardo Chavarriaga, José del R. Millán, 2013, Computer.

Relevant EEG features for the classification of spontaneous motor-related tasks

Febo Cincotti, Fabio Babiloni, José del R. Millán, 2002, Biological Cybernetics.

Brain-Computer Interfaces

José del R. Millán, J. Millán, Ricardo Chavarriaga, 2015 .

Corticospinal neuroprostheses to restore locomotion after spinal cord injury

Jack DiGiovanna, David Borton, Janine Beauparlant, 2014, Neuroscience Research.

Non invasive Brain-Machine Interfaces Final Report

José del R. Millán, Pierre W. Ferrez, Anna Buttfield, 2007 .

On the Use of Brain Decoded Signals for Online User Adaptive Gesture Recognition Systems

Ricardo Chavarriaga, José del R. Millán, Gerhard Tröster, 2010, Pervasive.

A local neural classifier for the recognition of EEG patterns associated to mental tasks

Jukka Heikkonen, Febo Cincotti, Fabio Babiloni, 2002, IEEE Trans. Neural Networks.

EVOLUTION OF THE MENTAL STATES OPERATING A BRAIN-COMPUTER INTERFACE

José del R. Millán, Silvia Chiappa, R. Jane, 2002 .

Evaluating the performance of three feature sets for brain-computer interfaces with an early stopping MLP committee

Jukka Heikkonen, José del R. Millán, Markus Varsta, 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.

Local neural classifier for EEG-based recognition of mental tasks

F. Babiloni, F. Cincotti, J. Mourino, 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium.

Linear classification of low-resolution EEG patterns produced by imagined hand movements.

F Babiloni, F Cincotti, L Lazzarini, 2000, IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society.

mano: A Wearable Hand Exoskeleton for Activities of Daily Living and Neurorehabilitation

Serafeim Perdikis, Iñaki Iturrate, Luca Randazzo, 2018, IEEE Robotics and Automation Letters.

Decoding Inner Speech Using Electrocorticography: Progress and Challenges Toward a Speech Prosthesis

José del R. Millán, Robert T. Knight, Iñaki Iturrate, 2018, Front. Neurosci..

Classifier Adaptation in Brain-Computer Interfaces

J. Millán, A. Buttfield, 2006 .

Superposition model for Steady State Visually Evoked Potentials

Ricardo Chavarriaga, José del R. Millán, Wilfredo Alfonso, 2016, 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Electrically Assisted Movement Therapy in Chronic Stroke Patients With Severe Upper Limb Paresis: A Pilot, Single-Blind, Randomized Crossover Study.

J. Millán, S. Clarke, M. Murray, 2017, Archives of physical medicine and rehabilitation.

Improving Skills and Perception in Robot Navigation by an Augmented Virtuality Assistance System

José Manuel Andújar Márquez, José del R. Millán, Tom Carlson, 2014, J. Intell. Robotic Syst..

Uncovering EEG Correlates of Covert Attention in Soccer Goalkeepers: Towards Innovative Sport Training Procedures

J. Millán, R. Kulpa, Ricardo Chavarriaga, 2020, Scientific Reports.

Harnessing Prefrontal Cognitive Signals for Brain-Machine Interfaces.

Ricardo Chavarriaga, Byoung-Kyong Min, José Del R Millán, 2017, Trends in biotechnology.

Robot-learning - Three case studies in robotics and machine learning

Luis M. Camarinha-Matos, Marnix Nuttin, Attilio Giordana, 1994 .

Using Machine Learning Techniques in Real-World Mobile Robots

José del R. Millán, Rüdiger Dillmann, Frank Wallner, 1995, IEEE Expert.

Article in Press Robotics and Autonomous Systems ( ) – Robotics and Autonomous Systems Brain-coupled Interaction for Semi-autonomous Navigation of an Assistive Robot

Roland Siegwart, Ricardo Chavarriaga, José del R. Millán, 2022 .

