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Jose L. Contreras-Vidal

Jose L. Contreras-Vidal

D-Index & Metrics

Neuroscience

D-Index
57
Citations
11904
World Ranking
4336
National Ranking
1967

Overview

Jose L. Contreras-Vidal is affiliated with the University of Houston in the United States. Their research spans multiple fields, primarily focusing on neuroscience and engineering. Within neuroscience, they have a strong emphasis on cognitive neuroscience and cellular and molecular neuroscience. Their engineering work is closely related to biomedical engineering, particularly in rehabilitation and physical therapy.

The scientist's main topics of research include EEG and brain-computer interfaces, muscle activation and electromyography studies, neuroscience and neural engineering, neural dynamics and brain function, stroke rehabilitation and recovery, functional brain connectivity studies, and neuroscience and music perception.

Frequent coauthors collaborating with Jose L. Contreras-Vidal include Akshay Sujatha Ravindran, Gerard E. Francisco, Jesús G. Cruz-Garza, Mauricio A. Ramírez-Moreno, and Andrew Paek.

Publications by this researcher have appeared repeatedly in several venues, notably:

  • Journal of Neural Engineering
  • bioRxiv (Cold Spring Harbor Laboratory)
  • F1000Research
  • Sensors
  • Scientific Reports

Recent papers contributed by Jose L. Contreras-Vidal include the following works:

  • "An empirical comparison of neural networks and machine learning algorithms for EEG gait decoding," 2020, Scientific Reports
  • "Neural activity modulations and motor recovery following brain-exoskeleton interface mediated stroke rehabilitation," 2020, NeuroImage Clinical
  • "Effects of an exoskeleton-assisted gait training on post-stroke lower-limb muscle coordination," 2021, Journal of Neural Engineering
  • "Sensory Integration in Human Movement: A New Brain-Machine Interface Based on Gamma Band and Attention Level for Controlling a Lower-Limb Exoskeleton," 2020, Frontiers in Bioengineering and Biotechnology
  • "The state of clinical trials of implantable brain-computer interfaces," 2024, Nature Reviews Bioengineering

Best Publications

  • Deep learning for electroencephalogram (EEG) classification tasks: a review.

    Alexander Craik;Yongtian He;Jose L Contreras-Vidal

  • Parkinsonism reduces coordination of fingers, wrist, and arm in fine motor control

    Hans Leo Teulings;José L. Contreras-Vidal;George E. Stelmach;Charles H. Adler

  • Reconstructing Three-Dimensional Hand Movements from Noninvasive Electroencephalographic Signals

    Trent J. Bradberry;Rodolphe J. Gentili;Rodolphe J. Gentili;José L. Contreras-Vidal

  • Adaptation to gradual as compared with sudden visuo-motor distortions.

    Florian A. Kagerer;José L. Contreras-Vidal;George E. Stelmach

  • The H2 robotic exoskeleton for gait rehabilitation after stroke: early findings from a clinical study

    Magdo Bortole;Magdo Bortole;Anusha Venkatakrishnan;Anusha Venkatakrishnan;Fangshi Zhu;Juan C Moreno

  • Visuomotor adaptation in normal aging.

    Ethan R. Buch;Sereniti Young;José L. Contreras-Vidal

  • Neural decoding of treadmill walking from noninvasive electroencephalographic signals.

    Alessandro Presacco;Ronald Goodman;Larry Forrester;Larry Forrester;Jose Luis Contreras-Vidal

  • High accuracy decoding of user intentions using EEG to control a lower-body exoskeleton

    Atilla Kilicarslan;Saurabh Prasad;Robert G. Grossman;Jose L. Contreras-Vidal

  • Brain-machine interfaces for controlling lower-limb powered robotic systems.

    Yongtian He;David Eguren;José M Azorín;José M Azorín;Robert G Grossman

  • Powered exoskeletons for bipedal locomotion after spinal cord injury

    Jose L Contreras-Vidal;Nikunj A Bhagat;Justin Brantley;Jesus G Cruz-Garza

  • Elderly subjects are impaired in spatial coordination in fine motor control

    José L. Contreras-Vidal;Hans L. Teulings;George E. Stelmach

  • Design and Optimization of an EEG-Based Brain Machine Interface (BMI) to an Upper-Limb Exoskeleton for Stroke Survivors

    Nikunj A. Bhagat;Anusha Venkatakrishnan;Berdakh Abibullaev;Edward J. Artz

  • A robust adaptive denoising framework for real-time artifact removal in scalp EEG measurements

    Atilla Kilicarslan;Robert G Grossman;Robert G Grossman;Jose Luis Contreras-Vidal;Jose Luis Contreras-Vidal

  • Risk management and regulations for lower limb medical exoskeletons: a review.

    Yongtian He;David Eguren;Trieu Phat Luu;Jose L Contreras-Vidal

  • A neural model of cerebellar learning for arm movement control: cortico-spino-cerebellar dynamics.

    Jose L. Contreras-Vidal;Stephen Grossberg;Daniel Bullock

  • Parkinsons disease and the control of size and speed in handwriting

    A.w.a.Van Gemmert;H.-L Teulings;J.L Contreras-Vidal;G.e Stelmach

  • Decoding Intra-Limb and Inter-Limb Kinematics During Treadmill Walking From Scalp Electroencephalographic (EEG) Signals

    A. Presacco;L. W. Forrester;J. L. Contreras-Vidal

  • A neural model of basal ganglia-thalamocortical relations in normal and parkinsonian movement

    José Luis Contreras-Vidal;George E. Stelmach

  • Adaptation of handwriting size under distorted visual feedback in patients with Parkinson's disease and elderly and young controls

    H. L. Teulings;J. L. Contreras-Vidal;G. E. Stelmach;C. H. Adler

  • Negligible Motion Artifacts in Scalp Electroencephalography (EEG) During Treadmill Walking.

    Kevin Nathan;Kevin Nathan;Jose L. Contreras-Vidal;Jose L. Contreras-Vidal

  • Effects of Parkinson's disease on visuomotor adaptation.

    José L. Contreras-Vidal;Ethan R. Buch

Frequent Co-Authors

George E. Stelmach
George E. Stelmach Arizona State University
Bradley D. Hatfield
Bradley D. Hatfield University of Maryland, College Park
Jane E. Clark
Jane E. Clark University of Maryland, College Park
Leigh R. Hochberg
Leigh R. Hochberg Harvard University
Allen R. Braun
Allen R. Braun Uniformed Services University of the Health Sciences
David Poeppel
David Poeppel New York University
Amy J. Bastian
Amy J. Bastian Kennedy Krieger Institute
Hasan Ayaz
Hasan Ayaz Drexel University
Michael V. Sofroniew
Michael V. Sofroniew University of California, Los Angeles
Barry Horwitz
Barry Horwitz National Institutes of Health

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