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Computer Science

D-Index
74
Citations
23353
World Ranking
1485
National Ranking
775

Research.com Recognitions

  • 2017 - IEEE Fellow For contributions to brain-controlled robots

Overview

José del R. Millán is affiliated with The University of Texas at Austin in the United States. Their research primarily spans the field of Neuroscience, with a significant focus on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Electrical and Electronic Engineering, Human-Computer Interaction, and Biomedical Engineering.

The main topics of their work include:

  • EEG and Brain-Computer Interfaces
  • Neuroscience and Neural Engineering
  • Neural dynamics and brain function
  • Neural and Behavioral Psychology Studies
  • Functional Brain Connectivity Studies
  • Advanced Memory and Neural Computing
  • Gaze Tracking and Assistive Technology

Frequent publication venues for José del R. Millán include:

  • IEEE Transactions on Human-Machine Systems
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Journal of Neural Engineering
  • Handbook of clinical neurology
  • Scientific Reports

Recent papers authored or co-authored by José del R. Millán include:

  • Brain-computer interfaces: Definitions and principles, 2020, Handbook of clinical neurology
  • Brain-Machine Interfaces: A Tale of Two Learners, 2020, IEEE Systems Man and Cybernetics Magazine
  • Disentangling the origins of confidence in speeded perceptual judgments through multimodal imaging, 2020, Proceedings of the National Academy of Sciences
  • A highly stable electrode with low electrode-skin impedance for wearable brain-computer interface, 2022, Biosensors and Bioelectronics
  • Noninvasive Brain-Machine Interfaces for Robotic Devices, 2020, Annual Review of Control Robotics and Autonomous Systems

Frequent co-authors collaborating with José del R. Millán include:

  • Ricardo Chavarriaga
  • Matthew L. Bolton
  • Luke
  • Michael C. Dorneich
  • Giancarlo Fortino

José del R. Millán received the IEEE Fellow award in 2017 for contributions to brain-controlled robots.

Best Publications

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

    B. Blankertz;K.-R. Muller;D.J. Krusienski;G. Schalk

  • Combining Brain-Computer Interfaces and Assistive Technologies: State-of-the-Art and Challenges.

    José del R. Millán;Rüdiger Rupp;Gernot Müller-Putz;Rod Murray-Smith

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

    Jd.R. Millan;F. Renkens;J. Mourino;W. Gerstner

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

    Michael R Tucker;Jeremy Olivier;Anna Pagel;Hannes Bleuler

  • Collecting complex activity datasets in highly rich networked sensor environments

    Daniel Roggen;Alberto Calatroni;Mirco Rossi;Thomas Holleczek

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

    Ricardo Chavarriaga;Hesam Sagha;Alberto Calatroni;Sundara Tejaswi Digumarti

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

    S. Marcel;J.D.R. Millan

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

    A Biasiucci;R Leeb;I Iturrate;S Perdikis

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

    María A. Cervera;Surjo R. Soekadar;Junichi Ushiba;José del R. Millán

  • Brain-Computer Interfacing for Intelligent Systems

    A. Nijholt;D. Tan

  • Learning From EEG Error-Related Potentials in Noninvasive Brain-Computer Interfaces

    R Chavarriaga;José del R. Millán

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

    Ricardo Chavarriaga;Aleksander Sobolewski;José del R. Millán

  • Detection of self-paced reaching movement intention from EEG signals

    Eileen Lew;Ricardo Chavarriaga;Stefano Silvoni;José del R. Millán

  • A hybrid brain-computer interface based on the fusion of electroencephalographic and electromyographic activities.

    Robert Leeb;Hesam Sagha;Ricardo Chavarriaga;José del R Millán

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

    J. del R Millan;J. Mourino;M. Franze;F. Cincotti

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

    Michael Pereira;Ferran Argelaguet;José del R. Millán;Anatole Lécuyer

  • BNCI Horizon 2020: Towards a Roadmap for the BCI Community

    Clemens Brunner;Niels Birbaumer;Benjamin Blankertz;Christoph Guger

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

    Guido Dornhege;José del R. Millán;Thilo Hinterberger;Dennis J. McFarland

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

    F. Babiloni;F. Cincotti;L. Lazzarini;J. Millan

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

    Robert Leeb;Luca Tonin;Martin Rohm;Lorenzo Desideri

  • Transferring brain-computer interfaces beyond the laboratory

    Robert Leeb;Serafeim Perdikis;Luca Tonin;Andrea Biasiucci

  • You are wrong!: automatic detection of interaction errors from brain waves

    Pierre W. Ferrez;José Del R. Millán

  • An Introduction to Brain-Computer Interfacing

    Guido Dornhege;José del R. Millán;Thilo Hinterberger;Dennis J. McFarland

Frequent Co-Authors

Ricardo Chavarriaga
Ricardo Chavarriaga École Polytechnique Fédérale de Lausanne
Robert Leeb
Robert Leeb MindMaze
Klaus-Robert Müller
Klaus-Robert Müller Technical University of Berlin
Dennis J. McFarland
Dennis J. McFarland Wadsworth Center
Febo Cincotti
Febo Cincotti Sapienza University of Rome
Daniel Roggen
Daniel Roggen University of Sussex
Donatella Mattia
Donatella Mattia Sapienza University of Rome
Gernot R. Müller-Putz
Gernot R. Müller-Putz Graz University of Technology
Robert T. Knight
Robert T. Knight University of California, Berkeley

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