Improving Human Performance in a Real Operating Environment through Real-Time Mental Workload Detection

José del R. Millán, Klaus-Robert Müller, Thilo Hinterberger, 2007 .

Fast Recognition of Anticipation-Related Potentials

Ricardo Chavarriaga, José del R. Millán, Garipelli Gangadhar, 2009, IEEE Transactions on Biomedical Engineering.

Vibrotactile Feedback for Brain-Computer Interface Operation

Febo Cincotti, Fabio Babiloni, Maria Grazia Marciani, 2007, Comput. Intell. Neurosci..

Brain Signals to Rescue Aphasia, Apraxia and Dysarthria Speech Recognition

Ahmed H Tewfik, Gautam Krishna, Co Tran, 2021, 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

Epileptic Activity Detection in EEG with Neural Networks

José del R. Millán, Markus Varsta, Jukka Heikkonen, 1997 .

Very high frequency oscillations (VHFO) as a predictor of movement intentions

José del R. Millán, Gregor Thut, Theodor Landis, 2006, NeuroImage.

Exploring Embedding Methods in Binary Hyperdimensional Computing: A Case Study for Motor-Imagery based Brain-Computer Interfaces pdf

Luca Benini, José del R. Millán, Abbas Rahimi, 2018, ArXiv.

Hyperdimensional Computing for Blind and One-Shot Classification of EEG Error-Related Potentials

Jan M. Rabaey, José del R. Millán, Abbas Rahimi, 2020, Mob. Networks Appl..

Action Monitoring Cortical Activity Coupled to Submovements

Aleksander Sobolewski, José Del R Millán, J. Millán, 2017, eNeuro.

Closed-loop EEG study on visual recognition during driving

Lucian Gheorghe, Ricardo Chavarriaga, Marija Uscumlic, 2021, Journal of neural engineering.

A brain-controlled exoskeleton with cascaded event-related desynchronization classifiers

Dong Liu, Ricardo Chavarriaga, José del R. Millán, 2017, Robotics Auton. Syst..

An Iterative Framework for EEG-based Image Search: Robust Retrieval with Weak Classifiers

Ricardo Chavarriaga, José del R. Millán, Marija Ušćumlić, 2013, PloS one.

Closed-loop electrical neurostimulation: Challenges and opportunities

José del R. Millán, Michael Pereira, Iñaki Iturrate, 2018, Current Opinion in Biomedical Engineering.

Phase-based features for motor imagery brain-computer interfaces

José del R. Millán, Benjamin Hamner, Robert Leeb, 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

A reinforcement connectionist approach to robot path finding in non-maze-like environments

José del R. Millán, Carme Torras, J. Millán, 1992, Machine Learning.

Stopping vs Resting state during motor imagery paradigm

J. Millán, Kyuhwa Lee, Ricardo Chavarriaga, 2021, bioRxiv.

User Adaptation to Closed-Loop Decoding of Motor Imagery Termination

Ricardo Chavarriaga, Bastien Orset, Kyuhwa Lee, 2020, IEEE Transactions on Biomedical Engineering.

Motor Attempt EEG Paradigm as a Diagnostic Tool for Disorders of Consciousness

José del R. Millán, Christoph Schneider, Serafeim Perdikis, 2018, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Decoding of Self-paced Lower-Limb Movement Intention: A Case Study on the Influence Factors

Dong Liu, Ricardo Chavarriaga, José del R. Millán, 2017, Front. Hum. Neurosci..

An EEG-based brain-computer interface for gait training

Dong Liu, José del R. Millán, Weihai Chen, 2017, 2017 29th Chinese Control And Decision Conference (CCDC).

Towards Independence: A BCI Telepresence Robot for People With Severe Motor Disabilities

José del R. Millán, Tom Carlson, Lorenzo Desideri, 2015, Proceedings of the IEEE.

Subject-oriented training for motor imagery brain-computer interfaces

José del R. Millán, Robert Leeb, Serafeim Perdikis, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

EEG-Based Brain-Computer Interaction: Improved Accuracy by Automatic Single-Trial Error Detection

José del R. Millán, Pierre W. Ferrez, J. Millán, 2007, NIPS.

