Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Case Report: Spontaneous regression of cystic renal cell carcinoma.

Frontiers in oncology·2026
Same author

Progress of Non-Aqueous Liquid Electrolytes for High-Voltage Sodium-Ion Batteries.

Small (Weinheim an der Bergstrasse, Germany)·2026
Same author

Deciphering the molecular mechanisms of fluoxetine-induced sexual dysfunction: Evidence from pharmacovigilance, network toxicology, and molecular docking.

Progress in neuro-psychopharmacology & biological psychiatry·2026
Same author

Integrated transcriptomic, molecular docking, and mendelian randomization analysis reveal a microbial-propionate-JUN pathway in renal ischemia-reperfusion injury.

Virulence·2026
Same author

Electroencephalogram-based multimodal attention level classification using deep learning techniques.

Frontiers in human neuroscience·2026
Same author

Real-time channel selection for enhanced steady-state visual evoked potentials online brain-computer interface systems.

Journal of neuroscience methods·2026
Same journal

Analysis of End-Tidal CO2 Variability During Plateau Waves Episodes: An Information Theoretic Approach<sup></sup>.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same journal

AI and Tomosynthesis for Breast Cancer Molecular Subtyping: A step toward precision medicine<sup></sup>.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same journal

Towards Sustainable Protein Recovery from Biological Waste: Assessing Polyethersulfone-based Microfiltration.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same journal

Analysis of the cardiovascular response to standardized polymicrobial peritonitis experimental model.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same journal

Automated Wrist Ultrasound Image Bone Enhancement and Segmentation Using Deep Learning.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same journal

A Deep Learning approach for Depressive Symptoms assessment in Parkinson's disease patients using facial videos.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
See all related articles

Related Experiment Video

Updated: Jan 9, 2026

SSVEP-based Experimental Procedure for Brain-Robot Interaction with Humanoid Robots
11:01

SSVEP-based Experimental Procedure for Brain-Robot Interaction with Humanoid Robots

Published on: November 24, 2015

13.7K

Sub-Group Partition Strategy for RSVP-based Collaborative Brain-Computer Interfaces.

Yuan Si, Zhenyu Wang, Xi Zhao

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |December 3, 2025
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces a novel strategy to group collaborators in brain-computer interfaces for better performance. The new method optimizes sub-group composition, improving classification accuracy and efficiency in visual tasks.

    More Related Videos

    Inter-Brain Synchrony in Open-Ended Collaborative Learning: An fNIRS-Hyperscanning Study
    04:44

    Inter-Brain Synchrony in Open-Ended Collaborative Learning: An fNIRS-Hyperscanning Study

    Published on: July 21, 2021

    4.9K
    Functional Near Infrared Spectroscopy of the Sensory and Motor Brain Regions with Simultaneous Kinematic and EMG Monitoring During Motor Tasks
    11:31

    Functional Near Infrared Spectroscopy of the Sensory and Motor Brain Regions with Simultaneous Kinematic and EMG Monitoring During Motor Tasks

    Published on: December 5, 2014

    15.6K

    Related Experiment Videos

    Last Updated: Jan 9, 2026

    SSVEP-based Experimental Procedure for Brain-Robot Interaction with Humanoid Robots
    11:01

    SSVEP-based Experimental Procedure for Brain-Robot Interaction with Humanoid Robots

    Published on: November 24, 2015

    13.7K
    Inter-Brain Synchrony in Open-Ended Collaborative Learning: An fNIRS-Hyperscanning Study
    04:44

    Inter-Brain Synchrony in Open-Ended Collaborative Learning: An fNIRS-Hyperscanning Study

    Published on: July 21, 2021

    4.9K
    Functional Near Infrared Spectroscopy of the Sensory and Motor Brain Regions with Simultaneous Kinematic and EMG Monitoring During Motor Tasks
    11:31

    Functional Near Infrared Spectroscopy of the Sensory and Motor Brain Regions with Simultaneous Kinematic and EMG Monitoring During Motor Tasks

    Published on: December 5, 2014

    15.6K

    Area of Science:

    • Neuroscience
    • Human-Computer Interaction
    • Signal Processing

    Background:

    • Collaborative brain-computer interfaces (cBCIs) enhance electroencephalogram (EEG) classification in rapid serial visual presentation (RSVP) tasks.
    • Optimizing sub-group composition within cBCIs remains a challenge for maximizing system performance.

    Purpose of the Study:

    • Introduce a novel sub-group partition strategy for RSVP-based cBCI systems.
    • Develop metrics to estimate subgroup capability and evaluate overall system performance.

    Main Methods:

    • Developed intra-individual and inter-individual neural response reproducibility (IINRR) to assess subgroup capability.
    • Proposed an IINRR-based partition strategy for optimizing sub-group composition.
    • Introduced collaborative information processing rate (CIPR) to evaluate system performance.

    Main Results:

    • The proposed IINRR-based strategy outperformed random partitioning in both within-session and cross-session scenarios.
    • Achieved higher classification performance and system efficiency compared to random grouping.
    • Validated the strategy's effectiveness on a public RSVP-based cBCI dataset.

    Conclusions:

    • The novel sub-group partition strategy effectively optimizes group composition in RSVP-based cBCI systems.
    • Demonstrated potential for practical applications requiring efficient group collaboration in cBCI.