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

Establishment of High Channel-Count Packaging in Active Implantable Medical Devices for Neuroprosthesis.

Journal of biomedical materials research. Part B, Applied biomaterials·2026
Same author

Computational modelling of the suppression of optic nerve fibre.

Medical & biological engineering & computing·2026
Same author

Bilateral retinal implants for improving visual restoration: a simulated bionic vision study.

Medical & biological engineering & computing·2026
Same author

Generating Natural Neural Response in Visual Neuroprosthetics Using the Artificial Bee Colony Algorithm.

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

Rapid detection of ibuprofen in water using wavelet-based hyperspectral imaging.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy·2025
Same author

An arbitrary waveform neurostimulator for preclinical studies: design and verification.

Medical & biological engineering & computing·2024
Same journal

Use of RPNIs and Implanted Electrodes for Prosthetic Wrist and Multi-Grip Hand Control during Functional Tasks: A Case Study.

IEEE transactions on bio-medical engineering·2026
Same journal

Healthy Limb Driven Prediction for Real Time Control of Unilateral Exoskeletons in Gait Rehabilitation.

IEEE transactions on bio-medical engineering·2026
Same journal

A Miniature Wearable Ultrasound System for Continuous Bladder Monitoring with Sleeping-Position-Robust Modeling Strategies.

IEEE transactions on bio-medical engineering·2026
Same journal

A Bi-objective Array Optimization Framework for Magnetocardiographic Source Imaging.

IEEE transactions on bio-medical engineering·2026
Same journal

A Dynamic Mutual Information Measure of Phase-Amplitude Coupling with Uncertainty Quantification.

IEEE transactions on bio-medical engineering·2026
Same journal

Enhancing Communication Robustness for Leadless Pacemakers: 2-DOF Gain Compensation Across Physiologic and Pathologic Dynamics.

IEEE transactions on bio-medical engineering·2026
See all related articles

Related Experiment Video

Updated: Jun 24, 2026

STFEEG-Tool: A Spatial-Temporal-Frequency EEG Analysis Tool for Motor Imagery Brain-Computer Interfaces
05:36

STFEEG-Tool: A Spatial-Temporal-Frequency EEG Analysis Tool for Motor Imagery Brain-Computer Interfaces

Published on: March 10, 2026

EMBC Special Issue: Stimulus Optimization Using the Artificial Bee Colony Algorithm for Visual Neuroprostheses.

Ariastity Pratiwi, Jorge Jara-Balsera, Hipolito Guzman-Miranda

    IEEE Transactions on Bio-Medical Engineering
    |June 22, 2026
    PubMed
    Summary
    This summary is machine-generated.

    This study optimized electrical stimulation patterns for visual neuroprosthetics using the Artificial Bee Colony algorithm. The method effectively mimics natural neural responses, improving prosthetic functionality.

    More Related Videos

    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

    A Single-Channel and Non-Invasive Wearable Brain-Computer Interface for Industry and Healthcare
    06:34

    A Single-Channel and Non-Invasive Wearable Brain-Computer Interface for Industry and Healthcare

    Published on: July 7, 2023

    Related Experiment Videos

    Last Updated: Jun 24, 2026

    STFEEG-Tool: A Spatial-Temporal-Frequency EEG Analysis Tool for Motor Imagery Brain-Computer Interfaces
    05:36

    STFEEG-Tool: A Spatial-Temporal-Frequency EEG Analysis Tool for Motor Imagery Brain-Computer Interfaces

    Published on: March 10, 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

    A Single-Channel and Non-Invasive Wearable Brain-Computer Interface for Industry and Healthcare
    06:34

    A Single-Channel and Non-Invasive Wearable Brain-Computer Interface for Industry and Healthcare

    Published on: July 7, 2023

    Area of Science:

    • Biomedical Engineering
    • Computational Neuroscience
    • Artificial Intelligence

    Background:

    • Visual neuroprosthetics aim to restore vision by electrically stimulating the retina.
    • Current stimulation patterns often lack the precision of natural neural responses.
    • Optimizing stimulation is key to enhancing prosthetic performance and user experience.

    Purpose of the Study:

    • To develop and evaluate an Artificial Bee Colony (ABC) algorithm for optimizing electrical stimulation patterns.
    • To generate physiologically realistic neural responses in retinal ganglion cells (RGCs).
    • To advance the development of intelligent stimulation strategies for visual neuroprosthetics.

    Main Methods:

    • An in silico approach using the ABC algorithm to optimize stimulus waveforms.
    • Utilizing a computational model of ON and OFF RGCs.
    • Matching simulated responses to recorded neural data from the rat dorsolateral geniculate nucleus (dLGN).

    Main Results:

    • The ABC algorithm achieved >=80% cross-correlation with target neural responses within 2000 iterations.
    • Identified optimized waveforms eliciting distinct responses in neighboring neurons.
    • Demonstrated superior accuracy compared to alternative optimization algorithms under computational constraints.

    Conclusions:

    • The ABC-based approach effectively generates natural-like neural activation patterns.
    • This method supports real-time and adaptive stimulation control for visual neuroprosthetics.
    • Introduces a biologically inspired framework for intelligent stimulation strategies.