Moving Brain-Controlled Devices Outside the Lab: Principles and Applications

Ricardo Chavarriaga, José del R. Millán, Iñaki Iturrate, 2015 .

Brain–Computer Interfaces and Assistive Technology

Gernot R. Müller-Putz, Robert Leeb, Rüdiger Rupp, 2014 .

Simultaneous Real-Time Detection of Motor Imagery and Error-Related Potentials for Improved BCI Accuracy

José del R. Millán, Pierre W. Ferrez, J. Millán, 2008 .

Adaptation in Brain-Computer Interfaces

José del R. Millán, Klaus-Robert Müller, Thilo Hinterberger, 2007 .

EEG-Based Online Regulation of Difficulty in Simulated Flying

Ping-Keng Jao, Ricardo Chavarriaga, José del R. Millán, 2023, IEEE Transactions on Affective Computing.

Behavioral and Cortical Effects during Attention Driven Brain-Computer Interface Operations in Spatial Neglect: A Feasibility Case Study

José del R. Millán, Emanuele Menegatti, Francesco Piccione, 2017, Front. Hum. Neurosci..

Modulation of the inter-hemispheric asymmetry of motor-related brain activity using brain-computer interfaces

José del R. Millán, Michael Pereira, Aleksander Sobolewski, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

BNCI Horizon 2020: Towards a Roadmap for the BCI Community

José del R. Millán, Antinus Nijholt, Clemens Brunner, 2015 .

EEG-based decoding of error-related brain activity in a real-world driving task

R Chavarriaga, I Iturrate, H Zhang, 2015, Journal of neural engineering.

Decoding Neural Correlates of Cognitive States to Enhance Driving Experience

Lucian Gheorghe, Ricardo Chavarriaga, José del R. Millán, 2018, IEEE Transactions on Emerging Topics in Computational Intelligence.

Brain-Machine Interfaces: A Tale of Two Learners

Serafeim Perdikis, Jose del R. Millan, J. Millán, 2020, IEEE Systems, Man, and Cybernetics Magazine.

Word pair classification during imagined speech using direct brain recordings

José del R. Millán, Robert T. Knight, Iñaki Iturrate, 2016 .

Individual Word Classification During Imagined Speech Using Intracranial Recordings

José del R. Millán, Robert T. Knight, Iñaki Iturrate, 2019, Brain-Computer Interface Research.

Customizing skills for assistive robotic manipulators, an inverse reinforcement learning approach with error-related potentials

J. Millán, A. Billard, Ricardo Chavarriaga, 2020, Communications Biology.

Endogenous Control of Powered Lower-Limb Exoskeleton

Ricardo Chavarriaga, Kyuhwa Lee, José del R. Millán, 2017 .

Self-paced movement intention detection from human brain signals: Invasive and non-invasive EEG

Ricardo Chavarriaga, José del R. Millán, Margitta Seeck, 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Control strategies for active lower extremity prosthetics and orthotics: a review

J. Millán, R. Riener, R. Gassert, 2015, Journal of NeuroEngineering and Rehabilitation.

Increasing upper limb training intensity in chronic stroke using embodied virtual reality: a pilot study

J. Millán, O. Blanke, T. Schmidlin, 2017, Journal of NeuroEngineering and Rehabilitation.

First steps towards adaptive deep brain stimulation in Parkinson’s disease

J. Millán, J. Bloch, E. Pralong, 2016 .

Shared Intelligence for Robot Teleoperation via BMI

J. Millán, L. Tonin, E. Menegatti, 2022, IEEE Transactions on Human-Machine Systems.

Inferring subjective preferences on robot trajectories using EEG signals

Ricardo Chavarriaga, José del R. Millán, Aude Billard, 2019, 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER).

Brain–machine interface: closer to therapeutic reality?

Silvestro Micera, Grégoire Courtine, José del R Millán, 2013, The Lancet.

