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Computer Science

D-Index
42
Citations
7856
World Ranking
8348
National Ranking
155

Overview

Ricardo Chavarriaga is affiliated with the École Polytechnique Fédérale de Lausanne in Switzerland. Their research spans multiple areas primarily within neuroscience, with a focus on cognitive neuroscience, artificial intelligence, and cellular and molecular neuroscience.

Their work addresses neuroengineering and brain-computer interfaces, with a significant presence in the EEG and brain-computer interface domain. Additional research topics covered include neural dynamics and brain function, ethics in clinical research, visual perception and processing mechanisms, and virtual reality applications and impacts.

Ricardo Chavarriaga has contributed to the following recent papers:

  • International data governance for neuroscience (2021), published in Neuron
  • Mobile brain/body imaging of landmark-based navigation with high-density EEG (2021), published in European Journal of Neuroscience
  • Customizing skills for assistive robotic manipulators, an inverse reinforcement learning approach with error-related potentials (2021), published in Communications Biology
  • Machine-Learning Based Monitoring of Cognitive Workload in Rescue Missions With Drones (2022), published in IEEE Journal of Biomedical and Health Informatics
  • Towards a Governance Framework for Brain Data (2022), published in Neuroethics

Frequent co-authors collaborating with Ricardo Chavarriaga include:

  • José del R. Millán
  • Matthew L. Bolton
  • Luke
  • Michael C. Dorneich
  • Giancarlo Fortino

The venues where Ricardo Chavarriaga has most frequently published are:

  • IEEE Transactions on Human-Machine Systems
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Journal of Neural Engineering
  • iScience
  • Zenodo (CERN European Organization for Nuclear Research)

The main field of study for Ricardo Chavarriaga's work is Neuroscience. This broad field encompasses several specific subfields with their research contributions including:

  • Cognitive Neuroscience
  • Artificial Intelligence
  • Cellular and Molecular Neuroscience
  • Public Health, Environmental and Occupational Health
  • Social Psychology

Best Publications

  • 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

  • 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

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

    Iñaki Iturrate;Iñaki Iturrate;Ricardo Chavarriaga;Luis Montesano;Javier Minguez

  • Is there a geometric module for spatial orientation? Insights from a rodent navigation model.

    Denis Sheynikhovich;Ricardo Chavarriaga;Thomas Strösslin;Angelo Arleo

  • Brain-coupled interaction for semi-autonomous navigation of an assistive robot

    Xavier Perrin;Ricardo Chavarriaga;Francis Colas;Roland Siegwart

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

    Kyuhwa Lee;Dong Liu;Laetitia Perroud;Ricardo Chavarriaga

  • Non-Invasive Brain-Machine Interaction

    José del R. Millán;José del R. Millán;Pierre W. Ferrez;Pierre W. Ferrez;Ferran Galán;Ferran Galán;Eileen Lew;Eileen Lew

  • OPPORTUNITY: Towards opportunistic activity and context recognition systems

    Daniel Roggen;Kilian Forster;Alberto Calatroni;Thomas Holleczek

  • Benchmarking classification techniques using the Opportunity human activity dataset

    Hesam Sagha;Sundara Tejaswi Digumarti;Jose del R. Millan;Ricardo Chavarriaga

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

    Huaijian Zhang;Ricardo Chavarriaga;Zahra Khaliliardali;Lucian Andrei Gheorghe

  • Tiny noise, big mistakes: adversarial perturbations induce errors in brain–computer interface spellers

    Xiao Zhang;Dongrui Wu;Lieyun Ding;Hanbin Luo

  • Heading for new shores! Overcoming pitfalls in BCI design.

    Ricardo Chavarriaga;Melanie Fried-Oken;Sonja Kleih;Fabien Lotte

  • 2005 Special issue: Robust self-localisation and navigation based on hippocampal place cells

    Thomas Strösslin;Denis Sheynikhovich;Ricardo Chavarriaga;Wulfram Gerstner

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

    Gangadhar Garipelli;Ricardo Chavarriaga;José del R Millán

  • Multimodal Fusion of Muscle and Brain Signals for a Hybrid-BCI

    Robert Leeb;Hesam Sagha;Ricardo Chavarriaga;Jose del. R. Millan

  • Opportunistic human activity and context recognition

    D. Roggen;Gerhard Troster;P. Lukowicz;A. Ferscha

  • A computational model of parallel navigation systems in rodents.

    Ricardo Chavarriaga;Thomas Strösslin;Denis Sheynikhovich;Wulfram Gerstner

Frequent Co-Authors

José del R. Millán
José del R. Millán The University of Texas at Austin
Robert Leeb
Robert Leeb MindMaze
Daniel Roggen
Daniel Roggen University of Sussex
Alois Ferscha
Alois Ferscha Johannes Kepler University of Linz
Paul Lukowicz
Paul Lukowicz German Research Centre for Artificial Intelligence
Wulfram Gerstner
Wulfram Gerstner École Polytechnique Fédérale de Lausanne
Fabien Lotte
Fabien Lotte French Institute for Research in Computer Science and Automation - INRIA
Jocelyne Bloch
Jocelyne Bloch University of Lausanne

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