Anticipation- and error-related EEG signals during realistic human-machine interaction: A study on visual and tactile feedback

Roland Siegwart, Ricardo Chavarriaga, José del R. Millán, 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

You Are Wrong! - Automatic Detection of Interaction Errors from Brain Waves

José del R. Millán, Pierre W. Ferrez, J. Millán, 2005, IJCAI.

An Introduction to Brain-Computer Interfacing

José del R. Millán, Klaus-Robert Müller, Thilo Hinterberger, 2007 .

Brain-Computer Interfaces for Communication and Motor Control—Perspectives on Clinical Applications

José del R. Millán, Klaus-Robert Müller, Thilo Hinterberger, 2007 .

Principles of Hybrid Brain–Computer Interfaces

José del R. Millán, Brendan Z. Allison, Clemens Brunner, 2012 .

Adaptive brain interfaces

José del R. Millán, J. Millán, K. Kaski, 1999, IWANN.

Brain-Computer Interfacing for Intelligent Systems

Desney S. Tan, José del R. Millán, Anton Nijholt, 2008, IEEE Intelligent Systems.

Running title: Carda S, ELECTRICALLY ASSISTED MOVEMENT THERAPY ELECTRICALLY ASSISTED MOVEMENT THERAPY IN CHRONIC STROKE PATIENTS WITH SEVERE UPPER LIMB PARESIS: A PILOT, SINGLE BLIND, RANDOMIZED CROSSOVER STUDY

J. Millán, S. Clarke, M. Murray, 2022 .

Reinforcement connectionist learning for robot path finding: a comparative study

José del R. Millán, Carme Torras, J. Millán, 1991 .

Reinforcement Learning of Collision-free Motions for a Robot Arm with a Sensing Skin

José del R. Millán, Pedro Martín, J. Millán, 1998 .

Learning reaching strategies through reinforcement for a sensor-based manipulator

José del R. Millán, Pedro Martín, J. Millán, 1998, Neural Networks.

A modular reinforcement-based neural controller for a three-link manipulator

José del R. Millán, Pedro Martín, J. Millán, 1997, Proceedings of the 1997 IEEE/RSJ International Conference on Intelligent Robot and Systems. Innovative Robotics for Real-World Applications. IROS '97.

Reinforcement learning of sensor-based reaching strategies for a two-link manipulator

José del R. Millán, Pedro Martín, J. Millán, 1996, Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems. IROS '96.

Hyperdimensional computing for noninvasive brain-computer interfaces: Blind and one-shot classification of EEG error-related potentials

Jan M. Rabaey, José del R. Millán, Abbas Rahimi, 2017 .

Hair-compatible sponge electrodes integrated on VR headset for electroencephalography

J. Millán, L. Sentis, N. Lu, 2023, Soft Science.

Long-Term Stable Control of Motor-Imagery BCI by a Locked-In User Through Adaptive Assistance

Ricardo Chavarriaga, José del R. Millán, Sareh Saeedi, 2017, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

Noninvasive Brain-Machine Interfaces for Robotic Devices

Luca Tonin, José del R. Millán, J. Millán, 2021, Annu. Rev. Control. Robotics Auton. Syst..

Augmenting Astronaut's Capabilities through Brain-Machine Interfaces

José del R. Millán, Carlo Menon, M. Broschart, 2007, IJCAI 2007.

Context-Based Filtering for Assisted Brain-Actuated Wheelchair Driving

José del R. Millán, Hendrik Van Brussel, Pierre W. Ferrez, 2007, Comput. Intell. Neurosci..

Detecting and Rectifying Anomalies in Body Sensor Networks

Ricardo Chavarriaga, José del R. Millán, Hesam Sagha, 2011, 2011 International Conference on Body Sensor Networks.

Learning and stabilization of altruistic behaviors in multi-agent systems by reciprocity

José del R. Millán, Javier Zamora, Antonio Murciano, 1997, Proceedings 1997 IEEE International Symposium on Computational Intelligence in Robotics and Automation CIRA'97. 'Towards New Computational Principles for Robotics and Automation'.

Word pair classification during imagined speech using direct brain recordings

Iñaki Iturrate, Gerwin Schalk, Peter Brunner, 2016, Scientific Reports.

The BCI competition III: validating alternative approaches to actual BCI problems

G. Pfurtscheller, K.-R. Muller, B. Blankertz, 2006, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

OPPORTUNITY: Towards opportunistic activity and context recognition systems

Paul Lukowicz, Kai Kunze, Ricardo Chavarriaga, 2009, 2009 IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks & Workshops.

Robust activity recognition combining anomaly detection and classifier retraining

Ricardo Chavarriaga, José del R. Millán, Gerhard Tröster, 2013, 2013 IEEE International Conference on Body Sensor Networks.

Ensemble creation and reconfiguration for activity recognition: An information theoretic approach

Ricardo Chavarriaga, José del R. Millán, Hesam Sagha, 2011, 2011 IEEE International Conference on Systems, Man, and Cybernetics.

EEG-Based Lower-Limb Movement Onset Decoding: Continuous Classification and Asynchronous Detection

Dong Liu, Ricardo Chavarriaga, José del R. Millán, 2018, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

Brain-Controlled Wheelchairs: A Robotic Architecture

José del R. Millán, Tom Carlson, J. Millán, 2013, IEEE Robotics & Automation Magazine.

Robust, accurate spelling based on error-related potentials

Ricardo Chavarriaga, José del R. Millán, Iñaki Iturrate, 2016 .

Brain-controlled telepresence robot by motor-disabled people

José del R. Millán, Tom Carlson, Robert Leeb, 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Context-aware adaptive spelling in motor imagery BCI

R Leeb, S Perdikis, J D R Millán, 2016, Journal of neural engineering.

Bayesian plan recognition for Brain-Computer Interfaces

José del R. Millán, Hendrik Van Brussel, Eric Demeester, 2009, 2009 IEEE International Conference on Robotics and Automation.

Prospects of brain-machine interfaces for space system control

Luca Citi, José del R. Millán, Carlo Menon, 2006 .

A hybrid brain–computer interface based on the fusion of electroencephalographic and electromyographic activities

Ricardo Chavarriaga, Robert Leeb, Hesam Sagha, 2011, Journal of neural engineering.

Differential contributions of subthalamic beta rhythms and neural noise to Parkinson motor symptoms

Ricardo Chavarriaga, José del R. Millán, Robert T. Knight, 2018, bioRxiv.

Brain-actuated functional electrical stimulation elicits lasting arm motor recovery after stroke

J. Millán, A. Schnider, R. Leeb, 2018, Nature Communications.

Decoding fast-paced error-related potentials in monitoring protocols

Ricardo Chavarriaga, José del R. Millán, Iñaki Iturrate, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Clinical evaluation of BrainTree, a motor imagery hybrid BCI speller

E-J Hoogerwerf, R Leeb, S Perdikis, 2014, Journal of neural engineering.

Personalized Neuroprosthetics

J. Millán, S. Micera, G. Courtine, 2013, Science Translational Medicine.

Noninvasive brain-actuated control of a mobile robot by human EEG

J. Millán, W. Gerstner, J. Mouriño, 2004, IEEE Transactions on Biomedical Engineering.

Iterative EEG-based Natural Image Search under RSVP

José del R. Millán, Ricardo Chavarriaga Lozano, Marija Uscumlic, 2013 .

Quantifying Electrode Reliability During Brain–Computer Interface Operation

J. Millán, Ricardo Chavarriaga, S. Perdikis, 2015, IEEE Transactions on Biomedical Engineering.

Quantifying Electrode Reliability during Brain-computer Interface Operation

J. Millán, Ricardo Chavarriaga, S. Perdikis, 2022 .

Invasive or noninvasive: understanding brain-machine interface technology.

Jose M Carmena, José del R Millán, J. Millán, 2010, IEEE engineering in medicine and biology magazine : the quarterly magazine of the Engineering in Medicine & Biology Society.

Differential contributions of subthalamic beta rhythms and 1/f broadband activity to motor symptoms in Parkinson’s disease

J. Millán, R. Knight, J. Bloch, 2018, npj Parkinson's Disease.

Towards natural non-invasive hand neuroprostheses for daily living

Robert Leeb, Jose del R. Millan, Michele Tavella, 2010, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology.

On the road to a neuroprosthetic hand: A novel hand grasp orthosis based on functional electrical stimulation

Robert Leeb, Michele Tavella, J. Millán, 2010, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology.

BCI-NMES therapy enhances effective connectivity in the damaged hemisphere in stroke patients

J. Millán, R. Leeb, S. Perdikis, 2016 .

EEG Correlates of Difficulty Levels in Dynamical Transitions of Simulated Flying and Mapping Tasks

Ping-Keng Jao, Ricardo Chavarriaga, David Atienza, 2021, IEEE Transactions on Human-Machine Systems.

Real-time Detection of Driver’s Movement Intention in Response to Traffic Lights

Ricardo Chavarriaga, José del R. Millán, Serafeim Perdikis, 2019, bioRxiv.

Action prediction based on anticipatory brain potentials during simulated driving

Ricardo Chavarriaga, José del R Millán, Zahra Khaliliardali, 2015, Journal of neural engineering.

tDCS Modulates Motor Imagery-Related BCI Features

Ricardo Chavarriaga, José del R. Millán, Antonio Oliviero, 2013 .

Brain-Machine Interfaces: A Tale of Two Learners

J. Millán, S. Perdikis, 2020, IEEE Systems, Man, and Cybernetics Magazine.

Selective Enhancement of Motor Imagery Features Using Transcranial Direct Current Stimulation

J. Millán, A. Oliviero, Ricardo Chavarriaga, 2013 .

Discriminant brain connectivity patterns of performance monitoring at average and single-trial levels

Ricardo Chavarriaga, José del R. Millán, Huaijian Zhang, 2015, NeuroImage.

Asynchronous non-invasive brain-actuated control of an intelligent wheelchair

J. Millán, M. Nuttin, F. Galán, 2009, 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Brain-computer interface research at the Wadsworth Center.

D J McFarland, J R Wolpaw, T M Vaughan, 2000, IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society.

Towards Independence: A BCI Telepresence Robot for People With Severe Motor Disabilities

J. Millán, R. Leeb, L. Tonin, 2015, Proceedings of the IEEE.

ROS-Neuro: A common middleware for BMI and robotics. The acquisition and recorder packages

Emanuele Menegatti, Luca Tagliapietra, Luca Tonin, 2019, 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC).

ROS-health: An open-source framework for neurorobotics

José del R. Millán, Emanuele Menegatti, Roberto Bortoletto, 2018, 2018 IEEE International Conference on Simulation, Modeling, and Programming for Autonomous Robots (SIMPAR).

The Use of Brain-Computer Interfacing in Ambient Intelligence

Ricardo Chavarriaga, José del R. Millán, Pierre W. Ferrez, 2007, AmI Workshops.

Haptic Feedback Compared with Visual Feedback for BCI

José del R. Millán, Fabio Aloise, Marnix Nuttin, 2006 .

A brain-actuated wheelchair: Asynchronous and non-invasive Brain–computer interfaces for continuous control of robots

J. Millán, M. Nuttin, G. Vanacker, 2008, Clinical Neurophysiology.

Non-invasive estimation of local field potentials for neuroprosthesis control

José del R. Millán, Pierre W. Ferrez, Rolando Grave de Peralta Menendez, 2005, Cognitive Processing.

Spatial filters yield stable features for error-related potentials across conditions

Ricardo Chavarriaga, José del R. Millán, Iñaki Iturrate, 2016, 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Improved recognition of error related potentials through the use of brain connectivity features

Lucian Gheorghe, Ricardo Chavarriaga, José del R. Millán, 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.